Summary of AWS blogs for the week of monday Mon Nov 04

In the week of Mon Nov 04 2024 AWS published 85 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

IT organizations are constantly challenged to optimize their operations by reducing costs while ensuring security is not compromised. Amazon WorkSpaces Family services offer a robust solution for addressing both these concerns.

Cost Optimization and Security

Amazon WorkSpaces Family services provide a comprehensive suite of tools that help businesses streamline their desktop and application streaming operations. By leveraging these services, companies can effectively manage their IT costs and maintain a high level of security. The services offer flexible pricing models, allowing organizations to pay only for what they use, thus significantly cutting down unnecessary expenses. Additionally, built-in security features ensure that data and applications remain protected, reducing the risk of breaches and data loss.

Enhanced Developer Enablement with Docker

Developers often face challenges when using Docker Desktop in Windows-based personal WorkSpaces due to the lack of support for nested virtualization. However, Amazon WorkSpaces Personal has addressed this by enabling Docker Desktop support, allowing developers to build, test, and run their applications seamlessly. This enhancement not only boosts developer productivity but also aligns with modern DevOps practices, facilitating continuous integration and delivery pipelines.

The collaboration with Docker Inc. has further strengthened this offering, ensuring that developers have access to the latest tools and technologies they need to accelerate application development and deployment processes.

How KeyCore Can Assist

KeyCore is well-positioned to help organizations leverage Amazon WorkSpaces Family services to their fullest potential. With expertise in AWS solutions, KeyCore can assist in configuring, deploying, and managing these services, ensuring cost-efficiency and robust security. Whether it’s optimizing existing WorkSpaces environments or integrating Docker Desktop for enhanced developer capabilities, KeyCore’s professional and managed services provide the support necessary to achieve business goals effectively. Explore KeyCore’s offerings to understand how they can streamline your IT operations while maximizing security and cost savings. Visit KeyCore.dk for more information.

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AWS for SAP

Enhancing SAP Composable Storefront with Amazon CloudFront

Providing a seamless and fast user experience is critical for business success in the digital commerce realm. Amazon CloudFront can significantly enhance the performance of SAP Composable Storefronts by ensuring rapid load times for users worldwide. According to the 2021 RSR’s Annual Evaluation of Retailers’ Website Performance, a staggering 92% of shoppers experience frustration with slow-loading websites. This statistic underscores the importance of optimizing digital storefronts to meet consumer expectations.

Amazon CloudFront, a content delivery network (CDN), plays a pivotal role in reducing latency and improving the speed of website delivery. By distributing content across a global network of edge locations, CloudFront ensures that users receive data from the nearest server, thus minimizing delay. This is crucial for maintaining high user engagement and satisfaction, directly impacting business outcomes. Utilizing Amazon CloudFront with SAP can lead to increased conversion rates and customer loyalty by providing a fast, reliable, and consistent user experience.

RISE with SAP Transformation Accelerated by SAP Signavio on AWS Marketplace

AWS and SAP Signavio have collaborated to facilitate cloud migration and transformation for businesses. Since 2008, this partnership has empowered thousands of joint customers to streamline their operations by leveraging the cloud. The introduction of SAP Signavio on the AWS Marketplace is a strategic move to bolster the RISE with SAP transformation initiatives.

SAP Signavio provides businesses with comprehensive tools for process management and optimization, offering enhanced visibility and control over business operations. This integration within the AWS Marketplace simplifies procurement and deployment, enabling organizations to quickly adopt and integrate SAP solutions into their existing infrastructure. By utilizing SAP Signavio on AWS, businesses can accelerate their digital transformation journeys, ensuring they remain competitive in a rapidly evolving market.

How KeyCore Can Help

At KeyCore, we specialize in assisting businesses with their AWS and SAP needs. Our expertise in Amazon CloudFront ensures that clients’ SAP Composable Storefronts are optimized for performance, thereby improving user satisfaction and business outcomes. Additionally, we offer tailored solutions for integrating SAP Signavio through the AWS Marketplace, streamlining your RISE with SAP transformation processes. Whether it’s enhancing digital storefront performance or accelerating your business transformation, KeyCore is here to provide expert guidance and support.

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Official Machine Learning Blog of Amazon Web Services

Amazon Bedrock Prompt Management Goes GA

Amazon has announced the general availability (GA) of Amazon Bedrock Prompt Management. This release introduces new features that enhance prompt configuration options and streamline their integration into generative AI applications. Businesses can now leverage these improvements to efficiently manage prompts, thus enhancing the overall capability and flexibility of their AI applications. This advancement empowers developers to create more sophisticated and responsive generative AI solutions, addressing complex business needs with precision and ease.

Zalando’s ML Operations Optimization with SageMaker

Zalando, a leading European eCommerce fashion retailer, collaborated with AWS to optimize large-scale inference and streamline machine learning operations using Amazon SageMaker. Facing the challenge of markdown pricing for over a million products, Zalando implemented advanced ML strategies to manage and automate this complex workflow. By leveraging SageMaker, Zalando enhanced its ability to perform predictive analysis, improving operational efficiency and decision-making processes. This collaboration underscores the value of robust ML tools in tackling eCommerce challenges.

Stability AI’s Text-to-Image Models for Creative Industries

Stability AI is revolutionizing the media, marketing, and advertising sectors with advanced text-to-image models. These generative AI models enable creative professionals to explore new possibilities, pushing the boundaries of traditional workflows. As a result, enterprises in these industries can innovate more effectively, maintaining competitiveness in an ever-evolving technological landscape. This development highlights the transformative potential of AI in creating dynamic content and enhancing creative processes.

Building Multi-Tenant Generative AI Environments on AWS

To accelerate the adoption of generative AI, organizations require a comprehensive approach that unifies disparate teams and workflows. AWS provides the tools to build multi-tenant generative AI environments that streamline operations and enhance collaboration. By adopting a holistic AI lifecycle approach, enterprises can overcome silos, creating a more efficient and integrated AI infrastructure. This capability is crucial for organizations looking to maximize the value derived from their AI investments.

Integrating Amazon Bedrock Agents with Enterprise Data APIs

Amazon Bedrock Agents can be integrated with enterprise data APIs to enhance customer support. These AI agents, powered by large language models, enable businesses to deliver faster, more accurate, and personalized responses to customer inquiries. By effectively analyzing complex queries and accessing multiple data sources, Amazon Bedrock Agents improve customer service experiences and operational efficiency. This integration represents a significant step forward in transforming customer support through AI.

Empowering CCoEs with Amazon Q Business

Hearst, a major global information and media company, utilized Amazon Q Business to create a self-service generative AI conversational assistant. This tool assists business units in accessing the Cloud Center of Excellence (CCoE) for guidance, streamlining cloud governance, and fostering innovation. By leveraging Amazon Q Business, Hearst enhanced its capability to manage cloud resources effectively, driving operational excellence and scaling best practices across the organization.

Integrating Foundation Models with Amazon Bedrock

The integration of large language models (LLMs) and foundation models (FMs) with Amazon Bedrock represents a significant advancement in AI and NLP. These models, trained on extensive datasets, offer unprecedented capabilities in generating human-like text and performing complex language tasks. Amazon Bedrock simplifies the deployment of these models, making high-level AI functionalities more accessible to businesses. This integration is pivotal for enterprises seeking to leverage cutting-edge AI technologies to gain a competitive edge.

Building and Deploying Generative AI UIs with AWS and Python

Developers can build and deploy user interfaces (UIs) for generative AI applications using AWS tools and Python. By utilizing AWS services like Amazon ECS, Amazon Cognito, and the AWS CDK, along with the Streamlit library, developers can create interactive data applications with robust authentication and deployment features. This approach simplifies the process of developing generative AI applications, even for those with limited development experience, thus democratizing access to sophisticated AI tools.

Unearthing Insights from Audio Transcripts with Amazon Bedrock

Amazon Bedrock facilitates the extraction of valuable insights from audio transcripts generated by Amazon Transcribe. Businesses can automate the summarization, categorization, and analysis of marketing content, such as podcasts and recorded interviews. Additionally, key points, summaries, and sentiment can be extracted from recorded meetings to enhance decision-making. This powerful capability enables businesses to improve customer experiences by analyzing contact center calls and other audio data efficiently.

How KeyCore Can Assist

KeyCore offers expertise in harnessing the latest advancements in AWS technologies, including those related to generative AI, machine learning, and data analytics. With extensive experience in AWS solutions, KeyCore can help organizations implement and optimize AWS services to meet their business objectives. Whether it’s integrating AI models, optimizing ML operations, or building scalable AI environments, KeyCore provides tailored consulting and managed services to drive innovation and maximize ROI.

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Announcements, Updates, and Launches

Amazon Location Service has announced the release of 17 new APIs that significantly enhance the functionality and developer experience for location-based applications. These APIs offer advanced features such as improved route optimization, toll cost calculations, and GPS trace snapping. Developers can also benefit from proximity search, predictive suggestions, and the ability to render both static and dynamic maps. These additions make it easier than ever to integrate sophisticated location services into applications, providing users with enriched navigation and mapping options.

Amazon MSK has introduced Express brokers, which offer exceptional performance improvements for Apache Kafka clusters on AWS. These brokers provide three times the throughput, scale operations 20 times faster, and reduce recovery time by 90%. Such enhancements not only streamline Kafka operations but also bring significant cost savings, reducing infrastructure expenses by half. This makes Express brokers an attractive option for businesses seeking high-performance, scalable Kafka solutions on AWS.

As AWS re:Invent 2024 approaches, AWS has announced the final cohort of new AWS Heroes for the year. These individuals are recognized for their significant contributions to the AWS community, demonstrating expertise and dedication in leveraging AWS technologies. The new AWS Heroes have made impactful contributions by sharing their knowledge and enhancing the community’s understanding of AWS services. Their recognition highlights AWS’s commitment to community engagement and innovation.

The AWS Weekly Roundup has recapped a series of exciting releases, including updates to AWS Lambda, Amazon Bedrock, Amazon Redshift, and Amazon CloudWatch. This lineup of releases marks a busy and innovative period for AWS, setting the stage for the upcoming AWS re:Invent event. These updates enhance AWS’s service offerings, providing businesses with more tools and capabilities to optimize their cloud solutions.

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Containers

Amazon EKS Now Supports Amazon Application Recovery Controller

Amazon Elastic Kubernetes Service (Amazon EKS) has introduced support for Amazon Application Recovery Controller (ARC). This integration enhances the resilience of applications by preparing for and recovering from impairments in AWS Regions or Availability Zones (AZs). ARC offers two significant capabilities: Multi-AZ recovery and multi-Region recovery. Multi-AZ recovery includes features like zonal shift and zonal autoshift, which help manage disruptions within a single region. Multi-Region recovery, on the other hand, involves advanced routing capabilities to ensure seamless operations across multiple geographical areas. This support is crucial for applications that demand high availability and disaster recovery preparedness.

Improving Deployment Visibility for Amazon ECS Services

Deployment visibility is critical for maintaining a smooth and reliable software release process. Amazon Elastic Container Service (Amazon ECS) has enhanced its observability features to provide better insights into deployments. These enhancements allow teams to monitor the status of ongoing deployments, troubleshoot any issues that arise, and maintain an audit trail of past deployments. With these improvements, development teams can ensure more secure and robust releases, reducing potential downtime and improving overall service quality. Enhanced observability not only facilitates quicker troubleshooting but also provides a comprehensive view of deployment activities, helping teams make informed decisions.

Infinitium’s Success in Reducing Fraud Detection Time with Amazon ECS and AWS Fargate

Infinitium, a leading digital payments company in Southeast Asia, collaborated with AWS to significantly enhance its fraud detection capabilities. By utilizing Amazon ECS and AWS Fargate on AWS Graviton, Infinitium was able to reduce its fraud detection time by 95%. This transformation was achieved through the adoption of cutting-edge technologies and a focus on scalable and efficient computing solutions. Infinitium’s commitment to secure online payment solutions and risk management services was further strengthened by leveraging the high performance and scalability of AWS Graviton processors. This collaboration underscores the value of AWS services in driving business efficiency and innovation in digital payment infrastructures.

How KeyCore Can Help

KeyCore, the leading AWS consultancy in Denmark, is well-equipped to assist organizations in harnessing the power of AWS container services. Whether it’s integrating Amazon Application Recovery Controller with Amazon EKS for enhanced application resilience or optimizing deployment processes with Amazon ECS, KeyCore offers expert guidance and implementation services. Our team can also support businesses in leveraging AWS Graviton for improved performance and cost-efficiency, much like Infinitium’s success story. With our extensive knowledge and experience, KeyCore ensures that AWS solutions are tailored to meet the specific needs and goals of your organization.

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Official Database Blog of Amazon Web Services

Amazon DynamoDB Sessions at AWS re:Invent 2024

November marks the arrival of AWS re:Invent 2024, and with it, a lineup of sessions focused on Amazon DynamoDB. This article outlines the key sessions, which are ideal for individuals keen on deepening their understanding of DynamoDB. It serves as a handy guide to help attendees organize their schedules for the event in Las Vegas. Bookmarking this list will ensure that conference attendees can efficiently plan their week, making the most of the available learning opportunities.

Best Practices for Running Apache Cassandra with Amazon EBS

Written by Jon Haddad, an Apache Cassandra committer, this post delves into enhancing Cassandra’s performance with Amazon EBS. It introduces fundamental tools for Cassandra operators to monitor performance metrics, which can then be utilized to adjust OS tuneables and Cassandra configurations. The post concludes by showcasing benchmarks that illustrate the performance improvements achieved through these best practices.

Renaming and Retaining Endpoint Names for Amazon RDS

This guide provides a clear, step-by-step process for renaming an endpoint for a new Amazon RDS instance while preserving the existing endpoint name. The article highlights key considerations to keep in mind during the renaming process, ensuring a smooth transition without disrupting database connectivity.

Tuning Amazon RDS for Oracle CDBs with Amazon Performance Insights

Utilizing Oracle Multitenant, databases can be consolidated into PDBs within a CDB on an Amazon RDS for Oracle instance. Performance Insights introduces a PDB dimension for visualizing the load distribution among individual PDBs. This post explains how to leverage these insights to identify resource-intensive SQL queries at the PDB level, using new visual dashboard capabilities.

Channel Corporation’s Architecture Modernization with Amazon DynamoDB

In this two-part series, Channel Corporation, a SaaS startup, shares its journey of modernizing architecture using Amazon DynamoDB. Part 1 discusses the motivations for transitioning from RDBMS to NoSQL and the factors considered before migrating from Amazon RDS for PostgreSQL. Part 2 delves into integrating with additional services to overcome challenges not addressable by DynamoDB alone, enhancing the overall service architecture.

Optimizing Amazon Aurora PostgreSQL Auto Scaling with Cache Pre-Warming

This article focuses on optimizing query performance for new Amazon Aurora replicas by addressing the cold cache issue. It explains how automated cache pre-warming can lead to consistent query performance. The post also explores the role of Amazon ElastiCache in further enhancing application performance, particularly for latency-sensitive applications.

Amazon DynamoDB Data Models for Generative AI Chatbots

Amazon DynamoDB offers scalability and low latency, making it perfect for storing chat history and metadata for AI chatbots. This post explores designing optimal data schemas for chatbots, whether for proof of concept or large-scale deployments. Storing user-specific metadata facilitates personalized interactions, improving the overall chatbot experience.

Building a Scalable, Context-Aware Chatbot with Amazon DynamoDB, Amazon Bedrock, and LangChain

This article demonstrates how to use Amazon DynamoDB, Amazon Bedrock, and LangChain to build intelligent, context-aware chatbots. It discusses integrating LangChain with DynamoDB to manage conversation history and using Amazon Bedrock for delivering nuanced responses. The post guides developers through the necessary steps to implement this advanced chatbot architecture.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, stands ready to assist businesses in navigating AWS services like DynamoDB, RDS, and Aurora. Whether it’s optimizing database performance or modernizing IT infrastructure, KeyCore’s expertise ensures tailored solutions that align with organizational goals. With professional and managed services, KeyCore is equipped to support AWS implementations, ensuring businesses leverage the full potential of AWS technologies.

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AWS Training and Certification Blog

As businesses increasingly transition from experimenting with generative artificial intelligence (AI) to deploying customer-facing applications, the demand for skilled teams becomes essential for the success of these projects. AWS offers an extensive range of training courses specifically designed to enhance the skill sets of teams involved in generative AI projects. This training ensures that your team is well-equipped to handle the complexities and challenges that come with implementing AI solutions.

Importance of Skilled Teams in AI Projects

Generative AI projects require a deep understanding of machine learning models, data management, and deployment strategies. Without the necessary expertise, projects can face significant hurdles, risking delays or failures. Upskilling your team not only improves project outcomes but also accelerates innovation within your organization, enabling you to maintain a competitive edge in the rapidly evolving AI landscape.

Leverage AWS Training for Skill Enhancement

AWS Training offers a comprehensive curriculum covering a variety of topics relevant to generative AI, including machine learning frameworks, data processing with AWS services, and AI-driven application deployment. These courses are designed to provide hands-on experience and practical knowledge, ensuring that team members can apply what they learn directly to ongoing and future projects. By integrating AWS Training into your team’s development plan, you can create a robust foundation for successful AI project execution.

Business Value of Upskilling with AWS

Investing in AWS Training not only enhances technical capabilities but also brings significant business value. It leads to increased efficiency in project delivery, improved innovation capacity, and a stronger ability to adapt to new technological advancements. As your team becomes more proficient in leveraging AWS tools and services, your organization can achieve better outcomes from AI initiatives, driving growth and customer satisfaction.

How KeyCore Can Assist

KeyCore, Denmark’s leading AWS consultancy, offers expert guidance to help your organization maximize the benefits of AWS Training for generative AI projects. With our in-depth understanding of AWS services and training programs, KeyCore can tailor solutions to meet your specific needs, ensuring your team gains the necessary skills to excel in AI projects. Whether through professional services or managed services, KeyCore is committed to empowering your team and enhancing your organization’s AI capabilities.

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Microsoft Workloads on AWS

Explore Microsoft Workloads on AWS at re:Invent 2024

AWS re:Invent 2024, the 13th annual event hosted by Amazon Web Services, is approaching rapidly, scheduled to commence in less than four weeks. This year’s event promises an extensive array of over 2,400 sessions spread across six venues. Participants have a prime opportunity to enhance their AWS skills and expand their network among AWS enthusiasts and builders. Attendees interested in deepening their knowledge on Microsoft workloads on AWS should consider reserving their seats early to secure a spot in the relevant sessions.

Why Attend AWS re:Invent 2024?

Attending AWS re:Invent 2024 offers significant advantages for professionals working with Microsoft workloads. The event is an invaluable platform for learning directly from AWS experts and gaining insights into best practices, innovations, and future trends in cloud computing. It also provides a conducive environment for networking with peers who share similar interests in Microsoft workloads on AWS, fostering collaboration and the exchange of ideas.

Reserve Your Sessions

Reserved seating for sessions is now open, allowing participants to plan their schedule in advance. This ensures access to sessions that align with personal and professional interests, particularly those focusing on integrating and optimizing Microsoft workloads on AWS. Early reservation is crucial as popular sessions tend to fill up quickly, especially those offering deep dives into technical aspects and real-world use cases.

KeyCore’s Role in Enhancing Your AWS Experience

KeyCore stands as a premier consultancy for AWS solutions, offering both professional and managed services. Their expertise can enhance the understanding and implementation of Microsoft workloads on AWS, ensuring organizations maximize their investment in cloud technologies. By leveraging KeyCore’s comprehensive services, attendees can effectively apply insights gained from re:Invent sessions to their own AWS environments, driving innovation and efficiency.

For more information on optimizing Microsoft workloads on AWS, visit KeyCore’s website at www.keycore.dk to explore how KeyCore can support your cloud journey.

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Official Big Data Blog of Amazon Web Services

Incremental Refresh for Amazon Redshift Materialized Views

Amazon Redshift now supports incremental refresh for materialized views on data lake tables, including open file formats like Apache Iceberg. This feature allows users to refresh only the changed data, optimizing performance and resource usage. The post provides a detailed guide on the operations supported for both open file formats and transactional data lake tables, facilitating efficient data processing and ensuring up-to-date analytics.

Support Dates for Amazon OpenSearch Service Versions

Amazon OpenSearch Service has announced the end of Standard and Extended Support dates for various Elasticsearch and OpenSearch versions. This includes legacy Elasticsearch versions up to 6.7, intermediate versions from 7.1 through 7.8, and OpenSearch versions spanning 1.0 to 2.9. Understanding these timelines is crucial for planning your upgrade path and ensuring continued support and security for your OpenSearch clusters.

Enhance Query Development with Amazon Q Generative SQL

The Amazon Q generative SQL feature in Amazon Redshift’s query editor helps users write SQL queries faster by generating tailored SQL commands from natural language queries. This feature reduces the time spent on SQL syntax and optimizations, allowing users to focus on extracting business insights. The post guides users on enabling and using Amazon Q to streamline their data querying process.

Next-Generation OpenSearch UI in Amazon OpenSearch Service

Amazon OpenSearch Service has introduced a revamped UI that enhances operational analytics and observability across multiple data sources. The new OpenSearch Workspaces offer tailored experiences for popular use cases, supporting access control for collaborative environments. This modernized interface simplifies data management and insight generation from diverse data sets.

Accelerating SQL Code Migration with BladeBridge

BladeBridge facilitates the migration of SQL code from Google BigQuery to Amazon Redshift, automating complex conversion tasks. This solution accelerates the transition to Redshift’s scalable data warehouse, enabling organizations to enhance their data analytics capabilities efficiently. The post explores how BladeBridge’s comprehensive tools simplify modernization efforts and support rapid deployment of analytics solutions.

Building Real-Time AI Applications with Amazon MSK

The introduction of real-time vector embedding blueprints for Amazon MSK simplifies the development of AI applications by generating vector embeddings through Amazon Bedrock. These embeddings are indexed in Amazon OpenSearch Service, streamlining the implementation of Retrieval Augmented Generation (RAG) capabilities. The post highlights architectural patterns and the significance of real-time data in AI applications.

Cost Reduction with Kinesis Client Library 3.0

Kinesis Client Library 3.0 significantly reduces compute costs for stream processing applications by up to 33%. A new load balancing algorithm optimizes resource utilization by evenly distributing the load across workers. The post demonstrates the efficiency of this approach using sample workloads, offering insights into managing stream processing costs effectively.

Streaming Real-Time Data to Apache Iceberg Tables

Amazon Data Firehose enables real-time data streaming into Apache Iceberg tables on Amazon S3. By configuring a delivery stream and selecting the appropriate data source and destination, users can streamline the data ingestion process. This post details how to set up and utilize Firehose streams to deliver data efficiently to Iceberg tables.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to assist organizations in leveraging these advanced AWS capabilities. Whether it’s optimizing materialized views in Amazon Redshift, planning upgrades for Amazon OpenSearch Service, or migrating SQL code efficiently with BladeBridge, KeyCore provides expert guidance and bespoke solutions. Our team can help architect and implement real-time AI applications using Amazon MSK or reduce stream processing costs with Kinesis. To explore how KeyCore can enhance your AWS infrastructure and data strategies, visit www.keycore.dk.

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Networking & Content Delivery

Securing PartyRock: Protecting Amazon Bedrock Endpoints with AWS WAF

PartyRock is a dynamic platform based on Amazon Bedrock that lets users engage with generative AI technologies in a practical and enjoyable way. It provides a no-code environment where individuals can create applications like quiz generators and resume optimizers. This free and open playground for generative AI fosters innovation and creativity among builders. However, it also introduces substantial security risks.

Understanding Security Challenges

As an open online platform, PartyRock is susceptible to various security threats. These include unauthorized access, malicious attacks, and data breaches, which can compromise user data and application functionality. Ensuring robust security measures is essential to maintain the integrity and trust of the platform.

Implementing AWS WAF for Protection

To address these security challenges, the PartyRock team utilizes Amazon Web Services Web Application Firewall (AWS WAF). AWS WAF provides powerful protection by filtering and monitoring HTTP and HTTPS requests. It safeguards the application from common web exploits that could affect availability, compromise security, or consume excessive resources.

The configuration of AWS WAF involves setting up rules to block, allow, or monitor requests based on conditions such as IP addresses, HTTP headers, HTTP body, and URI strings. This enables the platform to prevent security threats effectively while allowing legitimate traffic.

Business Value and KeyCore’s Role

Implementing AWS WAF not only enhances the security framework of PartyRock but also ensures a stable and reliable environment for users. By protecting endpoints, the platform can continue to offer its innovative services without interruptions. This security approach provides peace of mind for users and developers, encouraging continued interaction and use of the platform.

KeyCore can assist organizations like PartyRock in optimizing their AWS security strategies. With expertise in configuring AWS WAF and other security services, KeyCore ensures robust protection for applications. They offer tailored solutions that align with business goals, empowering companies to leverage AWS technologies while minimizing security risks.

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AWS Compute Blog

Upgrade to 4th Generation AMD Processors

Amazon Web Services (AWS) and AMD have formed a productive collaboration since 2018, offering cost-effective solutions for Microsoft workloads. These workloads include Microsoft SQL Server, Microsoft Exchange Server, Microsoft SharePoint Server, and Microsoft Systems. By upgrading to the 4th generation AMD processors, companies can significantly reduce their Microsoft licensing costs. The processors deliver enhanced performance, allowing for more efficient use of resources and potentially lowering the number of licenses needed.

This collaboration reflects AWS’s commitment to providing versatile and economical options for architecture and deployment, suitable for a range of applications. By optimizing the infrastructure, businesses can maximize their workload performance while minimizing expenses.

Monitoring On-Demand Capacity Reservations

The On-Demand Capacity Reservations (ODCR) feature enables users to reserve compute capacity on Amazon Elastic Compute Cloud (Amazon EC2). Efficient monitoring of these reservations is crucial for optimal resource allocation and cost management. Grouping on CloudWatch Dimensions offers a powerful way to track and analyze ODCR metrics.

By leveraging CloudWatch Dimensions, users can organize and identify patterns in their capacity usage, aiding in better forecasting and budgeting strategies. This feature allows for a granular view of resource utilization, facilitating informed decision-making and improved operational efficiency.

Optimize CPU Configuration for Cost Savings

Amazon EC2 now supports modifying CPU configurations after an instance has been launched. This new capability allows users to adjust CPU settings directly or when changing instance sizes. By retaining the optimize CPUs configuration, users can save on licensing costs, particularly when operating software that charges based on the number of available cores.

This feature provides flexibility and control over compute resources, enabling efficient scaling and cost management. By fine-tuning CPU settings, businesses can align their infrastructure with workload requirements, ensuring optimal performance and cost-effectiveness.

AWS re:Invent 2024 Compute Track Guide

AWS re:Invent 2024, scheduled from December 2nd to December 6th, promises to be a rich learning experience for attendees. The event offers numerous opportunities to deepen knowledge and skills across AWS technologies through keynotes, workshops, and hands-on labs. The Compute track is specifically designed to enhance understanding of AWS compute services, innovations, and best practices.

Participants can expect to gain insights from AWS experts and peers, which can be directly applied to their cloud strategies and operations. This event is an invaluable platform for networking, collaboration, and professional growth in the AWS ecosystem.

How KeyCore Can Help

KeyCore is well-equipped to assist organizations in navigating AWS compute services and maximizing their cloud investments. With expertise in implementing AMD processor upgrades, monitoring ODCR, optimizing CPU configurations, and preparing for AWS events like re:Invent, KeyCore provides tailored solutions that align with business objectives. Our team of skilled consultants is ready to support your journey towards efficient and cost-effective cloud operations.

For more information on how KeyCore can enhance your AWS experience, visit our website and explore our range of professional and managed services.

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AWS for M&E Blog

Efficient management of vast media archives is a persistent challenge for content owners, especially when metadata is lacking, making asset discovery and reuse difficult. Traditional archive enrichment methods, whether through human effort or machine learning (ML), can be costly and time-consuming. AWS provides an innovative solution by integrating generative AI with ML to enhance these processes. This cutting-edge approach allows media companies to streamline archive management, ensuring content is easily discoverable and reusable.

Enhancing Media Archives with AI

The integration of generative AI with ML in AWS enables the automatic generation of metadata, which helps in efficient asset tagging and cataloging. This reduces the reliance on manual processes and accelerates the speed of archive enrichment. With these advanced technologies, content owners can improve the accuracy and depth of their metadata, making archives more accessible and valuable.

Cost and Time Efficiency

By leveraging AWS services, companies can significantly cut down on the expenses and time associated with traditional methods of archive management. The automation of metadata generation not only optimizes resource utilization but also enhances the richness of content available for rediscovery and reuse. This approach ensures that vast archives can be maintained and accessed without imposing prohibitive costs.

KeyCore’s Expertise

KeyCore can assist organizations in adopting AWS’s innovative solutions to media archive management. With deep expertise in AWS services, KeyCore provides tailored strategies that integrate generative AI and ML into existing workflows, ensuring efficient and cost-effective archive enrichment.

PGA TOUR’s TOURCast Expansion

The PGA TOUR has extended its TOURCast platform to Japan, utilizing AWS cloud infrastructure to enhance fan engagement during the 2024 ZOZO Championship. This expansion includes the innovative ShotLink scoring system powered by CDW, marking a milestone for PGA TOUR’s global presence. TOURCast provides in-depth statistical data, bringing fans closer to the game with real-time insights and interactive features.

Advanced Fan Experience

By deploying AWS cloud solutions, the PGA TOUR ensures a seamless and scalable platform that delivers enriched content and analytics. This enhances fan experience by offering detailed statistics and interactive features that engage audiences like never before. AWS’s flexible infrastructure supports the global expansion of TOURCast, ensuring consistent performance and reliability.

KeyCore’s Role in Cloud Solutions

KeyCore can guide sports organizations in implementing AWS cloud infrastructure for expanding digital platforms. With expertise in AWS services, KeyCore can tailor solutions that meet the unique needs of sports entities, ensuring robust and scalable platforms that enhance audience engagement and operational efficiency.

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AWS Storage Blog

Delhivery is a major third-party logistics provider in India, managing millions of package deliveries daily across over 18,000 pin codes. The company operates using more than 20 automated sort centers, 90 warehouses, and 2,800 delivery centers. With such operational scale, data becomes central to their logistics and business decisions. Recently, due to regulatory requirements, Delhivery needed to migrate 500 TB of data across AWS Regions efficiently. Here’s how they accomplished this significant feat using Amazon S3 Replication.

Understanding Amazon S3 Replication

Amazon S3 Replication is a robust feature that allows seamless copying of data across different AWS Regions. It supports both same-region and cross-region replication, ensuring data is available where it’s needed. Delhivery leveraged this service to meet their compliance and data residency requirements without compromising on performance or availability.

The Migration Strategy

Delhivery’s data replication strategy centered on the use of Amazon S3’s cross-region replication capabilities. This choice allowed them to maintain data durability and accessibility while complying with regional data regulations. The process involved setting up a replication configuration for their S3 buckets, ensuring that any new data uploaded to their existing buckets would automatically be replicated to the target region. This setup minimized manual intervention and reduced the risk of errors during the migration.

Business Impact and Benefits

By migrating their data using Amazon S3 Replication, Delhivery not only complied with regulatory mandates but also enhanced their operational resilience. Data replication across regions ensures that Delhivery can continue to provide reliable services, even in the face of regional outages or data access issues. This approach has fortified their business continuity planning and prepared them for future growth and expansion.

How KeyCore Can Assist

KeyCore offers expertise in AWS storage solutions, ensuring seamless data migration and replication tailored to specific business needs. With our professional and managed services, businesses can confidently navigate the complexities of AWS data management. Whether addressing compliance requirements or optimizing data resilience, KeyCore provides the strategic guidance and technical support necessary for successful AWS deployments.

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AWS Developer Tools Blog

Enhancing .NET Lambda Function Logging with JSON Structured Format

The recent support for JSON structured logging in .NET Lambda Functions represents a significant advancement for developers. This feature enhances the .NET managed runtime by aligning it with AWS Lambda’s existing logging controls. Developers can now toggle between different logging formats and log levels through the Lambda API. By structuring log messages as JSON documents, the readability and operational efficiency of logs are greatly improved.

Benefits of JSON Structured Logging

JSON structured logs offer several advantages, particularly in how log data can be managed. The JSON format makes it easier to search and filter logs, which streamlines the debugging process and allows for more sophisticated monitoring. This is achieved because JSON logs are inherently structured, allowing developers to query logs based on specific fields or values, rather than searching through unstructured text. This enhancement is particularly beneficial in complex applications where log management can become challenging.

Integrating JSON Logging in .NET Applications

Implementing JSON structured logging in .NET applications running on AWS Lambda is straightforward. Developers can configure their application’s logging preferences using the Lambda API to switch to JSON format, ensuring that runtime logs are consistent and easy to process. This seamless integration allows for quick adaptation and minimizes downtime during the transition.

How KeyCore Can Assist

At KeyCore, the leading AWS consultancy in Denmark, we understand the importance of effective log management in cloud-native applications. Our team can help organizations implement and optimize JSON structured logging for their .NET Lambda functions, ensuring enhanced monitoring and troubleshooting capabilities. By leveraging our expertise, clients can maximize the operational efficiency of their AWS environments. Whether through professional services or managed services, KeyCore provides tailored solutions to meet diverse business needs.

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AWS Architecture Blog

Amazon Web Services (AWS) has enhanced its Well-Architected Framework by updating the guidance across six key pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. The new release incorporates advanced best practices and improved prescriptive implementation guidance. These updates include detailed recommendations and steps focusing on reusable architecture patterns tailored for specific business needs.

The Well-Architected Framework serves as a critical tool for organizations looking to design and evaluate their AWS environments. With these updates, businesses can better align their cloud architectures with operational goals and strategic objectives, ensuring they leverage AWS services efficiently and effectively. This not only optimizes performance but also enhances the security and compliance posture of the organization’s cloud infrastructure.

Organizations can achieve significant cost savings while maintaining or improving service reliability and performance due to the prescriptive nature of the new guidance. As sustainability becomes an increasingly important business metric, AWS’s focus on sustainable architectures helps organizations reduce their environmental footprint, thereby supporting global sustainability efforts.

Amazon Connect, in collaboration with Tata Consultancy Services, offers a solution to one of the more persistent challenges in customer service, namely long wait times on interactive voice response (IVR) systems. By channeling customer interactions from voice to chat, businesses can enhance service excellence, leading to increased customer satisfaction and brand loyalty.

The system is designed to seamlessly transition calls to chat-based interactions, thereby reducing wait times and improving overall user experience. This deflection strategy not only helps businesses handle customer queries more efficiently but also enables the automation of common tasks, allowing customer service agents to focus on more complex issues.

Incorporating Amazon Connect’s chat functionality can lead to significant improvements in service delivery, offering a scalable and flexible customer service solution. This transition not only reduces operational costs but also enhances the customer engagement process, resulting in higher retention rates and positive brand perception.

Modern data architectures are crucial in harnessing the full potential of artificial intelligence (AI) and advanced analytics. AWS’s journey in data solutions began with the launch of Amazon Simple Storage Service (Amazon S3) in 2006, and has since evolved to accommodate the diverse needs of modern data formats such as real-time, unstructured, and user-generated data.

Each form of modern data requires distinct solutions to ensure accuracy and relevance in data analytics. Real-time data demands low-latency processing capabilities, while unstructured data necessitates storage solutions that can efficiently index and search large datasets. User-generated data, on the other hand, calls for robust security and privacy measures.

By employing AWS’s modern data architectures, businesses can gain valuable insights that drive decision-making and innovation. These architectures support the development of more efficient generative AI models, providing organizations with the competitive edge needed in today’s data-driven market.

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in implementing and optimizing the AWS Well-Architected Framework for your organization. Our team can help you navigate the new guidance and ensure that your architectures are aligned with best practices across all six pillars.

For businesses looking to integrate Amazon Connect’s chat functionality, KeyCore provides comprehensive services to design, deploy, and manage customer engagement solutions that enhance service delivery and customer satisfaction.

Our specialists are also adept at architecting and deploying modern data solutions on AWS, enabling you to leverage advanced analytics and AI capabilities effectively. Partner with KeyCore to transform your data infrastructure and realize the full potential of your AWS investments.

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AWS Partner Network (APN) Blog

Transforming Teacher Development with AI-Driven Coaching Feedback

Steplab, in collaboration with AWS and BJSS, is revolutionizing teacher coaching through the utilization of AI-powered feedback. By integrating Amazon Bedrock and the Claude 3.5 Sonnet LLM, Steplab delivers personalized coaching feedback that significantly enhances teacher development. This innovative approach leverages machine learning to provide tailored insights, thus improving the educational experience for both teachers and students. As a result, educators are better equipped to address their unique challenges and strengths.

Mainframe Modernization with Accenture, AWS, and Generative AI

Accenture and Amazon Web Services (AWS) are at the forefront of mainframe modernization, utilizing generative AI to simplify the transition of legacy systems to cloud-based solutions. By migrating these systems, organizations can achieve improved agility and scalability. Generative AI plays a crucial role in automating complex processes, reducing the time and cost associated with modernization. This collaboration underscores the strategic benefits of transitioning to more flexible and open solutions in the cloud, ensuring that businesses can keep up with evolving technological demands.

Legacy App Modernization with Virtusa and AWS Generative AI

Virtusa, an AWS Premier Tier Services Partner, is leveraging generative AI through their Helio platform to transform legacy applications. By utilizing Amazon Q Developer Agent and Amazon Bedrock, Virtusa automates code transformation and documentation processes. This results in faster Java upgrades and mainframe migrations, while significantly reducing the costs and complexities traditionally associated with application modernization. The integration of AI accelerates transformation efforts, positioning businesses to be more competitive and efficient.

Celebrating AWS Ambassador Achievements

The AWS Ambassador Program recognizes influential AWS experts from the AWS Partner Network (APN) Services and Software Partners. These professionals excel in promoting AWS proficiency within their organizations and contribute thought leadership to the broader community. As part of a vibrant global community, AWS Ambassadors play a pivotal role in advancing cloud technology and innovation.

Enhancing Product Lifecycle Management with Boggl AI and Amazon Bedrock

Shellkode, an AWS Partner, collaborated with Boggl AI to enhance their product lifecycle management platform using Amazon Bedrock. This partnership resulted in improved data security, automation of product documentation, and a 60% increase in release cycle speed. By maintaining complete data privacy for customers, the collaboration ensured a secure and efficient product management process, highlighting the importance of AI in enhancing operational capabilities.

Optimizing DevOps on Amazon EKS with Devtron

Devtron significantly enhances the Amazon Elastic Kubernetes Service (EKS) by providing a simplified and unified interface for deployment, management, and observability of containerized applications. By streamlining complex Kubernetes workflows, Devtron empowers DevOps teams to focus on innovation rather than infrastructure. The toolset provided by Devtron accelerates workflows and improves resource management, bringing clarity to troubleshooting processes. This makes it an essential solution for businesses aiming to streamline their DevOps operations and boost efficiency.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy, offers both professional and managed services to assist organizations in harnessing the full potential of AWS solutions. Whether it’s modernizing legacy systems or optimizing DevOps with EKS and Devtron, KeyCore’s expert team provides tailored strategies to meet specific business needs. By leveraging our expertise, companies can streamline operations, enhance security, and drive innovation. Visit KeyCore to learn more about how we can transform your AWS journey.

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AWS Cloud Enterprise Strategy Blog

Digital transformation offers significant benefits such as improved efficiency, enhanced customer experiences, and maintaining competitive advantage. However, organizations often face challenges, especially in motivating employees to adopt new technologies and processes. An innovative solution to these challenges is gamification, which utilizes game-like elements to engage and motivate employees. By integrating gamification into digital transformation strategies, companies can drive higher adoption rates and foster a more collaborative and motivated workforce.

Gamification works by introducing goals, feedback, rewards, and competition into the workplace, similar to what is found in popular games. This method not only makes the learning and adoption process more enjoyable but also incentivizes employees to embrace change. The key is to design gamification strategies that align with organizational goals, ensuring that the playful elements contribute to business objectives.

Data Governance in the Age of Generative AI

As enterprise data continues to grow exponentially, organizations face both opportunities for innovation and challenges in data governance. A strong governance framework is essential for future-proofing and ensuring competitiveness. Effective data governance is built on four crucial pillars:

  • Data Visibility: Understanding data assets is vital for informed decision-making.
  • Access Control: A balance between accessibility and security is necessary to protect data while enabling productivity.
  • Data Quality: Ensuring data accuracy and consistency is fundamental for reliable analytics and insights.
  • Compliance: Adhering to regulatory requirements is indispensable for avoiding legal issues and maintaining trust.

Organizations leveraging generative AI must pay particular attention to these pillars to harness the full potential of their data. A robust governance framework not only protects sensitive information but also empowers teams to innovate with confidence.

Governing by Enabling: A Strategic Approach to Data Governance

For executives, balancing security with innovation is critical. Implementing compliance controls should not stifle productivity; instead, they should be seamlessly integrated behind intuitive self-service capabilities. This strategic approach empowers teams to leverage data efficiently while staying compliant with regulations.

By fostering a culture of data-driven decision-making, executives can enhance organizational agility and productivity. The focus is on enabling teams with the right tools and frameworks, ensuring that governance becomes a catalyst for innovation rather than a barrier.

How KeyCore Can Help

KeyCore provides comprehensive AWS consultancy services, supporting businesses in successfully navigating digital transformation and implementing effective data governance strategies. With our expertise in AWS solutions and gamification methodologies, we help organizations drive technology adoption and optimize data management practices. Our team can assist in building robust governance frameworks tailored to your needs, ensuring competitiveness and innovation capability.

Whether you need assistance with integrating gamification into your transformation strategy or establishing a solid data governance foundation, KeyCore offers the expertise and tools necessary for success. Learn more about our services at KeyCore.dk.

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AWS HPC Blog

High-performance computing (HPC) workflows require meticulous resource management to ensure efficiency and security. A recent post on the AWS HPC Blog delves into cross-account HPC cluster monitoring using Amazon EventBridge, providing a comprehensive guide to managing these extensive workflows effectively.

Customizable Reference Architecture

The article introduces a customizable reference architecture designed specifically for monitoring resource consumption across HPC clusters. This architecture focuses on maintaining security while gathering essential data, ensuring that only relevant information is sent to the monitoring account. By using Amazon EventBridge, users can seamlessly set up event-driven workflows that capture critical metrics and operational insights.

Security Without Compromise

Security remains a top priority when dealing with cross-account monitoring. The architecture described integrates stringent security measures to protect data integrity and privacy. By using Amazon EventBridge, users can specify fine-grained access controls and routing logic to ensure that sensitive information is not exposed unnecessarily.

Benefits of Cross-Account Monitoring

Implementing cross-account monitoring brings several benefits to HPC workflows. It enhances visibility into resource utilization, enabling better optimization and cost management. Additionally, it provides centralized monitoring that simplifies operational oversight and troubleshooting, reducing the time needed to identify and resolve potential issues.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in setting up and managing cross-account HPC cluster monitoring solutions. With our deep understanding of AWS services, we can help design and implement the most effective monitoring strategies tailored to specific business needs. Explore our professional services to optimize your HPC workflows with secure and efficient monitoring solutions.

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AWS Cloud Operations Blog

Implementing a Multi-Region Centralized Alerting System on AWS with Cigna

Cigna, in collaboration with Nicolas Trettel, Cloud Engineering Senior Advisor, has successfully developed a multi-region centralized alerting system using AWS. The criticality of monitoring applications and alerting on issues is well acknowledged in building resilient systems. Amazon CloudWatch plays a pivotal role in this system, offering comprehensive monitoring services for applications, responding efficiently to performance changes, optimizing resource usage, and providing crucial insights into operational health. By collecting data from various AWS resources, CloudWatch ensures enhanced visibility into system operations. This centralized alerting framework not only ensures timely response to incidents but also enhances overall system resilience.

Enhancing Compliance with AWS Config in AWS GovCloud for FedRAMP

Ensuring compliance in cloud operations is vital, especially for organizations operating under stringent regulations like FedRAMP. AWS Config, a fully managed service, assists customers by providing a comprehensive resource inventory, configuration monitoring, and timely configuration change notifications. These capabilities support security, governance, and compliance in AWS workloads. AWS Config rules define the desired states of resources, evaluating changes in near real-time, and maintaining a detailed compliance history. This functionality is particularly useful for achieving and maintaining FedRAMP compliance within the AWS GovCloud environment, making it easier for organizations to adhere to regulatory requirements efficiently.

Introducing Chaos Engineering in AWS Lambda Functions with AWS Fault Injection Service

As serverless technologies gain traction, particularly in regulated industries like financial services, ensuring system resilience becomes imperative. Chaos engineering has emerged as a fundamental practice to validate the robustness and availability of serverless applications. AWS Fault Injection Service now extends its capabilities to inject chaos into AWS Lambda functions. This process involves intentionally introducing failures and stressing components to uncover hidden vulnerabilities and confirm the fault tolerance of serverless systems. With the ability to simulate real-world disruptions, organizations can proactively address potential weaknesses, thereby enhancing the reliability of their serverless applications.

How KeyCore Can Assist

KeyCore offers expert guidance and support in optimizing AWS environments. With a focus on professional services and managed services, KeyCore can help organizations implement centralized alerting systems using Amazon CloudWatch, ensure regulatory compliance using AWS Config, and adopt chaos engineering practices with AWS Fault Injection Service. By leveraging KeyCore’s expertise, businesses can enhance their cloud operations, improve resilience, and maintain compliance effectively. Visit KeyCore’s website for more detailed information.

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AWS for Industries

Unlocking the Power of Data for Sustainable Water Management with AWS
Water scarcity is a global challenge exacerbated by rising populations and climate change. Efficient water management is essential for sustainability. AWS helps address this by providing data-driven solutions that enhance water management practices. The integration of AWS technology enables precise monitoring of water resources, optimizing usage and ensuring sustainability. By leveraging AWS’s robust data analytics capabilities, organizations can make informed decisions to manage water resources effectively.

Amazon Aurora for Core Banking Systems
Core banking systems are essential for processing transactions and maintaining customer records. Amazon Aurora offers a scalable, high-performance solution for banks, enabling seamless integration with existing systems. Aurora’s compatibility with MySQL and PostgreSQL allows easy migration and flexible deployment. Its security features ensure sensitive data is protected, while its scalability supports growing transaction volumes. Banks can enhance operational efficiency and customer experience by implementing Amazon Aurora.

Drive Operational Improvements with EasyEdge2Web on AWS IoT SiteWise
AWS IoT SiteWise is a key tool for manufacturers aiming to optimize operations. It handles industrial data storage and management, supporting complex asset models and time-series data. EasyEdge2Web enhances IoT SiteWise by providing intuitive dashboards and analytics, empowering manufacturers to gain actionable insights. This integration facilitates lean manufacturing processes, improving efficiency and decision-making capabilities. AWS’s scalable infrastructure supports diverse manufacturing environments, from small plants to large facilities.

How BMW Group and Qualcomm Built an Automated Driving Platform on AWS
The BMW Group has partnered with AWS to develop an advanced driver assistance system (ADAS) platform. This collaboration aims to innovate driving features for BMW’s next-generation vehicles, leveraging AWS’s cloud infrastructure. AWS provides the necessary computational power and storage capacity, enabling rapid data processing and analysis. This partnership emphasizes AWS’s role in automotive innovation, helping manufacturers create cutting-edge vehicle technologies.

AWS re:Invent 2024 – Powering Automotive and Manufacturing Innovation
AWS re:Invent 2024 will focus on automotive and manufacturing innovations. This event brings together industry leaders to explore AWS’s role in driving technological advancements. Attendees can participate in workshops, technical sessions, and networking events. The conference will showcase how AWS services empower industries to innovate and improve operational efficiency. Companies can gain valuable insights into leveraging AWS for their specific needs, enhancing competitiveness in their respective fields.

Accelerating Retail & Consumer Goods Industry Innovation with AWS at re:Invent
AWS re:Invent 2024 will also highlight innovations in the retail and consumer goods sectors. Participants can engage in hands-on sessions and hear from AWS leaders. The event will demonstrate how AWS solutions enhance customer experiences and streamline operations. Retailers and consumer goods companies can discover new technologies to drive growth and efficiency. AWS provides the tools and infrastructure necessary for these industries to thrive in a competitive market.

Accelerated Chip Verification Using AWS EC2 F1 and VeriFire
The demand for advanced chips in AI and ML applications is increasing. AWS EC2 F1 instances, combined with VeriFire, offer accelerated chip verification, reducing time-to-market. This solution leverages FPGA technology to handle complex verification tasks efficiently. Semiconductor companies can improve chip design and verification processes, gaining a competitive edge. AWS’s scalable infrastructure supports rapid iteration and testing, facilitating innovation in the semiconductor industry.

Serverless Remote Sensing Analytics for an Electric Utility Customer
Power and utility companies manage electricity provision across vast areas, often prone to wildfire risks. AWS provides serverless remote sensing analytics to monitor and mitigate these risks effectively. By integrating AWS services, utilities can analyze environmental data and predict potential fire hazards. This proactive approach enhances safety and reliability, ensuring uninterrupted power supply. AWS’s serverless architecture offers flexibility and cost efficiency, adapting to changing operational needs.

Revamping Procurement Operations with Generative AI–Powered Offer Analyst Solution on AWS
Generative AI is transforming procurement operations through innovative solutions like the Offer Analyst tool, developed with AWS and BCG. This AI solution empowers procurement specialists by analyzing market trends and optimizing purchasing decisions. It enhances efficiency and cost savings, streamlining procurement processes. Organizations can leverage AWS’s AI capabilities to drive strategic procurement initiatives, improving overall business performance.

How KeyCore Can Help
KeyCore, as a leading Danish AWS consultancy, offers expertise in implementing AWS solutions across various industries. KeyCore provides both professional and managed services, ensuring seamless integration and optimization of AWS technologies. Whether it’s enhancing water management, supporting core banking systems, or driving manufacturing innovation, KeyCore can tailor AWS solutions to meet specific industry needs. Our team of experts is ready to assist organizations in leveraging AWS to achieve their business objectives efficiently and effectively.

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AWS Messaging & Targeting Blog

In today’s digital landscape, businesses and organizations face the challenge of communicating effectively with customers and stakeholders across various channels. A common issue arises when information needs to be exchanged swiftly and reliably, extending beyond traditional email, especially when recipients lack immediate email access. To address this, Amazon provides a solution that integrates Amazon Simple Email Service (SES) with Amazon End User Messaging, creating a two-way Email-to-SMS service.

The Need for Multi-Channel Communication

Organizations often rely heavily on email for information dissemination, but it’s not always the most effective channel for immediate communication. Stakeholders might not have constant access to their email, which can delay the exchange of critical information. By incorporating SMS as an alternative channel, businesses can ensure that messages reach their audience quickly and effectively, addressing the immediacy that email alone cannot fulfill.

Leveraging AWS Services

Amazon SES is a robust cloud-based email sending service, enabling businesses to send marketing, notification, and transactional emails. When paired with Amazon End User Messaging, which encompasses services like Amazon Pinpoint and Amazon SNS, organizations can extend email communications to SMS. This integration allows for seamless two-way communication, where emails can trigger SMS messages and vice versa. The use of AWS services provides scalability, reliability, and cost-effectiveness, making it an ideal solution for businesses of all sizes.

Implementing the Solution

Implementing a two-way Email-to-SMS service involves configuring Amazon SES to send emails and setting up Amazon SNS or Amazon Pinpoint to handle SMS messaging. Organizations can create workflows where incoming emails are processed by AWS Lambda functions, which then trigger SMS messages to the intended recipients. This setup ensures that businesses maintain continuous communication flow, regardless of the recipient’s preferred communication channel.

KeyCore’s Expertise

KeyCore, Denmark’s leading AWS Consultancy, can assist organizations in deploying and optimizing a two-way Email-to-SMS solution effectively. With extensive experience in AWS services, KeyCore offers tailored solutions that align with business goals, ensuring seamless integration and management of multi-channel communication systems. KeyCore’s professional and managed services provide the expertise needed to maximize the benefits of AWS technologies, enhancing communication strategies for businesses.

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AWS Marketplace

The article delves into methods for streamlining workflow efficiency through advanced notification setups within AWS Private Marketplace. It highlights two main approaches aimed at optimizing the approval process for product requests.

Email Notifications with AWS User Notifications

One of the featured solutions involves configuring email notifications using AWS User Notifications. This method allows stakeholders to receive timely updates on the status of product requests, whether they are approved or declined. The approach enhances transparency and speeds up decision-making processes by ensuring that all relevant parties are informed promptly.

Integrating with IT Workflows through Amazon EventBridge

The second approach discussed involves setting up Amazon EventBridge rules. This integration facilitates the reception of specific events related to product requests. By leveraging EventBridge, organizations can seamlessly incorporate these notifications into their existing IT workflows, ensuring that the right team members are alerted and that appropriate actions are automated. This integration not only reduces manual intervention but also minimizes the risk of delays and errors in the approval process.

Business Value

Implementing these notification strategies in the AWS Private Marketplace can significantly enhance operational efficiency. Organizations can reduce bottlenecks in the approval process, improve communication between departments, and streamline their procurement workflows. These improvements lead to faster time-to-market for new tools and solutions, ultimately supporting organizational agility and competitiveness.

How KeyCore Can Help

At KeyCore, we specialize in helping businesses harness the full power of AWS services. Whether it’s setting up sophisticated notification systems or integrating AWS solutions into your existing IT infrastructure, our team of experts can provide tailored assistance. We ensure that your AWS Private Marketplace configurations not only meet your current needs but also scale with your growing business requirements. Learn more about our professional and managed services at KeyCore.

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

In the realm of AWS security, identity, and compliance, several noteworthy updates and best practices have emerged, enhancing the way organizations manage vulnerabilities, secure data for AI applications, and understand unauthorized access tactics. These advancements are crucial for maintaining robust security postures and compliance with industry standards.

Amazon Inspector Suppression Rules Best Practices

Vulnerability management is essential for safeguarding an organization’s sensitive data and infrastructure. Amazon Inspector’s suppression rules are designed to help AWS Organizations manage vulnerabilities more effectively. These rules allow organizations to tailor vulnerability detection and response strategies, ensuring that the most critical threats are prioritized. A comprehensive risk assessment is necessary to evaluate vulnerabilities and their impact on business operations. By implementing best practices, organizations can mitigate risks and align security measures with business goals.

Data Authorization in Generative AI Applications

As AI technologies evolve, securing data used in generative AI applications becomes increasingly important. Data authorization, distinct from user authorization, plays a vital role in business workload architectures. With generative AI, internal data sources can enrich model outputs through large language models (LLMs) and multimodal foundation models (FMs). To ensure robust security, organizations must implement effective data authorization mechanisms that protect sensitive data while leveraging AI advancements. This approach not only enhances security but also maximizes the value derived from AI applications.

Spotlight on Unauthorized Access Tactics

Understanding unauthorized access tactics is critical for maintaining security in the cloud. One notable tactic involves gaining initial access through third-party identity providers. Under AWS’s shared responsibility model, customers are tasked with selecting and managing services that influence their security posture. By recognizing and mitigating such unauthorized tactics, organizations can better protect their environments. This involves careful configuration of identity and access management (IAM) solutions and maintaining vigilant monitoring practices.

These insights underscore the dynamic nature of AWS security landscapes and the importance of staying informed about the latest practices and technologies.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is equipped to assist organizations in implementing these security measures. With expertise in AWS solutions, KeyCore can guide organizations through developing effective vulnerability management strategies using Amazon Inspector. Additionally, KeyCore’s consultants can provide tailored solutions for securing data in generative AI applications and help organizations navigate the complexities of IAM configurations to mitigate unauthorized access risks. By partnering with KeyCore, businesses can enhance their AWS security posture and achieve compliance with ease.

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AWS Contact Center

In the ever-evolving realm of contact centers, Amazon Connect emerges as a transformative solution, particularly through its advanced features like Contact Lens and the integration of generative AI. These innovations are unlocking new efficiencies and cost savings for businesses globally, as illustrated in recent case studies.

Enhancing VoC Analysis with Generative AI

Generative AI is revolutionizing Voice of Customer (VoC) analysis by offering a 60% faster processing capability in Japanese language contexts, thanks to Amazon Connect Contact Lens. Utilizing the latest Large Language Model (LLM) technology, businesses are now able to dissect and understand customer sentiments with unprecedented speed and accuracy. This approach is markedly superior to traditional methods, empowering contact centers to swiftly translate customer feedback into actionable insights. The integration of generative AI into VoC analysis not only enhances understanding but also improves decision-making processes, ultimately leading to enhanced customer satisfaction and operational efficiency.

Cost Efficiency with Cloud Migration: The ANA X Case Study

ANA X exemplifies the cost-saving potential of transitioning to a cloud-based contact center solution. By migrating from a conventional on-premises PBX system to Amazon Connect, ANA X achieved a remarkable 58% reduction in operational costs. This transition to the cloud has not only provided financial benefits but also improved system flexibility and scalability. The successful experience of ANA X demonstrates the feasibility for other businesses to undertake similar migrations. With Amazon Connect, organizations can harness comprehensive options and expertise to independently manage their system transitions, paving the way for streamlined operations and significant cost efficiencies in the contact center domain.

How KeyCore Can Assist

At KeyCore, we specialize in guiding businesses through their journey with AWS solutions like Amazon Connect. Our team of experts can assist in integrating advanced AI technologies for enhanced VoC analysis, ensuring faster and more accurate customer insights. Additionally, KeyCore provides comprehensive support for cloud migration projects, like those undertaken by ANA X, enabling businesses to achieve substantial cost savings and operational improvements. Whether it is through professional services or managed support, KeyCore is your partner for optimizing contact center operations with AWS.

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Innovating in the Public Sector

Malcolm on Amazon EKS: Enhancing Network Security

Malcolm, developed by the Cybersecurity and Infrastructure Security Agency (CISA), is an open-source suite designed for network traffic analysis. It is instrumental in improving network security monitoring and incident response for both public and private sectors. Key functionalities of Malcolm include incident response, threat hunting, and network monitoring. Additionally, Malcolm can be effectively deployed on Amazon Elastic Kubernetes Service (Amazon EKS), offering a scalable and flexible environment for various use cases and organizational needs.

Addressing Water Challenges with AWS Cloud Solutions

As water resources face unprecedented challenges due to climate change and demographic shifts, AWS cloud-based technologies have emerged as vital tools. Particularly in regions such as Europe, the Middle East, and Africa, these technologies provide innovative solutions to manage and tackle water issues. AWS offers scalable, data-driven approaches that enable organizations to better understand and respond to dynamic water challenges, ensuring sustainable management for future generations.

European Commission’s Public Procurement Transformation

To overcome fragmentation and streamline public procurement processes, the European Commission has initiated the Public Procurement Data Space (PPDS). This initiative aims to consolidate and facilitate public procurement data access across the European Union. AWS, in collaboration with AWS Partner NTT DATA, is responsible for implementing this transformative project. The PPDS will enhance transparency, access, and efficiency across the EU, supporting better decision-making in public procurement.

UNSW’s Electric Race Car Innovation with AWS

The students of Redback Racing at the University of New South Wales (UNSW) have showcased their engineering excellence by creating electric race cars RB23 and RB21-D in 2023. Utilizing AWS for real-time telemetry systems, the team achieved the highest Australian ranking in the Australasia Formula SAE competition, placing second overall. This initiative highlights the power of AWS in supporting innovation and excellence in student-led engineering projects.

How KeyCore Can Assist

KeyCore offers expert guidance and solutions to implement AWS services tailored to specific organizational needs. Whether enhancing network security with Malcolm on Amazon EKS, addressing environmental challenges with scalable cloud solutions, transforming data processes with AWS, or supporting innovative student projects, KeyCore provides the expertise to drive successful outcomes. Our services ensure organizations are equipped with the latest AWS technologies to achieve their goals effectively.

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AWS Open Source Blog

In the competitive world of software development, containerization stands out as a critical tool for building and deploying applications. With the integration of all necessary tools and dependencies into a singular container, developers can easily establish and duplicate development environments across different machines. This article delves into Finch’s support for development containers and the Finch Daemon, exploring how these features enhance developer productivity.

The Role of Containerization

Containerization encapsulates all application dependencies, ensuring consistency across development, testing, and production environments. This is vital for reducing the “it works on my machine” problem, streamlining development processes, and enhancing team collaboration. Developers benefit from faster onboarding, as pre-configured containers eliminate the need for manual setup, allowing them to focus on writing and improving code.

Finch’s Support for Development Containers

Finch provides robust support for development containers, offering developers a seamless experience in managing and running these containers. By simplifying the process of building container images and executing them, Finch empowers developers to quickly iterate and test their applications. This support is crucial for maintaining high productivity levels, as it reduces the complexity and overhead associated with managing containerized environments.

Introducing the Finch Daemon

The Finch Daemon plays a pivotal role in container management, acting as a background service that facilitates the execution and monitoring of containers. It enhances developer workflows by providing automation capabilities, thereby minimizing the need for manual intervention. This allows teams to focus more on developing features and less on managing infrastructure, ultimately speeding up the development cycle.

Business Value and KeyCore’s Expertise

For businesses, leveraging Finch’s capabilities in container management translates to faster time-to-market, improved application quality, and reduced operational costs. KeyCore can help organizations harness these benefits by providing expert guidance on integrating Finch into existing workflows. With our deep knowledge of AWS services and containerization strategies, we offer tailored solutions that align with business objectives, ensuring optimal productivity and agility.

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