Summary of AWS blogs for the week of monday Mon Nov 06

In the week of Mon Nov 06 2023 AWS published 115 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Desktop and Application Streaming with Amazon AppStream 2.0

Transform Application Delivery with AppStream 2.0

Software-as-a-Service (SaaS) models are transforming the way organizations deliver applications to end users. Amazon AppStream 2.0 makes it easy for organizations to deliver applications without having to rewrite complex code. AppStream 2.0 has a number of advantages, including reducing the cost of deploying, managing, and scaling applications. It also enables organizations to quickly deploy applications with minimal effort and provide secure access to applications for end users.

Optimize Costs with AppStream 2.0 Fleet Options

The migration to cloud-native End User Computing (EUC) solutions means organizations have the ability to leverage the benefits of the cloud. One way organizations can do this is by using Amazon AppStream 2.0. AppStream 2.0 offers cost-optimization capabilities to help organizations scale applications without sacrificing performance. It allows organizations to allocate resources, such as compute and storage, to meet their needs. AppStream 2.0 also enables organizations to make use of auto-scaling to automatically increase or decrease resources based on user demand.

KeyCore: Your Trusted Partner

At KeyCore, we specialize in helping organizations to maximize the benefits of the cloud. Our team of experienced AWS consultants can help you to get the most out of AWS, including Amazon AppStream 2.0. We provide both professional services and managed services to help organizations migrate, deploy, and manage cloud-native applications. Together, we can ensure your organization is leveraging the power of cloud-native solutions and AppStream 2.0.

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AWS DevOps Blog

AWS CodeBuild adds support for AWS Lambda compute mode

AWS CodeBuild recently announced that it now supports running projects on AWS Lambda. AWS CodeBuild is a fully managed continuous integration (CI) service that simplifies the process of building and testing code. This new compute mode allows developers to execute their CI process on AWS Lambda base images. This makes it possible to build and test projects quickly and efficiently.

What is AWS Lambda?

AWS Lambda is an event-driven, serverless computing platform provided by Amazon Web Services (AWS). It enables developers to build applications and services that respond instantly to events and scale automatically. Lambda functions are triggered by events from other AWS services or from user-defined web or mobile applications. AWS Lambda is used to run code in response to events, with no need for servers or provisioning.

Benefits of using AWS Lambda as a compute mode for AWS CodeBuild

Using AWS Lambda as a compute mode for CodeBuild provides a number of benefits. First, it simplifies the process of building and testing code, allowing developers to focus more on the development process itself. Additionally, it helps reduce the cost associated with running a CI process, since the cost is based on the amount of time consumed and not on the number of build servers used. Finally, Lambda’s event-driven nature makes it easy to quickly scale up or down depending on the need, allowing developers to quickly adjust to changing project requirements.

KeyCore can help you get the most out of AWS CodeBuild

At KeyCore, we are experts in AWS and can help you take advantage of the benefits of AWS CodeBuild’s new Lambda compute mode. Our team of AWS professionals can help you build a CI/CD pipeline optimized to take advantage of the features available in AWS CodeBuild using Lambda. We can also help you design and optimize your Lambda-based CI/CD pipeline for maximum performance and cost savings. Contact KeyCore today to get started.

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Official Machine Learning Blog of Amazon Web Services

Harness the Power of Generative AI with Amazon Web Services

Ensure Trust and Safety with Amazon Comprehend

Organizations relying on large language models (LLMs) to power AI applications are increasingly focused on data privacy, as well as preventing abusive and unsafe content from being propagated. Amazon Comprehend features enable seamless integration to ensure trust and safety for AI applications. This includes handling customers’ PII data properly, and checking that data generated by LLMs follows the same principles.

Create Predictions with Machine Learning Without Code

Amazon SageMaker Canvas allows users to create ML predictions, especially for text and images, without extensive ML knowledge. This makes ML accessible to any user looking to generate business value from ML models.

Optimize Hyperparameters with Automatic Model Tuning

Creating high-performance ML solutions requires exploring and optimizing training parameters, or hyperparameters. Hyperparameters are levers used to adjust the training process and vary depending on the model and task at hand. Amazon SageMaker Automatic Model Tuning helps explore hyperparameters in an efficient and cost-effective way.

Automate ML Pipelines with Model Registry

Building an MLOps platform to bridge the gap between data science experimentation and deployment requires meeting performance, security, and compliance requirements. Amazon SageMaker Model Registry automates ML pipelines and helps ensure regulatory and compliance requirements.

Customize Coding Companions for Organizations

Generative AI models for coding companions are usually trained on publicly available source code and natural language text. However, they are unaware of code in private repositories and the associated coding styles. CodeWhisperer helps customize coding companions for organizations, improving code efficiency and reducing overall energy consumption.

Build Medical Imaging AI Inference Pipelines

MONAI Deploy App SDK can be used to support hospital operations and deploy MAP AI applications on SageMaker at scale. This post demonstrates how to create a MAP connector to AWS HealthImaging, and seamlessly integrate and accelerate image data retrieval.

Use Generative AI to Automate Call Summaries

Generative AI can be used to reduce the effort and improve accuracy of creating call summaries and dispositions. Live Call Analytics with Agent Assist is an open source solution that helps contact centers understand customer calls, and eliminates the need for customers to repeat information when transferred to another agent.

Customize Textract with Business-Specific Documents

Amazon Textract can automatically extract text, handwriting, and data from scanned documents. With Custom Queries, users can customize the feature for their business-specific, non-standard documents.

Stream LLM Responses in Amazon SageMaker JumpStart

Amazon SageMaker JumpStart can now stream LLM inference responses. Token streaming allows users to see the model response output as it is being generated, instead of waiting for the model to finish.

How KeyCore Can Help

At KeyCore we provide professional and managed services for AWS customers. Our consultants are highly advanced in AWS, capable of responding with highly technical details and/or references to AWS documentation or code snippets. Our services cover AWS in its entirety from strategic decision making to implementation and beyond, and we have extensive experience with the services discussed in this article. Contact us today to find out how KeyCore can help you harness the power of generative AI.

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Announcements, Updates, and Launches

AWS has released Several Updates and Launches

Amazon SQS Update and AWS SDK Reduction of Latency

AWS has released an update for Amazon SQS which is designed to reduce latency. SQS allows for the sending and receiving of messages between software components at any scale. This was one of the first AWS services, and it has been generally available since July 2006. This update allows users to reduce latency of their applications even further.

Block Public Sharing of Amazon EBS Snapshots

Amazon has released a feature that allows you to disable public sharing of both new and existing Amazon EBS Snapshots on a per-region, per-account basis. This upgrade provides an extra layer of protection against accidental or unintentional data leakage.

Amazon Comprehend Toxicity Detection

AWS has added Toxicity Detection to Amazon Comprehend. This feature allows users to extract insights from text without needing to be an expert in machine learning. Comprehend can analyze the syntax of input documents, and it can also detect entities, events, key phrases, PII, and the sentiment associated with specific entities.

Manage Planned Lifecycle Events on AWS Health

New features in AWS Health are now available to help users manage planned lifecycle events for their AWS resources. These features allow users to dynamically track the completion of actions taken at the resource-level, which helps to ensure continued smooth operations of applications. Examples of planned lifecycle events include Amazon EKS cluster updates and Amazon RDS maintenance.

Amazon Aurora MySQL Zero-ETL Integration with Amazon Redshift

The Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available. This feature allows users to easily build data pipelines to move data from Amazon Aurora to Amazon Redshift, which helps them gain insights from their data.

Create Application-Consistent Snapshots Using Amazon Data Lifecycle Manager

Amazon Data Lifecycle Manager now supports the usage of pre-snapshot and post-snapshot scripts embedded in AWS Systems Manager documents. These scripts allow you to ensure that Amazon EBS snapshots created by the Data Lifecycle Manager are application-consistent. They can also pause and resume I/O operations, flush buffered data to EBS volumes, and ensure transactional consistency.

AWS Weekly Roundup

The year is coming to an end and with that comes AWS re:Invent. Last week’s launches include the ability to reserve GPU capacity for short ML workloads, and Finch is now generally available.

Amazon EC2 Instance Metadata Service IMDSv2

Amazon EC2 instance types now only use version 2 of the EC2 Instance Metadata Service. This service is accessible from within an EC2 instance at a special URL, and it provides information about the instance, such as security credentials, instance ID, and hostname.

How KeyCore Can Help

At KeyCore, we offer both professional services and managed services for AWS. Our team of experts are highly advanced in AWS and can help you with everything from AWS updates and launches to Amazon Aurora MySQL zero-ETL integration with Amazon Redshift. With our help, you can ensure that your applications are running smoothly and that you are taking full advantage of the newest AWS features. Contact us today to learn more.

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Container Technology: Benefits, Considerations, and Best Practices

Container technology is a popular and powerful way to scale applications, reduce latency, and deploy new features quickly, and is used by many customers to achieve cost efficiency. Amazon Web Services (AWS) container services are a great choice for migrating from Cloud Foundry Platform as a Service (PaaS).

Enable Private Access with AWS PrivateLink

The growth of Kubernetes in recent years has seen businesses deploying multiple Amazon Elastic Kubernetes Service (Amazon EKS) clusters to support their applications, usually deployed in separate Amazon Virtual Private Clouds (Amazon VPCs) and often in separate AWS accounts. To ensure secure access to the Kubernetes API, businesses can use AWS PrivateLink to provide a private connection between the Amazon EKS cluster and the Amazon VPC.

Serverless Containers at AWS re:Invent 2023

At AWS re:Invent 2023, the Amazon Elastic Container Service (Amazon ECS) and the AWS Fargate teams shared their best practices and tips to help businesses increase productivity, optimize costs, and accelerate business agility. At the event, attendees gained a better understanding of how serverless containers help streamline the deployment and maintenance of containerized applications.

Managing On-premises Egress with Amazon EKS

When adopting a Kubernetes platform, architect teams are often highly focused on INGRESS traffic patterns. Kubernetes’ object model allows the load-balancing of pods natively and extends the constructs to support external traffic flows. However, teams must also consider the EGRESS traffic patterns and how to effectively manage access to resources outside of the cluster.

Securing API Endpoints with Amazon API Gateway and Amazon VPC Lattice

Microservices architectures often contain internal applications exposed as private API endpoints and publicly exposed via a centralized API gateway. To ensure these endpoints are secure, AWS provides a combination of Amazon API Gateway and Amazon VPC Lattice to centrally manage security and ensure that only approved services can access the API.

How KeyCore Can Help

At KeyCore, our team of experienced AWS consultants can help you design, develop, deploy, and maintain secure containerized applications for your business. From migrating from Cloud Foundry PaaS to AWS containers, to managing on-premises egress and securing API endpoints, our team has the expertise to ensure your applications run smoothly and securely. Contact us today to learn more about how our team can help.

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AWS Quantum Technologies Blog

Unlocking the Potential of Quantum Computing in Drug Discovery with Kvantify’s FAST-VQE Algorithm

Quantum computing has immense potential for use in computational chemistry, but there are practical limitations that make it difficult to realize this potential. For instance, building a quantum computer with enough qubits to perform a full molecular simulation is still an open challenge.

Kvantify, an AWS Partner Network (APN) Advanced Technology Partner, has developed a new algorithm, FAST-VQE, that is designed to address current practical limitations of quantum computers and make molecular electronic structure simulations more accessible.

A Smarter Approach to Molecular Simulations

Kvantify’s FAST-VQE algorithm is a variation of a well-known quantum chemistry technique called Variational Quantum Eigensolver (VQE). VQE is based on the energy minimization principle, which reduces the search space for the ground state of molecular systems.

The main difference between FAST-VQE and VQE is the fact that the former uses a parametrized ansatz for the wavefunction, which makes it more efficient and cost-effective. This makes it possible to run molecular simulations on near-term quantum computers, or NISQ (Noisy Intermediate Scale Quantum) devices.

Achieving High Accuracy at Low Cost

The FAST-VQE algorithm has been tested using Amazon Braket, a fully managed service that makes it easy to develop quantum algorithms and run them on various quantum computing hardware. The testing revealed that FAST-VQE can achieve comparable accuracy and superior cost-effectiveness compared to VQE on NISQ devices.

The results are promising, showing that FAST-VQE on NISQ devices can be used to perform molecular electronic structure simulations with high accuracy and low cost. This is a major step forward in making quantum computing accessible to a wider range of users, and unlocking its potential for drug discovery and other applications.

KeyCore Can Help Unlock the Potential of Quantum Computing for Your Business

At KeyCore, we understand the potential of quantum computing for our customers, and we are committed to helping them unlock the power of this technology. We have extensive experience working with quantum algorithms and hardware. Our team of experienced AWS Certified experts can help you develop and deploy quantum algorithms to enable transformative applications for your business. Contact us today to learn more about how we can help.

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Official Database Blog of Amazon Web Services

Exploring the Benefits of PostgreSQL Extended Query Protocol for Amazon RDS Proxy

PostgreSQL’s Extended Query Protocol enables communication between a client and server. It offers benefits such as improved connection pooling and the ability to reduce overhead associated with managing connections. Amazon RDS Proxy has recently added support for multiplexing with the Extended Query Protocol, allowing customers to more efficiently manage their workloads.

Scaling Amazon RDS Storage

Amazon RDS provides customers with a highly available and reliable database service. When you increase storage for a database in Amazon RDS, the process can take a few hours. To simplify and speed up this process, a storage autoscaling option is now available. This allows for scaling up storage in 10 GiB and 10% increments, with no further modifications required for up to 6 hours.

Boost Performance of RDS for MySQL with Amazon ElastiCache for Redis

Customers often need to improve their application performance and response times while optimizing the cost of their database environment. Amazon ElastiCache for Redis helps them do this by scaling to hundreds of millions of operations per second with microsecond response time. This offers an ideal environment for internet-scale applications with a large volume of data and throughput.

Best Practices for Sizing ElastiCache for Redis Clusters

Amazon ElastiCache for Redis is a powerful, fully managed service that provides excellent performance and scalability for modern applications. It can be scaled seamlessly to accommodate changes in usage patterns. To ensure that your cluster is sized correctly, it’s important to consider the memory capacity of the nodes, the number of nodes, and the node type.

Migrating Business-Critical Applications to Amazon RDS for Oracle and Aurora PostgreSQL

Amazon RDS for Oracle and Aurora PostgreSQL are fully managed commercial databases that make it straightforward to set up, operate, and scale deployments in the cloud. This post explores the process of migrating a business-critical application from a SuperCluster Oracle instance to Amazon RDS for Oracle, as well as providing insight into the migration of global unique indexes in partitioned tables to Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL.

Amazon Aurora Optimized Reads for Aurora PostgreSQL

Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database service that has recently released Optimized Reads, a feature that delivers up to 8x improved query latency and up to 30% cost savings for applications with large datasets that exceed the memory capacity of the database instance. This feature is available on AWS Graviton-based db.r6gd and Intel-based db.r6id instances that support NVMe storage.

Exploring the Amazon Timestream UNLOAD Statement

Amazon Timestream is a fully managed, scalable, and serverless time series database service that makes it easy to store and analyze trillions of events per day. It has recently introduced an UNLOAD statement, enabling customers to export time-series data for additional insights. This statement helps customers create and maintain a real-time analytics pipeline with increased performance and cost efficiency.

Determining the Optimal Value for Shared_buffers Using the Pg_buffercache Extension in PostgreSQL

In OLTP databases, allocating the right amount of memory to the buffer cache can make a huge difference in terms of performance. Setting the appropriate values for shared_buffers is critical to maximizing PostgreSQL performance, as it leads to significant reductions in overall system I/O operations. The pg_buffercache extension helps customers quickly determine the optimal values for shared_buffers.

Working with Geospatial Data in ElastiCache for Redis

Geospatial data is all around us, from maps and weather to tracking software on phones. ElastiCache for Redis makes it easy to work with this type of data, as demonstrated in this post by exploring a ride sharing app use case. It’s a powerful tool for optimizing applications and delivering fast, real-time results to customers.

Migrating from Oracle PL/JSON to Aurora PostgreSQL JSONB

JSON (JavaScript Object Notation) is a popular format for exchanging and storing data, and as such, databases have evolved to include native support for it. Oracle’s PL/JSON is an open-source package for working with JSON, and this post explores the process of migrating from Oracle PL/JSON to Aurora PostgreSQL JSONB.

Accelerating HNSW Indexing and Searching with Pgvector on Amazon RDS for PostgreSQL

Finding the optimal configurations for Generative AI applications is important to ensure fast and efficient performance. This post discusses the process of running a series of tests to determine how pgvector performs with HNSW indexing and searching on Amazon RDS for PostgreSQL.

How KeyCore Can Help With PostgreSQL Extended Query Protocol for Amazon RDS Proxy

At KeyCore, we are experts in AWS and are highly experienced in helping customers with their PostgreSQL databases and Amazon RDS Proxy. Our professional services team can help you set up, monitor, and optimize your database environment, and with our managed services, you can rest assured knowing that your database is being monitored and managed 24/7.

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AWS Cloud Financial Management

AWS Cloud Financial Management Launch Recap: Q3 2023

AWS Cloud Financial Management (AWS CFM) has launched several new capabilities, making it easier for customers to manage their cloud spending and optimize their financial investments in the cloud. In this quarter’s launch recap, we’ll take a look at the new features and discuss how KeyCore can help customers make the most of them.

AWS Cost Explorer Enhancements

AWS Cost Explorer has received several enhancements to help customers gain insight into their cloud cost and usage. Enhanced query capabilities allow customers to gain deeper insights into their AWS usage, through more granular filtering and customizable reports. Cost Explorer also now includes support for evaluating Reserved Instance (RI) recommendations, making it easier to understand and optimize RI investment.

AWS Cost & Usage Reports (CUR)

AWS Cost & Usage Reports (CUR) has seen a number of improvements, including more granular filtering and customizable reports. This makes it easier for customers to gain detailed insights into their cloud cost and usage. Additionally, customers can now export their CUR data into Amazon Athena and Amazon Redshift for further analysis.

AWS Budgets

AWS Budgets now lets customers set custom budgets based on their usage of various AWS services. Customers can also track their cost progress against their budget through an interactive dashboard, and receive notifications when their budget is exceeded.

AWS Marketplace

AWS Marketplace has been enhanced with new features that make it easier to find, compare, and purchase software. Customers can now order products directly from the Marketplace, offering more flexibility for purchasing third-party software.

How KeyCore Can Help

At KeyCore, we have the expertise to help customers make the most of these new features. Our team of AWS Certified Solution Architects and DevOps professionals can help customers optimize their AWS usage, and can assist with setup and implementation of the new AWS Cloud Financial Management features. We also have experience helping enterprises create cost management strategies that align with their business objectives. Contact us today to learn more.

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AWS Training and Certification Blog

Launch Your Career in Cloud Computing with AWS Cloud Institute and KeyCore

As cloud technology continues to dominate the IT landscape, the demand for skilled professionals who can build and innovate on the cloud is ever-increasing. AWS Cloud Institute is a virtual cloud-skills training program designed to help individuals launch their career as a cloud developer in as little as one year, regardless of their existing technical background. In this blog post, we will discuss the four reasons why it is the right time to launch your cloud career with AWS Cloud Institute and how KeyCore can help you on your journey.

Four Reasons to Launch Your Cloud Career Now

AWS Cloud Institute is the perfect opportunity for those looking to jumpstart their cloud career. With the ability to access virtual learning modules 24/7, you can select the topics that interest you the most, and receive guidance and support through online forums and virtual labs. Here are the top four reasons why now is the ideal time to begin your cloud journey with AWS Cloud Institute:

  • Learn at Your Own Pace – AWS Cloud Institute enables you to learn at your own pace, with the ability to access learning modules anytime, anywhere. With modular courses and interactive labs, you can focus on the topics that interest you the most and take your time in understanding the material.
  • Enhanced Capabilities: When you complete the AWS Cloud Institute program, you gain access to more advanced cloud capabilities and technologies, including containerization, DevOps, continuous delivery, and more.
  • Industry Experience: AWS Cloud Institute provides an opportunity to gain hands-on experience and build your cloud skills portfolio, which is invaluable in the current job market.
  • Career Support: With the AWS Cloud Institute, you have access to a dedicated team of experts who provide mentorship and career guidance, helping you get the most out of the program.

Getting Started in Cloud Computing with Deepti Trivedi

Deepti Trivedi was once a cloud beginner, but now focuses her day-to-day work on training early-career cloud technologists. In her blog post, Deepti shares three tips for getting started in cloud computing:

  • Start Small: When you’re new to the cloud, it can be intimidating. Deepti recommends starting small and gradually building your skills. This will help you gain confidence and learn the basics before tackling more complex tasks.
  • Join a Community: Deepti recommends joining a cloud community to learn from experienced professionals and get hands-on experience. This will help you stay up-to-date on best practices and industry trends.
  • Expand Your Knowledge: Deepti recommends taking advantage of cloud certification programs and courses to expand your knowledge and give you a competitive edge in the job market.

Rev Up Your Career with AWS Partner Certification Readiness Program

AWS Partner Certification Readiness programs are designed to help partner learners preparing for AWS Certification exams speed up their journey. This program combines live study sessions, which are also recorded and available on demand, online resources, optional AWS Builder Labs, and AWS Certification Official Practice Exams, all tailored to people who are looking to gain knowledge as quickly as possible and put it into action.

Launch Your Career with KeyCore

At KeyCore, we provide professional services and managed services to help you on your cloud computing journey. We are highly advanced in AWS and can help you get started on your path to success. Whether you are just beginning or are already an expert, our team is here to help you every step of the way. From cloud strategy and design to solution architecture and implementation, we are committed to helping you achieve your goals.

If you are interested in learning more, please feel free to reach out to us. We look forward to helping you launch your career in cloud computing with AWS Cloud Institute and KeyCore.

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Official Big Data Blog of Amazon Web Services

Simplify Data Processing with Amazon Redshift Integration for Apache Spark

Apache Spark is a widely used open source distributed processing system, popular for its ability to handle large-scale data workloads. It’s often used alongside Amazon EMR, Amazon SageMaker, AWS Glue, and custom Spark applications. Amazon Redshift offers seamless integration with Apache Spark, making it easy to access and process data stored in Redshift. This integration also makes it possible to use Amazon Redshift as a destination for Spark jobs.

Furthermore, Capitec has used Amazon Redshift for Apache Spark integration to simplify their data processing. In this post, co-written with Preshen Goobiah and Johan Olivier from Capitec, they discuss how Amazon Redshift integration enabled them to make the most of the data processing features of Apache Spark. This includes using Redshift for Apache Spark’s built-in integration with Amazon EMR, Amazon SageMaker, and AWS Glue, as well as for custom Spark applications.

Create a Modern Data Platform Using the Data Build Tool (dbt) in the AWS Cloud

Creating a modern data platform involves various approaches, each with its unique blend of complexities and solutions. This post delves into the case of building a modern data platform with the Data Build Tool (dbt) in the AWS Cloud. Targeting diverse platform capabilities such as high performance, ease of development, cost-effectiveness, and DataOps features such as CI/CD, lineage, and unit testing, dbt allows you to set up and maintain data across multiple layers.

Additionally, dbt can be used to connect data sources such as Amazon Redshift, Amazon Aurora, Amazon S3, and other databases, and is designed for both cloud and on-premise deployments. This makes it easy to access and use the data, allowing for faster decisions and improved user experience.

Real-Time Streaming Data Top Picks You Cannot Miss at AWS re:Invent 2023

Attending AWS re:Invent 2023? This post will help you make the most of your experience by highlighting essential sessions on real-time streaming data and more that you shouldn’t miss. Be sure to register for re:Invent and access the session catalog for access to these sessions.

How Gilead Used Amazon Redshift to Quickly and Cost-Effectively Load Third-Party Medical Claims Data

This post was co-written with Rajiv Arora, Director of Data Science Platform at Gilead Life Sciences. Gilead Sciences, Inc. is a biopharmaceutical company that uses innovative medicines to prevent and treat life-threatening diseases, including HIV, viral hepatitis, inflammation, and cancer. Amazon Redshift has enabled Gilead to quickly and cost-effectively load third-party medical claims data.

By using Amazon Redshift, Gilead was able to have their data engineering team quickly set up a data warehouse using open source technologies, eliminating the need for manual data loading. This enabled their team to quickly see trends and gain insights in the data. Additionally, Gilead was able to easily access the data and quickly understand the impact of different treatments on patients and make better decisions in the process.

Implement Fine-Grained Access Control in Amazon SageMaker Studio and Amazon EMR Using Apache Ranger and Microsoft Active Directory

In this post, we describe how to authenticate into SageMaker Studio using an existing Microsoft Active Directory (AD), with authorized access to both Amazon S3 and Hive cataloged data. This authentication is made possible with Apache Ranger integration and AWS IAM Identity Center (successor to AWS Single Sign-On). This solution allows you to manage access to multiple SageMaker environments and SageMaker Studio notebooks using a single set of credentials.

Moreover, jobs created from SageMaker Studio notebooks will only have access to data and resources permitted by Apache Ranger policies linked to the AD credentials, inclusive of table and column-level access. This feature of Apache Ranger and IAM Identity Center allows for fine-grained access control for data stored in Amazon S3 and Hive catalogs.

Configure Dynamic Tenancy for Amazon OpenSearch Dashboards

Amazon OpenSearch Service is a powerful tool that enables up-to-date search, monitoring, and analysis of business and operational data. In this post, we talk about configurable dashboards tenant properties in Amazon OpenSearch Service. OpenSearch Dashboards tenants are spaces that allow you to save index patterns, visualizations, dashboards, and other resources.

With dynamic tenancy, you can configure tenants with features such as Amazon S3 access control, Amazon Kinesis Data Firehose data delivery, and Amazon CloudWatch Logs data logging. Additionally, you can access Amazon Elasticsearch Service indices and Kibana dashboards from OpenSearch Dashboards tenants.

Connect Your Data for Faster Decisions with AWS

Creating meaningful insights from data typically requires complex ETL (extract, transform, and load) pipelines. This can take hours or days, making it too slow for decision-making speed. With AWS, you can simplify and sometimes eliminate the need for ETL pipelines. AWS is investing in solutions such as AWS Glue DataBrew that make it easy to prepare, clean, and transform data. Additionally, AWS is investing in solutions such as AWS Glue DataBrew that allow you to join data in a single query and quickly create insights.

At KeyCore, we understand that setting up and maintaining ETL pipelines can be a challenge. We have the experience and knowledge to help you make the most of your data by creating fast and secure ETL pipelines.

Introducing Amazon MWAA Support for Apache Airflow Version 2.7.2 and Deferrable Operators

In this post, we discuss the availability of Apache Airflow Version 2.7.2 environments and support for deferrable operators on Amazon MWAA. We provide an overview of deferrable operators and triggers, including a walkthrough of an example showcasing how to use them. Additionally, this post delves into the new features and capabilities of Apache Airflow, and how you can set up or upgrade your Amazon MWAA environment to Version 2.7.2.

Use IAM Runtime Roles with Amazon EMR Studio Workspaces and AWS Lake Formation for Cross-Account Fine-Grained Access Control

Amazon EMR Studio is an intuitive IDE designed to make data engineering and data science application development in R, Python, Scala, and PySpark easy. EMR Studio comes with managed Jupyter notebooks and tools like Spark UI and YARN Timeline Server. Additionally, it can be used to connect to various data sources such as Amazon Redshift, Amazon Aurora, Amazon S3, and other databases.

IAM runtime roles can be used with EMR Studio and AWS Lake Formation to create fine-grained access control for data stored in Amazon S3 and Hive catalogs. This allows for quick and secure access to data stored in multiple accounts, making it easy to make fast decisions and improve the user experience. At KeyCore, we provide managed services that can help you make the most of these features to ensure your data remains secure and accessible.

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Networking & Content Delivery

Networking & Content Delivery

Introducing CloudFront Security Dashboard, a Unified CDN and Security Experience

Customers have increasingly been using Amazon CloudFront and AWS WAF together in order to improve the performance, resiliency, and security of their web applications and APIs. CloudFront is a Content Delivery Network (CDN) that sends data to viewers all around the world using the same network, vastly reducing latency. It also optimizes application and API performance by caching data at strategically located points around the world.

AWS WAF helps protect web applications and APIs from attacks such as DDoS, SQL injection, and cross-site scripting. By combining the two, customers can better protect their web applications and APIs while gaining the benefits of CloudFront.

To make it easier for customers to take advantage of these two services, AWS has introduced the CloudFront Security Dashboard. This dashboard unifies the CDN and security experiences, making it easier to monitor and manage CloudFront and AWS WAF.

The CloudFront Security Dashboard provides customers with an overview of their applications’ performance, security, and compliance posture. It also provides actionable insights into the health of their applications, allowing customers to make informed decisions about how to best optimize their web applications and APIs.

The CloudFront Security Dashboard also makes it easier to configure security policies. Customers can easily create and manage WAF web ACLs, which are rules that define the conditions that must be met for a web request to be allowed or blocked.

Exploring Data Transfer Costs for Classic and Application Load Balancers

Elastic Load Balancing offers four types of load balancers including Classic Load Balancers (CLB) and Application Load Balancer (ALB). Understanding how data transfer costs work in these scenarios is critical for customers to optimize their costs on AWS.

In this post, we explore how Amazon Elastic Compute Cloud (Amazon EC2) data transfer costs apply to the communication between Classic Load Balancers (CLB), Application Load Balancer (ALB), clients, and targets in multiple scenarios. This helps customers understand how to best optimize their data transfer costs on AWS.

We also review important considerations such as data transferred out from the targets, and data transferred into the targets. Data transferred out from the targets is charged based on the outbound data transfer rates, and data transferred into the targets is charged based on the inbound data transfer rates.

In addition, we discuss the data transfer costs of communication between the Classic Load Balancers and the Application Load Balancers in multiple scenarios. We explain how data transfer costs are calculated for different types of traffic, such as public traffic, internal traffic, and Amazon VPC traffic.

Announcing AWS Global Accelerator IPv6 support for Network Load Balancer (NLB) endpoints

AWS Global Accelerator now offers support for routing IPv6 traffic directly to dual-stack Network Load Balancer (NLB) endpoints. This makes it possible to achieve end-to-end IPv6 connectivity with dual-stack accelerators and NLB endpoints.

In this post, we will discuss how customers can set up a dual-stack accelerator with NLB endpoints, as well as important considerations.

When setting up a dual-stack accelerator, customers can make sure that the NLB endpoints that they are using are dual-stack. This will ensure that the endpoints are enabled for IPv6 in addition to IPv4.

Once the appropriate NLB endpoints have been set up, customers will need to configure the accelerator to route IPv6 traffic to the NLB endpoints. Customers should also ensure that the NLB endpoints are evenly distributed across the two accelerators to ensure performance.

Finally, customers should be aware that for IPv6 traffic, only custom port mappings are supported. This means that customers must use the same listener ports on the NLB endpoints as the accelerator port mappings.

Tracking Pixel driven web analytics with Amazon CloudFront: Part 2

This post is a continuation of Tracking Pixel driven web analytics with AWS Edge Services. In Part 1 of this series, we discussed using pixel tracking to provide insights into user behavior.

We also discussed how a tracking pixel consists of using a 1×1 transparent pixel with a HTML element to leverage the loading call to send an HTTP request to a server, where the client can then verify the success of the request.

In this post, we will discuss how to use Amazon CloudFront with pixel tracking. Customers can make use of CloudFront to deliver pixel tracking elements to viewers more quickly and reliably. By leveraging CloudFront, customers can reduce latency and optimize performance, allowing them to quickly and easily analyze user behavior.

Using CloudFront also provides customers with additional features, such as edge-caching and security features that are not available with traditional tracking pixel solutions. These features make it easier to deploy a secure and reliable tracking pixel solution.

How KeyCore Can Help

At KeyCore, we provide professional services and managed services to help our customers with every step of their journey to the cloud.

Our team of expert AWS consultants can help you set up and configure CloudFront and other AWS services to optimize your networking and content delivery. We can also help you set up and configure security services, such as AWS WAF, to ensure that your applications and APIs are well protected.

We also offer managed services, including continuous monitoring and incident response, to ensure that your applications and APIs are always running optimally and securely.

If you’re looking for help with networking and content delivery, or any other aspect of your AWS journey, reach out to our team of experts today. We can help you get the most out of AWS.

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AWS Compute Blog

Enhancing Visibility in Event-Driven Applications with Amazon CloudWatch Metrics

AWS CloudWatch provides enhanced metrics to help improve visibility in event-driven applications. These metrics help organizations to track the flow of events from invocation to delivery to their target. This improved observability allows monitoring of key metrics and proactively triggers alerts when they are reached. AWS Lambda can be used to process data from Apache Kafka event-sources to take advantage of these metrics.

Lambda is increasing the default number of initial consumers, improving the speed of consumer scale-up, and helping to ensure that consumers do not scale down too quickly. With this launch, you can now build your Lambda functions using Amazon Linux 2023 as the custom runtime or use it as the base image to run your container-based Lambda functions.

Faster Polling Scale-Up with Amazon SQS

The improved Lambda SQS event source polling scale-up capability enables up to five times faster scale-up performance for spiky event-driven workloads using SQS queues, without any additional cost. This improvement in polling speed helps developers to quickly react to spikes in workloads and proactively scale up the resources for the best possible performance.

KeyCore and AWS Compute

KeyCore can help developers benefit from these improved features and enhance visibility in event-driven applications. Our experienced consultants have the expertise to assist you in migrating to the latest architectures and harnessing the power of AWS services. Moreover, our managed services ensure that your applications are running optimally, so you don’t have to worry about the day-to-day operations.

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AWS for M&E Blog

A Look into the Playbook Pass Rush Game and Anywhere Real Estate’s Listing Concierge App

Playbook Pass Rush

Sports enthusiasts and strategists alike can now step into the world of NFL analytics with the immersive online game Playbook Pass Rush. Developed by AWS and NFL Next Gen Stats, this game offers an up-close and personal look at the strategies and decisions that NFL teams must make.

Through this game, users are able to take on the role of both the offensive and defensive teams. This helps to create a more realistic and deeper understanding of the game. Each side will have a chance to choose their own play and carry out their strategies. Depending on their decisions, the user may either get the ball to their end zone or keep the opposing team from scoring.

AWS and NFL Next Gen Stats have collaborated to ensure that Playbook Pass Rush is equipped with highly realistic simulations. The game utilizes AWS machine learning tools, such as Amazon SageMaker, to allow users to get as close to the real-life NFL experience as possible. By leveraging SageMaker, the game is able to generate a large variety of scenarios and provide highly accurate feedback on the user’s decisions.

Anywhere Real Estate’s Listing Concierge App

Anywhere Real Estate is modernizing the property search, marketing, and transaction experiences with AWS. Their Listing Concierge app helps agents and brokerages to establish credibility and create standout listings.

The app offers a range of features that help to streamline the process of creating listings. Through the use of Amazon Rekognition, the app is able to easily detect any text or graphics in listing photos. It can then automatically add captions to help make the listing more attractive for potential buyers.

The app also uses Amazon SageMaker to develop advanced machine learning models. These models can help to identify the best pricing and marketing strategies for each listing. By using these models, agents and brokerages can find the perfect balance between higher profits and quicker turnover.

KeyCore – Your AWS Partner for M&E

At KeyCore, we specialize in providing professional and managed services for AWS and can help you get the most out of your cloud computing environment. Our team of highly experienced AWS consultants is well-versed in the latest cloud technologies and can help you with everything from developing applications to deploying them in the cloud.

Whether you’re looking to develop a custom application or utilize cloud services like AWS to better manage your data, KeyCore has the expertise to help. With our years of experience and wide range of services, we can help you get the most out of your cloud solution and ensure that your data is safe and secure. Contact us today to get started.

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AWS Storage Blog

Automating Application-consistent Amazon EBS Snapshots for MySQL and PostgreSQL, Windows Applications, and Optimizing Electronic Health Care Records at Scale with Amazon FSx for NetApp ONTAP

AWS provides relational database management, Windows application backup support, and optimized electronic health care records

Amazon Web Services (AWS) provides customers with a range of solutions to help them manage their applications, data replication, backups, and restorations. This article looks at Amazon Elastic Block Store (EBS) Snapshots, specifically how they provide application-consistent snapshots for MySQL and PostgreSQL, Windows applications, and electronic health care records (EHR) at scale.

Application-consistent snapshots for MySQL and PostgreSQL

Organizations use relational database management systems such as MySQL and PostgreSQL to power web applications, dynamic websites, and embedded systems. Customers using AWS to self-host these systems can use their own set of tools to manage operating software, patches, backups, and restorations. Customers can use Amazon EBS Snapshots to back up their databases with an application-consistent approach. This approach ensures that the snapshot contains the application’s data in a consistent state and helps reduce downtime when restoring the system from the snapshot.

Backup support for Windows applications

AWS customers have been running Microsoft workloads for over 16 years. When customers back up their Windows applications, they often spend significant time and manual effort to manage the orchestration of backup workflows. Amazon EBS Snapshots provide application-consistent backup support for these customers, allowing them to back up their applications quickly and easily.

Optimizing electronic health care records

EHR applications are a growing market, and customers are increasingly turning to cloud-based approaches to reduce operational burden, management overhead, capital outlay, and total cost of ownership. Amazon FSx for NetApp ONTAP helps customers optimize their EHR deployments with low latency data access and cost-effective storage scalability. This solution helps customers quickly and easily back up their EHR data with Amazon EBS Snapshots.

KeyCore can help

At KeyCore, we provide professional and managed services to help customers take advantage of the AWS solutions discussed in this article. We provide expertise and guidance to help customers set up application-consistent snapshots for their MySQL and PostgreSQL databases, back up their Windows applications with ease and reliability, and optimize their EHR deployments. Contact us today for more information on how we can help you.

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AWS Architecture Blog

The Benefits of Using Developer Tools on AWS

AWS provides a wide range of tools to support developers in their software development process. By using these tools, developers can create applications quickly and efficiently. Here, we look at some of the AWS developer tools and explain how they can help developers.

Amazon CodeGuru for Code Analysis

Amazon CodeGuru is a code analysis tool that can review code for potential issues and recommend changes. It uses machine learning algorithms to detect code issues, including memory leaks, performance bottlenecks, and code style inconsistencies. This allows developers to detect and fix bugs quickly, improve code efficiency, and make sure their code is up to standards.

Amazon CodeWhisper for Coding Recommendations

Amazon CodeWhisper is an AI-powered coding recommendations tool. It uses machine learning algorithms to scan code for potential issues and suggest changes. This helps developers to write better code, identify potential bugs, and improve the overall structure of the code.

KeyCore: Helping You Maximize the Benefits of AWS Developer Tools

At KeyCore, we understand the importance of having the right tools to help your development team create high-quality applications quickly and efficiently. Our team of professionals can help you select and configure the best developer tools for your specific needs. We can also provide support and training to help your team get the most out of the AWS developer tools. Contact us today to learn more.

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AWS Partner Network (APN) Blog

Multi-Account Strategies and Generative AI Opportunities on AWS

Building a Secure and Scalable Enterprise Landing Zone

Multi-account strategies are architectural patterns involving distributing workloads and services across multiple accounts. This makes the architecture scalable and secure. DXC Technology has a thought process and framework it uses when building a secure, resilient, and scalable enterprise landing zone to support multi-account strategies and business journeys on AWS.

Leveraging Neo4j and Amazon Bedrock

Neo4j is a graph data platform, and when used with Amazon Bedrock, it offers compelling value to enterprises. It simplifies the knowledge extraction process, which can be more complex and manual with traditional NLP libraries. Learn about the knowledge retrieval and extraction processes and review a couple of retrieval augmented generation (RAG) application architectures.

Introducing the Generative AI Center of Excellence

The Generative AI Center of Excellence (CoE) is open to all partners within the AWS Partner Network (APN). It provides optimized learning paths to implement generative AI solutions for customers. AWS believes partners are well-positioned to support customer needs, either through consultative support or specialty applications with integrated generative AI capabilities.

Generative AI Trends and Opportunities

AWS recently sat down with McKinsey & Company Senior Partner Naveen Sastry to discuss generative AI opportunities and best practices in implementation. Generative AI could enable $4 trillion of economic value, as noted in whitepapers. The Q&A delves into the direct implications and how companies can capture value.

Transitioning On-Premises Customers to SaaS

Moving customers from on-premises systems to SaaS solutions can be daunting. AWS and the AWS Partner Network (APN) have made strategic investments to empower software providers to create distinctive SaaS solutions. Explore how they cultivate a potent growth strategy through tailored GTM initiatives, and learn from the strategies employed by other companies to face these challenges and thrive in the SaaS landscape.

Creating the Right Patient Outcomes

Accurate sharing and analysis of patient information between different providers and systems is crucial for successful patient-centric care. AWS and Accenture collaborated to build a population-scale research cohort analytics solution called Accenture Health Analytics (AHA) which contains 54 million longitudinal patient records using a range of AWS services. It helps healthcare organizations improve patient outcomes and reduce delivery costs.

Unlocking Real-Time Data Streams

Integrating Amazon Managed Streaming for Apache Kafka (Amazon MSK) and CockroachDB helps manage an Apache Kafka deployment. This can enable real-time analytics, event-driven microservices, and archiving of data for audit logging. This post offers a step-by-step guide to integrate Amazon MSK within the CockroachDB platform.

Automating SaaS Security Risk Controls

A SaaS Security Platform (SSP) allows data to be centralized across multiple applications to gain end-to-end visibility into your exposure. DoControl enables customers to accelerate SaaS security risk controls with its SaaS Security Platform. Learn how it can provide visibility, monitoring, and automated remediation to risks that can often be overlooked.

KeyCore Consulting Services

KeyCore is the leading Danish AWS Consultancy, offering professional and managed services. KeyCore’s advanced team of AWS experts can help you build a secure and scalable enterprise landing zone, leverage Neo4j and Amazon Bedrock, introduce the Generative AI Center of Excellence, transition on-premises customers to SaaS, create the right patient outcomes, and unlock real-time data streams while automating SaaS security risk controls. Contact us today to learn more.

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Exploring Ansys Fluent, Palabos, and Level 3 Digital Twin Performance on AWS

Ansys Fluent Performance on AWS

Ansys Fluent, a powerful engineering simulation application, can be easily deployed to and run on AWS. This post will discuss how to optimize Fluent performance on AWS, and provide guidance for making the right hardware choices for running Fluent simulations in the cloud. As Ansys Gateway, powered by AWS, runs on different HPC instances, it allows users to analyze performance and price curves to identify the best instance type for their workloads.

Lattice Boltzmann Simulation with Palabos on AWS

Parallel Lattice Boltzmann Solver (Palabos), an open source library for computational fluid dynamics, can also be easily deployed and run on AWS. This post will discuss how to leverage the latest generation of AWS Graviton CPUs in Hpc7g instances for Palabos simulations. It will provide information about the performance that can be achieved when running Palabos on AWS Graviton instances.

Deploying Level 3 Digital Twins on AWS

AWS is developing new tools that enable faster and easier deployment of level 3/4 digital twins. This post will discuss how a fleet calibrated level 3 digital twin can be cost effectively deployed on AWS. With the help of AWS Fleet Training, digital twins can be trained in tandem with fleets of real devices, so they can accurately predict the performance of the devices they represent.

KeyCore & AWS: Achieving Optimal Performance

At KeyCore, the leading Danish AWS consultancy, we provide professional and managed services to help customers get the most out of their AWS deployments. We’re highly knowledgeable about AWS and its many features and services, and can help customers optimize their cloud workloads for maximum performance. If you’re looking for guidance on getting the best results from Ansys Fluent, Palabos, or level 3 digital twins on AWS, get in touch with our team today.

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AWS Cloud Operations & Migrations Blog

How to Unify Resource Configurations and Compliance using AWS Config

AWS Config Compliance and Inventory Dashboards provide organizations with a unified view of their resource configurations and compliance across AWS accounts, regions, and organizations. This blog post covers the available dashboards and widgets and how organizations can leverage them to gain a better understanding of their resources.

Understand Resource and Compliance States with AWS Config Inventory and Compliance Dashboards

AWS Config helps organizations understand the current configuration of their resources, such as Amazon EC2 instances, Amazon RDS databases, and Amazon S3 buckets. Additionally, AWS Config provides the means to automatically detect changes to the resources and to assess the compliance of resources with AWS and customer-defined policies. The AWS Config Compliance and Inventory Dashboards provide a unified view of the resource configuration and compliance states in an AWS account, across AWS regions, or for an entire AWS Organization.

Analyzing Amazon Lex Conversation Log Data with Amazon Managed Grafana

Conversational interfaces have become increasingly popular for business and internal processes as they provide more availability, improved service levels, and decreased costs. As such, it is important to monitor the performance and effectiveness of these interfaces with analytics and dashboards. Amazon Managed Grafana helps organizations quickly create stunning visualizations of their Amazon Lex conversation log data, allowing them to quickly identify trends in customer interactions, user errors, query responses, and other data.

Top Considerations for Flash Sale Events

Flash sale events are a popular marketing tactic for online stores to offer deep discounts, promotions, and product launches. Since the inventory is usually low and the promotions are only available for a short period of time, it is important to ensure that the event is well planned and executes smoothly. Organizations should consider the following when organizing a flash sale event: customer segmentation, promotion strategies, inventory planning, customer experience, and tracking and reporting.

Enhance Your re:Invent Experience with the AWS Management Console

At AWS re:Invent 2023, the AWS Customer Experience team will be providing tips and guidance on how to get the most out of the conference. They will have kiosks in the AWS Village and provide sessions on best practices for managing workloads in the cloud. Additionally, the team will be providing information on the new AWS Management Console and how it can help organizations streamline their cloud operations.

Best Practices for Building a Cloud Automation Practice from AWS Managed Services

Automation is essential for achieving better efficiency, reliability, and scalability in cloud operations. However, implementing automation requires more than simply adding software or tools. It requires a holistic approach to creating an automated cloud environment. AWS Managed Services provides best practices for building a cloud automation practice, such as developing an automation strategy, leveraging automation tools, and creating a culture of learning and collaboration.

Cloud Governance and Compliance for AWS re:Invent 2023

AWS re:Invent 2023 will feature 96 sessions on cloud governance and compliance. These sessions will cover topics such as access control, security, and policy management. Additionally, the sessions will provide best practices and tips on how to ensure organizations are compliant with industry regulations.

Creating a Correction of Errors Document

At Amazon, operational excellence is a core value. To support this, Amazon has developed a standard mechanism for post-incident analysis, called a Correction of Errors (COE) document. This document helps organizations identify issues and put in place measures to avoid reoccurrences in the future. This blog post will provide a step-by-step guide to creating a COE document.

Monitoring GPU Workloads on Amazon EKS with AWS Services

GPU-powered Amazon EC2 instances are becoming popular for machine learning (ML) workloads. To ensure the efficient use of resources, it is important to monitor GPU utilization. This blog post will provide an overview of how to monitor GPU workloads on Amazon EKS using AWS managed open-source services such as Amazon CloudWatch and Grafana. Additionally, it will discuss how organizations can use Amazon CloudWatch Container Insights for enhanced observability of their Kubernetes clusters.

Organizations can use the insights gained from AWS Config, Amazon Managed Grafana, and Amazon CloudWatch Container Insights to gain a better understanding of their resources and ensure their cloud operations are reliable and secure. KeyCore, the leading Danish AWS consultancy, can help your organization implement AWS Config, Amazon Managed Grafana, and Amazon CloudWatch Container Insights. By leveraging our professional and managed services, we can help your organization maximize the benefits of these services and ensure the success of your cloud operations.

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AWS for Industries

AWS for Industries

Industrial automation is a common application of AWS for many businesses. With solutions like programmable logic controllers (PLCs) to control physical equipment, companies can manage tasks such as painting cars or sorting items. AWS can also help with media publishing, such as personalized streaming and advertising, and can assist retailers with ecommerce and delivery operations. Healthcare and life sciences are also taking advantage of AWS, and many industries are unlocking the power of predictive maintenance with solutions like Amazon Monitron.

Industrial Automation Software Management on AWS

Industrial automation software management on AWS helps businesses achieve operational excellence. For example, PLCs can be used to control physical equipment, like robots or conveyors, and execute tasks such as painting a car or sorting an item. Best practices for this include performance optimization, cost control, and automation. AWS can also be used to monitor the system and detect anomalies.

Broadcasters Scale Personalized Advertising utilizing SAS 360 Match on AWS

In today’s streaming landscape, media publishers must compete for viewership. Providing a personalized viewing experience is essential. AWS can help with this by scaling advertising operations and reducing time to market with solutions like SAS 360 Match. This solution uses AI-powered match rates to personalize streaming experiences.

Retail Partner Conversations – FenixCommerce Improves Profitability Using AI

Competing in the ecommerce market means more than just selling products. Delivery has become a key factor in successful ecommerce. AWS can help retailers improve profitability by utilizing AI-powered tools like FenixCommerce. This solution helps to optimize pricing, automate shipping, and measure customer loyalty.

A Healthcare and Life Sciences Guide to AWS re:Invent 2023

At the intersection of health and technology, AWS re:Invent is the perfect opportunity to learn about cutting-edge solutions. AWS leaders will share their breakthroughs and use cases, powered by integrated data strategies, machine learning, and generative AI. Attendees can expect a comprehensive overview of the latest tools and best practices in healthcare and life sciences.

Jump-start Your Cloud Transformation with Experience-Based Acceleration on AWS

For large migration and modernization projects, AWS offers multiple mechanisms to accelerate outcomes. Airlines, in particular, have utilized experience-based acceleration to overcome common challenges, like lack of communication or employee adoption. This enables them to quickly and effectively transition to cloud solutions.

Remote Vehicle Diagnostics with AWS IoT FleetWise and Amazon Connect

Connected mobility has made it possible to diagnose vehicle malfunctions remotely. AWS IoT FleetWise and Amazon Connect can be used to detect and diagnose problems quickly and efficiently, without needing to bring the vehicle into the service center.

Unlocking Predictive Maintenance with Amazon Monitron

Predictive maintenance uses technology and data to anticipate and prevent equipment failures. Amazon Monitron provides a powerful solution for this, utilizing machine learning and AI-powered analytics to identify potential issues before they occur. This can save businesses time and money, and reduce downtime.

How KeyCore Can Help

KeyCore is the leading Danish AWS Consultancy, providing professional and managed services to our customers. We are highly experienced in the AWS platform, and can help with any of the topics discussed above. Our team of experts can assist with everything from setup to maintenance, allowing you to reap the benefits of cloud technology with minimal effort. Contact us today to learn more about our services.

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AWS Messaging & Targeting Blog

New Sender Requirements at Yahoo/Gmail: How KeyCore Can Help

In a move to protect user inboxes, Gmail and Yahoo Mail announced a new set of requirements for email senders effective February 2024. In this blog post, we will go over these changes and explain how KeyCore can help customers with Amazon Simple Email Service (Amazon SES) comply with this new policy.

What Are the New Email Sender Requirements?

The new requirements are built around long-standing best practices for email senders. Specifically, Gmail and Yahoo Mail now require senders to:

  • Provide accurate sender information, including both the physical address and domain name
  • Allow users to unsubscribe from receiving emails with a single click
  • Ensure all emails are sent using authenticated and encrypted connections
  • Include a valid physical address in emails

These requirements are in line with Microsoft’s announcements in 2018 and other email providers. As such, all senders should be familiar with these requirements.

How KeyCore Can Help With These New Requirements

KeyCore provides professional services and managed services that can help customers comply with these requirements. We offer comprehensive audit and evaluation services that will help customers understand their individual needs. Additionally, we can provide assistance in migrating to Amazon SES, as well as providing ongoing monitoring services to ensure compliance. Our team of experts can also help with developing custom solutions to meet each customer’s needs.

In addition to our professional services, KeyCore also provides managed services that can help customers achieve and maintain compliance with the new requirements. Our managed services include end-to-end solutions such as setup and configuration, data migration, and ongoing monitoring and maintenance. Our managed services also provide customers with access to our team of experts for support and advice.


With the new sender requirements from Gmail and Yahoo Mail, customers need to ensure they are compliant. KeyCore is well-equipped to help customers with this task, offering both professional services and managed services. Our team of experts will help customers with setup and configuration, data migration, and ongoing monitoring and maintenance. For more information on KeyCore and our services, please visit our website.

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AWS Robotics Blog

ANYbotics Uses AWS to Deploy a Global Robot Workforce for Industrial Inspections

ANYbotics is revolutionizing the operation of large industrial facilities by providing intelligent inspection solutions that improve safety, efficiency, and sustainability. By connecting physical and digital assets, the company is leveraging cutting-edge robotics technology to create an automated and cost-effective way of performing industrial inspections.

Robotics-as-a-Service (RaaS)

ANYbotics is leveraging AWS to launch Robotics-as-a-Service (RaaS), a cloud-based offering that enables customers to deploy robots without having to purchase expensive hardware or invest in infrastructure. Using AWS, ANYbotics is able to offer a global robot workforce that can be securely accessed via the cloud.

Robot Autonomy

ANYbotics is also leveraging AWS to enable robot autonomy. AWS provides the necessary cloud infrastructure for ANYbotics to develop, test, and scale autonomous robots. With AWS, the robots can be trained in the cloud using machine learning algorithms and can be easily retrieved for use in the field.

Security and Reliability

AWS provides the security and reliability necessary for ANYbotics to deploy a global robot workforce. With AWS, the robots can access the cloud securely and reliably, enabling them to send data back to the cloud for further analysis. Additionally, the cloud infrastructure allows ANYbotics to rapidly scale their robot fleet to meet customer demand.

KeyCore Can Help

At KeyCore, we are experts in AWS and can help your business harness the power of the cloud to deploy autonomous robots. We offer both professional services and managed services, providing the expertise and support necessary to enable you to leverage the full potential of AWS. Contact us today to learn more about how we can help.

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AWS Marketplace

Simplifying Buyer Procurement Workflow Integration with AWS Marketplace

Increasingly, organizations are turning to AWS Marketplace to purchase solutions for their software and cloud-based services. This makes it critical to be able to integrate the necessary procurement workflows into this process. By utilizing selected AWS features, organizations can easily and effectively govern how buyers use their procurement workflow for their AWS Marketplace subscriptions.

Leveraging the AWS Marketplace Catalog

AWS Marketplace offers a comprehensive catalog of products, which can be further customized to match the requirements of buyers. This allows organizations to create a subscription catalog that contains the products and services that they want to offer in AWS Marketplace.

Integrating into Buyer Procurement Workflow

Organizations can integrate their procurement workflow into AWS Marketplace subscriptions. This allows buyers to purchase products and services from the AWS Marketplace catalog in a secure and compliant manner. Organizations can also configure their procurement workflow to automatically approve or deny purchase requests.

Managing Subscriptions

Organizations can also manage their AWS Marketplace subscriptions. This includes the ability to manage billing, access, and usage for each subscription. Organizations can also configure notifications to be sent to buyers when their subscription is due to expire.

KeyCore Can Help

At KeyCore, we understand the complexities of integrating AWS Marketplace into your organization’s procurement workflow. Our team of AWS experts can provide the guidance required to ensure that your organization is able to effectively use AWS Marketplace to purchase software and cloud-based services in a secure and compliant manner. Contact us today to learn more.

Streamlining Third-party Add-on Management in Amazon EKS Cluster Using Terraform and Amazon EKS Add-on Catalog

Managing the lifecycle of add-ons in an EKS cluster can be a challenge, but using Terraform, a popular infrastructure as code (IaC) tool, can simplify the process. In this blog post, we explore how to use Terraform to find, install, and delete Amazon EKS third-party add-ons.

Finding EKS Add-ons

The Amazon EKS add-on catalog provides a comprehensive list of third-party add-ons that are compatible with Amazon EKS. This list is continually updated with new add-ons, and organizations can use Terraform to search the catalog for the add-ons that they need.

Installing EKS Add-ons

Once the add-ons have been identified, organizations can use Terraform to install them in their EKS cluster. This can be done with a single command, and Terraform can ensure that the add-on is installed correctly and configured properly.

Deleting EKS Add-ons

Organizations can also use Terraform to delete add-ons from their EKS cluster. This can be done with a single command, and Terraform can ensure that the add-on is uninstalled correctly and all associated resources are deleted.

KeyCore Can Help

At KeyCore, we understand the complexities of managing EKS add-ons. Our team of AWS experts can provide the guidance required to ensure that your organization is able to effectively manage and delete add-ons from their EKS cluster. Contact us today to learn more.

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The latest AWS security, identity, and compliance launches, announcements, and how-to posts.

The latest AWS security, identity, and compliance launches, announcements, and how-to posts

Set up AWS Private Certificate Authority to issue certificates for use with IAM Roles Anywhere

Applications or systems functioning without direct user interaction have faced challenges associated with long-lived credentials such as access keys. To mitigate these risks and follow best practice, AWS Private Certificate Authority (AWS PCA) can be used to issue certificates which can be used with IAM Roles Anywhere. These certificates are short-lived and provide authentication and authorization without the need to store long-term credentials. KeyCore can help customers set up AWS PCA and develop best practices for managing short-lived certificates.

AWS KMS is now FIPS 140-2 Security Level 3

AWS Key Management Service (AWS KMS) recently announced that its hardware security modules (HSMs) have been given Federal Information Processing Standards (FIPS) 140-2 Security Level 3 certification from the U.S. National Institute of Standards and Technology (NIST). This certification offers several benefits such as simpler set up and operation for organizations which rely on AWS cryptographic services. KeyCore can help customers implement the necessary integration and provide advice on improving their security processes.

AWS Wickr achieves FedRAMP Moderate authorization

Amazon Web Services (AWS) has recently announced that AWS Wickr has achieved Federal Risk and Authorization Management Program (FedRAMP) authorization at the Moderate impact level from the FedRAMP Joint Authorization Board (JAB). FedRAMP is a U.S. government–wide program that promotes secure cloud adoption. KeyCore can help customers assess if their workloads meet the necessary criteria to obtain FedRAMP authorization and guide them through the process.

How to improve your security incident response processes with Jupyter notebooks

Customers can face difficulty when trying to quickly and effectively respond to a security event. Jupyter notebooks provide a great tool for standardizing security event response. It can help avoid silos in security analyst operations and provide a platform for quicker response times. KeyCore can assist customers in the implementation of Jupyter notebooks for their security incident response processes, as well as advise on additional improvements to security processes.

Build an entitlement service for business applications using Amazon Verified Permissions

Amazon Verified Permissions is designed to simplify the process of managing permissions within an application. This blog post helps customers understand how the service can be applied to various business use cases. KeyCore can help customers understand and assess their business use cases and guide them through the process of implementing Amazon Verified Permissions to create an entitlement service.

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Business Productivity

Achieve Security and Enhanced Productivity With AWS AppFabric and Amazon Security Lake

Monitoring audit log data from software-as-a-service (SaaS) applications is essential to help security analysts and IT administrators quickly identify and respond to potential corporate security threats. Studies have indicated that organizations typically license over 100 SaaS applications, but the data formats of each SaaS application are different and can make it tricky to achieve the desired security insights.

Ease Tech Overload With AWS AppFabric

Companies are licensing and managing many software-as-a-service (SaaS) applications, with some deploying more than 100 applications yearly for communications, finance, content management, and customer relations. Organizations have high hopes that these specific applications will make their employees more productive, but the applications are often not compatible with each other, which creates problems with both security and productivity.

AWS has noticed this issue and offers AWS AppFabric as a solution. This technology provides a uniform layer to help companies connect SaaS applications, creating a secure, comprehensive, and integrated experience for employees. In addition, AppFabric allows IT administrators to quickly deploy and maintain applications without needing extensive coding knowledge.

Innovating SaaS Applications with AI for Improved Productivity

Organizations are customizing and improving their application stack to maximize their employee’s best work, but this can be challenging. Applications often do not connect and operate in their own data silos, making it difficult for employees to manage, access, share, and create the data they need.

AI can help with this problem. By providing a unified layer, AI technology can increase the efficiency of SaaS applications, allowing employees to more quickly access and share the data they need. AI can also be used to analyze data and identify areas where improvements can be made to increase productivity.

Simplify Observability of SaaS App Data With AWS AppFabric

As businesses increasingly transition to digital operations, the demand for software-as-a-service (SaaS) applications that help with employee communication and collaboration is increasing. Studies have found that large organizations are licensing, on average, more than 100 applications.

To ensure security and productivity, security and IT professionals need to be able to observe all of the data from all of the applications. AWS AppFabric can help with this process, providing a single platform to help monitor data from all of the different applications. It also allows IT administrators to deploy and maintain applications without the need for extensive coding knowledge.

How KeyCore Can Help

At KeyCore, we have the expertise and experience to help organizations leverage the power of AWS technologies like AWS AppFabric to increase employee productivity and security. Our team of AWS Certified Solutions Architects and Cloud Practitioners can provide the necessary guidance and support to help organizations get the most out of SaaS applications.

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Innovating in the Public Sector

Innovating in the Public Sector

Improving Public Health Through Data Exchange

Health agencies have started using Amazon Web Services (AWS) to help address their data challenges during the COVID-19 pandemic. Four states have used innovative Health Information Exchanges (HIEs) to improve public health. HIEs are a secure system used to share data between healthcare providers, helping ensure patient health records are up-to-date and accurate. AWS enables HIEs to store and process large amounts of data quickly, helping them provide better services to public health agencies.

USAID Uses Amazon Transcribe to Publish Speeches in Minutes

USAID moved to the cloud to streamline their transcription process for leader’s public remarks. The organization collaborated with AWS Partner CloudShape to create a solution with Amazon Transcribe. This AI-powered service from AWS helps the agency transcribe and publish remarks in minutes, saving time and money.

Using the Cloud to Advance Collaborative Water Stewardship

Data is key to addressing current water challenges, and the cloud can play a key role in supporting organizations that are working on solutions. Canadian non-profit organization DataStream has created an online platform with AWS that allows organizations to share information about freshwater health. This platform gives organizations the resources and access to data to support water stewardship initiatives.

Supporting Security Assessors in the Canadian Public Sector with AWS and Deloitte

Government of Canada (GC) customers can use AWS to move workloads into production in the AWS Canadian Regions. This requires their workloads to go through the Security Assessment & Authorization (SA&A) process. With the help of AWS and Deloitte, GC customers can more efficiently develop applications to support digital modernization efforts.

Build Population Health Systems to Enhance Healthcare Customer Experiences on AWS

Organizations in the healthcare, life sciences, population health, and public health sectors can use AWS to modernize their data infrastructure, unify their data, and innovate faster with technologies like AI/ML. AWS provides guidance on how healthcare providers can improve patient care by creating population health systems. KeyCore can help healthcare providers access the data and architecture guidance that enables them to improve patient care.

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The Internet of Things on AWS – Official Blog

AWS IoT SiteWise Adds Support for 10 New Industrial Protocols

Today AWS announced the general availability of extended industrial protocol support for AWS IoT SiteWise, a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale. AWS IoT SiteWise Edge, a feature of AWS IoT SiteWise, extends the cloud to the edge, enabling data collection and analysis at the industrial source.

Simplifying Protocol Integration

When connecting to industrial assets, the choice of protocol is critical for interoperability and scalability. With the launch of AWS IoT SiteWise support for 10 additional protocols, including EtherNet/IP, Modbus, Profibus, PROFINET, Omron FINS, Siemens S7, and DNP3, AWS makes it easier for customers to integrate with existing industrial systems and unlock insights from their production, manufacturing and assembly processes. AWS IoT SiteWise now supports a broad set of industrial protocols, simplifying the process of connecting to and managing industrial assets.

Domatica Integration

AWS also announced an integration with Domatica EasyEdge, a smart gateway product that enables customers to easily connect their existing industrial assets and securely send data to the cloud. Domatica EasyEdge supports a wide range of protocols that give customers the flexibility to easily connect to their industrial assets using their existing infrastructure.

Combining Industrial Data with Business Processes

AWS IoT SiteWise and Domatica EasyEdge help customers efficiently connect industrial assets to their industrial processes and systems. This integration enables customers to easily collect and process data from industrial assets, providing access to the data in real time. With the ability to quickly access, analyze, and visualize data from industrial systems, customers are better able to make more informed and timely decisions.

KeyCore as Your AWS IoT Partner

At KeyCore, we provide professional services and managed services to help you with your AWS IoT projects. We understand the complexities of industrial IoT and can help you create an effective strategy for collecting, analyzing, and leveraging your industrial data. Our experienced team of AWS experts will work with you to design, deploy, and maintain your AWS IoT solutions. Contact us today to learn more about what KeyCore can do for you.

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AWS Open Source Blog

Onehouse Makes it Easy to Leverage Open Source Data Services on AWS

AWS Partner,, recently launched its managed lakehouse product for open source Apache Hudi on the AWS Marketplace. This offering is designed to help organizations leverage the power of open source data services to unlock the value contained within their data.

Onehouse offers a fully managed lakehouse platform running on AWS that enables organizations to take advantage of the scalability, reliability, and security of Amazon Web Services (AWS). With this offering, customers can store and process large amounts of data in a secure and cost-effective way. The platform also supports analytics pipelines that allow customers to quickly deploy, manage, and monitor their data.

The managed lakehouse product from Onehouse makes it easier for customers to take advantage of open source data services running on AWS. Organizations can now quickly and securely ingest, store, and process large volumes of data. They can also take advantage of the flexible analytics pipelines, allowing them to quickly build and deploy complex data processing pipelines. Additionally, the platform includes security features that ensure that customer data is always secured and protected.

The launch of the managed lakehouse product from Onehouse is an important step forward for AWS customers looking to leverage the power of open source data services. With this offering, organizations can now quickly and securely take advantage of the scalability, reliability, and security of Amazon Web Services.

Open Source Projects are Using Kani to Write Better Software in Rust

AWS open source project Kani is succeeding in changing the perception, effectiveness, and usability of verification tools that were previously thought to be cumbersome or beyond reach. Kani is an open source type-based verification tool that helps developers write better software in Rust. Rust is a language designed to be memory-safe, secure, and fast. It is growing in popularity for software development projects because of its focus on enabling developers to write correct and secure code.

Kani is an open source verification tool that makes it easier for developers to write better code by using Rust functions. The tool is designed to be used with Rust projects, and it is designed to help developers identify potential errors within their code. Kani is specifically designed to help developers write code that is both safer and more reliable. It does this by providing a type-based environment that allows developers to quickly find and fix any potential issues in their code.

Kani also provides developers with insight into how their code will interact with other parts of the system. This helps them to better understand the implications of the code they are writing, allowing them to write safer and more reliable code. Kani also provides developers with insight into the performance of their code, allowing them to optimize for performance.

The open source verification tool Kani from AWS is a powerful tool that helps developers write better software in Rust. It provides developers with the insight they need to write better code, and it provides them with the tools they need to ensure their code is both safe and reliable. This tool is an important step forward in helping developers succeed in Rust development projects.

At KeyCore, we’re excited to witness the development of Kani and the possibilities it offers to Rust developers. We provide professional services and managed services that take advantage of Kani and other open source verification tools as well as AWS services. Our team of experienced AWS consultants can help you take advantage of Kani and other open source verification tools to write better software in Rust. Contact us today to find out more about how we can help you with your Rust development project.

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