Summary of AWS blogs for the week of monday Mon Dec 09

In the week of Mon Dec 09 2024 AWS published 90 blog posts – here is an overview of what happened.

Topics Covered

AWS for SAP

In the continuation of the series on configuring Amazon Simple Email Service (SES) for SAP ABAP systems, this article focuses on facilitating inbound emails from external recipients to SAP users. The previous part covered the outbound email process, ensuring SAP systems can effectively communicate with external entities. Understanding both inbound and outbound email communication is crucial for maintaining robust and effective SAP operations within the AWS ecosystem.

Amazon Simple Email Service (SES)

Amazon SES is a scalable and cost-effective email service suitable for sending both transactional and marketing emails. It facilitates reliable email reception by integrating with other AWS services, which is critical for SAP environments requiring dependable email communication channels. Implementing SES for inbound emails allows SAP users to receive messages from external sources, enhancing business workflows and communication strategies.

AWS Lambda and CloudWatch Logs

Utilizing AWS Lambda, this configuration enables the processing and routing of inbound emails. Lambda functions can be triggered upon email receipt, allowing for the execution of custom logic to determine the appropriate handling within the SAP system. CloudWatch Logs are used to monitor the Lambda functions, providing insights and alerts for any anomalies or issues that occur during email processing. This integration ensures seamless operation and continuity in email handling processes.

Business Value

Ensuring SAP systems can handle inbound and outbound emails effectively streamlines communication with clients, vendors, and internal stakeholders. It reduces manual intervention, enhances user productivity, and leverages automation for better resource utilization. This configuration supports business processes by providing reliable and scalable email handling capabilities within the SAP landscape.

How KeyCore Can Help

KeyCore offers specialized services to optimize SAP deployments on AWS, including configurations for Amazon SES. Our experts can help design, implement, and manage your SAP email workflows, ensuring they meet your specific business needs. We provide end-to-end support, from initial setup to ongoing management, ensuring your SAP systems are fully integrated and operationally efficient within the AWS environment. Leverage our expertise to enhance your SAP infrastructure and maximize the value of your cloud investments.

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Official Machine Learning Blog of Amazon Web Services

Advanced Ensemble Models with Amazon SageMaker Pipelines

Ensemble models are becoming increasingly popular due to their ability to provide more accurate predictions by combining the predictions of multiple models. With Amazon SageMaker Pipelines, developers can create an end-to-end ML pipeline for training and deploying ensemble models efficiently. This framework enhances the accuracy and reproducibility of models while maintaining operational efficiency. The article showcases a detailed example of how an ensemble model is trained and deployed using the Pipelines feature in Amazon SageMaker.

Enhancing Multi-User Experience with SageMaker HyperPod

The implementation of load balancing across login nodes in Slurm-based HyperPod clusters significantly improves multi-user experiences. By distributing user activity evenly across nodes, the system ensures consistent performance and optimal resource utilization. The article offers a comprehensive guide on setting up load balancing within HyperPod clusters, thereby enhancing the user experience with consistent performance and smoother operation.

Clearwater Analytics and Generative AI with SageMaker JumpStart

Clearwater Analytics is leveraging generative AI and Amazon SageMaker to revolutionize investment management. By harnessing more than 18 years of domain experience and optimizing model cost and performance, Clearwater Analytics is using large language models (LLMs) to enhance their operations. The post provides an in-depth look into their architecture and how SageMaker JumpStart facilitates their generative AI initiatives.

Twitch’s RAG Workflow for Enhanced Ad Sales

Amazon Twitch has utilized Retrieval Augmented Generation (RAG) on Amazon Bedrock to empower their ads sales team. By implementing a RAG pipeline within a Slack chat-based assistant, Twitch’s sales team can swiftly act on new sales opportunities. This innovation showcases the potential of agentic workflows and knowledge bases in driving business success and operational efficiency.

Accelerating Cancer Biomarker Analysis with Amazon Bedrock Agents

Amazon Bedrock’s multi-agent collaboration capabilities enhance complex business workflows. The article demonstrates how agentic workflows can expedite cancer biomarker analysis by integrating multiple specialized agents. These agents, ranging from biomarker database analysts to medical imaging experts, collaborate seamlessly to address complex tasks in cancer research, thereby building trust with end users through advanced self-review and planning capabilities.

Streamlining ML Lifecycle with Amazon SageMaker Python SDK

ModelTrainer Enhancements

The newly launched ModelTrainer class in the Amazon SageMaker Python SDK simplifies the training experience, offering significant improvements over the Estimator class. The tutorial demonstrates how to execute distributed training using custom scripts or containers, highlighting the class’s ability to streamline the training process.

ModelBuilder Enhancements

The follow-up post discusses the enhancements to the ModelBuilder class, which allows seamless deployment of models from ModelTrainer to a SageMaker endpoint. This integration provides a uniform interface for various deployment configurations, simplifying the entire ML lifecycle for developers.

Customization and Governance in Amazon Q Apps

Amazon Q Apps has introduced new features that enhance customization and governance capabilities. This includes custom labels, verified apps, private sharing, and data collection apps, making Amazon Q Apps more accessible to enterprise customers. These advancements are pivotal in expanding the applicability of Q Apps across diverse business scenarios.

Advanced Features of Amazon Q Business

Tabular Search Capabilities

Amazon Q Business now supports a tabular search feature, enabling users to extract answers from tables embedded in documents. This built-in feature requires no additional setup and operates seamlessly across various domains, making information retrieval more efficient.

Field Advisor for Customer Engagement

The AI-powered sales assistant, Field Advisor, integrated into AWS’s CRM system and Slack application, has greatly enhanced customer engagement. This innovative tool has facilitated millions of interactions, demonstrating the effectiveness of AI in streamlining sales and marketing operations.

Discovering Insights with Amazon Aurora PostgreSQL and Amazon Q Business

The integration of Amazon Q for Business with Aurora PostgreSQL-Compatible databases enables teams across organizations to quickly obtain accurate answers to their queries. This seamless connection allows users to leverage the power of Q Business in analyzing and drawing insights from their database content easily.

Innovative Use of AWS Generative AI Services

Tealium’s Chatbot Evaluation Platform

In collaboration with AWS Generative AI Innovation Center, Tealium has developed a chatbot evaluation platform. This platform automates the evaluation and improvement of RAG systems using the Ragas Repository and Auto-Instruct techniques, showcasing the potential of AI in automating and refining interactions.

EBSCOlearning’s AI-Driven Assessment Generation

EBSCOlearning partnered with AWS to transform their learning assessment processes using generative AI. This partnership addressed challenges in traditional QA generation, demonstrating the role of AI in revolutionizing educational content delivery and assessment.

Introducing Pixtral 12B on Amazon SageMaker JumpStart

The Pixtral 12B vision language model from Mistral AI is now available on Amazon SageMaker JumpStart. This model excels in both text-only and multimodal tasks and can be deployed with a single click. The article guides users through deploying and using Pixtral 12B for various vision use cases, emphasizing its real-world applicability and ease of use.

Multimodal Foundation Models on Amazon Bedrock

The series on multimodal foundation models explores the use of Amazon Titan and Anthropic’s Claude 3 Sonnet. The comparison across different approaches highlights their accuracy and pricing, providing valuable insights for businesses considering the implementation of multimodal AI solutions.

Maximizing Productivity with Amazon Q Business Plugins

Amazon Q Business plugins enhance employee productivity by providing access to real-time data from various enterprise applications. This feature allows for automation and dynamic data retrieval, further solidifying Amazon Q Business’s role as a powerful generative AI assistant in the workplace.

Secure ML Experimentation with AWS PrivateLink and MLflow on SageMaker

With support for AWS PrivateLink and MLflow, Amazon SageMaker offers a secure way to experiment with and select machine learning models. This integration addresses the need for secure and seamless ML experimentation, allowing users to leverage a wide range of generative AI foundation models effectively.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers professional and managed services that can help organizations harness the full potential of AWS’s machine learning and AI capabilities. From building and deploying advanced ensemble models with SageMaker Pipelines to ensuring secure ML experimentation with AWS PrivateLink, KeyCore’s expertise ensures that businesses can maximize their AWS investments. By leveraging our deep knowledge and experience, organizations can innovate faster and more securely, aligning AWS technologies with their unique business objectives. Visit our website to learn more about how KeyCore can support your AWS journey.

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Announcements, Updates, and Launches

Introduction to Second-Generation FPGA-Powered Amazon EC2 Instances (F2)

Amazon Web Services (AWS) has unveiled its second-generation FPGA-powered Amazon EC2 instances, known as F2 instances. These instances are designed to provide enhanced computational power and flexibility, significantly improving performance for specific workloads.

Performance and Capabilities

The F2 instances are engineered to accelerate a wide range of applications, including genomics, multimedia processing, big data analytics, and networking tasks. With up to 192 virtual CPUs (vCPUs), 8 Field Programmable Gate Arrays (FPGAs), and 2TiB of memory, these instances offer substantial resources. Moreover, they provide a network bandwidth of up to 100Gbps, ensuring rapid data transfer capabilities. This configuration allows F2 instances to outperform traditional CPU-based solutions by as much as 95 times, especially in compute-intensive scenarios.

Use Cases and Advantages

F2 instances are particularly beneficial for industries requiring large-scale data processing and real-time analytics. In genomics, for example, the accelerated processing can significantly reduce the time needed for sequencing and analysis. Similarly, multimedia applications can benefit from faster encoding and rendering times. The high bandwidth and computational power also make F2 instances an ideal choice for big data platforms and advanced networking solutions.

Business Value and Cost Efficiency

By integrating FPGA technology, AWS provides businesses with a powerful tool to optimize performance while maintaining cost-efficiency. These instances enable organizations to handle complex workloads that demand high processing power without the need for costly, specialized hardware. This flexibility allows businesses to scale their operations seamlessly and meet their computational needs effectively.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to assist businesses in leveraging the power of F2 instances. Our expertise in AWS solutions enables us to tailor these advanced computational resources to fit specific industry requirements. Whether it’s deploying F2 instances for genomics research, multimedia processing, or big data analytics, KeyCore provides both professional and managed services to maximize the benefits of AWS’s cutting-edge offerings.

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Containers

Migrating from x86 to AWS Graviton on Amazon EKS is a step-by-step guide authored by experts from Personio and AWS. This migration strategy focuses on leveraging AWS Graviton processors for Amazon Elastic Kubernetes Service (Amazon EKS) nodes, providing enhanced performance and cost efficiency. The authors outline a practical approach to transition workloads using Karpenter, a Kubernetes cluster autoscaler, to automate node provisioning and optimize resource utilization.

Understanding the Benefits of AWS Graviton

AWS Graviton processors offer significant improvements in terms of performance per dollar compared to traditional x86 instances. By utilizing Graviton-based Amazon Elastic Compute Cloud (Amazon EC2) instances, organizations can realize reductions in costs while simultaneously improving compute performance for their applications. This is particularly beneficial for workloads on Amazon EKS, where scalability and efficiency are paramount.

Migration Strategy with Karpenter

The migration process begins with setting up Karpenter to manage and scale the EKS cluster nodes. The guide details how Karpenter can dynamically launch the most cost-effective and performant nodes by utilizing Graviton instances. By analyzing workload characteristics and cluster usage patterns, Karpenter adjusts resources in real time, ensuring optimal deployment configurations.

Technical Considerations and Best Practices

Implementing a seamless migration involves evaluating compatibility and performance metrics of Graviton processors for existing applications. Developers are encouraged to conduct benchmark testing and refine their CI/CD pipelines to support multi-architecture builds. Additionally, container images should be optimized to leverage Arm architecture, ensuring smooth transitions and enhanced application performance.

Business Value of Transitioning to Graviton

Transitioning to Graviton can lead to substantial cost savings and improved application performance, providing enterprises with a competitive advantage. As the demand for scalable, efficient cloud infrastructure grows, adopting Graviton processors enables organizations to harness state-of-the-art technology, reducing operational expenses while enhancing service delivery.

How KeyCore Can Assist

KeyCore, as a leading AWS Consultancy, offers specialized services to facilitate the migration process to AWS Graviton. Our team provides in-depth assessments, tailored strategies, and implementation support to ensure a seamless transition. By partnering with KeyCore, organizations gain access to expert guidance, ensuring their EKS environments are optimized for performance and cost-efficiency with AWS Graviton.

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AWS Quantum Technologies Blog

In recent developments within quantum computing, notable advancements have been made, particularly through collaborative challenges and innovative algorithms. These breakthroughs are paving the way for enhanced applications in various industries.

Airbus-BMW Quantum Computing Challenge Winners

The Airbus and BMW Group Quantum Computing Challenge has recently concluded with the announcement of five winning teams. These teams were recognized at the Q2B conference held in Silicon Valley, California. The competition focused on developing quantum computing solutions for critical applications in the aviation and automotive sectors. Participants were tasked with leveraging quantum technologies to address complex industry challenges. The collaborative efforts of the winners demonstrate significant potential for quantum computing to revolutionize these sectors by optimizing processes and enhancing operational efficiencies.

Quantum Pruning with iCBS

Fidelity and AWS have jointly developed a groundbreaking pruning algorithm named the Combinatorial Brain Surgeon (iCBS). This algorithm is designed to enhance the performance of large-scale AI models, particularly large language and vision models. The iCBS operates through block coordinate descent, which is a method for optimizing complex systems by breaking them into smaller, more manageable parts. This approach significantly improves model efficiency and effectiveness, providing a robust solution for managing the ever-growing complexity of AI systems. The collaboration between Fidelity and AWS showcases the potential for quantum-amenable methods to transform AI model optimization.

How KeyCore Can Assist

At KeyCore, we understand the complexities and potential of quantum computing and AI systems. Our expertise in AWS technologies places us in a unique position to help organizations implement these innovative solutions. Whether you are looking to explore quantum computing applications in your industry or optimize your AI models with cutting-edge algorithms, KeyCore offers professional and managed services tailored to meet your needs. Visit our website to learn more about how we can help drive your technological transformation.

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Official Database Blog of Amazon Web Services

Designing a Recovery and Validation Framework with AWS DMS

The Amazon TimeHub team developed a robust recovery and validation framework for their data replication process using AWS Database Migration Service (DMS). Key to this framework is the ability to validate data accuracy during migration. Once a full table load is completed, AWS DMS begins comparing source and target data, ensuring integrity throughout ongoing replication. This custom approach leverages AWS DMS validation tasks, providing an extra layer of assurance in data replication projects.

Handling Disruptions in AWS DMS CDC Task

Facing challenges with AWS DMS during Oracle database failovers, particularly when resetting logs (RESETLOGS), the Amazon TimeHub team implemented solutions for better resilience. When logs are reset in Oracle, AWS DMS struggles with reading new logs from a new incarnation. The team crafted a detection and recovery strategy to manage this, ensuring that data discrepancies are identified and corrected post-failover. This approach highlights the importance of proactive monitoring and validation in maintaining data consistency across platforms.

Ensuring Resiliency and High Availability in Data Replication

Building a resilient data replication framework was a core focus for the Amazon TimeHub team. Using AWS DMS, they efficiently replicated data from Oracle to Amazon Aurora PostgreSQL-Compatible Edition. By addressing potential points of failure in the source, AWS DMS, and target databases, they ensured ongoing replication remained stable and reliable. This framework demonstrates the ability to maintain high availability and resilience, critical factors for modern data operations.

Benefits of Physical Replication in Amazon RDS for PostgreSQL

Physical replication in Amazon RDS for PostgreSQL Blue/Green Deployments offers significant advantages over logical replication. It is particularly beneficial for minor version upgrades, schema changes, and storage adjustments. The article outlines how this approach simplifies operations, enabling seamless scaling with evolving application demands. A step-by-step guide is provided to help users implement this replication method, emphasizing its practical benefits and efficiency gains.

Joining Amazon RDS for Db2 Instances Across Accounts

Amazon RDS for Db2 now supports user authentication across multiple accounts with a single AWS Microsoft Active Directory (AD). This setup facilitates seamless authentication with or without Kerberos, leveraging AWS Managed Microsoft AD. The post demonstrates how to configure this setup, enabling centralized domain management and reducing administrative overhead, ultimately enhancing security and simplifying cross-account access.

Optimizing Amazon DynamoDB for Cost and Performance

Flo Health successfully optimized Amazon DynamoDB to support 70 million monthly active users while achieving a 60% cost efficiency. By implementing best practices for data modeling, partitioning, and indexing, they maintained high performance and scalability. This case study underscores the importance of strategic resource management in cloud environments, offering insights into achieving significant cost savings without compromising on user experience.

Restoring Amazon DynamoDB Tables with Zero Downtime

Restoring Amazon DynamoDB tables while capturing data changes is crucial for maintaining application continuity. This solution automates the Point-in-Time Recovery (PITR) process, ensuring minimal downtime during restoration by managing ongoing data changes. This practice enables efficient recovery with seamless transition back to the restored table, highlighting the importance of automation in disaster recovery planning.

Best Practices for Amazon RDS for Oracle Maintenance

To streamline maintenance activities in Amazon RDS for Oracle, understanding best practices is essential. This post consolidates key maintenance tasks, providing actionable insights to enhance database performance and longevity. By adopting these practices, database administrators can ensure optimal operation, reducing downtime and potential issues associated with maintenance activities.

Improving Failover Time with RDS Proxy

Using RDS Proxy with Amazon RDS Multi-AZ deployments significantly reduces planned failover time. By continuously monitoring both primary and standby instances, RDS Proxy eliminates DNS propagation delays, ensuring faster failover response. This enhancement maximizes availability during failovers, maintaining seamless connection settings for client applications and improving overall reliability.

Migrating On-Premises SQL Server Databases to Amazon Aurora

Firmex transitioned 65,000 on-premises Microsoft SQL Server databases to an Amazon Aurora PostgreSQL-Compatible cluster using AWS Schema Conversion Tool (SCT) and AWS DMS. This migration strategy highlights the benefits of moving to a scalable and flexible database solution in the cloud. Key challenges and solutions are discussed, offering a roadmap for organizations considering similar migrations to enhance their data infrastructure.

How KeyCore Can Assist

KeyCore specializes in providing tailored AWS solutions, including database migration and optimization strategies. Our team of AWS experts can assist in designing robust, resilient frameworks for data replication and recovery, ensuring high availability and performance. Whether optimizing cost efficiency in DynamoDB or orchestrating complex cross-account setups with RDS, KeyCore delivers comprehensive support to align with your business goals. Learn more about how our services can elevate your AWS infrastructure by visiting KeyCore.

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AWS for Games Blog

In the dynamic world of gaming, feedback is crucial for continuous improvement. Generative AI has emerged as a valuable tool for analyzing game reviews, offering game developers, studios, and publishers a deeper understanding of player and press feedback.

Insights from Generative AI

Professional game reviewers provide expert insights on technical aspects and design elements of games, while players share practical feedback based on their real-world experiences. This dual perspective allows developers to refine gameplay mechanics and address any issues. However, synthesizing this vast amount of feedback can be challenging.

Generative AI can streamline this process by categorizing and analyzing the feedback, highlighting common themes and sentiments. This enables developers to focus on the most critical areas for improvement, enhancing game quality and player satisfaction.

Challenges and Solutions

One of the main obstacles in analyzing game reviews is the diversity of feedback sources and the subjective nature of the comments. Generative AI helps by providing a structured analysis, identifying key performance indicators (KPIs) and potential game updates. This approach not only saves time but also provides an objective basis for decision-making.

By leveraging AI capabilities, game creators can maintain competitive advantage and respond promptly to player needs, ensuring long-term engagement and loyalty.

Amazon GameLift’s Reduced Pricing

To further support game developers, AWS has announced reduced pricing for Amazon GameLift across 22 regions. Amazon GameLift is a managed service that simplifies the hosting of multiplayer game servers, allowing developers to concentrate on creating immersive gaming experiences without infrastructure worries.

Benefits of Amazon GameLift

Amazon GameLift offers global scalability and high performance, essential for delivering uninterrupted gaming experiences to players worldwide. The reduced pricing enhances its appeal by making it more cost-effective for game studios of all sizes.

This change allows developers to allocate more resources to game development and innovation rather than server management. It ensures that players enjoy seamless gameplay, free from latency and downtime issues.

How KeyCore Can Assist

As a leading AWS consultancy, KeyCore specializes in both professional and managed services. KeyCore can help game developers integrate generative AI for review analysis and optimize their use of Amazon GameLift. By leveraging KeyCore’s expertise, developers can ensure efficient resource management and focus on creating outstanding player experiences.

KeyCore’s team offers tailored solutions to address specific business needs, ensuring that developers maximize the benefits of AWS services. Whether it’s deploying scalable game servers or harnessing AI for better insights, KeyCore provides the support needed for success in the competitive gaming industry.

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AWS Training and Certification Blog

In December 2024, AWS Training and Certification introduced a variety of new learning resources to enhance cloud education experiences. Among these, nine new digital training products were launched on AWS Skill Builder. These include five AWS Builder Labs, a new AWS Jam, and an AWS Digital Classroom course. The AWS Jam is particularly noteworthy as it focuses on troubleshooting AWS Web Development issues in a gamified environment, offering learners an engaging way to enhance their problem-solving skills.

Another significant addition is the AWS Learning Assistant for AWS Builder Labs. This AI-powered, chat-based tool is designed to elevate the self-paced learning experience. It provides real-time responses and insights to learners, making the learning process more interactive and efficient. By integrating AI into their training offerings, AWS continues to lead in providing innovative and effective learning solutions for cloud professionals.

Additionally, AWS showcased their commitment to AI and Machine Learning education through the announcement of AWS AI Skills Champions. During AWS re:Invent, organizations that excelled in certifying their staff in AI/ML skills were honored. A special reception was held at the AWS Certification Lounge where AWS AI Skills Champion Trophies were awarded. These organizations are recognized as AWS AI Certification Early Adopters, highlighting their dedication to advancing in the field of AI.

Both initiatives reflect AWS’s ongoing efforts to expand the cloud skillset of individuals and organizations, preparing them for the future of technology. These educational advancements not only support personal career growth but also enable businesses to harness the full potential of artificial intelligence and machine learning.

KeyCore, as Denmark’s leading AWS consultancy, can assist organizations in navigating these new educational offerings. Whether it involves leveraging the AI-powered AWS Learning Assistant or achieving AI/ML certification, KeyCore provides expert guidance and support. Our team can help tailor training pathways that align with business goals, ensuring that organizations can maximize the benefits of AWS’s latest educational tools.

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Microsoft Workloads on AWS

Automating the synchronization of user identities from Microsoft Active Directory (AD) to AWS IAM Identity Center can significantly streamline identity management processes within organizations. This process is facilitated by the System for Cross-domain Identity Management (SCIM) protocol, which enables seamless provisioning and deprovisioning of users and groups across different platforms.

Introduction to SCIM Provisioning

Many organizations use Microsoft AD as a centralized system for managing user identities. However, integrating AD with cloud services like AWS often requires a robust solution to ensure accurate and timely user data synchronization. SCIM is a standard protocol designed to simplify user identity management across domains by automating the exchange of user information.

Custom Solution for Automation

The blog post outlines a custom solution to automate the provisioning process from AD to AWS IAM Identity Center. This involves deploying a SCIM connector that serves as a bridge between AD and AWS. The solution leverages AWS services such as Lambda for running code in response to defined triggers, and API Gateway for creating RESTful APIs, which facilitates communication between the systems.

Deployment and Configuration

To deploy this solution, several AWS services need to be configured. This includes setting up an IAM role with the necessary permissions, implementing Lambda functions to handle provisioning logic, and configuring the API Gateway to serve as the endpoint for SCIM requests. Once deployed, this setup ensures that any changes in AD user data are automatically reflected in AWS IAM Identity Center.

Business Value of Automated Provisioning

Automating the provisioning process enhances operational efficiency by reducing manual intervention, minimizing errors, and ensuring compliance with security policies. It allows IT departments to focus on strategic initiatives rather than routine administrative tasks, ultimately leading to improved productivity and cost savings.

How KeyCore Can Assist

KeyCore specializes in AWS solutions, offering both professional and managed services to help organizations implement and optimize identity management workflows. Our team can assist in designing and deploying a tailored SCIM provisioning solution, ensuring seamless integration with existing infrastructure and maximizing the benefits of AWS services. Visit KeyCore to learn more about how we can support your organization’s cloud journey.

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Official Big Data Blog of Amazon Web Services

Building End-to-End Data Lineage with Amazon Athena, Amazon Redshift, Amazon Neptune, and dbt

This article explores how to build comprehensive data lineage for both one-time and complex queries using Amazon Athena, Amazon Redshift, and Amazon Neptune, all orchestrated through dbt (data build tool). By leveraging dbt, users can standardize data modeling across Athena and Redshift. dbt on Athena caters to real-time query needs, while Redshift is optimized for handling more complex queries. This standardization reduces the learning curve, providing a unified development language. It also facilitates automatic generation of data lineage, ensuring adaptability to data structure changes, making it an efficient solution for dynamic data environments.

Accelerating Amazon Redshift Secure Data Use with Satori

The second part of this series delves deeper into how Satori enhances data security in Amazon Redshift. As an Amazon Redshift Ready partner, Satori simplifies both user data access and administrative data management. It supports just-in-time and self-service access, streamlining the process of granting and revoking data permissions. By implementing Satori, organizations can achieve a more secure and user-friendly data access environment, promoting efficient data usage and security management in Amazon Redshift.

Amazon SageMaker Unified Studio: An Integrated Data and AI Experience

Amazon SageMaker Unified Studio, currently in preview, offers an integrated development environment for data analytics and AI. It enables seamless discovery and utilization of data using familiar AWS tools to complete full development workflows. This includes data analysis, processing, model training, and generative AI application building, all within a single governed environment. SageMaker Unified Studio simplifies and unifies analytic workloads, providing a streamlined experience for data scientists and developers.

Running Apache Spark Structured Streaming on Amazon EMR Serverless

Amazon EMR Serverless provides a groundbreaking solution for running Apache Spark Structured Streaming jobs at scale. It supports the latest open-source frameworks, eliminating the need for complex cluster management. This post highlights enhancements for streaming jobs, emphasizing user-friendly scalability and performance. Amazon EMR Serverless enables organizations to manage large-scale streaming workloads efficiently, removing traditional infrastructure constraints.

Federating to Amazon Redshift Query Editor with Microsoft Entra ID

This article guides readers through federating into AWS using Microsoft Entra ID and AWS Identity and Access Management (IAM). It focuses on restricting dataset access based on Active Directory group permissions. The setup process ensures seamless connectivity to the Redshift Query Editor with precise data access permissions enforced. Utilizing Microsoft Entra ID groups, the integration enhances Redshift’s security and access management capabilities.

Maintaining Data Quality with Apache Iceberg and AWS Glue

Exploring the Write-Audit-Publish (WAP) pattern, this post demonstrates strategies for ensuring data quality during ingestion into Apache Iceberg tables. Using AWS Glue Data Quality and Iceberg branching, two common strategies are discussed to verify published data quality. This approach ensures robust data management by auditing and publishing only verified data, enhancing the integrity of data pipelines using Apache Iceberg.

Implementing Historical Record Lookup and SCD Type-2 with Apache Iceberg

This article presents a method for managing historical records and implementing Slowly Changing Dimensions (SCD) Type-2 with Apache Iceberg. This technique creates new records for each data change, preserving the history within tables. By adopting this approach, users can effectively manage historical records in a typical Change Data Capture (CDC) architecture, ensuring a comprehensive data history is maintained.

How KeyCore Can Assist

KeyCore’s expertise in AWS allows us to offer tailored solutions and services to enhance data management and security. We can assist organizations in implementing data lineage with dbt, optimizing secure data access with Satori, and integrating SageMaker Unified Studio into existing workflows. Our team can guide your organization in leveraging Apache Spark on EMR Serverless, federating access with Microsoft Entra ID, and implementing robust data quality strategies with Apache Iceberg. Partnering with KeyCore ensures your data initiatives are strategically aligned with AWS best practices.

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Networking & Content Delivery

AWS PrivateLink offers a secure method for sharing and accessing services across VPCs and accounts by keeping all traffic within the AWS network. Traditionally, AWS PrivateLink facilitated communication within the same region. However, AWS has now introduced cross-region connectivity, allowing users to securely connect services across different AWS regions. This enhancement simplifies the process of building multi-region applications by ensuring seamless communication between services across geographical boundaries.

From a business standpoint, cross-region connectivity allows organizations to expand their services globally while maintaining performance and security standards. This feature is particularly beneficial for businesses with a distributed customer base, as it mitigates latency issues and enhances user experience across different regions.

With the integration of DNS-over-HTTPS (DoH) in Amazon Route 53 Resolver endpoints, customers can now encrypt DNS queries. This integration enhances security by ensuring that DNS queries and responses are encrypted, protecting them from potential interception or manipulation. DoH is particularly useful for organizations with hybrid infrastructure, allowing them to securely resolve DNS queries between their on-premises environment and AWS.

The ability to encrypt DNS queries directly impacts an organization’s security posture by reducing the risk of DNS spoofing and eavesdropping. Encrypting DNS traffic aligns with best practices for data protection and compliance, making it a crucial feature for businesses that prioritize data security.

Understanding AWS data transfer services is essential for building secure and reliable applications, yet the complexity of these services can be daunting due to the abstracted nature of the underlying security and performance mechanisms. A new series aims to unravel these complexities, providing users with clear insights into what AWS data transfer services offer in terms of security, availability, and latency management.

For businesses, having a thorough understanding of AWS data transfer services can lead to optimized application performance and cost management. By demystifying these services, organizations can better plan their cloud architectures to align with their operational goals while ensuring high availability and low latency in their applications.

KeyCore’s expertise in AWS can significantly aid businesses in implementing these advanced features. With a deep understanding of AWS networking services, KeyCore can assist in deploying cross-region connectivity solutions, integrating DNS-over-HTTPS for secure DNS operations, and optimizing AWS data transfer services. By partnering with KeyCore, organizations ensure that they leverage the full potential of AWS’s networking capabilities, enhancing both their global reach and security posture.

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AWS Compute Blog

Implementing Backup for AWS Outposts Servers

AWS Outposts servers are highly versatile, providing fully managed AWS infrastructure, services, and tools directly to on-premises or edge locations. They are ideal for environments with space constraints or small capacity needs, such as retail stores, healthcare facilities, and factory floors. This flexibility makes them a valuable asset for organizations looking to integrate AWS capabilities into their existing infrastructure.

To ensure continuity and data protection, implementing a robust backup strategy for workloads running on AWS Outposts is critical. The process involves utilizing AWS Backup, a fully managed backup service designed to centralize and automate data protection across AWS services. By tailoring backup policies to fit specific operational requirements, organizations can safeguard their data against potential disruptions.

Additionally, leveraging the AWS Outposts API enables seamless integration with existing data management solutions, allowing for consistent and reliable backup processes. This API-driven approach ensures that backups are not only systematic but also adhere to compliance standards and best practices.

How KeyCore Can Help

KeyCore offers expertise in designing and implementing effective backup strategies for AWS Outposts. Our team can assist in configuring AWS Backup policies, integrating third-party solutions, and ensuring compliance with industry standards, thus providing a comprehensive approach to data protection for your hybrid cloud environment.

Accelerate AWS Graviton Adoption with the Savings Dashboard

AWS Graviton processors are designed to combine cost efficiency with high performance, making them an attractive choice for modern cloud workloads. These custom-built CPUs by AWS are tailored for optimized computing experiences, enhancing both speed and cost-effectiveness.

The AWS Graviton Savings Dashboard is an essential tool for organizations aiming to transition to Graviton-based infrastructure. It provides insights into potential savings and performance benefits, enabling informed decision-making. By analyzing usage patterns and cost metrics, businesses can identify opportunities to optimize their infrastructure.

Utilizing the dashboard, companies can streamline their Graviton adoption, ensuring that transitions are both smooth and beneficial. This tool not only highlights fiscal advantages but also helps in aligning cloud strategies with business objectives.

How KeyCore Can Help

At KeyCore, we specialize in guiding organizations through the Graviton adoption process. Our services include cost-benefit analysis, performance benchmarking, and migration strategy development, ensuring that clients maximize the benefits of AWS Graviton processors while achieving their operational goals.

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AWS for M&E Blog

Media Localization Pipeline with Voice Synthesis and Lip Synchronization

Media localization has evolved with advancements in technology, enabling businesses to reach global audiences more efficiently. Traditional localization methods required labor-intensive processes like translation, voice acting, and cultural adaptation, often resulting in significant time and financial investment. However, recent innovations have introduced automated solutions that can create realistic dubbed voices and synchronize lip movements across different languages seamlessly.

These cutting-edge tools help businesses expand into new markets by making content more accessible and relatable to diverse audiences. By implementing automated voice synthesis and lip-syncing technologies, companies can accelerate their localization processes, offering a compelling and culturally adapted experience to viewers worldwide. This transformation is particularly significant in our hyper-connected world, where businesses compete on a global stage to capture audience attention and expand their market presence.

F1 Revs Up Race Day Broadcasts with Real-Time Data Storytelling

Formula 1® (F1) has always been about speed and precision, both on the racetrack and in the broadcast control room. The dynamic nature of race day demands quick thinking and efficient storytelling to engage viewers. Enhanced story identification tools help production teams craft immersive fan experiences by capturing the essence of the race in real-time. These tools allow broadcasters to relay impactful stories that capture the thrill and drama of the race, keeping viewers engaged and informed.

Real-time data storytelling in F1 broadcasts ensures that fans receive a comprehensive view of the action, from the overtakes and pit stops to the strategies unfolding on the track. By integrating advanced data analytics, F1 enhances the viewing experience, offering fans a deeper understanding of the race dynamics and the competitive spirit of the teams and drivers they support.

Blur Studio’s Secret Level Unlocks Cloud Rendering with AWS

Blur Studio’s “Secret Level” marks a groundbreaking venture in adult-animation, combining innovative storytelling with cutting-edge cloud rendering technologies. As an anthology series created by Tim Miller, known for “LOVE, DEATH + ROBOTS,” “Secret Level” delves into the worlds of iconic video games through original, captivating narratives. This series celebrates both games and gamers, pushing creative boundaries.

By leveraging AWS’s cloud rendering capabilities, Blur Studio enhances production efficiency, allowing for high-quality animation with reduced infrastructure costs. Cloud rendering empowers creative teams to focus on storytelling, as they can access scalable computing resources effortlessly. This transformative use of cloud technology in animation paves the way for more innovative and visually stunning content, highlighting AWS’s role as a key enabler in modern entertainment production.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, offers tailored solutions to help businesses harness the power of AWS for media and entertainment applications. Whether it’s setting up automated media localization pipelines, optimizing real-time data storytelling for broadcasts, or implementing cloud rendering workflows, KeyCore provides expert guidance and support. Our professional and managed services ensure that your AWS infrastructure is efficient, scalable, and aligned with your business goals, enabling you to deliver world-class media experiences.

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Integration & Automation

Policy as Code (PaC) is an essential practice for organizations aiming to enhance security and streamline operations in their AWS environment. This approach involves codifying policies to integrate them directly into the software development lifecycle, ensuring consistent application and compliance across all levels of infrastructure and services. By adopting PaC, organizations can significantly improve their security posture, as policies are automatically enforced and validated during the deployment process.

Getting started with PaC involves understanding the key concepts and processes necessary to incorporate these practices into your existing workflows. Initially, organizations need to define clear policies that align with their compliance requirements and operational goals. These policies are then expressed in code, allowing for automation and integration into CI/CD pipelines. The use of tools such as AWS CloudFormation Guard or Open Policy Agent can facilitate this process by providing the necessary framework for defining and enforcing policies.

Implementing PaC not only enhances security but also improves consistency in service usage across different AWS accounts and teams. By embedding policies in code, organizations can reduce the potential for human error, minimize rework, and ensure that all workloads deployed to AWS adhere to the required governance standards. This leads to a more efficient development process and helps prevent costly security breaches or compliance issues.

At KeyCore, we offer expertise in integrating policy as code practices within your AWS infrastructure. Our team can help you define, implement, and manage your policies effectively, ensuring seamless integration into your existing development processes. With our guidance, your organization can achieve greater security, operational efficiency, and compliance across your AWS environment, allowing you to focus on innovation and growth.

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AWS Storage Blog

Building a Managed Transactional Data Lake with Amazon S3 Tables

Organizations are increasingly leveraging Apache Iceberg to manage their expanding datasets due to its robust support for ACID transactions, enabling frequent updates and deletions while maintaining transactional consistency. Apache Iceberg transforms data lakes into managed transactional platforms, ensuring strong data reliability and consistency. However, scaling Apache Iceberg efficiently requires strategic maintenance and management to maximize its capabilities.

Key strategies include optimizing storage schemas and partitioning to minimize data scans and improving query performance. Implementing data compaction techniques and leveraging AWS Glue for efficient data processing enhances system performance. Additionally, setting up lifecycle policies in Amazon S3 can automate data management, ensuring that only relevant data is retained over time.

At KeyCore, we understand the complexities involved in managing transactional data lakes using Apache Iceberg. Our expertise in AWS services can assist organizations in architecting scalable, efficient data lakes, and implementing best practices to harness the full potential of Apache Iceberg.

Uncovering Performance Insights with Amazon EBS Detailed Performance Statistics

For businesses reliant on latency-sensitive applications, understanding and resolving performance bottlenecks is crucial. Amazon Elastic Block Store (EBS) provides detailed performance statistics that offer insights into storage performance, directly impacting application efficiency and user experience. By leveraging these insights, organizations can improve application reliability and scalability while enhancing the user experience.

Detailed performance metrics from Amazon EBS allow organizations to monitor key performance indicators such as IOPS, throughput, and latency. These insights help identify and resolve performance bottlenecks promptly, ensuring optimal application operation. Additionally, incorporating Amazon CloudWatch can automate performance monitoring, providing real-time alerts and dashboards for quick decision-making.

KeyCore can help organizations implement comprehensive performance monitoring solutions using Amazon EBS and CloudWatch. Our experts can guide in setting up customized monitoring dashboards and alert systems, enabling businesses to maintain high availability and performance for their critical applications.

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AWS Partner Network (APN) Blog

Accelerate Migrations to AWS with Tech Mahindra and AWS Application Migration Service

Tech Mahindra, in collaboration with AWS Professional Services, successfully migrated a global eCommerce application to AWS over one weekend. This seamless transition was facilitated by leveraging the AWS Application Migration Service. By collaborating effectively, these teams ensured minimal disruption and maximum efficiency in the migration process. This illustrates the capability of AWS services to handle complex migrations with speed and reliability, offering customers the benefits of cloud scalability and resilience.

Securing Amazon Bedrock and Amazon SageMaker with Orca Security

As AI technologies become integral to various industries, securing these systems is paramount. Orca Security provides comprehensive strategies to protect AI models from threats like model poisoning and data breaches. By integrating sound security measures, organizations can mitigate risks and safeguard sensitive data, ensuring the integrity and reliability of AI-driven processes. This underscores the importance of robust security frameworks in AI deployments.

Quartz Atlas AI for Drug Discovery

Deloitte, an AWS Premier Tier Services Partner, has developed Quartz Atlas AI™, an AI-powered platform that enhances pharmaceutical research. By utilizing AWS services like Amazon Neptune and Amazon ECS, Atlas AI offers a scalable, secure solution for drug discovery. This platform connects diverse datasets and provides actionable insights, potentially reducing the time and cost of bringing new drugs to market. Deloitte’s combination of industry knowledge and AWS technology exemplifies the potential for innovation in drug discovery.

Navigating the Cloud Journey: How Modernization GPS Unlocks Business Value Leveraging AI

Accenture and AWS have developed Modernization GPS to assist enterprises in cloud modernization. This solution provides data-driven insights into existing technology infrastructure, helping to identify modernization opportunities and potential value creation. By aligning business and IT strategies, organizations can effectively navigate their cloud journey and maximize cloud adoption benefits. This approach leverages industry benchmarks and AWS modernization pathways for comprehensive guidance.

Using Miro to enable collaborative DevOps on AWS

Miro serves as an innovative workspace that supports AWS cloud architects and DevOps teams in accelerating cloud transformations. With built-in AI tools, Miro facilitates architecture design, agile development, and client engagement. Its AWS-specific resources enable processes like well-architected reviews and architecture visualization, supporting collaborative efforts across distributed teams. This integration enhances the efficiency and effectiveness of cloud transformation initiatives.

Scale Your AWS Environment Securely with HashiCorp Terraform and Sentinel Policy as Code

HashiCorp has announced the public beta of pre-written Sentinel policies for AWS at re:Invent 2024. These policies offer AWS customers the advantage of policy as code without the need to create their own from scratch. This release simplifies compliance and governance in AWS environments, enabling secure scaling and operational efficiency. By integrating Sentinel policies, organizations can benefit from automated and consistent policy enforcement.

Driving Business Growth with GreenTomato’s Data and Machine Learning Strategy on Generative AI

GreenTomato is harnessing Generative AI to transform data engagement and insight extraction. By implementing Retrieval-Augmented Generation (RAG), they enhance the accuracy and context of data outputs. This comprehensive strategy, from data management to RAG application, empowers organizations to leverage their datasets effectively. GreenTomato’s approach represents a strategic pathway for businesses looking to adopt advanced AI technologies for substantial growth and innovation.

How KeyCore Can Help

KeyCore offers expertise in AWS migrations and security implementations, ensuring seamless transitions and robust protections for your cloud applications. As the leading Danish AWS Consultancy, KeyCore leverages AWS services and partner solutions like Orca Security and HashiCorp Terraform to optimize cloud operations. We can provide tailored solutions that align with business goals, facilitate innovation in areas like AI and DevOps, and support secure and efficient AWS environment scaling. Visit our website to learn more about how we can assist in your cloud journey.

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AWS HPC Blog

Unlock Large-Scale Autonomous Driving Simulations with IPG on AWS

The integration of large-scale autonomous vehicle (AV) and advanced driver-assistance systems (ADAS) simulations can be complex due to the interdependent nature of vehicle systems. AWS Batch offers a solution with its multi-container features, enabling efficient simulation management using the IPG CarMaker simulator. This capability allows the simulation of various scenarios necessary for developing and testing AV/ADAS technologies.

AWS Batch manages the workload efficiently, scaling the necessary compute resources to meet the demands of large simulations. This is particularly advantageous in testing complex interactions within vehicle systems. The platform’s multi-container feature facilitates the execution of various simulation components in parallel, optimizing both time and resource usage.

By leveraging AWS infrastructure, organizations can overcome the computational challenges inherent in large-scale AV simulations. This approach ensures that simulations are not only large in scale but also precise and reliable, which is critical for advancing autonomous driving technologies.

Transforming Research with AWS Batch at Balyasny Asset Management

Balyasny Asset Management (BAM), a prominent global investment firm managing $22 billion, faced the challenge of enhancing the research capabilities of its 160 investment teams. To address this, BAM harnessed AWS Batch alongside Amazon Elastic Kubernetes Service (EKS) to empower their teams with robust computational resources.

By utilizing AWS Batch, BAM transformed its research infrastructure, allowing teams to process large datasets and run complex models efficiently. The integration with Amazon EKS provided the flexibility needed for diverse research methodologies across six different strategies. This setup facilitated an agile research environment, enabling rapid hypothesis testing and data analysis.

The transition to AWS infrastructure has been instrumental in enhancing BAM’s research output. Teams can now focus more on innovation and insights rather than the constraints of computational resources, ultimately leading to more informed investment decisions and competitive advantage in the market.

KeyCore’s Expertise in AWS HPC Solutions

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance in harnessing AWS services for high-performance computing (HPC) needs. Whether integrating AWS Batch for autonomous driving simulations or transforming research capabilities with Amazon EKS, KeyCore provides tailored solutions to meet specific business objectives. With a deep understanding of AWS’s computational capabilities, KeyCore can design, implement, and manage complex HPC environments, ensuring optimal performance and cost-efficiency.

Our professional services team can assist in deploying and optimizing AWS Batch for large-scale simulations, while our managed services ensure ongoing support and enhancements. By partnering with KeyCore, organizations can achieve seamless integration and leverage AWS’s full potential for their HPC needs.

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AWS Cloud Operations Blog

In the realm of AWS Cloud Operations, several solutions and integrations are essential for managing infrastructure, enhancing security, optimizing costs, and streamlining account management. The following articles provide insights into leveraging these services for efficient cloud operations.

Integrating Terraform with Landing Zone Accelerator on AWS

Utilizing HashiCorp Terraform alongside AWS Control Tower and Landing Zone Accelerator (LZA) enables robust management of AWS application infrastructure. LZA lays a cloud foundation that adheres to AWS best practices, facilitating global scalability and compliance. By integrating Terraform, organizations can automate infrastructure provisioning and management, ensuring consistency and reducing human error. This approach enhances operational efficiency, allowing for seamless scaling and adaptation to evolving business needs.

Enhancing Security with Amazon Managed Grafana

Security remains a top priority at AWS, and gaining insights into infrastructure security posture is critical. Amazon Managed Grafana provides centralized monitoring and visualization of security findings, making it easier to detect and respond to threats in near real-time. By maintaining a focus on the principle of least privilege, organizations can minimize potential vulnerabilities. This service helps integrate security monitoring into daily operations, improving the ability to respond swiftly to security incidents.

Cost Optimization with AWS Managed Services

As cloud adoption grows, managing costs while maintaining operational efficiency becomes a challenge. AWS Managed Services offer a solution that aligns with the AWS Well-Architected Cost Optimization pillar. These services provide a structure for efficient cloud expense management, enabling organizations to optimize costs without sacrificing performance. Leveraging AWS Managed Services facilitates the hosting of diverse workloads with varying cost structures, helping businesses stay within budget constraints while maximizing resource utilization.

Streamlining Account Management with ServiceNow and AWS Control Tower

AWS Control Tower simplifies the creation and management of secure, multi-account AWS environments. For tailored setups, AWS Control Tower Account Factory for Terraform (AFT) offers a customizable solution. By integrating ServiceNow with AFT, businesses can automate account provisioning and management via a Terraform pipeline. This integration enhances the ability to customize accounts according to specific organizational needs, streamlining operations and reducing manual intervention.

KeyCore can assist with implementing these AWS solutions effectively. Their expertise ensures seamless integration and management, aligning with strategic business goals. Whether it’s leveraging Terraform for infrastructure management, enhancing security with Grafana, optimizing costs with managed services, or streamlining account management, KeyCore provides tailored solutions to maximize AWS capabilities.

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AWS for Industries

Deploy Infrastructure for Telecom Workloads in an Air-Gapped AWS Environment

Cloud solutions empower enterprises by virtualizing infrastructure, enabling the management of essential functions for service delivery. These functions, when stripped from hardware dependencies, operate as cloud-native or virtual functions on a standardized platform. This approach not only streamlines operations but also enhances flexibility and scalability. By deploying telecom workloads in air-gapped AWS environments, organizations can ensure secure and efficient operations, even in isolated network settings.

Traeger’s Innovative Marketing with Headless CMS on AWS and Amplience

Traeger, a leader in the evolution of cooking technology, leverages AWS and Amplience’s Headless CMS to revolutionize its marketing strategies. By adopting this technology, Traeger has improved its content management capabilities, enabling more dynamic and personalized customer interactions. This digital transformation highlights how embracing cutting-edge technology can significantly enhance brand engagement and operational efficiency, providing a modern twist to traditional marketing approaches.

Healthcare and Life Sciences Innovations from AWS re:Invent 2024

At AWS re:Invent 2024, the healthcare and life sciences sectors unveiled groundbreaking advancements in generative AI and machine learning. These innovations are set to revolutionize medical research, patient care, and scientific discovery. By leveraging AWS’s robust toolset, industry professionals can overcome complex challenges, driving progress in healthcare and life sciences. This represents a pivotal shift towards more personalized and efficient healthcare solutions.

Building a Sheltered Harbor Compliant Data Vault on AWS

AWS, as the first Cloud Service Provider in the Sheltered Harbor Alliance Partner Program, offers a unique architecture for building data vaults that comply with Sheltered Harbor standards. This architecture, utilizing native AWS services, provides financial institutions with a resilient and secure solution for data protection. Ensuring data integrity and security is paramount in the financial sector, and AWS’s infrastructure meets these critical needs with robust reliability.

Health eCareers: AI-Driven Job Search Transformation with AWS

Health eCareers is transforming the healthcare job search landscape using AI-driven solutions on AWS. By integrating advanced AI technologies, Health eCareers enhances job matching efficiency, making the process faster and more intuitive for users. This innovation underscores the potential of AI in creating smarter, more effective job search experiences, benefiting both job seekers and employers in the healthcare industry.

Siemens’ Decarbonization Business Optimizer on AWS for Net-Zero Facilities

Siemens Financial Services addresses the complexity of decarbonizing facilities with the Decarbonization Business Optimizer, powered by AWS. This initiative is crucial for SMEs aiming to transition to net-zero operations, aligning with global emissions targets like The Paris Agreement. By leveraging AWS’s capabilities, Siemens offers a comprehensive toolset for sustainability transformations, supporting businesses in their journey towards reduced carbon footprints and enhanced environmental responsibility.

Gamified Diabetes Education for Children with Amazon Bedrock

Amazon Bedrock utilizes generative AI to enhance diabetes education games for children, making learning both engaging and informative. By personalizing these educational tools, children can better understand diabetes management through interactive and fun experiences. This innovative approach not only educates but also empowers children to take an active role in their health, showcasing the transformative potential of AI in healthcare education.

Migrating and Archiving Data for ADAS Workloads on AWS

The processing of data for autonomous driving and ADAS requires rapid handling of complex workloads. AWS provides the necessary infrastructure to manage tasks such as object detection, lane detection, and sensor fusion efficiently. By leveraging AWS’s capabilities, organizations can ensure real-time data processing, crucial for enabling safe and effective autonomous vehicle operations. This infrastructure supports the evolving needs of the automotive industry, offering scalability and reliability.

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AWS Messaging & Targeting Blog

In the evolving landscape of cloud migration, organizations are faced with increasing complexity in managing email security and delivery. One powerful solution to address these challenges is the combination of Amazon Simple Email Service (SES) and Proofpoint Secure Email Relay (SER). Leveraging these tools allows businesses to effectively modernize their email sending processes.

Shifting Email Workflows to the Cloud

For many organizations, transitioning email workflows to the cloud involves utilizing Simple Mail Transfer Protocol (SMTP) relay. Amazon SES and Proofpoint SER work in tandem to streamline this transition, offering enhanced security and reliability in email transmissions. This partnership ensures that email management is both efficient and scalable, meeting the demands of modern businesses.

Enhancing Email Resilience with Global Endpoints

Amazon SES has recently introduced Global Endpoints, a significant upgrade to its email sending capabilities. This feature enhances the availability and reliability of SES API v2 by distributing messages across multiple AWS regions in an active/active configuration. If Global Endpoints detect any degradation in service, it automatically reroutes emails to maintain seamless delivery.

Simplifying Multi-Region Email Sending

Amazon SES also offers Deterministic Easy DKIM, simplifying the process of multi-region email sending. This capability supports large-scale, global email communications while ensuring high deliverability rates. SES’s integration with over a dozen AWS regions, combined with cost-effective pricing and tight integration with other AWS services, provides a comprehensive solution for businesses with expansive email needs.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy, can help organizations harness the full potential of these SES features. Whether it’s implementing Proofpoint SER for enhanced email security or setting up Global Endpoints for improved reliability, KeyCore’s expertise ensures seamless integration and optimization. By partnering with KeyCore, businesses can achieve a robust email infrastructure tailored to their specific requirements.

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

Generative AI Adoption and Compliance with AWS Audit Manager

As organizations embrace generative AI to drive innovation and operational efficiency, it’s crucial to establish mechanisms for monitoring and measuring AI usage. AWS addresses this need by providing a structured approach for organizations to adopt generative AI technologies while ensuring compliance. The AWS Audit Manager offers a simplified pathway for companies to proactively assess their generative AI implementations. Through predefined frameworks and automated assessments, organizations can easily track compliance with industry standards and regulatory requirements, thereby enhancing their confidence in AI deployments.

Introducing the AWS Network Firewall CloudWatch Dashboard

AWS has introduced a new CloudWatch dashboard specifically designed for AWS Network Firewall users. This customizable tool allows users to monitor their firewall resources in a single view, offering deeper insights into firewall performance and security posture. By deploying this CloudWatch dashboard, organizations can create a tailored monitoring solution that supports proactive threat detection and response. The dashboard helps in visualizing key metrics and alerts, empowering security teams to maintain robust network protection and streamline incident management.

Building a Culture of Security for the Future

Security isn’t just about technology; it’s about cultivating a culture of awareness and responsibility across an organization. According to a 2024 Verizon report, a significant portion of data breaches arise from human errors or social engineering attacks. This underscores the need for comprehensive human-layer defenses. Organizations must integrate security awareness programs and foster an environment where every employee understands their role in maintaining security. By embedding security into the organizational culture, businesses can better safeguard against emerging threats and protect sensitive data.

Enhanced AWS Secrets Manager Transform

Recent updates to AWS Secrets Manager transform, AWS::SecretsManager-2024-09-16, streamline infrastructure management by minimizing manual security updates and bug fixes. This enhanced version simplifies the management, retrieval, and rotation of sensitive information such as database credentials and API keys. By automating these processes, AWS enables businesses to focus more on strategic initiatives rather than routine security tasks. This advancement in AWS Secrets Manager represents a step forward in securely managing secrets throughout their lifecycle with reduced operational overhead.

AWS-LC FIPS 3.0: Pioneering Post-Quantum Cryptography

AWS-LC FIPS 3.0 has achieved a significant milestone by being included in the NIST Cryptographic Module Validation Program. This version introduces support for Module Lattice-Based Key Encapsulation Mechanisms (ML-KEM), setting the stage for implementing post-quantum cryptographic algorithms. As cyber threats evolve, adopting post-quantum cryptography becomes vital for future-proofing security frameworks. AWS’s leadership in integrating ML-KEM into FIPS 140-3 validation exemplifies its commitment to advancing cryptographic standards, offering robust protection against next-generation threats.

How KeyCore Can Help

KeyCore stands ready to assist organizations in navigating AWS’s latest security, identity, and compliance offerings. With expertise in configuring AWS Audit Manager for generative AI compliance, deploying CloudWatch dashboards for network security, and enhancing organizational security culture, KeyCore provides tailored solutions to meet specific business needs. Leveraging the latest advancements in AWS Secrets Manager and cryptographic standards, KeyCore ensures that clients can efficiently manage security and compliance while focusing on their core business objectives.

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Innovating in the Public Sector

Operationalizing SAS on AWS with the American College of Radiology

The American College of Radiology (ACR) has implemented a Statistical Analysis System (SAS) on Amazon Web Services (AWS) to enhance their data processing capabilities. By leveraging AWS, ACR optimized costs, improved performance, and achieved scalability, addressing their big data analysis needs effectively. This strategic move enables ACR to support their community of over 41,000 radiology professionals more efficiently. AWS’s robust infrastructure offers ACR the flexibility to process large datasets, leading to better insights and outcomes in radiological research and practice.

Powering Singapore’s Genomic Research with AWS and Illumina

In Singapore, genomic research is advancing through the combined efforts of AWS and Illumina. Precision medicine, a data-intensive approach, benefits from AWS’s cloud capabilities and Illumina’s genomic sequencing expertise. These technologies facilitate the analysis of vast genomic datasets, which are crucial for understanding genetic variations and their implications on chronic diseases prevalent in Asia. By enabling researchers to decode complex genetic information, AWS and Illumina are pivotal in advancing healthcare solutions tailored to individual genetic profiles, thus improving preventive and diagnostic measures.

AWS Verified Access in a TIC 3.0 Architecture

Federal agencies can align with Trusted Internet Connections (TIC) 3.0 requirements using AWS Verified Access (AVA). AVA is a cloud service that secures application access without VPNs by evaluating each access request against set security criteria. It supports TIC 3.0 through features like configuration management, centralized logging, strong authentication, resilience, and policy enforcement. AWS provides comprehensive architectural overlays to guide agencies in implementing these guidelines, ensuring secure and efficient cloud deployments.

Agile Satellite Communication with Amazon EC2 F2 FPGA Solutions

Amazon EC2 F2 instances equipped with FPGA solutions offer satellite operators the flexibility to build and analyze satellite communication (satcom) systems. Operators can orchestrate multiple satcom waveforms, swap FPGA images efficiently, and analyze performance metrics using AWS services like CloudWatch and QuickSight. This setup helps validate network performance and align with latency requirements, enabling the development of agile satcom strategies that adapt quickly to changing needs and technological advancements.

Democratizing Generative AI for National Security

AWS’s Ash Thankey emphasizes the importance of democratizing generative AI to enhance national security missions. By integrating diverse perspectives and informed decision-making, AWS’s generative AI capabilities can significantly impact mission outcomes. This approach fosters innovation and problem-solving in national security, supporting the complex needs of government agencies tasked with protecting national interests. Thankey’s insights underscore AWS’s commitment to leveraging AI technologies for strategic advantage.

Building a Multilingual Document Summarization Application on Amazon Bedrock

Amazon Bedrock enables the development of a multilingual document summarization application using Retrieval-Augmented Generation (RAG). The application leverages the Cohere Embed – Multilingual model and Anthropic Claude 3 to query across multiple Indian languages. This approach, while focused on Indian languages, can be extended to other languages supported by the large language model. Amazon Bedrock provides a robust platform for creating applications that handle diverse linguistic data, facilitating more inclusive and comprehensive information retrieval processes.

How KeyCore Can Help

KeyCore is at the forefront of implementing AWS solutions tailored to the public sector. From optimizing data processing infrastructure for organizations like the American College of Radiology to enabling genomic research advancements and secure government deployments, KeyCore provides expert guidance and support. Our team can assist in developing agile satellite communications, integrating AI in national security strategies, and building innovative multilingual applications. Partner with KeyCore to leverage AWS’s full potential for your unique public sector needs.

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