Summary of AWS blogs for the week of monday Mon Nov 20

In the week of Mon Nov 20 2023 AWS published 95 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Desktop and Application Streaming

Desktop and Application Streaming is an important part of the End User Computing (EUC) solution offered by Amazon Web Services. It provides an efficient way to offer virtual applications and desktops to users without the need for complex and costly on-premises infrastructure.

Seamless and secure end-user computing at Intuit with Amazon WorkSpaces

Intuit is a global financial technology platform that powers prosperity for 100 million customers with its connected products and services for small and medium-sized businesses (SMBs), self-employed individuals, freelancers, individual taxpayers, and tax professionals. To provide a better experience for their customers, Intuit needed an end-user computing solution that could deliver a seamless and secure experience. Initially, Intuit opted for on-premise virtual desktop infrastructure (VDI), however, they soon realized that they needed a flexible and cost-effective solution that could scale to meet their needs. This led them to Amazon WorkSpaces.

Amazon WorkSpaces provided Intuit with a way to reduce complexity and costs of their VDI while meeting their security and compliance needs. Furthermore, Amazon WorkSpaces allowed Intuit to improve agility and give their customers a better experience with up-to-date applications and a secure access to their data.

Getting the most out of VMware Horizon 8 with Amazon WorkSpaces Core

Organizations running on-premises VDI solutions face pressures to improve agility and reduce costs. Amazon WorkSpaces Core provides an opportunity for organizations using VMware Horizon 8 to combine their existing VDI management software with the security and reliability of the AWS Cloud. Amazon WorkSpaces Core helps organizations to reduce complexity and cost of their VDI while meeting their security and compliance needs.

By using Amazon WorkSpaces Core with VMware Horizon 8, organizations can benefit from increased agility, reduced complexity, and improved cost savings. Amazon WorkSpaces Core also offers organizations the flexibility to choose their own operating systems, licenses, and applications, allowing them to reduce costs while providing the best experience to their users.

Streamlining migration of virtual desktop infrastructure to AWS End User Computing

Migrating to the cloud can be a complex process, especially when it comes to migrating existing virtual desktop infrastructure (VDI). Amazon WorkSpaces Core is an AWS managed virtual desktop infrastructure that is integrated with third-party VDI solutions to improve the migration process. It provides improved security, reliability, and cost savings, while also allowing organizations to maintain their existing VDI management software and applications.

Amazon WorkSpaces Core enables organizations to migrate their VDI solutions to the cloud with minimal disruption. It also allows organizations to benefit from increased agility, reduced complexity, and improved cost savings. Furthermore, Amazon WorkSpaces Core offers organizations the flexibility to choose their own operating systems, licenses, and applications, allowing them to reduce costs while providing the best experience to their users.

Convert desktop apps to SaaS without refactoring using Amazon AppStream 2.0

Independent Software Vendors (ISVs) who are not cloud native face a common challenge – migrating their portfolio of traditional desktop applications to Software-as-a-Service (SaaS). This process can be time-consuming and costly, as it requires refactoring the applications to fit the cloud environment. Amazon AppStream 2.0 simplifies this process by allowing ISVs to quickly and easily migrate their desktop applications to the cloud without the need for refactoring.

Amazon AppStream 2.0 provides a secure, reliable, and cost-effective way for ISVs to migrate their applications to the cloud. Furthermore, Amazon AppStream 2.0 simplifies the process by providing a consistent experience to end users, regardless of the type of device they are using. With Amazon AppStream 2.0, ISVs can quickly and easily migrate their applications to the cloud, allowing them to reduce costs and provide a better experience to their users.

Understand user access patterns and optimize Amazon WorkSpaces with Amazon CloudWatch

To gain additional insight into how end users are connecting to Amazon WorkSpaces, organizations can use Amazon CloudWatch to track and report on IP addresses, platforms, and client versions being used to access WorkSpaces. Amazon CloudWatch can also be used to better understand operating system resource utilization within the WorkSpace.

By using Amazon CloudWatch, organizations can gain valuable insights into their users’ access patterns, allowing them to optimize their Amazon WorkSpaces for a better user experience. This increased visibility can also help organizations to better troubleshoot user issues and identify opportunities for cost savings.

Migrating to Microsoft 365 Apps for enterprise at scale on Amazon WorkSpaces

Amazon Web Services offers two choices to run Microsoft Office productivity applications on Amazon WorkSpaces services. The first option is to license Microsoft Office as part of a WorkSpaces application bundle. As of August 1, 2023, organizations have the option to bring Microsoft 365 Apps for enterprise licenses to use on Amazon WorkSpaces services.

Microsoft 365 Apps for enterprise provides a more cost-effective way for organizations to run Office applications on Amazon WorkSpaces services, as it eliminates the need to purchase additional licenses for Office applications. Furthermore, Microsoft 365 Apps for enterprise offers organizations the ability to easily manage and deploy Office applications at scale on Amazon WorkSpaces.

How KeyCore Can Help

At KeyCore, our experienced team of AWS certified professionals can help your organization to get the most out of its End User Computing (EUC) solution. We have extensive experience in helping organizations to streamline their virtual desktop infrastructure (VDI) migration to the cloud, and can help you to take advantage of Amazon WorkSpaces and Amazon AppStream 2.0. Our team can also guide you in leveraging Amazon CloudWatch to gain additional insight into user access patterns and to optimize your Amazon WorkSpaces for a better user experience.

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AWS DevOps Blog

Automate Safe AWS CloudFormation Deployments from GitHub

AWS CloudFormation is an Infrastructure as Code (IaC) service that lets you model, provision, and manage AWS and third-party resources. The service now supports using Git sync to automatically trigger a deployment whenever a tracked Git repository is updated. This allows developers to significantly cut down on development time for CloudFormation by integrating it into their Git workflow.

With the Git sync option, developers can now keep their CloudFormation templates up to date by committing changes to a tracked Git repository. This makes it easier to version control and manage changes to CloudFormation stacks. Additionally, developers can use services such as CodeBuild to set up automated testing and validation of CloudFormation templates. This allows for safe and secure deployments of CloudFormation stacks to production.

To use the Git sync option, developers will need to create an AWS Identity and Access Management (IAM) role that allows CloudFormation to work with a tracked Git repository. They will then need to enable the Git integration in the CloudFormation console, and provide the IAM role and the Git repository URL. This will then allow CloudFormation to monitor changes in the repository and initiate deployments whenever it detects a change.

At KeyCore, we help clients with their AWS usage and CloudFormation deployments. Our expert engineers can provide consulting services to help you set up automation for your CloudFormation deployments, and also perform security reviews to ensure your deployments are secure.

Your DevOps and Developer Productivity Guide to re:Invent 2023

The AWS re:Invent event is just around the corner and we can’t wait to join thousands of developers in person and virtually for another exciting event. This guide provides information on all the DevOps and Developer Productivity related topics that will be covered at the re:Invent event.

At re:Invent, you can get hands-on experience with DevOps and developer productivity tools and services. These include topics such as CI/CD, serverless, observability and analytics, and containers. You can also get insights into best practices to help you accelerate and optimize your development processes. Additionally, you can learn about the latest features and services to help you build more resilient and scalable applications.

At KeyCore, we help our clients stay up to date with the latest trends and technologies. Our team of engineers can provide consulting services to help you make the most of re:Invent, and also assist you on your journey to DevOps and other modern development practices.

Introducing Amazon CodeWhisperer for the Command Line

The command line is essential to the software development process, yet it can be a daunting experience due to its terse output, dated interface, and lack of hints. With the introduction of Amazon CodeWhisperer, developers can now get more detailed and contextual information on commands, as well as get help with command autocompletion and debugging.

CodeWhisperer works by providing real-time contextual insights into commands in the command line. This includes providing tips, hints, and recommendations on what commands to run. This ensures that developers can quickly and accurately execute commands with less effort and fewer errors. Additionally, CodeWhisperer also supports command autocompletion, which speeds up development by predicting the command based on the characters entered.

At KeyCore, we provide best-in-class services to help clients with their command line and development needs. Our engineers can provide consultation and training services to help you get the most out of Amazon CodeWhisperer, and also develop custom solutions to help you optimize your development flows.

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AWS Launch Wizard for SAP APIs: Automating Deployments

AWS Launch Wizard for SAP APIs offers customers an automated way to deploy secure, high-performance, resilient, and efficient HANA-based SAP applications on AWS in just a few hours, instead of weeks or months. It provisions all the necessary AWS resources such as Amazon Elastic Compute Cloud (Amazon EC2) instances, security groups, Amazon Elastic Block Store (Amazon EBS) volumes, and Elastic Network Interfaces (ENIs).

Simplified Deployment Process

The AWS Launch Wizard for SAP APIs simplifies the process of deploying a wide range of SAP applications on AWS by automating the entire deployment process. It provides a guided experience that helps customers customize their SAP applications for their specific needs. Customers can choose the deployment stack, instance type, and other configuration options as part of the automated process.

Optimized Performance and Scalability

The AWS Launch Wizard for SAP APIs offers customers an optimized experience when deploying SAP applications on AWS. It automates the configuration of specific features to enable optimized performance and scalability, while also ensuring the security and reliability of the customer’s deployment. This includes the configuration of Amazon EC2 instance types, instance features such as Enhanced Networking and Memory Optimization, as well as the configuration of Amazon EBS volumes for optimal performance.

Getting Started with KeyCore

KeyCore can help you get started with AWS Launch Wizard for SAP APIs. Our experts can help you customize and optimize your AWS setup to ensure that your SAP applications are running at peak performance. Contact us today to learn more about how we can help you get the most out of your SAP applications on AWS.

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Announcements, Updates, and Launches

AWS Launches and Updates – November 20, 2023

AWS re:Post Private for Collaboration and Knowledge Sharing

AWS re:Post Private is a fully managed knowledge service to help organizations collaborate and access cloud knowledge resources. AWS has curated collections of technical content and training materials tailored specifically for the user’s cloud community. This includes content such as tutorials, workshops, and reference architectures. With AWS re:Post Private, users can easily search, access and share cloud-based knowledge.

Anomaly Detection with AWS Glue

In preview, AWS is launching a new AWS Glue Data Quality feature that uses machine learning to detect statistical anomalies and unusual patterns. With this feature, users get deep insights into data quality issues, data quality scores, and recommendations for rules that can be used for continuous monitoring.

Mutual Authentication for Application Load Balancer

AWS now supports mutually authenticating clients that present X509 certificates to Application Load Balancer. This new capability is built on S2N, AWS’s open source Transport Layer Security (TLS) implementation. This allows organizations to offload client authentication to the load balancer and ensure only trusted clients communicate with their backend applications.

Check AWS Free Tier Usage Programmatically with the API

Customers can now use the new AWS Free Tier API to check their usage of the AWS Free Tier. This feature is available on the AWS Command Line Interface (AWS CLI) and integrate it into applications with the AWS SDKs. With the AWS Free Tier program, users can explore and test AWS services and resources without any additional cost.

Unified Metric Consolidation with Amazon CloudWatch

Amazon CloudWatch now allows users to consolidate metrics from hybrid, multicloud, and on-premises data sources. Not only does this give users a unified view, but it also helps them to query, visualize, and alarm on any and all of the metrics, regardless of their source.

Cross-Region Data Replication for Amazon WorkSpaces

Customers can use cross-region data replication to provide business continuity for their Amazon WorkSpaces users. Snapshots are taken every 12 hours, replicated to the desired destination region, and used to provide a recovery point objective (RPO) of 12-24 hours.

Generative AI-Powered Call Summaries with Amazon Transcribe Call Analytics

Amazon Transcribe Call Analytics now offers generative artificial intelligence (AI)-powered call summarization in preview. Powered by Amazon Bedrock, this feature helps businesses improve customer experience, and agent and supervisor productivity.

Generative AI Apps with AWS Step Functions and Amazon Bedrock

AWS Step Functions has two new optimized integrations with Amazon Bedrock. The integrations are designed to help developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.

Cost Optimization Hub

AWS Billing and Cost Management now includes Cost Optimization Hub, which makes it easier for customers to identify, filter, aggregate, and quantify savings for AWS cost optimization recommendations.

Automated Pattern Analytics and Anomaly Detection with Amazon CloudWatch Logs

Amazon CloudWatch Logs now offers automated pattern analytics and anomaly detection. This helps to reduce the manual process of filtration and reviewing individual log records.

Collector for Amazon EKS with Amazon Managed Service for Prometheus

Amazon Managed Service for Prometheus collector helps to automatically and agentlessly discover and collect Prometheus metrics from Amazon Elastic Kubernetes Service (Amazon EKS).

EFS Archive for Storage Cost Optimization

EFS Archive is a new storage class for Amazon Elastic File System (Amazon EFS) optimized for long-lived data that is rarely accessed. With this launch, Amazon EFS supports three Regional storage classes: EFS Standard, EFS Infrequent Access, and now, EFS Archive.

Infrequent Access Log Class for Amazon CloudWatch

Amazon CloudWatch Logs now offers an Infrequent Access log class for infrequently accessed logs. This allows customers to consolidate all their logs in one place in a cost-effective manner.

KeyValueStore for CloudFront Functions

CloudFront Functions now offers Amazon CloudFront KeyValueStore, a low-latency datastore. This helps users to perform latency-sensitive customizations for millions of requests per second, such as modifying headers, normalizing cache keys, rewriting URLs, or authorizing requests.

At KeyCore, we provide a suite of professional and managed services to help businesses and organizations take full advantage of all AWS has to offer. We specialize in helping our clients implement new AWS services and features, while also helping them ensure that they are using the platform in the most cost-efficient way. From helping you select the right instance type to optimizing your storage costs, we have the experience and expertise to help you get the most value out of AWS. Contact us today to learn more.

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Cognitive Systems Corp. and Amazon EKS journey

Cognitive Systems Corp.

Cognitive Systems Corp. is a pioneering company in Wi-Fi sensing technology called WiFi Motion. This technology uses existing Wi-Fi signals to transform connected devices into motion sensors. It consists of a comprehensive software stack that processes and interprets both long-range and ultra-low power Wi-Fi signals. This technology is being utilized for various applications such as security, asset tracking, and retail analytics.

Amazon EKS Journey

Cognitive Systems Corp. has leveraged Amazon EKS for its Wi-Fi Sensing technology. EKS provides the scalability and flexibility that Cognitive Systems needs to deploy application workloads to its customers. It makes use of Kubernetes as the container orchestration system, and AWS Fargate for serverless container management. With this combination, Cognitive Systems can easily manage the required resources for their applications and scale the infrastructure quickly as needed.

Build Generative AI apps on Amazon ECS for SageMaker JumpStart

Generative AI

Generative AI (GenAI) is becoming increasingly popular for its ability to automate tasks and enable enterprises to innovate at scale. Despite the potential of this technology, the initial steps towards adopting GenAI can be daunting.

Amazon ECS for SageMaker JumpStart

Amazon ECS for SageMaker JumpStart is an Amazon service that simplifies the task of building and running AI applications. This service provides the necessary tools and resources to quickly build, deploy, and iterate AI-powered applications. It consists of a suite of tools and services that make it easy to develop, deploy, and manage applications in the AWS environment. Thanks to this service, developers can easily integrate their applications with AWS services such as Amazon SageMaker, Amazon Rekognition, Amazon Lex and Amazon Comprehend.


KeyCore, the leading Danish AWS consultancy, provides both professional services and managed services to help customers enhance their AI applications on Amazon ECS for SageMaker JumpStart. KeyCore’s certified AWS professionals are available to help customers develop GenAI applications and ensure their success with Amazon ECS for SageMaker JumpStart. KeyCore also has extensive experience in CloudFormation, which can be used to automate the deployment of GenAI applications. KeyCore’s professional services team can assist with the design and deployment of custom CloudFormation templates tailored to customer applications.

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AWS Smart Business Blog

Unleashing the Potential of Inventory Insights with Cloud Analytics

The retail industry is currently navigating a complex landscape of challenges, including fluctuation in customer demands, rapid technological advancements, supply chain disruptions, and the need to offer personalised experiences. According to NCR, these supply chain disruptions have led to increased inflation and other complications.

Strong Cybersecurity Measures for SMBs

Cybersecurity is an important consideration for all businesses. Contrary to popular belief, small and medium businesses are not immune to cyber incidents. Security Magazine informs us that over half of SMBs have experienced a breach, with a third taking place in the last 12 months.

Unifying Clinical Data for Health Trend Analysis

Having access to data is great, but the key is to be able to turn it into actionable insights. Unfortunately, many small and medium businesses don’t have the resources necessary for such an undertaking. This is especially true in highly regulated industries, where data management processes are complicated and restrictive.

KeyCore: Your Partner in Cloud Analytics and Cybersecurity

At KeyCore, we understand the challenges SMBs face when it comes to inventory insights, data analysis, and cybersecurity. We offer both professional and managed services and have vast experience working with AWS.

From our skilled team of AWS certified professionals, to our CloudFormation YAML, AWS API calls, and AWS SDK for JavaScript v3 knowledge, KeyCore can provide the support you need to make the most out of cloud analytics and cybersecurity.

For more information, please visit our website Here you can find out more about our services, AWS certifications, and get in touch with our team to discuss the specifics of your project.

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Official Database Blog of Amazon Web Services

Optimize Database Performance on Amazon RDS for Oracle

Amazon Relational Database Service (Amazon RDS) for Oracle provides an easy way to set up, operate, and scale a relational database in the AWS Cloud. Using Oracle Database Resource Manager (DBRM), customers can exercise more control over CPU and other resources in their Oracle databases. This feature was introduced in Oracle 8i and is available in all subsequent versions of Oracle Enterprise Edition. With DBRM, customers can prioritize CPU allocation for certain applications or users in order to have consistent performance for highly critical applications. This post will outline how to configure DBRM in Amazon RDS for Oracle and how to use Oracle Forms and Reports on Amazon RDS Custom.

Set Up Database Resource Manager in Amazon RDS for Oracle

DBRM can be used to distribute and limit the resources across high-priority web-based OLTP transactions and low-priority batch processing. It is important to note that although DBRM is installed in Amazon RDS for Oracle, it is not enabled by default. To enable the feature, customers should go to the “Parameters” tab, find the “enable_db_resource_manager” parameter, and set its value to ‘1’. After that, customers can set up DBRM according to their needs.

Use Oracle Forms and Reports on Amazon RDS Custom for Oracle

Amazon RDS Custom is a new deployment type that provides granular control capabilities and an operating system that allows customers to run third-party applications, such as Oracle Forms and Reports. Customers can access and customize the database environment to meet their requirements. Oracle Forms and Reports can be installed on the Amazon RDS Custom instance, allowing customers to use the same features in their RDS environment as in their on-premises environment.

Secure GxP Compliance by Automating the Amazon RDS Security Audit Log Export Process

Database audit logs are an important part of meeting compliance requirements, especially those related to Good Practice (GxP). By maintaining a meticulous record of user interactions, system changes, and data modifications, organizations gain valuable insights into who accessed the database, what activities were done, and when they were executed. To ensure GxP compliance, organizations can automate the process of exporting the Amazon RDS security audit log from the cloud to an on-premises environment. AWS Database Migration Service (AWS DMS) can be used for this purpose.

Configure Reverse Replication Using AWS DMS to Migrate an Oracle Database to Amazon RDS for Oracle

When migrating a database to the cloud, customers should prepare a failback plan in case the migration fails. To provide failback functionality, AWS Database Migration Service (AWS DMS) supports reverse replication, which can be used as a minimal downtime failback strategy while migrating from Oracle on-premises to Amazon RDS for Oracle. Customers can use the same AWS DMS task to migrate back to the on-premises Oracle environment should the need arise. To configure reverse replication, customers can create an AWS DMS task using the “Reverse Replication” option in the “Reverse Replication” tab of the AWS DMS console.

Optimizing database performance on Amazon RDS for Oracle can be complex and requires experience with Oracle databases, RDS, and AWS DMS. KeyCore offers professional services and managed services to help customers set up and maintain their Oracle databases on Amazon RDS. We also provide expertise in setting up Oracle Forms and Reports on Amazon RDS Custom and automating the Amazon RDS security audit log export process with AWS DMS. Our team of experts can help you get the most out of your Oracle database in the cloud.

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AWS Cloud Financial Management

AWS Cloud Financial Management

AWS provides customers with a suite of tools to help manage their cloud finances, ranging from the extended history and granular data available in Cost Explorer to the Billing and Cost Management console, and the Cost and Usage Dashboard powered by Amazon QuickSight. In this post, we’ll look at how you can leverage these tools to manage your cloud finances and explore how Coinbase built a Cloud Center of Excellence to optimize their cloud costs.

Extended History and Granular Data in Cost Explorer

Cost Explorer by default now supports 14 months of cost and usage data at daily granularity. Customers have the option to enable up to 38 months of history at a monthly granularity, and they have the option to enable 14 days of resource level data for any AWS service at daily granularity. Each of these features is offered for free.

Managing Your Cloud Finances With the Unified Billing and Cost Management Console

Today, AWS launched a unified Billing and Cost Management console to help customers manage their AWS cloud finances more easily and efficiently. The unified console includes a new home page with insights and recommendations to help customers make faster, better-informed decisions, more intuitive navigation to streamline workflows, and improved resources to help customers learn and implement Cloud Financial Management best practices.

New – Cost and Usage Dashboard

Data Exports is a new AWS Billing and Cost Management feature that enables customers to create exports of their billing and cost management data using SQL column selections and row filters. As part of this feature, customers can now also deploy a Cost and Usage Dashboard powered by Amazon QuickSight directly from the AWS Billing and Cost Management console. The Cost and Usage Dashboard uses a summary view of the AWS Cost and Usage Report 2.0 (CUR 2.0) and provides pre-built visuals to facilitate interactive analysis and sharing of cost insights.

Rightsizing Recommendation Preferences

Rightsizing recommendation preferences allows customers to adjust both CPU headroom and thresholds, configure a new 32-day lookback period option, and set instance family preferences at the organization, account, or regional level. This feature provides transparency on how the recommendations are generated and allows customers to configure EC2 rightsizing recommendations for higher savings and performance sensitivity, aligning the recommendations with their business needs.

How Coinbase Built a Cloud Center of Excellence

Coinbase is a secure online platform for buying, selling, transferring, and storing cryptocurrency. To optimize their cloud costs, Coinbase built a Cloud Center of Excellence to provide transparency into their cloud costs and identify areas for cost optimization. This included building a dashboard to monitor their cloud costs, setting up a process for approving and scheduling cloud resources, and establishing a cost optimization program to eliminate unused or underutilized resources.

How KeyCore Can Help

KeyCore is the leading Danish AWS Consultancy, providing professional services and managed services to help companies manage their cloud finances. Our team of AWS experts can help you implement the Cost and Usage Dashboard, develop a process for approving and scheduling cloud resources, and design and implement a cost optimization program to eliminate unused or underutilized resources. We also provide training and consulting services to help you learn and implement best practices in Cloud Financial Management. Contact us today to learn more about how we can help.

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AWS for Games Blog

Milestone Turbocharged ‘Hot Wheels Unleashed’ with Amazon GameLift

Game developer and publisher Milestone launched a third-person racing game based on Mattel’s Hot Wheels toy line, “Hot Wheels Unleashed”, in September 2021. It gained a dedicated following quickly and sold more than one million copies in less than three months, making it Milestone’s fastest-selling title ever. By April 2023, Milestone had sold more than three million copies across all platforms.

Milestone chose Amazon GameLift to provide the cloud infrastructure to power the game’s matchmaker and its deep analytics. This sorted players into appropriate game sessions and tracked their progress and in-game actions. This gave Milestone the performance, agility, and scalability needed to quickly match players and handle unexpected spikes in demand due to marketing campaigns or seasonal events.

KeyCore Can Help

At KeyCore, we provide AWS-based professional and managed services for game developers. Our expert team can help you choose the right cloud services for your game, and ensure that you get the best performance from them. We can advise you on the most cost-effective and efficient infrastructure setup, or even provide managed services, so you can focus on making the best game you can.

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AWS Training and Certification Blog

AWS Training and Certification: Helping APAC Get AI-Ready

Organizations and individuals from the APAC region are embracing the latest and most advanced technologies, such as artificial intelligence (AI), to improve their work and their lives. AWS Training and Certification is helping them build the necessary skills to stay on the cutting edge.

What AWS Training and Certification Offers

AWS Training and Certification provides a variety of courses, from AWS Foundations to AI/ML Specialty. Certification helps individuals and organizations demonstrate their expertise and stand out in the competitive job market. The courses offered are comprehensive, covering topics such as machine learning (ML), computer vision (CV), deep learning (DL), natural language processing (NLP), and robotics.

AWS Training and Certification also offers certification prep courses and practice exams to help individuals prepare for the certifications. The AWS Certified Solutions Architect certification is the most popular certification, and AWS Training and Certification has various prep courses to help individuals achieve it.

Building New Skills with AWS Training and Certification

Organizations and individuals are turning to AWS Training and Certification to help them stay ahead of the curve and build skills with AI and ML. With the help of AWS Training and Certification, organizations and individuals can build knowledge in areas such as computer vision, natural language processing, robotics, and MLOps.

The courses offered are comprehensive and include hands-on labs, instructor-led courses, and self-paced learning. The self-paced learning is especially helpful for individuals who are just starting out on their AI/ML journey. AWS Training and Certification also offers certification prep courses and practice exams.

How KeyCore Can Help

At KeyCore, we provide professional services and managed services across the APAC region to help organizations and individuals build the necessary skills to stay on the cutting edge. Our experienced team offers comprehensive consulting services and works with our clients to identify their needs and create solutions that drive innovation and help them succeed. Our team is knowledgeable in all areas of AWS and are happy to answer any questions or provide assistance with AWS Training and Certification.

Whether you are just starting out or looking to expand your knowledge, KeyCore is the perfect partner to help you on your AI/ML journey. Reach out to us today to learn more and see how we can help you get AI-ready.

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Official Big Data Blog of Amazon Web Services

Leverage Big Data Technologies to Build AI Applications

Large Language Models for sentiment analysis with Amazon Redshift ML (Preview)

Amazon Redshift ML is a powerful tool that enables data analysts and database developers to leverage machine learning and artificial intelligence (AI) capabilities within their data warehouse. You can use Amazon Redshift ML to create, train, and apply machine learning models through familiar SQL commands. Additionally, you can further enhance Amazon Redshift’s inferencing capabilities by leveraging your own models trained with other machine learning frameworks.

Enhance query performance using AWS Glue Data Catalog column-level statistics

The new AWS Glue Data Catalog column-level statistics capability allows you to generate statistics for AWS Glue tables. These statistics can then be integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum. By leveraging this integration, you can improve query performance and potentially reduce costs. In addition, data lakes are designed to store vast amounts of data, making column-level statistics especially beneficial for optimizing the performance of your queries.

Introducing Apache Hudi support with AWS Glue crawlers

Apache Hudi is a data lake technology that brings database and data warehouse features to data lakes. Apache Hudi helps data engineers manage complex data challenges, such as managing continuously evolving datasets, performing transactions, and maintaining query performance. Data engineers can use Apache Hudi for streaming workloads, as well as to create efficient incremental data pipelines. Apache Hudi provides tables, transactions, efficient compaction, and incremental snapshot query capabilities.

Introducing persistent buffering for Amazon OpenSearch Ingestion

Amazon OpenSearch Ingestion is a fully managed, serverless pipeline to deliver real-time log, metric, and trace data to Amazon OpenSearch Service domains and OpenSearch Serverless collections. Customers can use Amazon OpenSearch Ingestion pipelines to ingest data from a variety of data sources, both push-based and pull-based. For pull-based sources, such as Amazon Simple Storage Service (Amazon S3), Amazon OpenSearch Ingestion now offers persistent buffering. This new feature persists a buffer of data in Amazon S3, so that data is not lost due to a transient failure.

Build scalable and serverless RAG workflows with a vector engine for Amazon OpenSearch Serverless and Amazon Bedrock Claude models

Organizations are now employing generative AI applications to deliver customer-centric support systems. These applications excel in four key areas: multi-lingual support, sentiment analysis, PII detection, and conversational search. Customers can now engage with these applications in their preferred language, and the applications are capable of understanding their intent and providing accurate responses. To achieve this, you can leverage Amazon OpenSearch Serverless and Amazon Bedrock Claude models.

Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics

Data-driven companies require smooth data integration pipelines to pull data from various sources, transform it, and load it into destination systems for analytics and reporting. To ensure these pipelines are running in an efficient and reliable manner, AWS Glue now provides a new set of job observability metrics. These metrics are designed to help customers monitor and debug any issues with their AWS Glue jobs.

Introducing AWS Glue serverless Spark UI for better monitoring and troubleshooting

The AWS Glue console now contains a built-in serverless Spark UI, allowing customers to access it with a single click when examining the details of any given job run. The serverless Spark UI is a fully-managed serverless offering that starts up in a matter of seconds. This new feature significantly speeds up and simplifies the process of getting jobs working in production.

How KeyCore Can Help

At KeyCore, we are experts at leveraging big data technologies to build AI applications. Our team of experienced AWS consultants can help you set up the necessary infrastructure and pipelines, configure the AWS Glue serverless Spark UI, and optimize your data integration pipelines. We can also help you create and apply machine learning models using Amazon Redshift ML, integrate column-level statistics with your cost-based optimizers, and leverage Apache Hudi for efficient incremental data pipelines. Contact us to learn more about how we can help you build your AI applications.

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Networking & Content Delivery

Networking & Content Delivery With Amazon Web Services

Using secure and reliable cloud services from Amazon Web Services (AWS) can significantly improve the performance of web applications. In this blog post, we discuss how leveraging AWS services, such as Elastic Network Adapter (ENA) Express, Application Load Balancers (ALB) and Connection Tracking, can help improve network performance and availability.

Using ENA Express to Improve Workload Performance

ENA Express is a key technology to improve performance for applications that use conventional networking, such as databases, file systems, and media encoding. ENA Express can decrease tail latency, the period of time between the request being sent and the response being received. To demonstrate this, we can use in-memory databases and find that ENA Express can significantly reduce tail latency.

Improving Availability with Application Load Balancer Automatic Target Weights

Application Load Balancers (ALB) can help improve availability by using Automatic Target Weights (ATW). ATW provides the ability to detect and mitigate gray failures for targets behind ALB. A gray failure occurs when an ALB target passes active load balancer health checks, but still returns errors. ATW helps to detect and mitigate these gray failures by dynamically assessing the performance of each target and adjusting the weight of incoming traffic accordingly. This helps to reduce errors for users and improve the availability of applications.

Introducing Configurable Idle Timeout for Connection Tracking

Amazon EC2 provides the ability to customize idle timeouts to optimize for traffic patterns and workloads. This is done by using Conntrack Utilization Metric for EC2 instances, which is configured through a configurable idle timeout. This feature allows granular control over the traffic patterns of EC2 instances to maximize performance. It can be used for a variety of different use-cases, including reducing the amount of time active connections remain open, and increasing the amount of time inactive connections remain open.

KeyCore: Helping Companies Improve Networking & Content Delivery Performance

At KeyCore, we specialize in helping our clients get the most out of their cloud environment. Our team of experts can assist customers in leveraging AWS services, such as ENA Express, Application Load Balancers (ALB) and Connection Tracking, to improve the performance and availability of their web applications. We can help customers make the most of their cloud environment and ensure that their web applications remain secure and reliable.

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AWS for M&E Blog

Harmonic VOS360 SaaS on AWS: Drive Personalized Ad Experiences

Gone are the days of a one-size-fits-all viewer experience. Consumers have come to expect personalized experiences tailored to their unique tastes and preferences, and industries are responding with innovative solutions like Harmonic VOS360 Ad SaaS. Recently showcased on AWS, VOS360 is an end-to-end, cloud-native platform designed to help Media & Entertainment companies quickly create, manage and deploy personalized ad experiences.

VOS360: Easily Create, Manage and Deploy Personalized Ads

VOS360 is a cloud-native platform that simplifies the delivery of personalized ad experiences. With AI-driven automated video workflows, Media & Entertainment companies can quickly create, manage and deploy audio and video ads for any selected audience. VOS360 offers a full suite of capabilities that enable customers to quickly design, customize and deliver content that is tailored to the target audience, helping to maximise reach and engagement.

Ad Personalization at Scale

VOS360 simplifies ad personalization at scale. Leveraging AI-driven workflows, the platform helps Media & Entertainment companies quickly create, manage and deploy personalized ads to target audiences. By automating the ad personalization process, customers can quickly and easily customize their ads for any selected audience. This helps companies to maximize reach and engagement, as well as optimize ad performance.

How KeyCore Can Help

At KeyCore, our team of experienced AWS consultants can help Media & Entertainment companies take advantage of Harmonic VOS360 Ad SaaS. We provide both professional services and managed services to advise and guide companies through the process of deploying and managing VOS360. Our experts have extensive experience in the design, deployment and management of AWS services, and can provide tailored advice and guidance to ensure the successful adoption and implementation of VOS360.

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AWS Storage Blog

Scaling Data Access with Amazon S3 Access Grants

Adhering to the principle of least privilege, customers can improve security by granting granular access to their Amazon Simple Storage Service (Amazon S3) data, based on applications, personas, groups, or organization units (OUs). By limiting access to those who need it, customers can reduce the risk of unauthorized access and the potential damage of a security breach.

Amazon S3 Access Grants are an easy-to-use way to manage access to S3 buckets and objects. This feature combines the benefits of AWS Identity and Access Management (IAM) policies and Access Control Lists (ACLs). Access policies can provide granular permissions for specific buckets or objects, while ACLs grant access to S3 buckets or objects to IAM users, federated users, or Amazon S3 users.

Access Grants also offer a high level of scalability, making them well suited for large organizations. Customers can create a single access policy and apply it to many buckets and objects. Each policy can be assigned to multiple users, and it automatically applies to any new buckets or objects that are added. This simplifies access management in a large enterprise, as there’s no need to manually update the policies each time new data is added.

AWS users have several options for managing roles and permissions with Access Grants. They can grant access to specific buckets or objects, or they can grant access to the root of an S3 bucket. Roles and permissions can also be granted at the account level, so that all buckets and objects inherit those permissions.

The Amazon S3 Access Grants feature is a powerful tool for controlling data access in AWS. Organizations of all sizes can benefit from its scalability and granular access control. KeyCore provides professional services to help businesses set up and manage Access Grants in their AWS environment. We can help you ensure that access to data is secure and that users are able to access the data they need.

Simplify Querying Your Archive Data with Amazon Athena

Today, customers are storing data for longer periods of time in order to take advantage of its potential future value. As data grows exponentially, customers are emphasizing storage cost optimization and using cost-effective storage classes.

However, a modern data archiving strategy also involves making data easier to access. With Amazon Athena, customers can do just that. Amazon Athena is an interactive query service that allows customers to query data stored in Amazon S3 using standard SQL. It’s serverless and can process petabyte-scale data quickly and cost-effectively.

Using Amazon Athena, customers can query data stored in S3 without having to spin up a cluster in Amazon Elastic Compute Cloud (Amazon EC2). They can also set up an Amazon Athena data catalog, which makes it easier to access data from multiple sources.

Amazon Athena can also be used to query data stored in several formats, such as Apache Parquet, Apache ORC, JSON, and CSV. With Amazon Athena, customers can access their data quickly and easily, without having to set up an entire Hadoop cluster.

Amazon Athena is a convenient and cost-effective way to query archive data stored in S3. KeyCore helps businesses get the most out of Amazon Athena by providing professional services to set up and manage data query solutions. We can help you get the most out of your data and reduce storage costs.

Use Amazon FSx for Lustre to Share Amazon S3 Data Across Accounts

As cloud governance evolves, it’s increasingly common for multiple teams to work in separate AWS accounts. One team may oversee an enterprise data lake in one account while a data science team develops an HPC use case in another account. Customers want to take advantage of low-cost object storage while also being able to share data between accounts.

Amazon FSx for Lustre can help with this. It’s a file system that allows customers to quickly and easily share data stored in Amazon S3 with multiple accounts. FSx for Lustre supports typical file system operations like read, write, and delete, and it can also be modified in the same way as any other file system.

FSx for Lustre can be used to store data in Amazon S3. When used in conjunction with Amazon S3 Access Points, customers can grant granular access to their data, while still taking advantage of the cost-effectiveness of object storage.

Amazon FSx for Lustre is a powerful tool for sharing data between accounts. KeyCore can help you set up and manage an FSx for Lustre file system to ensure your data is secure and easily accessible across accounts. Our professional services will help you maximize your AWS investment and get the most out of your data.

Migrating Wasabi Object Storage to Amazon S3 with DataSync

Organizations may need to transfer a large amount of object data between cloud service providers. This could be due to data consolidation, workload migration, acquisition, or cost optimization efforts. To achieve a successful migration, several components must be in place, including comprehensive data encryption during transfer and the ability to transfer data at high speeds.

AWS DataSync can help with this. DataSync is a cloud storage transfer service that enables customers to quickly and securely move data between on-premises storage systems and Amazon Elastic Compute Cloud (Amazon EC2) or Amazon Simple Storage Service (Amazon S3). DataSync provides high-speed transfers and can also use third-party storage solutions such as Wasabi.

DataSync also offers customers several options for controlling data transfers. They can set up automated transfers to run on a schedule or select a one-time transfer. DataSync also provides customers with a wide range of security options, such as encrypting data at rest and in transit, and ensuring that data is stored in the correct location.

AWS DataSync is the perfect tool for migrating Wasabi Object Storage to S3. KeyCore provides professional services to help customers set up and manage DataSync. We can help you ensure that your data is secure and transferred quickly and easily. Contact us today to learn more.

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AWS Architecture Blog

SonarCloud on AWS: A Unified API

SonarCloud is a software-as-a-service (SaaS) product developed by Sonar, which seamlessly integrates into developers’ CI/CD workflows to increase code quality and identify vulnerabilities. SonarCloud’s cloud engineers have recently worked on modernizing the application to increase the lead time to production.

Using Domain Driven Design Principles

Adopting Domain Driven Design (DDD) principles, Sonar split the application into multiple business domains, each with its own bounded context. This allowed Sonar to independently scale each domain and better map the business logic. Sonar then used AWS AppSync to implement a unified API, which provided a structured way to access the application data and perform common tasks.

Benefits of AWS AppSync

Using AWS AppSync, Sonar can easily create, update, and delete data in the application. Additionally, this allows Sonar to quickly discover and query data across their AWS cloud environment, making it easier and faster for developers to access the data they need. With AWS AppSync, Sonar can also take advantage of other AWS services, such as Amazon Cognito for user authentication, Amazon Pinpoint for push notifications, and Amazon S3 for storage.

KeyCore’s Services for SonarCloud on AWS

Regardless of the complexity of the task, KeyCore can help make your transition to AWS AppSync as seamless as possible. Our experienced team of certified AWS engineers can help you develop, deploy, and manage a secure and reliable AWS environment. In addition, we can help you develop custom AWS AppSync applications that are tailored to your specific business needs. To learn more about our services, please visit our website at

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AWS Partner Network (APN) Blog

AWS Partner Network Blog: Best Practices for Running Amazon RDS Custom with Oracle EBS

Amazon RDS makes it easy to set up, operate, and scale relational databases within AWS, but legacy applications like Oracle E-Business Suite (EBS) require customization of database environments not supported by RDS. To help customers transition to Amazon RDS Custom for Oracle, Navisite has created best practices and advice for setup and management.

Tips for Setting Up and Managing Amazon RDS Custom for Oracle

Navisite recommends customers use Amazon RDS for Oracle to standardize configurations, streamline processes, and reduce management costs. It also helps to integrate Amazon RDS Custom for Oracle with existing automation and orchestration tools. To make sure that resources are optimized for running Oracle EBS workloads, Navisite suggests customers take the following steps:

  • Ensure that the Oracle version, patch level, and hardware support the application.
  • Configure the database environment to match the application’s requirements.
  • Virtualize the database and its underlying infrastructure.
  • Make sure to create redundancy to ensure availability and reliability.
  • Identify and define the proper operational processes.
  • Monitor the environment to verify performance and maintain SLAs.

Navisite also recommends customers plan and deploy Amazon RDS Custom for Oracle by using the five “R”s of migration:

  • Reassess Application & Data Portfolio
  • Re-platform the Database
  • Re-engineer the Application
  • Re-architect the Database
  • Re-factor the Application
The Role of AWS, STMicroelectronics, and LACROIX in Edge AI

The rise of IoT has brought a proliferation of connected devices, with more convenience and efficiency for enterprise and end users. AWS is collaborating with STMicroelectronics, a leading microcontroller manufacturer, and LACROIX, a leader in smart city solutions, to simplify Edge AI adoption. STMicroelectronics provides microcontrollers that are pivotal to deploying and running AI at the edge, while LACROIX is helping customers utilize the data generated by these microcontrollers. Together, the three partners are making edge computing commercially viable for use cases across industries.

Getting the Most Out of Slalom’s Sports Fan Engagement Data Platform Accelerator

Sports organizations possess a vast amount of data about fans which can be used to generate actionable insights. The ability to send personalized marketing to fans increases satisfaction and loyalty while enabling the team to cross-sell and drive revenue. Slalom’s fan engagement data platform accelerator ingests and presents fan data in a centralized layer and empowers organizations to focus on segmentation and insight. The platform is based upon Slalom’s experience with a Premier League football club.

Capgemini’s Lifecycle Optimization for Aerospace

Capgemini developed a solution called Lifecycle Optimization for Aerospace which aims to accelerate adoption of circular economy practices within the aviation industry. Built on AWS, it analyzes parts documentation and inspection processes, allowing optimization of its lifecycle by turning unstructured usage data into digital assets. This helps simplify the complex analytical task of aircraft’s operational maintenance.

Cost Efficiency and Consistent Performance with Zesty Disk

Dynamically adjusting infrastructure capacity based on usage fluctuations allows you to gain operational and cost benefits. Zesty Disk helps achieve greater cost efficiency and consistent performance when managing Amazon EBS volumes, and can optimize storage at run time without adding complexity or being exposed to data on the disk. Zesty Disk’s auto-scaling technology eliminates the need for manual adjustments, streamlining operations and reducing the cognitive load for developers.

KeyCore and AWS Services

KeyCore, the leading Danish AWS Consultancy, provides professional and managed services to help customers with Amazon RDS Custom for Oracle, along with other AWS services to simplify Edge AI adoption. KeyCore can help with setting up and managing Amazon RDS Custom for Oracle, designing and building Microcontroller based solutions, and developing fan engagement data platforms. Additionally, KeyCore has the expertise to integrate Amazon RDS Custom for Oracle with existing automation and orchestration tools, and build solutions on AWS for the aviation industry. For more information, check out the KeyCore website.

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AWS Cloud Operations & Migrations Blog

How to Achieve Operational Excellence and Modernization with AWS

Continuously optimizing your operational excellence posture is essential for modernizing your workloads in the cloud. AWS Trusted Advisor provides best practice checks in the categories of cost optimization, performance, resilience, security, service limits, and operational excellence. Following the AWS Well-Architected Framework and using AWS Trusted Advisor will help you remediate any deviations from AWS best practices.

Disaster Recovery (DR) Failover to the Disconnected Edge

Many enterprises rely on AWS to host their infrastructure and mission critical workloads due to the inherent advantages of cloud computing, but this could be a challenge for enterprises operating from remote areas at an increased risk to lose external network connectivity. To ensure reliability in these cases, leveraging AWS Elastic Disaster Recovery to replicate the servers, such as Amazon EC2 instances, can help recover application servers in the case of a disaster. Orchestrating this replication process with Puppet automation can help simplify the process and make it more scalable.

Driving the Discussion Around Carbon Footprint Reduction

87% of business leaders expect to increase their organization’s investment in sustainability over the next two years. IT teams can start the conversation with business leaders about reducing carbon footprint by leveraging cloud computing and migrate workloads to the cloud. Amazon CloudWatch can help provide real-time monitoring, alerts, and visualization of the environment for greater observability. Additionally, Amazon CodeWhisperer’s generative AI capabilities can help create custom dashboard widgets to provide further insight.

Managing AWS Multi-Account Environments

Independent software vendors may have diverse workloads, and a flexible and customizable multi-account setup is needed to run their software. Account Factory for Terraform (AFT) can help manage these multi-account environments by helping organizations deploy multi-account environments, maintain accounts, and configure SSO. AFT also works with other AWS services like AWS Organizations, AWS Single Sign-On, and AWS Control Tower.

Improving Mergers & Acquisitions Due Diligence with AWS Audit Manager

AWS Audit Manager can support Mergers & Acquisitions (M&A) Due Diligence by enabling compliance and risk assessments during technical due diligence. It can help stakeholders, such as practitioners that support diligence, integration, corporate development (CorpDev), technology/IT, auditing, and advisory activities during due diligence, to achieve greater visibility and better insights into their environment. Additionally, leveraging AWS managed open-source services, such as Kiali, and Istio service mesh can provide improved observability into microservices environments.

Achieving Domain Consistency in Event-driven Architectures

Modernizing applications from monoliths to microservices can help improve scalability and agility for modern applications. However, distributed systems may introduce complexity when troubleshooting issues across services on different machines. To address this, AWS Audit Manager can help achieve domain consistency for event-driven architectures. AWS automation capabilities can also help accelerate modernization outcomes and reduce operational overhead.

KeyCore Can Help You Achieve Operational Excellence and Modernization with AWS

At KeyCore, we are highly advanced in AWS and can help you with modernizing your workloads to the cloud. We provide professional and managed services to help with your IT needs and can provide guidance as you leverage AWS Trusted Advisor, AWS Well-Architected Framework, AWS Elastic Disaster Recovery, Puppet automation, Amazon CloudWatch, Amazon CodeWhisper, AWS Audit Manager, AWS automation capabilities, and more to achieve operational excellence and modernization. Contact us today to learn more.

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AWS for Industries

AWS for Industries

Fidelity International Improves Customer Experience Using Amazon SageMaker

Many companies want to leverage advanced analytics to improve operational efficiency and customer experience. Automating and migrating to cloud-based MLOps techniques can help streamline ML processes, improve data processing, and enhance operational efficiency—leading to cost savings compared to on-premises solutions. However, for Fidelity International, one of the world’s largest asset management companies, the challenge was deploying and managing the environment to make the MLOps model a reality.

Fidelity International adopted Amazon SageMaker and Amazon Managed Workflows for Apache Airflow, which enabled them to leverage serverless MLOps. This helped them create a cost-effective and scalable MLOps platform that helped them automate, manage, and track each step of the ML model lifecycle. With Amazon SageMaker, Fidelity International was able to simplify the ML environment, provide transparency on model performance, and improve the model’s productivity.

Advertising Week New York 2023’s Key Generative AI Takeaways

Generative AI has become a popular tool in the advertising and marketing industry thanks to its ability to create new content and ideas. According to a recent estimate, by the close of 2025 three of every ten outbound marketing messages from enterprises will be generated by AI. During Advertising Week New York 2023, the key takeaways were focused on how companies can leverage generative AI to better understand their customers, create insightful content, and personalize customer experiences.

For example, AI-enabled natural language processing (NLP) can help companies develop a deeper understanding of customer sentiment, while AI-generated visuals can help create more engaging experiences. Additionally, data-driven creative solutions can help companies create more personalized experiences that are tailored to customer needs. Companies can also use generative AI to automate the content creation process, resulting in a more efficient and cost-effective approach.

Genentech Sustainably Generates a Large Dataset on AWS to Advance Machine Learning-Based Research on a Potential New Drug Modality

Genentech, a biotechnology company that is a member of the Roche Group, is dedicated to researching and developing life-changing medicines. To further their research on a potential new drug modality, the company needed to generate a large dataset. By leveraging AWS, Genentech was able to generate a dataset of unprecedented size in a sustainable manner that allowed the team to advance their research.

Using Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), and Amazon SageMaker, Genentech was able to automate the dataset generation process. This enabled them to quickly and efficiently generate a large and diverse dataset that provided the team with valuable insights into the potential new drug modality. The team was also able to monitor the progress of the dataset generation process using Amazon CloudWatch and Amazon CloudTrail to ensure data accuracy and security.

Accelerate Connected Vehicle Deployment with the Connected Mobility Solution on AWS

AWS has recently announced some major improvements to their Connected Mobility Solution (CMS), including the addition of an Automotive Cloud Developer Portal (ACDP). These advancements provide many DevOps features, deployment tools like Cloud Formation and Cloud Developer Kit (CDK), as well as new plugins and metrics to help enhance the development and operational oversight of Connected Vehicle Platforms.

With the Connected Mobility Solution, companies can accelerate their connected vehicle deployments by quickly and securely connecting vehicles to the cloud, allowing for more efficient fleet management and analytics. The solution is also designed to help companies manage the complexity of connected vehicles by providing insights on the performance, reliability, and user experience of the vehicles. Companies can also use the solution to gain real-time insights into the performance of their vehicles and make data-driven decisions to optimize their fleets.

AWS Clean Rooms: Privacy-Enhanced Collaboration Use Cases

Data collaboration is becoming increasingly important for many companies. AWS Clean Rooms are a powerful privacy-enhanced collaboration tool that enables companies of all sizes and in all industries to securely combine their data with their partners’ to gain a holistic view of their customers or business.

AWS Clean Rooms provide a secure, private, and compliant environment for companies to collaborate, allowing them to control who has access to the data and how it is used. Companies can also use the Clean Rooms to ensure that their data is not exposed to unintended or unauthorized users, and that the data remains compliant with regulations, such as the EU’s General Data Protection Regulation (GDPR).

How Payment Companies Are Building SoftPOS Solutions on AWS

In order to enable micro-merchants to use electronic payments, payment companies are developing software point-of-sale (SoftPOS) solutions. SoftPOS is a software-based solution that transforms NFC-enabled smartphones into a contactless payment terminal. This provides an easy-to-use and cost-effective alternative to dedicated card machines and POS systems.

AWS provides the infrastructure and tools that enable payment companies to build SoftPOS solutions quickly and securely. This includes services like Amazon Cognito, which provides user authentication and access control, and Amazon API Gateway, which provides a secure way to connect the SoftPOS solution to other AWS services. Payment companies can also leverage AWS Lambda to provide serverless compute for the SoftPOS solution, and Amazon S3 to store and manage payment data securely.

Enable Analytics and Insights for Telecom Networks

Telecom networks generate a large amount of fault, configuration, accounting, performance, and security (FCAPS) data. Communication Service Providers (CSPs) need to leverage this data efficiently to improve the network health and reduce the Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR). AWS can help CSPs increase their service uptime, reduce spectrum interference, and reduce operational costs associated with managing telecom networks.

AWS provides the services and tools necessary to enable analytics and insights for telecom networks. This includes services like Amazon Kinesis, which allows CSPs to ingest and process streaming data in real-time, and Amazon SageMaker, which can be used for model training and inference. Additionally, AWS offers services such as Amazon Athena, which allows CSPs to query data stored in Amazon S3, and Amazon QuickSight, which provides an interactive data visualization tool.

At KeyCore, our AWS experts are experienced in helping CSPs leverage AWS services to enable analytics and insights for their telecom networks. Our team of experts can help you build a secure, cost-effective, and scalable solution for managing your telecom network. We also provide ongoing support and maintenance to ensure that your system is running smoothly and efficiently. Contact us today to learn more about how KeyCore can help you.

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AWS Marketplace

Real-Time Recommendation Engine with Amazon MSK and Rockset

With the increasing demand for personalized recommendations in the market, businesses are looking for ways to build real-time recommendation engines that can give customers immediate feedback and suggestions. To meet this need, Amazon MSK and Rockset provide the necessary tools to build a real-time product recommendation engine.

Amazon MSK for Streaming Capabilities

Amazon MSK is a fully managed streaming platform that provides the ability to build and manage streaming applications. It enables customers to scale up and down as needed, set up multiple streaming topologies with different throughput requirements, and capture streaming data from different sources. With Amazon MSK, customers can build real-time streaming applications without worrying about the underlying infrastructure.

Rockset for Real-Time Analytics and SQL

Rockset is a real-time analytics platform that enables customers to query streaming data with SQL. It provides a fully managed distributed database that runs on top of Apache Lucene, which enables customers to analyze streaming data in real-time. With Rockset, customers can quickly build and deploy applications that can support complex analytics, such as product recommendation engines.

KeyCore’s Expertise in Building Real-Time Recommendation Engines

At KeyCore, we have the expertise and experience to help you build and manage real-time recommendation engines using Amazon MSK and Rockset. Our team of highly skilled engineers is well-versed in the latest technologies, and can provide tailored solutions that meet your specific requirements.

We provide both professional services and managed services. Our professional services include consulting, development, and maintenance services. With our managed services, we can provide full end-to-end support, including 24/7 monitoring and maintenance.

To learn more about KeyCore and our offerings, please visit

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

The Latest in AWS Security, Identity, and Compliance Launches and How-To Posts

How to Use the BatchGetSecretsValue API to Improve Client-Side Applications with AWS Secrets Manager

AWS Secrets Manager is a service that helps users manage, retrieve, and rotate database credentials, application credentials, OAuth tokens, API keys, and other secrets throughout their lifecycles. The BatchGetSecretsValue API can be used to help remove hard-coded credentials in application source code and store them in Secrets Manager, which helps to avoid unintended or inadvertent access. KeyCore provides consulting services to assist with the implementation of the BatchGetSecretsValue API, as well as managed services for keeping it running securely and efficiently.

How to Use the PassRole Permission with IAM Roles

The iam:PassRole permission allows an IAM principal to delegate or pass permissions to an AWS service by configuring a resource such as an Amazon Elastic Compute Cloud (Amazon EC2) instance or AWS Lambda function with an IAM role. The service then uses that role to interact with AWS services. KeyCore provides consulting services to assist with the implementation of the PassRole permission, as well as managed services for keeping it running securely and efficiently.

Upcoming Improvements to the AWS Sign-In Experience

Starting in mid-2024, Amazon Web Services (AWS) will introduce a series of UI improvements to the AWS sign-in pages, with an emphasis on revamping the UI of the root and AWS Identity and Access Management (IAM) user sign-in page and switch role page. KeyCore provides consulting services to assist with the implementation of the UI improvements, as well as managed services for keeping it running securely and efficiently.

AWS Security Profile: Chris Betz, CISO of AWS

In the AWS Security Profile series, we feature the people who work in Amazon Web Services (AWS) Security and help keep customers safe and secure. In this interview, Chris Betz, Chief Information Security Officer (CISO) of AWS since August of 2023, shares how he got his start in security and what he does as CISO of AWS. KeyCore provides consulting services to assist with the implementation of the security protocols and processes, as well as managed services for keeping them running securely and efficiently.

How to Use Multiple Instances of AWS IAM Identity Center

Recently, AWS launched a new feature that allows deployment of account instances of AWS IAM Identity Center. This allows for two types of IAM Identity Center instances: organization instances and account instances. KeyCore provides consulting services to assist with the implementation of the multiple instances of AWS IAM Identity Center, as well as managed services for keeping it running securely and efficiently.

AWS Achieves SNI 27001 Certification for the AWS Asia Pacific (Jakarta) Region

Amazon Web Services (AWS) has achieved its first Standar Nasional Indonesia (SNI) certification for the AWS Asia Pacific (Jakarta) Region in Indonesia. SNI is the Indonesian National Standard, and it comprises a set of standards that are nationally applicable in Indonesia. KeyCore provides consulting services to assist with the implementation of the SNI certification, as well as managed services for keeping it running securely and efficiently.

Establishing a Data Perimeter on AWS: Require Services to be Created Only Within Expected Networks

This fifth post in the Establishing a data perimeter on AWS series discussed how a set of preventative guardrails can create an always-on boundary to help ensure that trusted identities are accessing trusted resources over expected networks. KeyCore provides consulting services to assist with the implementation of the data perimeter, as well as managed services for keeping it running securely and efficiently.

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AWS Startups Blog

Scaling Machine Learning Workloads with Amazon EKS

Cloud computing has enabled startups to quickly and cost-effectively scale machine learning (ML) workloads. AWS Startups partners with startups to help them build their businesses on Amazon Elastic Kubernetes Service (Amazon EKS). In this article, we look at how Snorkel AI achieved over 40% cost savings by scaling their ML workloads with Amazon EKS.

Benefits of using Amazon EKS

Amazon EKS provides a fully managed, secure, and highly available environment for running Kubernetes applications. With Amazon EKS, developers can quickly and easily launch, scale, and manage Kubernetes applications in the cloud. Additionally, Amazon EKS provides fine-grained access controls, automated provisioning and patching, integration with other AWS services, and improved scalability.

How Snorkel AI Used Amazon EKS to Achieve Cost Savings

Snorkel AI, a machine learning startup, needed a way to quickly and cost-effectively scale their ML workloads. They decided to use Amazon EKS, and were able to quickly launch and manage Kubernetes applications in the cloud. Additionally, they were able to benefit from fine-grained access controls, automated provisioning and patching, and integration with other AWS services. As a result, Snorkel AI was able to achieve over 40% cost savings.

KeyCore Can Help

At KeyCore, we provide both professional services and managed services for startups that need to quickly and cost-effectively scale their ML workloads. Our team of AWS certified experts have years of experience working with Amazon EKS, and can help you launch, manage, and scale Kubernetes applications. We can also help you gain access to fine-grained access controls, automated provisioning and patching, and integration with other AWS services. Contact us today to learn more about how KeyCore can help you achieve cost savings with Amazon EKS.

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Front-End Web & Mobile

A Look at the Next Generation of AWS Amplify’s Fullstack Development Experience

AWS Amplify recently released a public preview of their new code-first developer experience. This allows frontend developers to quickly build and deploy fullstack apps with their existing TypeScript and JavaScript skills. This new release is the second generation of the Amplify tooling, transitioning from a tooling-first experience using a CLI/Console-based interactive workflow to create a backend.

Support for Hosting Any SSR App on AWS Amplify

AWS Amplify also announced the general availability of a new deployment specification that enables developers and frontend framework authors to deploy fully managed server-side rendering (SSR) applications on AWS Amplify Hosting. With this, Amplify Hosting’s SSR capabilities are now available to all frameworks. Developers and framework authors can follow documented conventions to deploy their applications.

Advantages of AWS Amplify

By harnessing the power of AWS Amplify, developers can build full stack applications quickly and easily. All necessary backend services are available with a few clicks in the Amplify Console, and developers can use their existing TypeScript and JavaScript knowledge to create frontend applications. Additionally, the new deployment specification for Amplify Hosting makes it easier than ever for developers to deploy server-side rendering applications.

KeyCore Solutions for Fullstack Development

At KeyCore, we provide professional and managed services for all aspects of development and deployment on the AWS platform. Our team of experts can help developers take advantage of the powerful capabilities of AWS Amplify while ensuring that their applications are secure and comply with all necessary standards. KeyCore can also help developers get the most out of their SSR applications, providing guidance on optimization and best practices.

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Innovating in the Public Sector

Public Sector Innovations Powered by AWS

34 New or Updated Datasets on the Registry of Open Data on AWS

AWS recently released 34 new or updated datasets on the Register of Open Data, featuring a range of datasets from public sector organizations around the world. These open datasets offer a variety of possibilities for creative development. From healthcare to public safety to transportation, there’s something for everyone. With these datasets, developers can build data-driven applications that improve operations and reduce costs for governments and public sector organizations. KeyCore can help their clients make the most of these datasets with their extensive experience in AWS cloud computing, data analysis and software engineering.

Alteia and the World Bank Assess Road Infrastructure Data Quality at Scale on AWS

The World Bank is utilizing the power of AWS and Alteia data analytics to assess road infrastructure faster and at less cost. By leveraging geospatial imagery, satellite imagery and other data available on the Registry of Open Data on AWS, the World Bank is able to easily access the data they need, reduce costs and enhance the quality of their road infrastructure data. With KeyCore’s experience in AWS cloud computing and data analysis, they can help their customers take advantage of the power of Alteia and the Registry of Open Data on AWS for their own projects.

BriBooks Uses Generative AI to Improve Children’s Creative Writing Using AWS

EdTech startup, BriBooks, is leveraging the power of generative AI to help children with creative writing. Generative AI has the potential to revolutionize the way we learn and teach by providing tools and assistance to support and inspire creativity and expression. AWS is powering this effort by providing the computing power and storage needed to make generative AI available to everyone. With KeyCore’s expertise in AWS cloud computing, they can help their clients take full advantage of generative AI and increase their creative capacity.

re:Invent 2023: A Public Sector Guide

The AWS re:Invent conference returns to Las Vegas on November 27th, and there will be plenty of great sessions and activities for public sector professionals. To make the most of the experience, we’ve put together a guide to some of the public sector-focused activities. KeyCore can help public sector professionals get the most out of their re:Invent experience with their extensive knowledge and experience in AWS and cloud computing.

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