Summary of AWS blogs for the week of monday Mon Oct 23

In the week of Mon Oct 23 2023 AWS published 101 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

AWS End User Computing & Persistent Storage for Amazon AppStream 2.0 Linux Fleets on Amazon Elastic File System

AWS re:Invent 2023 is the cloud computing event of the year. Whether attending in-person or online, this blog will guide readers through all the End User Computing (EUC) activities offered. Amazon AppStream 2.0 and Amazon Elastic File System (EFS) can be combined to create a persistent storage location for educational and research institutions. This integration simplifies data storage and ensures researchers and students have access regardless of their location.

Maximizing AWS End User Computing

AWS re:Invent 2023 offers a variety of EUC activities, including workshops, sessions, and the “Builders Fair”. The Builders Fair is a great opportunity to get hands-on experience with the latest AWS technologies. Attendees can also participate in sessions and workshops ranging from the fundamentals of EUC to the latest advancements. AWS will also host demos, hands-on labs, and a variety of networking opportunities.

Amazon AppStream 2.0 & Amazon Elastic File System

Amazon AppStream 2.0 is a fully managed, secure application streaming service that allows organizations to stream desktop applications from AWS to users’ devices. Amazon EFS is a fully managed cloud file storage service, designed to store and share files across multiple Amazon EC2 instances. The combination of these services allows educational and research institutions to create persistent storage locations for storing data and educational materials. It also ensures students and researchers have access to the data regardless of their location.

KeyCore’s Expertise

KeyCore is the leading Danish AWS consultancy, providing professional and managed services. KeyCore can provide the advanced AWS expertise to help educational and research institutions maximize the potential of Amazon AppStream 2.0 and Amazon Elastic File System. With KeyCore’s help, these institutions can optimize their storage and application access in the cloud. KeyCore’s experienced staff have the knowledge and resources to help customers fully leverage the power of AWS End User Computing.

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AWS DevOps Blog

Using Amazon CodeWhisperer with Okta as a Secure Identity Provider

Amazon CodeWhisperer is a powerful AI coding companion that helps developers build software quickly, responsibly, and securely. For enterprise customers, CodeWhisperer offers a Professional tier that adds administrative features, like SSO and IAM Identity Center for secure authentication. Customers using Amazon CodeWhisperer often want to enable their developers to sign in using existing identity providers (IdP), such as Okta.

Amazon CodeWhisperer provides support for authentication either through AWS Builder Id, designed for individual developers, or AWS IAM Identity Center, which provides identity and access management services. To set up Okta as an external IdP in CodeWhisperer, first you need to create an application in Okta. This application will list the authorization endpoints and scopes required for authentication and authorization. Once the application is created in Okta, you can configure it in CodeWhisperer as an external IdP.

Introducing CodeWhisperer Dashboard and CloudWatch Metrics

To help customers monitor their usage of Amazon CodeWhisperer, the CodeWhisperer team has introduced a dashboard, where customers can access data from their Amazon CloudWatch metrics. The dashboard provides a detailed view of how developers are using CodeWhisperer and how it is performing. Customers can also view usage metrics, such as how many snippets were generated per day, and performance metrics, such as the latency for each request.

The CodeWhisperer dashboard also provides a way for customers to troubleshoot issues quickly. For example, customers can access CloudWatch logs to see what went wrong in a particular request and take corrective action. The dashboard also allows customers to set alarms for key performance metrics, such as latency, to ensure that the system is performing as expected.

Why AWS is the Best Place to Run Rust

The Rust programming language was created by Mozilla Research in 2010 to be “a programming language empowering everyone to build reliable and efficient software”[1]. AWS provides a flexible, secure, and cost-effective platform for running Rust applications. With AWS, developers can quickly spin up and scale Rust environments, as well as take advantage of performance enhancing features such as the AWS Lambda service and Amazon EC2 instance store.

AWS also provides a comprehensive set of DevOps tools that can be used to manage Rust applications. AWS CodePipeline, for example, automates the process of deploying Rust applications to the cloud, while AWS CodeBuild simplifies code builds and deployments. For organizations looking to move their existing Rust applications to the cloud, AWS Migration Hub offers a central repository for tracking and managing the migration process.

Organizations looking to maximize the performance of their Rust applications can take advantage of AWS performance enhancing features, such as Amazon ECS for container-based deployment and AWS Fargate for serverless computing. Additionally, Amazon CloudFront can be used to reduce network latency, and Amazon Elasticsearch Service can be used to analyze application logs.

At KeyCore, our team of AWS experts can help you get the most out of your Rust applications. Our cloud engineers have extensive experience in developing, deploying, and running Rust applications and services on AWS. We can help you migrate existing Rust applications to AWS, optimize performance, and provide ongoing monitoring and DevOps support. Contact us today to learn more about how we can help you get the most out of your Rust applications.

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Official Machine Learning Blog of Amazon Web Services

Amazon Web Services is Unlocking New Possibilities Through Generative AI

Elevate Your Marketing Solutions with Amazon Personalize and Generative AI

Generative AI is transforming the way enterprises do business. AI is being used to improve data-driven decisions, enhance omnichannel experiences, and drive product development. Amazon Personalize is allowing enterprises to leverage generative AI for their marketing efforts. Using this tool, organizations can use AI-driven emails, push notifications, and other outbound messages. Gartner predicts that by 2025, 30% of outbound marketing messages will be powered by artificial intelligence, showing how pervasive the use of AI is becoming for digital marketing.

Intelligently Search Drupal Content with Amazon Kendra

Amazon Kendra is an intelligent search service powered by machine learning, which helps organizations easily aggregate content from multiple sources into a centralized index for faster search. Using Amazon Kendra, businesses are able to search their enterprise data for more accurate answers. Drupal is a content management software that is used to build websites and other digital experiences. With Amazon Kendra and Drupal, organizations can quickly and easily search their content and surface the most relevant information in no time.

Intuitivo Improves Throughput and Saves on AI/ML Costs with AWS Inferentia and PyTorch

Intuitivo is a retail innovation firm that is using cloud-based AI and machine learning to revolutionize transactions. Their technology enables them to operate millions of autonomous points of purchase, but they faced the challenge of scaling their AI/ML models with increasing data volumes. To solve this, they implemented AWS Inferentia and PyTorch, two Amazon Web Services tools. With these, they were able to improve their throughput and reduce AI/ML costs.

Empower Your Business Users with Amazon SageMaker Canvas Generative AI

Amazon SageMaker Canvas was created to enable business analysts to easily and quickly build, deploy, and manage ML models without the need for coding or technical skills. With the introduction of Amazon SageMaker Canvas Generative AI, enterprises can now extract insights from company documents. This is done by creating a semantic search space and using AI-based generative algorithms to uncover patterns and trends in documents. Amazon SageMaker Canvas Generative AI helps enterprises unlock the potential of machine learning to solve complex problems and improve outcomes.

Detect Methane Emissions with Amazon SageMaker Geospatial Capabilities

Amazon SageMaker Geospatial capabilities are being used by organizations to detect and monitor methane emissions from point sources. Methane has a global warming potential that is 86 times that of CO2, and the Intergovernmental Panel on Climate Change estimates that it is responsible for 30% of observed global warming. With Amazon SageMaker, organizations can detect methane emissions more quickly and accurately than ever before.

Intelligent Document Processing with Amazon Textract, Amazon Bedrock, and LangChain

Intelligent Document Processing (IDP) is helping businesses process documents quickly and accurately. Amazon Textract, Amazon Bedrock, and LangChain are three tools that are being used to achieve this. Amazon Textract is used to extract text and data from documents. Amazon Bedrock can then be used to automatically organize and classify the data that has been extracted. Finally, LangChain is used to extract insights from text with natural language processing.

T-Mobile US, Inc. Uses AI for Voicemail in the Language of Their Customers’ Choice

T-Mobile US, Inc. provides Voicemail to Text service to its customers, powered by artificial intelligence. With Amazon Transcribe and Amazon Translate, T-Mobile is able to deliver voicemail in the language of the customer’s choice. This helps to improve the customer experience, as they are able to quickly understand their voicemail without the need for translation.

Building an NLP-Based Job Recommender at Talent.com with Amazon SageMaker

Talent.com is a world leader in job listings. They are using Amazon SageMaker to build an NLP-based job recommender that can search through over 30 million jobs. With the help of Amazon SageMaker, they are able to use natural language processing to find the most relevant jobs based on an individual’s experience and qualifications. This helps job seekers find their dream job more quickly and easily.

KeyCore Can Help You Leverage AI for Your Business

At KeyCore, we understand the potential of AI and machine learning to transform businesses. Our professional and managed services can help you develop an AI solution for your unique needs. We can provide training, consulting, and implementation for a variety of AI-based solutions. Contact us today to learn more about how KeyCore can help you unlock the potential of AI for your business.

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Announcements, Updates, and Launches

Announcements, Updates, and Launches from AWS

AWS European Sovereign Cloud

AWS recently announced the European Sovereign Cloud, allowing government agencies, regulated industries, and their supporting independent software vendors (ISVs) to securely store sensitive data and run important workloads on AWS infrastructure hosted and supported by AWS staff based in and from the European Union (EU). The first region will be based in […].

AWS Weekly Roundup – October 24, 2023

While the AWS News Blog team was busy preparing content for AWS re:Invent in Las Vegas, the services team continued to innovate. Last week’s launches included CodeWhisperer, CodeCatalyst, new updates to Amazon RDS, Amazon Route53, and more.

CodeWhisperer is an Amazon Machine Learning service that allows customers to easily build, train, and deploy models. It has pre-built models for common use cases such as natural language processing, image recognition, and time-series analysis. CodeCatalyst is a code optimization platform that leverages Amazon SageMaker to help customers quickly optimize their code.

Amazon RDS now supports the ability to connect to other databases, as well as the ability to set up multiple databases in a single instance. Route53 is now available for use in all AWS regions. Finally, Amazon S3 Block Public Access allows customers to control access to their data stored in S3 buckets.

At KeyCore, we provide professional and managed services for AWS. We specialize in helping customers take full advantage of the innovations from AWS. Our team of specialists have the experience and expertise to help customers successfully implement and manage their AWS solutions. Whether customers need help getting started or need assistance with their existing infrastructure, we have the resources to help. Contact us today to find out how we can help power your cloud journey.

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Containers

Container Security with Amazon EKS and AWS Fargate

Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate provides serverless compute for containerized workloads that run on Kubernetes. With AWS Fargate, customers can avoid the operational overhead of scaling, patching, and securing instances, while benefitting from a secure and a controlled environment for container execution.

Time Sensitive Workloads on ECS Fargate

In the two previous parts of this series, we discussed the importance of measuring and tracking time accuracy, as well as relevant concepts and methods to put them into practice. We covered specifics on how to track metrics using Amazon CloudWatch and implement a practical solution for Amazon Elastic Compute Cloud (Amazon EC2) instances. In this part 3, we will explore the implications of using Amazon Elastic Container Service (Amazon ECS) with AWS Fargate.

Lessons Learned on Running Batch Workloads on Amazon EKS

Lacework is a security platform that automatically monitors and detects misconfigurations and security vulnerabilities across cloud environments. To this end, Lacework consumes trillions of events from a huge list of sources including eBPF, Kubernetes Audit Logs, cloud services logs, and more. In this post, we share the lessons Lacework learned when running batch workloads on Amazon EKS.

Remote Cache Support in Amazon ECR for BuildKit Clients

Amazon Elastic Container Registry (Amazon ECR) is a fully managed container registry that customers use to store, share, and manage container images. To simplify the management of large container images, Amazon ECR now supports remote cache support in Amazon ECR for BuildKit clients. This feature pre-installs and supports with Docker version 25.0 and is also available on Finch versions 0.8 or later.

Migrating MyOrbit Applications to Amazon EKS

Telkomsel is a leading digital telecommunication company in Indonesia with 151 million subscribers and 121 million mobile data users. Telkomsel runs their services on MyOrbit, an application platform. In this post, we share how Telkomsel migrated MyOrbit applications to Amazon EKS.

Scaling to 15,000+ Tasks in a Single ECS Cluster

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that simplifies the deployment, management, and scaling of containerized applications. With deep AWS integrations and built-in best practices, customers can run and scale their applications in the cloud or on-premises, without the complexity of managing a control plane. In this post, we demonstrate how to scale an Amazon ECS cluster to 15,000+ tasks.

At KeyCore, we specialize in providing professional services and managed services to businesses using AWS. We are experts in container orchestration services like Amazon EKS and AWS Fargate and have experience helping customers implement and maintain secure containerized workloads. With our deep expertise and years of experience in AWS, we can help you ensure your containerized workloads are secure and running optimally. Contact us today to learn more.

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AWS Smart Business Blog

The Benefits of a Solid Foundation in the Cloud for Small and Medium Business Growth

Just like a tall and shining skyscraper, businesses of all sizes need to build their foundation in the cloud in order to grow. Without a strong base, the business is at risk of shifting, movement, or even collapsing. That’s why it’s important to understand the benefits of the cloud for growth and the common misconceptions about cloud security that are holding businesses back.

Building a Strong Foundation in the Cloud

Moving to the cloud helps businesses of all sizes to access better insights, scale more easily, collaborate efficiently from anywhere, and save on IT costs. With cloud services such as Amazon Web Services (AWS), businesses can quickly build a secure foundation with a cloud infrastructure that aligns with their IT requirements. AWS provides an extensive range of services, such as Elastic Compute Cloud (EC2), Simple Storage Service (S3), and Relational Database Service (RDS), to build an infrastructure that is easy to manage and maintain.

Furthermore, it allows businesses to be agile and take advantage of the benefits of DevOps, such as continuous delivery, automated testing, and continuous integration. Additionally, it allows businesses to access the latest technologies, such as serverless, to reduce operational costs and accelerate innovation.

Common Misconceptions About Cloud Security

Although cloud computing can be very beneficial for small and medium businesses, some organizations are still hesitant to make the move due to common misconceptions about cloud security. According to a survey conducted by AWS, many SMBs still think that the cloud is not secure, or that it is too complex or expensive to deploy.

However, the cloud is one of the most secure computing environments available, and organizations that choose an experienced and reliable provider such as AWS are able to benefit from a suite of security services. AWS provides a range of tools and services to help protect the data and applications, including identity and access management, encryption, and monitoring and logging services. With an experienced provider like AWS, businesses have the support and resources necessary to build a secure cloud infrastructure.

KeyCore: Your Go-To AWS Partner

At KeyCore, we are an experienced AWS partner and provide professional and managed services to help businesses of all sizes build a secure and reliable cloud foundation. Our team of experts offer comprehensive support to help you navigate the complexities of cloud migration and ensure that your cloud infrastructure is secure and optimized for your specific business requirements. Contact us today to learn more about how we can help you build a strong foundation in the cloud and help your business grow.

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Official Database Blog of Amazon Web Services

Optimizing an Amazon RDS Database for Oracle

Amazon Relational Database Service (Amazon RDS) uses Amazon Elastic Block Store (Amazon EBS) as its underlying storage and stores its snapshots (automated and manual) in Amazon Simple Storage Service (Amazon S3). When restoring RDS instances from snapshots, they become available as soon as the necessary infrastructure is provisioned. To reduce the impact of lazy loading, an Amazon RDS for Oracle database can be prewarmed.

Implementing Time to Live in Amazon Neptune

Time to Live (TTL) is a mechanism that enables control over the lifespan of data, files, infrastructure, or entire environments. When used with data, it can represent how long a leaderboard is kept in memory before being reloaded from storage, or how long a file must be kept for regulatory or compliance purposes. In Part 1 of this series, we discuss how to use Property Graph to implement TTL in Amazon Neptune.

Refactoring Admin Task Scheduler Schedules from IBM Db2 LUW to Amazon RDS

The administrative task scheduler (ATS) in Db2 LUW is a component that facilitates the automation and scheduling of administrative tasks within the database. It provides a convenient way to schedule recurring tasks, such as backups, maintenance activities, data imports/exports, and other administrative operations. DB2 LUW ATS has several features and capabilities, including creating job schedules, enabling job classes, and more. This post explains the process of refactoring existing ATS job schedules from IBM Db2 LUW to Amazon RDS for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL.

Fully Managed Blue/Green Deployment in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

AWS Regions and AWS GovCloud (US) Regions now offer general availability for Amazon RDS blue/green deployments, which are available for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL versions 11.21 and higher, 12.16 and higher, 13.12 and higher, 14.9 and higher, and 15.4 and higher. This post explains how to create a blue/green deployment and perform major version upgrades with minimal downtime, and provides best practices for using this service.

Reducing Downtime with Amazon Aurora MySQL Database Restart Time Optimizations

When operating relational databases in the AWS cloud, Amazon Aurora MySQL-Compatible Edition provides high availability during planned and unplanned outages. To ensure optimal performance and security, DBAs should perform regular database maintenance, including patching, upgrading, and parameter modifications. This post explains how to optimize database restart time with Amazon Aurora MySQL, reducing downtime and improving the accuracy of maintenance operations.

Upgrading Your Amazon DocumentDB Clusters Using AWS DMS

To maintain optimal performance and security, periodic upgrades are necessary for databases that power modern enterprises. AWS Database Migration Service (AWS DMS) provides the capability to upgrade Amazon DocumentDB clusters. This post explains how to use AWS DMS to upgrade clusters with minimal disruption and maximum efficiency.

Building a Sensor Network Using AWS IoT Core and Amazon DocumentDB

This post explains how to build an IoT sensor network solution to process IoT sensor data using AWS IoT Core and store it with Amazon DocumentDB (with MongoDB compatibility). It covers setting up the devices to generate and transmit JSON data, configuring the AWS IoT Core service, setting up the Amazon DocumentDB cluster, ingesting and processing data, and more.

Configuring an AWS DMS Endpoint to Access Cross-Account Secrets from AWS Secrets Manager

AWS Database Migration Service (AWS DMS) provides integration with AWS Secrets Manager, which allows customers to store, rotate, and retrieve credentials used in the AWS DMS endpoints. This post explains how to configure an AWS DMS endpoint to access cross-account secrets from AWS Secrets Manager for enhanced security control.

Migrating an IBM Db2 for iSeries Database to Amazon Aurora PostgreSQL Using Blu Age and Qlik Replicate

This post explains how to use automated refactoring with the Blue Age tooling to unlock mainframe data from on-premises databases like IBM Db2 for iSeries and migrate it to the cloud. It covers the technical steps and constraints associated with migrating to Amazon Aurora PostgreSQL using Blu Age and Qlik Replicate.

KeyCore is a leading Danish AWS consultancy that provides professional and managed services related to the topics discussed in this post. Our experienced team can help you optimize your Amazon RDS database, implement TTL in Amazon Neptune, refactor ATS job schedules from IBM Db2 LUW, create a blue/green deployment in Amazon Aurora or RDS for PostgreSQL, reduce downtime with Amazon Aurora MySQL, upgrade Amazon DocumentDB clusters, build an IoT sensor network, configure an AWS DMS endpoint to access cross-account secrets from AWS Secrets Manager, and migrate an IBM Db2 for iSeries database to Amazon Aurora PostgreSQL. Our team of AWS experts is ready to help you take your cloud journey to the next level.

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AWS Cloud Financial Management

A Guide to AWS re:Invent 2023 Cloud Financial Management Programs

Overview of What to Expect

AWS re:Invent 2023 is a great opportunity to learn more about cloud financial management (CFM) and meet with like-minded professionals. In this blog post, we will provide a sneak peek into these programs and provide guidance for navigating re:Invent like a CFM pro.

Knowledge Sessions on Cloud Financial Management

At AWS re:Invent, there are knowledge sessions to learn more about cloud financial management, such as best practices, cost optimization, and more. Attendees can also get their questions answered by experienced AWS professionals in the form of chats and Q&A sessions.

Networking Opportunities

There are several opportunities to meet and network with other CFM professionals, including meetups, one-on-one meetings, and roundtables. Attendees can also attend workshops to gain expert insights on how to use the AWS platform to scale their business.

Hands-On Learning Opportunities

Attendees can take part in hands-on activities to gain first-hand experience on how to best manage cloud costs and optimize their AWS environments. Through these activities, attendees can learn more about the various AWS services, such as Amazon EC2, Amazon S3, and more.

How KeyCore Can Help

KeyCore is the leading Danish AWS Consultancy. We provide professional and managed services in the cloud financial management space. Our team of experienced professionals can help businesses of all sizes to optimize their cloud costs and ensure they are getting the most out of their AWS environment. We can also provide guidance on best practices for using the AWS platform. To learn more about KeyCore and our services, please visit our website at https://www.keycore.dk.

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AWS for Games Blog

AWS for Games – The Game Developer’s Guide to re:Invent 2023

AWS re:Invent 2023 is quickly approaching, and AWS for Games is preparing to welcome developers from all over the world at the yearly conference in Las Vegas, from November 27th to December 1st.

This year, there will be even more to look forward to than the announcements revealed during re:Invent keynotes. Attendees can explore a wide selection of panel discussions, presentations, workshops, and even hands-on activities. With the help of AWS’s most advanced cloud-based services, game developers can get creative and create their own unique gaming experiences.

AWS Services for Game Developers

AWS offers a variety of services to game developers, such as Amazon GameLift, Amazon Lumberyard, and Amazon Cognito. All these services are designed to help game developers quickly create, launch, and scale game titles in the cloud. AWS also offers a suite of other services, such as AWS Amplify and AWS AppSync, to help developers build, manage, and monetize their games.

AWS also offers machine learning services, such as Amazon Machine Learning and Amazon SageMaker, to help developers add intelligence to their games. Developers can use these services to create smarter AI-powered games with enhanced visuals, gameplay, and personalization.

AWS provides tools for developers to build their games on the cloud and then deploy them to platforms like iOS, Android, PC, Mac, and Xbox. Developers can also take advantage of AWS’s global infrastructure, availability zones, and high throughput to create a seamless, immersive gaming experience for their players.

The re:Invent Experience

At re:Invent 2023, developers can attend a variety of sessions, workshops, and activities that will help them get the most out of AWS’s services and build better games. Attendees can learn from AWS experts and industry leaders at the various panel discussions, presentations, and activities. There will also be hands-on workshops and activities designed to help developers understand how to use AWS services.

The event also offers developers the chance to network with other game developers and AWS experts. They can also explore the latest trends in gaming and explore the latest products and services available from AWS and other vendors.

KeyCore’s Offerings for Helping Game Developers

KeyCore is the leading Danish AWS Consultancy. We provide professional services and managed services to help game developers make the most of AWS’s services. Our team of AWS-certified professionals can help game developers create, launch, and manage their games on the cloud. We also offer advice on the best AWS services for game developers and how to use them for maximum effect.

We also offer a variety of services to help game developers monetize their games. Our team can help ensure that developers get the most out of their game titles and maximize their revenue. We offer services such as analytics, marketing, advertising, and customer support to help developers reach their monetization goals.

At KeyCore, we are dedicated to helping game developers succeed in the cloud. We have the expertise and experience to help game developers get the most out of their investment in AWS.

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AWS Training and Certification Blog

Welcome to the AWS Cloud: Get Started with AWS Training and Certification

If you’re thinking about becoming an AWS Cloud Consultant, you’re in luck! There’s never been a better time to join the AWS Cloud ecosystem. With the launch of the new AWS Cloud Consultant Professional Certificate on Coursera, aspiring professionals can learn and understand the what, why, and how of becoming a successful AWS Cloud Consultant. Read on to learn about the courses and start your journey today.

AWS Cloud Technology Consultant Professional Certificate

The AWS Cloud Consultant Professional Certificate is a comprehensive nine-course program available on Coursera. It begins with an introduction to the cloud and the basics of services like Amazon EC2 and Amazon S3. From there, you’ll learn the fundamentals of AWS Cloud Security, Networking, and using AWS Developer Tools and Services. With this comprehensive program, people with no prior technical knowledge or experience will gain the skills and knowledge to become a successful AWS Cloud Consultant.

October 2023 Updates to AWS Training and Certification

October was a fantastic month for AWS Training and Certification. We launched 8 new digital training products on AWS Skill Builder, including a learning plan and digital badge for Migration, an AWS Jam Journey for Game Serverless and Analytics, a free digital course to build generative AI skills with Amazon Bedrock, and a 12-month, prescriptive virtual training program to build job-ready cloud developer skills called AWS Cloud Institute. And if that’s not enough, AWS Cloud Quest: Cloud Practitioner is now available in Japanese.

KeyCore: Your AWS Partner in Denmark

At KeyCore, the leading Danish AWS Consultancy, we provide both professional services and managed services. Our team of AWS experts are highly proficient in all things AWS, so you can rest assured that any project you make with us will be built with the most advanced AWS tools and technologies. So, if you need help getting started or want a partner to help you take your AWS project to the next level, you can rely on KeyCore. Visit our website at www.keycore.dk to learn more.

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Official Big Data Blog of Amazon Web Services

Unlock The Potential of Data Analytics with AWS Glue and Google BigQuery

Data integration is vital for making informed decisions. AWS Glue is a serverless data integration and ETL service that helps connect and prepare data for analytics. It makes data from multiple, diverse sources available for analysis. AWS Glue is often used in combination with Amazon Redshift, a fast, petabyte-scale data warehouse in the cloud, and Google BigQuery, a data warehouse built for analytics.

Data Integration with AWS Glue

AWS Glue helps you discover, prepare, and store data from various sources. It provides an easy-to-use interface with a wide range of features for data integration. You can use the metadata catalog to browse and search source data, define data schemas and transformations, and build and run ETL jobs. AWS Glue also helps you create and update data warehouse tables.

Lower Price and Higher Performance with Amazon Redshift

When choosing their data warehouse solutions, customers want the best performance at the lowest cost. Amazon Redshift delivers top performance and is up to four times cheaper than other solutions. Additionally, Amazon Redshift’s automated machine learning capabilities help customers derive more value from their data.

Automated Upgrades with Amazon OpenSearch Service

Software upgrades are necessary to keep customers up to date with the software provider. Unfortunately, upgrades can be difficult to complete. Amazon OpenSearch Service helps customers perform an in-place engine upgrade with automated steps, avoiding downtime and remediation for breaking changes and deprecation.

ML Model Integration with Amazon Redshift and Amazon SageMaker Feature Store

Amazon Redshift is a trusted data warehouse for many customers. With Amazon Redshift, data analysts and database developers can use data to train machine learning models and generate insights for forecasting, recommendations, and more. They can also use Amazon SageMaker Feature Store to integrate features into the ML models.

Cost-Efficient Operational Analytics with Amazon OpenSearch

Operational analytics is a popular use case for Amazon OpenSearch Service. This service helps customers ingest a high volume of time series data and execute streaming analytics queries to gain real-time insights. It is cost-efficient and easy to scale up or down as needed.

Unstructured Data Management and Governance Using AWS AI/ML and Analytics Services

AWS can help customers extract valuable insights from unstructured data. The company provides various design patterns and architectures to facilitate this process. Additionally, customers can use AWS AI/ML services to analyze unstructured data.

Simplify Amazon Redshift Monitoring with Unified SYS Views

Amazon Redshift provides up to five times better price-performance than other cloud data warehouses. To help customers maximize Amazon Redshift’s performance, AWS has created the new unified SYS views. This feature simplifies monitoring and provides users more control over their data warehouse.

Build Multi-Layer Maps in Amazon OpenSearch

Amazon OpenSearch Service 2.5 allows customers to create maps with multiple layers. This makes it easier to visualize, view, and analyze geographical data. Additionally, customers can separate data sources by building each layer from a different index pattern.

Spark SQL on Amazon Athena Spark

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. With Athena Spark, customers can build Apache Spark applications using a simplified notebook experience. These notebooks support PySpark and feature magics for running cell-based commands.

KeyCore Can Help You Unlock the Potential of Your Data

Data integration and analytics is essential for decision-making, but it involves complex processes. With AWS services like AWS Glue, Amazon Redshift, Amazon OpenSearch Service, Amazon SageMaker Feature Store, and Apache Spark on Amazon Athena, customers can unlock the potential of their data.

KeyCore is a leading AWS consultancy in Denmark. We provide professional services and managed services, including end-to-end data analytics and data integration. Our experts can help you optimize your data infrastructure and leverage the power of AWS analytics services. Contact us today to learn more about how we can help you get the most out of your data.

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Networking & Content Delivery

Networking & Content Delivery

Motional, a joint venture between Aptiv and Hyundai Motor Group, is developing SAE Level 4 autonomous vehicles (AVs) for autonomous ride-hail and delivery services. To help with the deployment of these AVs, Motional partnered with major ride-hail companies including Uber, Uber Eats, and Lyft. To optimize global network performance and lower costs, Motional chose to use the AWS Direct Connect SiteLink. Motional operates vehicle garages in multiple regions to service their AVs, and they needed a way to connect them to the cloud and provide access to the services they rely on. With AWS Direct Connect SiteLink, they could securely and reliably connect their garages to the cloud and keep their data safe.

Similarly, Bose wanted to build a scalable, secure cloud network with AWS Cloud WAN. To do that, they needed to harmonize their global network. Bose faced various challenges, but they crafted guiding principles and created a holistic approach to bridge the gap between cloud and on-premises networks. With AWS Cloud WAN, they were able to combine the simplicity of the cloud with the reliability and control of on-premises networks, and create an efficient, secure global cloud network.

Elastic Load Balancer (ELB) can be used to maximize benefits and keep costs low. AWS recommends optimizing throughput and latency, implementing efficient connection management, and ensuring performance and reliability during periods of high demand. There are six pillars of ELB scalability and performance, including networking and security. By understanding these pillars and taking steps to optimize them, organizations can get the most out of their ELB resources.

AWS Cloud WAN offers Tunnel-less Connect, which makes it possible to build global SD-WANs without using Virtual Private Networks (VPNs). Tunnel-less Connect is designed to provide customers with the same secure connection and control as a VPN, with the added benefits of better scalability, improved resource allocation, and easier setup.

Organizations can also use AWS Verified Access and AWS Identity and Access Management (IAM) Identity Center to integrate with Security Assertion Markup Language (SAML) based identity providers (IdPs) and provide secure VPN-less access to corporate applications. AWS IAM Identity Center is the successor to AWS Single Sign-On, and using this service can simplify the process for customers.

Finally, AWS Data Centers use a continuous improvement model for interconnects to enhance customer experience. Technical and hardware decisions are made to build out AWS network infrastructure, and this blog explores the framework of interconnects that are used. The framework includes long-term and short-term plans to ensure customers have access to the best possible network experience.

At KeyCore, our team of AWS experts can help you with these networking and content delivery tasks. We provide professional services and managed services tailored to your specific needs. We understand the complexity of the AWS platform and can help you get the most out of AWS. Contact us today to learn more about how we can help.

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AWS Compute Blog

Archiving and Enhancing Runtime Security with AWS

AWS provides Simple Notification Service (SNS) to allow applications to send and receive messages. In order to provide a more secure solution, AWS is now introducing a new capability called Amazon SNS FIFO (First In, First Out). This ensures that messages are stored in the order they are received, so that consumers only receive messages in their intended order.

Furthermore, utilizing the Lambda Runtime API Proxy Extension, developers can gain greater control and visibility over the runtimes that are running their applications. This allows developers to specify what access the Lambda function has, and to customize access control levels on a per function basis.

Lastly, AWS Graviton-based Amazon EC2 instances can be integrated into an existing Amazon Elastic Kubernetes Service (Amazon EKS) environment running on x86-based Amazon EC2 instances. This allows applications to take advantage of a wide selection of EC2 instance types to optimize cost and resiliency.

At KeyCore, we have vast experience in many aspects of AWS, from architecture and design to implementation. We can help you leverage the power of AWS to ensure that your applications run securely and efficiently. Contact us to learn more about our services.

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AWS for M&E Blog

Video Monetization with Amazon IVS

Live video streaming is an increasingly popular format used by companies across a multitude of industries. According to Statista, online video had an audience reach of around 92 percent among internet users worldwide in the first quarter of 2023. To make the most of this increasing demand, Amazon Interactive Video Service (Amazon IVS) provides an easy-to-use managed service that enables customers to quickly stream video of their products and services.

What is Amazon IVS?

Amazon IVS is a fully managed live video streaming service that helps customers quickly build a scalable and reliable video streaming experience, all with minimal effort. Customers can create a production-grade video experience with just a few clicks. Amazon IVS provides a secure and reliable platform to stream live content and monetize videos, helping customers boost their engagement and increase their revenue.

Benefits of Amazon IVS

Amazon IVS provides a number of benefits for customers looking to monetize their live video streaming activities. One of the primary benefits is that customers can quickly set up their production-grade streaming environment without spending much time on the technical setup. Amazon IVS allows customers to easily configure and manage their streaming environment, as well as integrate with their existing video streaming services. With Amazon IVS, customers can also take advantage of its flexible pricing model and pay only for the capacity they need. Additionally, Amazon IVS provides customers with access to powerful APIs and analytics tools to help them better understand their audience and optimize their video streaming experience.

How Can KeyCore Help?

At KeyCore, our experienced team of AWS consultants can help customers optimize their use of Amazon IVS. Our team of experts will work closely with customers to understand their video streaming requirements and recommend the best options for monetization. We can also provide our customers with support and guidance to ensure that their video streaming experience is successful. Our team is highly experienced in providing professional services and managed services with AWS.

If you are looking for an experienced and reliable partner to help you get the most out of your live video streaming experience, contact KeyCore today. Our team of experienced AWS consultants can help you build a scalable and reliable video streaming platform and monetize your videos. We look forward to helping you get the most out of Amazon IVS.

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AWS Storage Blog

Automating Amazon S3 File Gateway with Terraform

Infrastructure as Code (IaC) is an important tool for organizations who need to manage their IT infrastructure quickly and efficiently. By automating the provisioning and configuration of cloud resources, organizations can reduce costs, speed up scaling and ensure uniformity and consistency across different parts of their hybrid cloud set-up.

In this article, we will cover how to automate Amazon S3 File Gateway with Terraform by HashiCorp. We’ll look at why it’s beneficial, the necessary steps and how KeyCore can help.

Why Use Terraform for Amazon S3 File Gateway?

Using Terraform for managing Amazon S3 File Gateway can provide several advantages. First, it helps to eliminate manual errors, making it easier to manage the infrastructure. Second, it allows users to quickly and easily scale the configuration of their resources. Finally, it helps to reduce costs by automating provisioning and configuration.

Steps to Automate Amazon S3 File Gateway with Terraform

To set up Amazon S3 File Gateway with Terraform, you’ll need to install and configure the HashiCorp Terraform CLI. Once you’ve installed the CLI, you’ll need to create a Terraform configuration file in which you’ll define the resources you want to create.

Next, you’ll need to set up the File Gateway configuration. This includes setting up access control lists, configuring file and folder permissions, and creating an S3 bucket for file storage. Finally, you’ll need to create the File Gateway instance.

KeyCore Can Help

At KeyCore, we can provide the expertise and resources you need to get the most out of your hybrid cloud infrastructure. Our team of experienced engineers can help you to set up Amazon S3 File Gateway with Terraform, ensuring that your set-up is both cost effective and secure.

We can also provide Amazon S3 File Gateway managed services that can help you to reduce costs, manage performance and ensure the security of your data. Contact us today to find out more.

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AWS Developer Tools Blog

The End of Support for Node.js 14.x in the AWS SDK for JavaScript (v3)

Deprecation Announcement

AWS SDK for JavaScript (v3) has announced the end of support for Node.js 14.x. This does not affect AWS Lambda, which is planning their Node.js 14.x deprecation (phase 1) on Nov 27, 2023. As of May 1, 2024, the AWS SDK for JavaScript (v3) will no longer actively support Node.js 14.x, as this version has reached end-of-life.

What Does This Mean?

This change could have a huge impact on applications that have been built on Node.js 14.x. Developers using this version will have to ensure their applications are updated and running on a supported version before May 1, 2024 or they will not be able to get new features or bug fixes from the AWS SDK for JavaScript (v3). Not only that, but any existing applications running on Node.js 14.x will also be at risk of security vulnerabilities due to the lack of support.

How Can KeyCore Help?

At KeyCore, we understand how important it is that any applications running on Node.js 14.x are updated as soon as possible. Our team of experienced developers is available to help you ensure your applications are running on a supported version before the end of support. We can help you identify any applications running on Node.js 14.x and advise on the best course of action for getting them updated. Our team is also available to provide assistance with any related AWS tasks, such as setting up or modifying CloudFormation stacks, making API calls using Typescript and AWS SDK for JavaScript v3, and more.

By working with our experienced team of developers, you can be sure that you won’t be caught off-guard by the deprecation of this version of Node.js. Contact us today to learn more about how KeyCore can help you prepare for the end of support for Node.js 14.x.

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AWS Architecture Blog

Harness the power of streaming data processing

Streaming data processing offers an incredible opportunity for businesses to stay ahead of the competition, make data-driven decisions more quickly, and gain invaluable insights into their customers’ behaviors and operational efficiency. In order to make the most of streaming data, you must have an efficient system in place to collect, process, and store data.

Designing your system

When designing a streaming data processing system you must consider both the technology and architectural components. AWS provides different products and services that can be used to construct a system, such as AWS Kinesis Streams, AWS Lambda, and AWS CloudWatch.

Kinesis Streams allows for real-time data ingestion and processing. It can be used to capture and process streaming data from sources such as websites, mobile devices, and IoT devices. Data can then be processed in real-time using AWS Lambda. This can be used to filter data, transform it, and send it to other services such as Amazon S3 or Amazon DynamoDB.

Finally, AWS CloudWatch can be used to monitor the performance of the system and alert if any issues arise. CloudWatch can also be used to set up automated alarms and notifications.

KeyCore’s expertise in AWS

KeyCore, the leading AWS consultancy in Denmark, provides both professional and managed services. We have the technical expertise and knowledge to help you design and build a streaming data processing system that meets your needs. Our team of experienced professionals can advise you on the best tools and services for your project, as well as providing hands-on support in building, deploying, and maintaining your system. With our help, you can harness the power of streaming data processing and stay at the forefront of your industry.

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AWS Partner Network (APN) Blog

The AWS Partner Network (APN) and Mainframe Modernization

Mainframe modernization is a complex process that requires a plan that aligns with business objectives and technical drivers. Through the AWS Mainframe Modernization Service, customers have access to automated approaches that cover everything from assessment to migration. With Wipro, customers have the opportunity to build a successful mainframe modernization journey.

Wipro and AWS work together to help customers assess the relevance of mainframe modernization for their business, identify any potential challenges, and determine the best approach for the journey. Wipro uses a methodical approach when it comes to mainframe modernization which focuses on the technical and functional aspects of the platform, the complexity of the migration, the modernization timeline, and the best fit solution for the customer.

Hybrid-Tenant Architecture for Cloud Platforms

Sela designed and implemented a hybrid-tenant architecture for Dittofi’s cloud hosting platform. This architecture allows tenant workloads to run and be managed while also making sure users have a good experience developing no-code applications. Sela implemented measures to ensure near-real-time code generation.

Interoperable Master Format (IMF) for Broadcast

The Interoperable Master Format (IMF) is a standardized delivery model that reduces the footprint of content while allowing for localization and customer-specific deliverables. Tedial and AWS work together to simplify broadcast workflows by leveraging IMF, including quality control, asset management, transcoding, and playout. This multi-partner approach helps ensure successful delivery of broadcast content.

Cognizant’s Patient Health Insights Suite

Cognizant’s Patient Health Insights Suite is a cloud-based platform that provides comprehensive visual, exploratory, and predictive/prescriptive analyses of patient care and health insights. This platform addresses traditional preventive measure shortfalls by allowing for the processing of huge amounts of data through the use of advanced AI algorithms.

Oracle Database Licensing and AWS Migration

Migrating Oracle databases to AWS in order to reduce infrastructure and software licenses costs is a common goal. When assessing the viability of such a migration, customers consider many factors including business requirements, security, and performance. House of Brick explores licensing considerations and typical problems with licenses when migrating Oracle databases to AWS.

Ensono Envision Advisor and AWS Trusted Advisor

AWS Trusted Advisor inspects a customer’s AWS environment and provides recommendations to optimize infrastructure, improve security and performance, reduce cost, and monitor service quotas. Ensono Envision Advisor takes these AWS Trusted Adviser recommendations and turns them into actionable insights that are unique to the customer, making it easier to achieve operational excellence on AWS.

Navigating AWS Partner Network and AWS Marketplace

AWS experts provide a step-by-step guide on how to navigate and leverage the AWS Partner Network (APN) and AWS Marketplace. This guide covers everything from development to customer experience, including how to integrate continuous compliance controls, obtain access to security information, and add certifications and compliance reports to product profiles.

Comparing AWS Lambda Arm vs. x86 Performance, Cost, and Analysis

Cascadeo designed an experiment to compare Arm vs. x86 Lambdas functions in terms of performance and cost. The experiment found that switching to Arm-based Lambdas can have significant benefits in terms of performance or cost—and a lot of times both! For AWS Lambda users yet to migrate to Arm, this post provides an important data-driven view of the potential benefits.

Infosys’ Enterprise Knowledge Management Assistant

Many companies face the challenge of enhancing the clarity and availability of internal documents, which can be a significant hurdle for support teams, business users, or new members. Infosys overcame this challenge by building an enterprise knowledge management assistant using generative AI technologies on AWS.

Total Economic Impact Partner Opportunity Analysis for AWS Marketplace

Forrester Consulting conducted a Total Economic Impact (TEI) study to examine the potential business opportunity and return on investment (ROI) that Channel Partners can realize by building and scaling an AWS Marketplace practice. Learn the potential revenue opportunities, benefits, costs, and best practices associated with reselling third-party software, data, and offering professional services in AWS Marketplace.

Rebura’s SaaS Competency Journey

Rebura’s Head of Software Development, Ross Humphrey, shares his journey to achieving the SaaS Competency by leveraging programs such as SaaS Discovery and SaaS Competency On-Ramp. Learn how Rebura can quickly build AWS SaaS capabilities to better serve customers, along with a customer story for sports technology company ai.io.

At KeyCore, our team of AWS experts are certified in SaaS Competency and have years of experience helping customers build and scale their AWS Marketplace practice. We can provide customers with the guidance and services necessary to capitalize on the opportunities outlined in this blog post. To learn how KeyCore can help with your AWS Marketplace journey, contact us today.

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AWS Cloud Enterprise Strategy Blog

Chief Data Officers and the importance of Data in the Enterprise World

In 2020, Tom Davenport, the renowned author and data scientist, teamed up with the MIT Chief Data Officer and Information Quality Symposium to conduct a global study of Chief Data Officers (CDOs) in various industries, tenures, and stages of the data journey. The results of this research provided a clear understanding of the importance of data in the enterprise world, and this article will discuss the findings of the research and explore what this means for businesses looking to carry their data strategy into 2024 and beyond.

What the Research Found

The research found that the CDO role is making a significant impact in the enterprise world, with CDOs becoming more prominent in the C-Suite level, and the data teams they lead increasingly taking a more active role in driving business decisions.

At the same time, the research identified a number of challenges that are hindering CDOs from successfully realizing their data strategy, including a lack of understanding of the business value of data, a lack of resources to properly capitalize on data, and a lack of capabilities to properly manage data.

These challenges, the research found, can only be addressed by a comprehensive enterprise-wide data strategy that takes into account the needs of all stakeholders.

Developing a Comprehensive Enterprise-Wide Data Strategy

To effectively develop a comprehensive enterprise-wide data strategy, businesses need to define clear objectives for their data strategy and then develop a plan of action to achieve those objectives. This plan should include the following:

  • A clear understanding of the value of data
  • A comprehensive data strategy that takes into account the needs of all stakeholders
  • A comprehensive data governance framework to ensure data is properly managed
  • A data platform that is properly scaled and suited to the needs of the organization
  • A system for measuring and tracking the performance of the data strategy

How KeyCore Can Help

At KeyCore, we understand the importance of data in the enterprise world and have the experience and expertise to help businesses develop a comprehensive enterprise-wide data strategy. Our team of experienced AWS consultants can help businesses develop a data strategy that takes into account the needs of all stakeholders, ensure the data platform is properly scaled to meet the needs of the organization, and provide ongoing support and advice to ensure the data strategy is properly implemented and maintained.

If you are looking to develop and implement a comprehensive enterprise-wide data strategy, contact KeyCore today to see how we can help.

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AWS HPC Blog

MPI, Libfabrics, and EFA: A Dive Into the Open-Source Frameworks powering AWS HPC

The AWS HPC offering has undergone tremendous growth in recent years, with customers from all sectors leveraging the superior compute power and scalability of AWS for their HPC needs. One such technology that plays a crucial role in this success is the Elastic Fabric Adapter (EFA). EFA enables MPI messages to be exchanged between compute instances, and is an essential component for a high-performing distributed HPC cluster.

Improving Performance with MPI and Libfabrics

The Open MPI and Libfabrics open-source frameworks are essential for enabling high-performance distributed HPC clusters on AWS. Through the collaborative work of these open-source communities, recent improvements in performance have made EFA an even more powerful tool for customers running HPC workloads on AWS. For instance, the Open MPI framework now supports the use of multiple EFA devices per node, increasing the efficiency of MPI communication. Additionally, the Libfabrics framework has been enhanced to reduce the latency of MPI message exchanges, leading to improved performance for EFA users.

Unveiling the Power of Agent-Based Models

Agent-based models (ABMs) are a powerful tool for understanding and predicting complex systems. As AI and machine learning algorithms become more commonplace, agent-based models are increasingly being used to simulate and analyze socio-economic and environmental systems. ABMs allow us to gain a deeper understanding of how a system works and how its different components interact, which can be extremely useful for making decisions about the environment and socio-economic systems.

For example, ABMs can be used to simulate and analyze the spread of infectious diseases over a population. By simulating how different factors, such as population density and the effectiveness of treatments, affect the spread of a disease, we can gain insights into how to best mitigate its impact. Similarly, ABMs can be used to simulate the impact of climate change on a given region, allowing us to better understand the potential risks and benefits of different environmental policies.

How KeyCore Can Help

At KeyCore, we are experienced in leveraging the power of AWS to help our customers drive innovation and growth. Our team of AWS experts can help you take advantage of the latest technologies for your HPC needs. Whether you need help building a distributed HPC cluster on AWS or running agent-based models on AWS, we are here to help. Our team will work with you to develop the best solution for your unique needs, so you can focus on driving the success of your business. Reach out to us today to get started.

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AWS Cloud Operations & Migrations Blog

Efficiently Manage AWS Accounts and Monitor Health with Tag-Based Filtering

Self-service Account Provisioning Using AWS Service Management Connector for ServiceNow
Many customers are looking to adopt a multi-account strategy within their AWS environment. By doing so, they can isolate their workloads into different environments, such as test, dev, and production, and can easily separate workloads based on regulatory requirements. To increase agility within their multi-account environment, customers can offer business units their own AWS accounts to manage, and with AWS Service Management Connector for ServiceNow, customers can implement a self-service provisioning workflow. This allows business units to quickly create and manage their own accounts, saving customers time and money.

Best Practices for Managing AWS Account Meta-Data at Scale

Using multiple accounts on an AWS environment is one of the recommended best practices when organizing workloads and the environment. Benefits include better leveraging of AWS services. However, AWS accounts also need to be managed. To maintain control over their accounts, customers can centrally store and manage AWS account meta-data, such as account names, service limits, and account owners, in a single location. This also allows customers to more easily detect changes to meta-data and make proactive decisions.

How to Download Your AWS Resilience Hub Assessment Results

AWS Resilience Hub provides a central place to define, validate, and track the resilience of an application on AWS. With it, customers can assess the impact of every application change on resiliency and easily create resiliency assessments by using a template. Customers can also analyze assessment results and download them in various formats, such as CSV, for further review.

Using Tag-Based Filtering to Manage AWS Health Monitoring and Alerting at Scale

AWS provides customers regular updates of service notifications and planned activities via email to the root account owners or the operational, security and billing contacts. Customers can also use AWS Health to fine-tune their alerts on issues that directly affect them. Alongside Health Dashboard’s monitoring capabilities, customers can also filter notifications and alerts using tag-based filtering. This allows customers to more easily manage their alerts and notifications at scale.

At KeyCore, we understand the importance of managing multiple AWS accounts and monitoring health. Our team of AWS experts are experienced in implementing solutions, such as AWS Service Management Connector for ServiceNow, to help customers provision their accounts quickly and easily. We also help customers centrally store and manage their meta-data, analyze assessment results with AWS Resilience Hub, and use tag-based filtering to manage their AWS Health monitoring and alerts. Contact us to learn more about how we can help you manage your AWS accounts and monitor health.

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AWS for Industries

AWS for Industries: Innovative Solutions for Retail, Automation, Healthcare, Manufacturing and Financial Services

Retail: AWS Smart Store Kiosks

Retailers are always looking for more efficient ways to improve the customer shopping experience. New technology, such as generative AI, has enabled innovations in self-service kiosks that allow customers to browse, purchase, and even get personalized recommendations without needing help from an employee. This type of kiosk can help reduce friction during the shopping process, creating a more streamlined experience for customers.

Industrial Welding: AI and Inspection Automation

Metal-to-metal welding applications require thorough inspections to detect weld defects and avoid costly product recalls, scrap, rework, and other quality-related expenses. Companies have found it difficult to implement such automation, but IBM Smart Edge for Welding (SE4W) with AWS provides quality inspection capabilities based on AI, allowing companies to detect weld defects in near-real-time and with virtually 100% sample sizes.

Automation: SPS 2023 Conference

Smart Production Solutions (SPS) Conference on November 14-16, 2023, is the place to stay informed on trends and technologies driving Industry 4.0. At the event, attendees can explore digital automation and AI solutions to improve operations with AWS and AWS Partners in Hall 5, Booth #350.

Healthcare: Improving Discharge Medication Safety

Medication errors can lead to harm, making it essential for healthcare organizations to improve medication safety. With an increasing number of medications available, simultaneous use of multiple medications by a single patient can be complex. AWS provides services for building secure applications and data lakes to help healthcare organizations manage and monitor medications more securely, preventing errors.

Manufacturing: Unlocking Factory Potential at AWS re:Invent 2023

AWS re:Invent 2023 is happening November 27th to December 1st in Las Vegas, Nevada, and attendees will get an inside look at how leading manufacturers are using AWS cloud technology to transform their operations. AWS cloud technology enables manufacturers to reduce costs, optimize operations, and create new revenue streams.

Acoustic: 10X Throughput Rates with AWS

Marketing technology platforms must send rich content sourced from customer datasets to drive personalized messaging to customers. With AWS, Acoustic was able to modernize their Send Engine in order to scale during critical times of the year and meet customer data volume demands in real-time.

Tealium: Cross-Channel Customer Experiences with Personalize

Personalization plays a key role in elevating the customer experience. Tealium uses Amazon Personalize to tailor products, services, and interactions to meet the unique needs and preferences of each customer. This helps businesses differentiate themselves from competitors, creating loyalty and advocacy.

Financial Services: Making the Most of re:Invent 2023

AWS re:Invent 2023 is taking place November 27th to December 1st in Las Vegas, Nevada. Financial services organizations can attend to learn about the latest trends and technologies driving the industry, as well as engage in keynotes, workshops, and networking opportunities. A virtual program is also available for those who cannot join in person.

Generative AI: The Answer to All Questions?

Retailers often have questions about where to invest in generative AI technology. The answer will vary for each situation, as there is not one-size-fits-all solution. Companies can benefit from using AI for predictive analytics, natural language processing, and virtual assistants, as well as automating and streamlining operations. With AWS, companies can build, train, and deploy AI solutions quickly and cost-effectively.

At KeyCore, our AWS experts can help you make the most of generative AI and all the latest AWS technologies. We provide both professional services and managed services that leverage AWS for improved performance, scalability, and cost savings. Contact us today to get started.

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

AWS Security, Identity, and Compliance: A Comprehensive Guide

A Phased Approach Towards a Complex HITRUST r2 Validated Assessment

Health Information Trust Alliance (HITRUST) provides healthcare organizations with a comprehensive and standardized approach to information security, privacy, and compliance. HITRUST Common Security Framework (HITRUST CSF) helps organizations establish a robust security program, protect patient data privacy, and comply with industry regulations. HITRUST CSF boosts security, streamlines compliance efforts, and reduces costs.

The Security Attendee’s Guide to AWS re:Invent 2023

AWS re:Invent 2023 is coming up in Las Vegas in November, and it’s an opportunity to come together with cloud enthusiasts from all over the world. Attendees can hear the latest cloud industry news, meet with AWS experts, and build relationships. This post highlights key presentations to look out for, tips for a successful event, and networking opportunities.

Mask and Redact Sensitive Data Published to Amazon SNS Using Managed and Custom Data Identifiers

We’re introducing a new capability for Amazon Simple Notification Service (Amazon SNS) message data protection. This post shows how to use this capability to create custom data identifiers to detect and protect domain-specific sensitive data, such as employee IDs. Previously, you could only use managed data identifiers for this purpose.

AWS FedRAMP Revision 5 Baselines Transition Update

On May 20, 2023, the Federal Risk and Authorization Management Program (FedRAMP) released the FedRAMP Rev.5 baselines. These baselines correspond with the National Institute of Standards and Technology’s (NIST) SP 800-53 Rev. 5 Catalog of Security and Privacy Controls for Information Systems and Organizations and SP 800-53B Control Baselines for Information Systems and Organizations.

AWS Digital Sovereignty Pledge: Announcing a New, Independent Sovereign Cloud in Europe

Since its inception, AWS has been committed to giving customers control over their data and options for how to secure and manage that data in the cloud. Last year, the AWS Digital Sovereignty Pledge was announced, offering customers the ability to access a secure and compliant cloud. This post goes over what the pledge entails, the new European sovereign cloud, and the customer benefits.

Updated Essential Eight Guidance for Australian Customers

AWS is excited to announce the release of AWS Prescriptive Guidance on Reaching Essential Eight Maturity on AWS. This guidance was designed to help customers simplify and speed up their security compliance obligations under the Essential Eight framework of the Australian Cyber Security Centre (ACSC). The Essential Eight is an Australian Government-developed program of proactive cybersecurity measures to reduce the risk of online threats.

At KeyCore, we are experts in AWS security, identity, and compliance. Our team of AWS-certified engineers can help you get the most out of the latest AWS launches and announcements. We can help you implement the latest security controls, create custom data identifiers to protect sensitive data, and ensure that you meet all compliance requirements. Our managed services team can also help you monitor your infrastructure and ensure that you remain compliant with all relevant regulations. Contact us today to learn more.

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Front-End Web & Mobile

Access Resources in Amazon VPC from a Next.js API

For many organizations, Amazon Virtual Private Clouds (VPCs) are an integral part of the architecture, allowing the deployment of resources with secure access. As frontend web developers, it can be a challenge to access resources deployed in a VPC from Next.js applications. In this article, we will look at how to use the AWS Amplify Hosting service to access resources in a VPC from a Next.js API.

VPCs & Access

A VPC is an isolated virtual network within the AWS cloud. It allows for the deployment of resources and services while controlling access to specific networks. Access is usually handled through Network Access Control Lists (ACLs) or Security Groups. When a resource is placed in a VPC, it can be accessed via the public internet or a private network.

AWS Amplify Hosting

AWS Amplify Hosting provides an easy and secure way to host and serve Next.js applications from the AWS cloud. It also offers the ability to access resources in a VPC and provide secure access. To use Amplify Hosting, developers need to link their application to a VPC and create a security group to control access.

Creating a Security Group

To control access to resources in a VPC, developers need to create a security group. This is done through the AWS Management Console. Once the security group is created, developers can add rules to the group to control access to specific services.

Using an Endpoint

Once the security group has been created, developers can use the Endpoint feature of Amplify Hosting to access resources in the VPC. This allows developers to access resources such as databases, Elasticsearch clusters, and other services without requiring IP whitelisting. To use the Endpoint feature, developers need to specify the security group when configuring their application.

KeyCore & AWS

At KeyCore, we specialize in providing professional and managed AWS services. Our team of experts has years of experience in designing, deploying, and managing applications on the AWS cloud. We can help you design and deploy a secure and robust architecture for your applications using Amazon VPCs and AWS Amplify Hosting. Contact us today to learn more about our services.

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Innovating in the Public Sector

Innovating in the Public Sector with AWS

The public sector is undergoing a digital transformation, leveraging technology and digital solutions to improve services and the lives of those it serves. To celebrate the practitioners, teams, and leaders driving this transformation, the Future of Government Awards are now open for nominations through December 14, 2023.

Automating Multi-Channel Communication for School Bus Delays

School districts can quickly notify parents of bus breakdowns and delays with a solution that uses AWS services. Amazon Connect allows the bus driver to call an automated system, and Amazon Pinpoint sends outbound notifications via the parent’s preferred communication channel – phone call, SMS, or email. The system also notifies parents when the bus is back in service, or provides alternate instructions for student pickup.

Establishing Hybrid Connectivity for Cyber Security

AWS consulted with the Canadian Centre for Cyber Security (CCCS), the Treasury Board of Canada Secretariat (TBS) and Shared Services Canada (SSC) to develop a CCCS Medium Cloud Reference Architecture. This architecture helps reduce the time and effort required to implement CCCS Cloud Medium controls from 90+ days to 2 days.

Applying AI in Healthcare

Netsmart and AWS are working together to use AI to improve care delivery and outcomes for community-based care providers. This includes intelligent automation, generative AI, predictive analytics, natural language processing, and risk models.

Scaling Innovation in K12 and Primary Education

At the IMAGINE conference, three K12 technology leaders discussed how the cloud can help innovative ideas scale and expand in K12 education. The four key themes identified by panelists included data-driven decision making, using the cloud for analytics, personalization, and collaboration.

Education Accelerator for EdTech Founders

The AWS Education Accelerator gives EdTech founders the support and mentorship they need to bring innovative solutions to market by leveraging the power of data, analytics, AI/ML, and the cloud. Applications are open and more details can be found here.

At KeyCore, we know how important it is to stay ahead of the digital transformation and embrace new technologies. That’s why our team of AWS certified professionals is here to help. We can show you how to use AWS to develop innovative solutions, automate workflows, and improve service delivery for the public sector. Contact us today to learn more.

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The Internet of Things on AWS – Official Blog

Ten Security Golden Rules for Connected Mobility Solutions

Connected mobility solutions are significantly influencing the automotive industry. With features like remote commands, sensors, cameras, artificial intelligence, and 5G mobile networks, vehicles are becoming increasingly smart and connected. While these solutions offer notable value to customers, they also introduce new risks to security, safety, and privacy that need to be managed properly.

Assessing Risk

For automakers, it is essential to first assess the risk associated with connected mobility solutions. Risk analysis needs to be done across the entire lifecycle of the product, and organizations need to determine the possible threats and the potential risk to confidentiality, integrity, and availability.

Secure Design Principles

Organizations should also implement secure design principles during the design and development of connected mobility solutions. Automakers should focus on secure design principles like defense in depth, secure by default, least privilege, separation of duties, fault tolerance, and the use of secure protocols.

Implementing Security Controls

Organizations should also implement security controls to properly protect connected mobility solutions. These controls include authentication, authorization, encryption, data integrity, secure data storage, and the use of secure software development and deployment processes.

Continuous Monitoring

To ensure the security of connected mobility solutions, organizations should also continuously monitor their environment. Monitoring activities should include threat detection, system security, data security, and incident response. This will ensure that organizations are able to quickly detect and respond to security threats.

The Role of AWS

AWS can play an important role in helping organizations secure connected mobility solutions. With AWS, organizations can deploy security controls quickly and easily, and they can also monitor their environment in real time. AWS also provides a wide range of security tools and services that can be used to secure connected mobility solutions.

At KeyCore, we are experts on AWS Security and have many years of experience in helping organizations secure their connected mobility solutions. We can help you assess risk, develop secure solutions, and implement security controls. Contact us today to learn more about how we can help you secure your connected mobility solutions.

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AWS Open Source Blog

A Collaboration between AWS and Navteca to Enable Scientists

Navteca and AWS have come together to create an open source solution to automate the provisioning of Daskhub (JupyterHub with Dask) on demand. This is the first step towards providing “scientific models as a service”.

What is Daskhub?

Daskhub is a platform for scientific computing that enables scientists to run large-scale computations on remote clusters. It is a combination of JupyterHub and Dask, an open source parallel computing library. It allows scientists to dynamically provision a cluster of compute nodes that can be used for big data analysis and machine learning jobs.

How Does the Open Source Solution Work?

The open source solution automates the provisioning process for Daskhub on demand. It uses AWS CloudFormation to create an Amazon Elastic Kubernetes Service (EKS) cluster that is used to run the Daskhub. CloudFormation is an Infrastructure as Code (IaC) service that allows developers to define their infrastructure resources in a template.

The template defines the compute nodes that will be used to run the Daskhub cluster. It also contains the configuration parameters for the EKS cluster, such as the version of Kubernetes, the desired number of nodes, and the security settings. Once the cluster is created, the open source solution deploys the Daskhub on it.

The open source solution also provides a web-based interface for scientists to interact with the Daskhub cluster. This interface allows them to create, modify, and delete notebooks and other resources in the cluster from a central hub. This makes it easier for scientists to collaborate on their projects.

What Does This Mean for Scientists?

This open source solution enables scientists to quickly and easily provision a Daskhub cluster on demand, without having to manually configure and manage each individual component. This makes it easier for scientists to collaborate on their data science projects, as they can now have a shared environment for running their computations.

The open source solution also provides an easy-to-use web interface for scientists to interact with the Daskhub cluster. This makes it easier for them to manage their resources and collaborate with their peers on data science projects.

How Can KeyCore Help?

At KeyCore, we provide professional and managed services to help customers with their AWS projects. We have extensive experience in deploying and managing AWS resources, including Amazon EKS and CloudFormation. Our engineers can help you set up the open source solution to automate the provisioning of Daskhub clusters and help you take advantage of its features.

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