Fine-Tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

In fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock, organizations can enhance AI models by defining use cases, preparing data accurately, customizing models to specific needs, and evaluating performance effectively. Key practices involve clear use case definitions and rigorous data preparation. Model customization aligns AI capabilities with business goals, while performance evaluation ensures the model meets desired standards. These steps collectively optimize the model’s efficiency and effectiveness, enhancing its applicability in real-world scenarios.

Cost Management with Amazon Bedrock

Amazon Bedrock introduces a new feature for tracking and managing generative AI costs through tagging. These tags align AI model usage with organizational structures like cost centers and business units. This capability aids in better financial planning and resource allocation, providing businesses with insight into their AI expenditure. By tagging models, organizations can monitor deployment costs more accurately, leading to informed budget decisions and optimizing resource use across diverse applications.

Environmental Sustainability in Clinical Trials

AWS empowers the advancement of environmental sustainability in clinical trials by supporting decentralized trial designs. The four main pillars—virtual trials, personalized patient engagement, patient-centric trial design, and centralized data management—are enhanced with AWS technologies. By integrating these approaches, organizations can conduct research in a more eco-friendly manner, reducing the carbon footprint associated with traditional trial methods. This not only supports green initiatives but also increases the reach and inclusivity of clinical research.

Amazon Q and Google Drive Integration

Amazon Q offers a seamless way to integrate with Google Drive, enabling enterprises to search and access content efficiently. The configuration involves setting up authentication and ensuring secure indexing of Drive content. This integration facilitates better data management and retrieval, allowing organizations to harness the full potential of their stored information. By leveraging Amazon Q, businesses can enhance productivity and streamline access to critical documents.

Druva’s AI Copilot with Amazon Bedrock

Through Amazon Bedrock, Druva tackled the complexities of building their AI copilot, Dru. The focus was on natural language querying (NLQ), where users can pose questions in English and receive tabular data responses. Druva encountered challenges in model complexity and addressed these through strategic use of Amazon Bedrock, ensuring robust data resilience. The initiative resulted in efficient data querying, showcasing the potential of integrating AI in operational frameworks.

Google Chat Integration with Amazon Bedrock

Amazon Bedrock enables the development of custom AI applications for integration with platforms like Google Chat. By leveraging generative AI services, businesses can create AI chat-based assistants tailored to specific needs. These applications enhance collaborative tools, offering dynamic responses based on customer document knowledge. Such integrations foster improved communication and efficiency within organizational workflows, making collaboration tools more intelligent and responsive.

Gmail Insights with Amazon Q Business

Using the Gmail connector for Amazon Q Business, organizations can extract valuable insights from their Gmail accounts. This integration taps into Gmail’s potential within Google Workspace, allowing businesses to analyze emails for critical information. By leveraging Amazon Q, enterprises can enhance decision-making processes and improve information accessibility across departments, ultimately driving productivity and informed business strategies.

Accelerating Labeling with Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth accelerates labeling workflows crucial for training datasets in AI applications. By integrating human annotators with machine learning, it significantly reduces both time and costs associated with labeling. This synergy enhances the quality of training datasets, vital for applications like LLMs and generative AI. Ground Truth’s efficiency facilitates rapid development and deployment of AI models across diverse industry needs.

Voice-Driven Knowledge Capture with Amazon Transcribe

Amazon Bedrock and Transcribe power an innovative voice-based workflow for capturing organizational knowledge. The solution converts speech to text in real-time, documenting expert insights effectively. Generative AI analyzes this content, summarizing key insights and generating comprehensive documentation. This approach not only enhances knowledge retention but also facilitates the systematic capture of valuable institutional wisdom, supporting continuous learning and improvement.

Resiliency in AI Chatbots with Amazon Lex

Amazon Lex now offers Global Resiliency, enabling real-time replication of chatbots across AWS Regions. This feature ensures high availability and disaster recovery capabilities for conversational AI applications. By synchronizing resources globally, businesses can maintain consistent service quality and minimize downtime. This resiliency is crucial for enterprises relying on chatbots for customer interaction, ensuring seamless operations worldwide.

Fine-Tuning Sentence Transformers for Better Classification

The post highlights the process of fine-tuning sentence transformers for enhanced classification accuracy. By comparing models like paraphrase-MiniLM-L6-v2 with Amazon’s proprietary M5_ASIN_SMALL_V2.0, it demonstrates improved categorization capabilities. This fine-tuning process optimizes model performance for specific tasks, making them more accurate and effective. Tailored model adjustments are essential for applications requiring precise classification, such as product categorization.

Custom Observability for Generative AI Applications

Amazon Bedrock users can now implement a custom observability solution to monitor and evaluate their AI applications. This system offers detailed insights into application performance, enabling continuous improvement. By integrating this observability framework, businesses can maintain control over their AI applications, ensuring they meet operational standards and adapt to changing demands effectively. This proactive approach to monitoring supports robust application management and optimization.

Automating Bedrock Batch Inference

To maximize Amazon Bedrock’s batch inference potential, a scalable pipeline solution has been developed. This involves using AWS Lambda and Amazon DynamoDB to manage job queues, ensuring efficient job submissions. Automating batch inference enhances model deployment capabilities, optimizing resource usage and increasing operational efficiency. This approach allows businesses to leverage AWS’s scalable infrastructure for broader AI applications without resource bottlenecks.

Video Insights and Summarization Engine

Amazon Bedrock facilitates the creation of a video insights and summarization engine, enhancing call analysis. By uploading meeting recordings, the engine extracts transcripts, generates summaries, and provides sentiment analysis. This functionality supports improved decision-making and performance metrics tracking in environments like sales or call centers. The centralized data approach enables businesses to derive actionable insights from communication data effectively.

Document Processing Automation with Amazon Bedrock

Amazon Bedrock Prompt Flows previews a streamlined approach for document processing automation. This service provides a visual builder for creating generative AI workflows, allowing businesses to adapt quickly to changing requirements. By automating data extraction and processing, enterprises can enhance operational efficiency and support evolving business needs. This automation capability is crucial for managing large volumes of documentation effectively.

ML Lifecycle Governance with SageMaker and CloudWatch

Centralized observability is key in governing the ML lifecycle at scale, as demonstrated by Amazon SageMaker and CloudWatch integration. A multi-account strategy enhances governance and operational efficiency, allowing businesses to manage ML workloads systematically. This framework supports proactive monitoring and management of models, ensuring compliance and performance standards are maintained across different organizational levels.

No-Code ML with Amazon SageMaker Canvas

Amazon SageMaker Canvas offers a no-code interface for ML, integrating data from GCP BigQuery without data movement. By utilizing Amazon Athena Federated Query and SageMaker Data Wrangler, enterprises can streamline data preparation and ML model building. This approach reduces complexity and enhances accessibility, enabling organizations to leverage their data assets for machine learning without extensive technical overhead.

Real-Time Batch Inference Monitoring

Amazon SageMaker’s customized model monitoring framework allows for near real-time inference oversight. By handling multi-payload requests, this system ensures model quality, enabling early detection of deviations. Proactive actions such as retraining are triggered, maintaining high standards and reducing manual monitoring efforts. This framework supports efficient and reliable deployment of ML models in production environments.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expert guidance and support for implementing AWS solutions tailored to specific business needs. With deep expertise in AWS technologies like Amazon Bedrock, SageMaker, and Transcribe, KeyCore can help organizations optimize their AI and ML strategies. Whether it’s fine-tuning models, integrating AI into business workflows, or enhancing data governance, KeyCore’s services ensure robust and scalable solutions, driving innovation and efficiency across various industries

Read the full blog posts from AWS

• Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock
• Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock
• Advance environmental sustainability in clinical trials using AWS
• Use Amazon Q to find answers on Google Drive in an enterprise
• How Druva used Amazon Bedrock to address foundation model complexity when building Dru, Druva’s backup AI copilot
• Create a generative AI–powered custom Google Chat application using Amazon Bedrock
• Discover insights from Gmail using the Gmail connector for Amazon Q Business
• Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda
• Unlock organizational wisdom using voice-driven knowledge capture with Amazon Transcribe and Amazon Bedrock
• Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex
• Create and fine-tune sentence transformers for enhanced classification accuracy
• Empower your generative AI application with a comprehensive custom observability solution
• Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline
• Build a video insights and summarization engine using generative AI with Amazon Bedrock
• Automate document processing with Amazon Bedrock Prompt Flows (preview)
• Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch
• Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas
• Customized model monitoring for near real-time batch inference with Amazon SageMaker

Announcements, Updates, and Launches

Fine-Tuning for Anthropic’s Claude 3 Haiku Model

The Claude 3 Haiku model, developed by Anthropic, is now fully integrated with Amazon Bedrock, offering users enhanced control and precision through fine-tuning capabilities. This advancement allows businesses to tailor the model to meet specific needs, improving both accuracy and customization for various applications. By leveraging Bedrock’s robust framework, users can unlock the full potential of Claude 3 Haiku, optimizing the AI’s performance for their unique requirements. Learn more about Amazon Bedrock and model fine-tuning.

AWS Supply Chain Analytics for Actionable Insights

Amazon has introduced AWS Supply Chain Analytics powered by Amazon QuickSight, a tool designed to transform supply chain management through detailed data insights. This service enables organizations to visualize data and create custom reports, uncovering hidden patterns and trends within their supply chain operations. By utilizing these insights, businesses can make more informed decisions, optimize processes, and improve overall efficiency. Discover how AWS Supply Chain Analytics can enhance your strategic planning by visiting Amazon QuickSight.

Amazon Aurora PostgreSQL Limitless Database

Amazon Aurora has launched its Limitless Database offering for PostgreSQL, now generally available. This solution allows for unprecedented horizontal scaling, enabling massive write throughput and storage capabilities. It works by distributing workloads across multiple Aurora instances while maintaining compatibility with standard PostgreSQL queries and syntax. Organizations can now leverage this scalability to handle extensive data workload demands with ease. Explore Amazon Aurora’s capabilities.

Enhancing Amazon S3 Static Website Hosting with AWS Amplify Hosting

AWS Amplify Hosting has simplified the process of deploying static websites on Amazon S3. This service provides a streamlined configuration, supports custom domains, SSL, CDN integration, and one-click updates, making it an efficient solution for hosting static sites. Businesses focusing on rapid deployment and enhanced performance can benefit significantly from this offering. For more information, visit AWS Amplify Hosting.

Celebrating a Decade of Amazon ECS Innovation

Amazon ECS marks its 10-year anniversary, celebrating a decade of innovation in containerized solutions. Since its inception, ECS has evolved from simplifying container orchestration to supporting large-scale operations like Amazon’s Prime Day. It has enabled companies such as SmugMug to seamlessly migrate petabytes of data, offering “blazingly-fast” performance and efficient scalability. Explore how Amazon ECS has revolutionized container management over the years at Amazon ECS.

AWS Weekly Roundup Highlights

The AWS Weekly Roundup from October 28, 2024, showcased notable advancements and events, including a new code editor in the AWS Lambda console and enhancements to Amazon Q Business analytics. Noteworthy was the global 24 Hours of Amazon Q live stream event, which provided insights and demos across various AWS services. This event underscored AWS’s commitment to continuous learning and innovation. Stay updated with the latest AWS developments by visiting AWS Blog.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, provides expert guidance and support in leveraging these AWS innovations to drive business success. Our team can assist with the integration and customization of AI models like Claude 3 Haiku, optimize supply chain analytics, and implement scalable database solutions. Additionally, we offer comprehensive services for static website hosting and container management with AWS. Contact KeyCore to elevate your AWS experience and achieve your strategic goals.

Read the full blog posts from AWS

• Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available
• Unlock the potential of your supply chain data and gain actionable insights with AWS Supply Chain Analytics
• Amazon Aurora PostgreSQL Limitless Database is now generally available
• Simplify and enhance Amazon S3 static website hosting with AWS Amplify Hosting
• Celebrating 10 Years of Amazon ECS: Powering a Decade of Containerized Innovation
• AWS Weekly Roundup: New code editor in AWS Lambda console, Amazon Q Business analytics, Claude 3.5 upgrades, and more (October 28, 2024)

Containers

AWS re:Invent 2024 is set to be an exciting event, particularly for those interested in serverless containers. This annual conference, renowned as a hub for cloud computing innovation, will focus this year on Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. These services are integral for deploying and managing containerized applications without the need to manage servers, offering significant benefits in terms of productivity and cost optimization.

Latest Trends and Innovations

The ECS and Fargate teams will highlight the latest trends and innovations impacting the realm of serverless containers. Attendees can expect insights into new capabilities that streamline container management, enhance security, and improve operational efficiency. These advancements are crucial for businesses looking to accelerate their cloud adoption journey while ensuring seamless scalability and reduced overhead.

Best Practices for Cost Optimization and Agility

A significant focus will be on best practices that not only optimize costs but also increase business agility. Serverless containers are inherently designed to help businesses pay only for the compute resources they use, thereby reducing unnecessary expenditure. By sharing real-world use cases and success stories, the sessions aim to equip participants with strategies to maximize their investment in serverless technologies.

Enhancing Productivity

One of the core advantages of serverless containers is the boost in productivity they offer. By removing the complexity of managing infrastructure, teams can focus more on developing and deploying applications. The re:Invent sessions will cover tips and techniques to leverage AWS services effectively, empowering developers to innovate and deliver solutions faster.

How KeyCore Can Help

KeyCore is well-positioned to assist businesses in navigating the complexities of serverless containers. As Denmark’s leading AWS consultancy, KeyCore offers professional and managed services tailored to leverage ECS and Fargate. Whether optimizing existing container setups or migrating to a serverless architecture, KeyCore’s experts provide the guidance and support necessary to achieve business objectives efficiently.

Read the full blog posts from AWS

• Serverless containers at AWS re:Invent 2024

Official Database Blog of Amazon Web Services

Using DAO for LLM Training Data Governance

The series on using a Decentralized Autonomous Organization (DAO) for governing the training data of AI models presents a comprehensive solution incorporating blockchain and serverless technologies. Initially, the series introduces the DAO concept, highlighting its potential to manage AI model lifecycles and training data ingestion. In the second part, the focus shifts to the creation and deployment of a minimalistic smart contract on the Ethereum Sepolia testnet using tools like Remix and MetaMask. This smart contract establishes control over data uploads to the knowledge base.

Part three of the series details setting up Amazon API Gateway and deploying AWS Lambda functions to facilitate data transfer from the InterPlanetary File System (IPFS) to Amazon S3, initiating knowledge base ingestion jobs. This ensures a seamless data pipeline from IPFS to the knowledge base. The final part emphasizes MetaMask authentication configuration, the creation of a frontend interface, and comprehensive testing of the complete solution, thereby enhancing security and usability in managing training data.

Accelerating Vector Embeddings with pgvector on Amazon Aurora

Amazon Aurora now supports pgvector version 0.7.0, an extension for PostgreSQL that significantly enhances vector similarity searches, a crucial component in generative AI applications. The inclusion of parallelism in this version boosts the performance of building Hierarchical Navigable Small Worlds, making it possible to load vector embeddings up to 67 times faster. This advancement is instrumental for businesses leveraging semantic search and retrieval-augmented generation (RAG) in AI-driven solutions.

By optimizing the underlying database operations within Amazon Aurora, organizations can achieve more efficient and swifter data processing, which is essential for AI applications that depend on quick retrieval of information. This capability enables businesses to improve AI model performance and user experience significantly.

Dafiti’s Database Migration to Amazon Aurora MySQL

Dafiti, a leading ecommerce platform in Latin America, undertook a strategic migration from MySQL Server 5.7 hosted on Amazon EC2 to Amazon Aurora MySQL, aiming to enhance its database performance, resilience, and operational efficiency. This move addressed critical business needs for reliability and availability in a highly competitive retail environment.

The migration process demonstrated the advantages of Aurora MySQL-Compatible, such as reduced downtime and improved database resilience. For Dafiti, this transition meant better resource management and enhanced data handling capabilities, empowering them to maintain high service levels and customer satisfaction in an increasingly digital market.

Creating Streaming ETL Pipelines with Amazon MSK

For organizations managing transactional databases on Amazon RDS, building efficient streaming ETL pipelines is crucial for real-time data processing. This post outlines the architecture for constructing a streaming data pipeline using Amazon Managed Streaming for Apache Kafka (Amazon MSK), which offers a fully managed solution for ingesting and processing streaming data.

Implementing a streaming ETL pipeline with Amazon MSK allows businesses to streamline data flow from source to destination, such as Amazon Redshift. This capability enhances real-time data analytics, providing timely insights and enabling decision-makers to act swiftly, thereby driving business growth and innovation.

Embedding Text Data in Amazon RDS for SQL Server

This post explores generating vector embeddings from Wikipedia data stored in Amazon RDS for SQL Server, using Amazon Bedrock to invoke necessary foundation model (FM) APIs. This process aids in enriching generative AI applications by integrating domain-specific knowledge with broad foundation models.

By utilizing Amazon Bedrock and Amazon SageMaker Jupyter Notebooks, businesses can streamline embedding generation workflows, enhancing AI model capabilities. This leads to improved customer interactions and better AI-driven insights, ultimately fostering more personalized and efficient user experiences.

KeyCore’s Expertise in Implementing AWS Solutions

KeyCore, as a leading AWS consultancy in Denmark, offers expert guidance and implementation services across all these areas. Whether it’s deploying DAOs for data governance, optimizing vector embeddings on Amazon Aurora, or migrating critical databases like Dafiti, KeyCore delivers tailored solutions to meet specific business needs. Our expertise in AWS services ensures seamless integration and maximizes the return on investment for cloud strategies. Contact us to find out how we can help transform your data management and AI capabilities using AWS.

Read the full blog posts from AWS

• Use a DAO to govern LLM training data, Part 4: MetaMask authentication
• Use a DAO to govern LLM training data, Part 3: From IPFS to the knowledge base
• Use a DAO to govern LLM training data, Part 2: The smart contract
• Use a DAO to govern LLM training data, Part 1: Retrieval Augmented Generation
• Load vector embeddings up to 67x faster with pgvector and Amazon Aurora
• How Dafiti migrated its most critical database to Amazon Aurora MySQL with minimal downtime and improved operational efficiency
• Build a streaming ETL pipeline on Amazon RDS using Amazon MSK
• Embed textual data in Amazon RDS for SQL Server using Amazon Bedrock
• Modernize your legacy databases with AWS data lakes, Part 1: Migrate SQL Server using AWS DMS
• Performance testing MySQL migration environments using query playback and traffic mirroring – Part 3
• Performance testing MySQL migration environments using query playback and traffic mirroring – Part 2
• Performance testing MySQL migration environments using query playback and traffic mirroring – Part 1
• Use HammerDB to run performance tests on Amazon RDS for Db2
• Schedule modifications of Amazon RDS using Amazon EventBridge Scheduler and AWS Lambda
• How Claroty Improved Database Performance and Scaled the Claroty xDome Platform using Amazon Aurora Optimized Reads

AWS Training and Certification Blog

Darrin Long, once facing burnout and unemployment within the tech industry, found new inspiration through the AWS Cloud Institute. This comprehensive virtual training program sparked his interest and curiosity in cloud computing, offering him a pathway to a promising career transition.

Discovering a New Passion

Darrin’s situation was not uncommon in the fast-paced tech world, where professionals often face exhaustion and uncertainty. During this challenging period, Darrin stumbled upon AWS Cloud Institute, igniting a newfound passion for cloud technologies. This discovery marked the beginning of his journey into the expansive world of cloud computing, reshaping his career trajectory.

A Structured Learning Path

The AWS Cloud Institute provides a structured curriculum designed to equip learners with the essential skills needed in the cloud industry. This well-organized program includes both theoretical and practical components, ensuring that students like Darrin gain hands-on experience that is critical for real-world applications. The program’s methodical approach allows learners to progressively build their expertise, setting a solid foundation for their future careers.

Support from Seasoned Instructors

One of the key features of AWS Cloud Institute is the access to seasoned instructors who guide students throughout their educational journey. These experts provide invaluable mentorship and support, helping learners to navigate the complexities of cloud computing with confidence. For Darrin, this support system was instrumental in his revitalization, enabling him to overcome challenges and embrace his potential in this dynamic field.

The Path Forward

With the knowledge and skills gained from the AWS Cloud Institute, Darrin Long is now well-prepared to embark on a successful career in cloud computing. The program not only provided him with the necessary technical expertise but also renewed his enthusiasm and confidence. As he continues his journey, Darrin’s story serves as an inspiration for others facing similar circumstances, highlighting the transformative power of education and the vast opportunities within the cloud industry.

How KeyCore Can Assist

At KeyCore, we understand the importance of continuous learning and upskilling in the ever-evolving tech landscape. Our team is equipped to support individuals and organizations in their cloud journeys, offering professional services and managed services tailored to their needs. Whether it’s through training, consulting, or cloud migration, KeyCore can help you harness the full potential of AWS and transform your visions into reality.

Read the full blog posts from AWS

• Darrin Long’s journey into the cloud with AWS Cloud Institute

Microsoft Workloads on AWS

Organizations are increasingly turning to cloud solutions to enhance their operations, with VMware to AWS migration being a popular strategy. Trianz’s Rapid Migration Offer (RMO) provides a streamlined approach to facilitate this transition, offering enterprises a faster and more efficient migration process. The collaboration between Trianz and AWS focuses on seamless cloud adoption, leveraging the Concierto platform as a central enabler.

Streamlined Migration with Concierto Platform

The Concierto platform is pivotal in this migration process. It helps automate and streamline various tasks involved in transitioning from VMware environments to AWS. By centralizing these operations, Concierto reduces the complexity and time typically associated with cloud migrations. This efficiency allows enterprises to focus more on strategic initiatives rather than getting bogged down in technical migration details. The platform also ensures that businesses can maintain operational continuity during the migration, minimizing disruptions.

Business Value of AWS Migration

Migrating workloads to AWS offers substantial business benefits. It not only accelerates innovation by providing scalable and flexible infrastructure but also reduces operational costs through pay-as-you-go models. Additionally, enterprises can leverage AWS’s wide range of services to enhance their digital capabilities, driving competitive advantage in the market. The automation and efficiency provided by Trianz via the Concierto platform further augment these benefits, offering a compelling proposition for businesses looking to modernize their IT landscape.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, can support organizations in leveraging the advantages of Trianz’s Rapid Migration Offer. With expert knowledge in AWS services and cloud migration strategies, KeyCore can tailor migration plans to meet specific business needs. Our team can handle complex migrations, ensuring a smooth transition with minimal risk. By partnering with KeyCore, businesses can unlock the full potential of AWS while focusing on their core operations, ultimately achieving seamless digital transformation.

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Read the full blog posts from AWS

• Accelerate VMware to AWS Migration with Trianz’s Rapid Migration Offer and Concierto platform

Official Big Data Blog of Amazon Web Services

Read the full blog posts from AWS

• Fine-grained access control in Amazon EMR Serverless with AWS Lake Formation
• Integrate Amazon Bedrock with Amazon Redshift ML for generative AI applications
• How Volkswagen Autoeuropa built a data mesh to accelerate digital transformation using Amazon DataZone
• Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone
• Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more
• Modernize your legacy databases with AWS data lakes, Part 3: Build a data lake processing layer
• Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg
• Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy
• Improve OpenSearch Service cluster resiliency and performance with dedicated coordinator nodes
• Control your AWS Glue Studio development interface with AWS Glue job mode API property
• How BMW streamlined data access using AWS Lake Formation fine-grained access control

Networking & Content Delivery

Read the full blog posts from AWS

• Amazon VPC Lattice DNS migration strategies and best practices
• Accelerate IPv6 application migration with AWS PrivateLink and dual stack Network Load Balancers UDP support
• Improving security and performance with additional DNS resource record types in Amazon Route 53

AWS Compute Blog

Enhanced Local IDE Experience for AWS Lambda Developers

AWS has introduced improved capabilities for AWS Lambda developers working within local Integrated Development Environments (IDEs). This enhancement specifically targets Visual Studio Code (VS Code) users, aiming to streamline the development process of Lambda-based applications.

Overview of the New Features

The enhanced local IDE capabilities are integrated into the AWS Toolkit for Visual Studio Code. This toolkit empowers developers to effectively author, build, debug, test, and deploy Lambda applications, all from within their familiar local environment. By leveraging these enhancements, developers can achieve a more seamless and efficient workflow when working on serverless projects.

Technical Advancements

The new features provide a more robust framework for handling AWS Lambda operations directly from VS Code. Key improvements include more intuitive debugging tools that allow developers to simulate Lambda executions, improved testing frameworks that support real-time testing scenarios, and streamlined deployment processes that integrate effortlessly with AWS environments. These advancements ensure that developers can focus on writing quality code without the overhead of complex deployment processes.

Business Value of Enhanced IDE Features

By enhancing the local IDE experience, AWS significantly reduces development time and increases productivity for businesses utilizing Lambda functions. This leads to quicker iterations and faster time-to-market for applications. For organizations adopting serverless architectures, these improvements can result in cost savings and more efficient resource allocation, as developers are equipped with the tools they need to operate more effectively.

How KeyCore Can Assist

KeyCore offers expert guidance for businesses looking to maximize the potential of AWS Lambda and the newly enhanced IDE features. Our team provides both professional and managed services to help integrate these tools into your development processes, ensuring seamless operation and optimal performance. Whether it’s through custom consultations or hands-on development support, KeyCore can help your organization leverage the latest AWS innovations to achieve business goals more efficiently.

Read the full blog posts from AWS

• Introducing an enhanced local IDE experience for AWS Lambda developers

Integration & Automation

Read the full blog posts from AWS

• Automate security scans on Amazon EKS with Kubescape, AWS CodeBuild, and AWS CodePipeline

AWS Storage Blog

Seamless Migration from VMware to Amazon FSx for NetApp ONTAP and EC2

Over the past two decades, VMware’s compute virtualization solutions have become essential tools for reducing costs, enhancing efficiency, and simplifying management tasks in on-premises environments. Recognizing these needs, cloud providers, including AWS, have augmented their hypervisors with sophisticated storage, efficiency, and management features that often outperform traditional on-premises offerings. AWS provides seamless migration paths from any VMware environment to Amazon FSx for NetApp ONTAP and Amazon EC2, enabling businesses to leverage AWS’s scalable and flexible infrastructure.

With Amazon FSx for NetApp ONTAP, enterprises can enjoy a fully managed service that supports the same ONTAP data management software that many rely on. This service ensures high performance, availability, and storage efficiency. Migrating VMware workloads to AWS not only enhances disaster recovery capabilities but also integrates cutting-edge AWS services, thereby optimizing overall operational workflows.

AWS simplifies this migration process, allowing organizations to fully harness the advantages of cloud technologies without the complexities typically associated with large-scale infrastructure transitions.

Extract Insights with DataSync, AWS Glue, Athena, and QuickSight

In October 2024, AWS DataSync introduced Enhanced mode tasks, significantly broadening its capabilities. These updates include vital improvements in the data processing flow using AWS Glue, Amazon Athena, and Amazon QuickSight. AWS Glue now includes an updated step that simplifies the population of the Glue catalog with task reports data, offering enhanced visibility and control over data synchronization tasks.

Amazon Athena allows users to execute SQL queries against the synced data, providing a powerful tool for analyzing vast datasets quickly. Meanwhile, Amazon QuickSight offers robust visualization capabilities, enabling data-driven decision-making processes. These services together form a comprehensive data management solution, fostering greater insights from task reports and streamlining the data analysis process.

Migrating Data from Dropbox to Amazon S3 with Rclone

For businesses looking to optimize their storage solutions, migrating data from Dropbox to Amazon S3 presents numerous advantages. AWS offers a broad choice of services, supporting fully cloud-based, multicloud, and hybrid environments. Amazon S3 stands out as an optimal storage solution for Dropbox users due to its durability, scalability, and integration with other AWS services.

Rclone, a command-line program, facilitates this migration efficiently. It supports a wide range of data transfer operations, ensuring that data is moved securely and efficiently to Amazon S3. This transition opens opportunities for businesses to explore advanced AWS functionalities, such as machine learning and data analytics, further enhancing their operational capabilities.

How KeyCore Can Assist

KeyCore is adept at facilitating seamless migrations and data management enhancements. Our expertise in AWS ensures that clients can transition from VMware environments to Amazon FSx for NetApp ONTAP and EC2 with minimal disruption. We also guide organizations in deriving meaningful insights using AWS DataSync, Glue, Athena, and QuickSight, fostering informed decision-making. Additionally, for those migrating from Dropbox to Amazon S3, KeyCore offers comprehensive support, ensuring secure and efficient data transfers. Our tailored solutions are designed to maximize the business value of AWS services, aligning with our clients’ strategic objectives.

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Read the full blog posts from AWS

• Seamless migration from any VMware environment to Amazon FSx for NetApp ONTAP and Amazon EC2
• Derive insights from AWS DataSync task reports using AWS Glue, Amazon Athena, and Amazon QuickSight
• Migrate data from Dropbox to Amazon S3 using Rclone

AWS Developer Tools Blog

The AWS team has recently introduced the Developer Preview of DynamoDB Mapper for Kotlin, a high-level library designed to simplify the interaction between Kotlin-based business logic and DynamoDB tables. This new tool provides Kotlin developers with a streamlined and idiomatic approach to data mapping, enhancing productivity and reducing boilerplate code.

Simplified Data Mapping with Kotlin

The DynamoDB Mapper for Kotlin seamlessly integrates with most Kotlin data classes, allowing developers to effortlessly map these classes to DynamoDB tables. This feature is particularly beneficial for Kotlin developers who are already familiar with the language’s data class structures, as it minimizes the need for additional configuration. Moreover, the library offers powerful features such as custom converters and annotations, which provide developers with the flexibility to handle complex data mapping scenarios. This ensures that even intricate business logic can be efficiently managed and stored in DynamoDB tables.

Enhanced Developer Experience

By using DynamoDB Mapper, developers can focus more on business logic rather than data handling nuances. The library’s idiomatic approach aligns with Kotlin’s language principles, making it intuitive for developers to adopt. This not only accelerates development but also reduces the likelihood of errors, leading to more robust applications. The integration of DynamoDB Mapper with Kotlin encourages a more cohesive development experience, allowing teams to leverage both the power of AWS’s NoSQL database service and Kotlin’s modern programming capabilities.

KeyCore’s Expertise

At KeyCore, we understand the complexities involved in migrating and optimizing databases within cloud environments. Our team of AWS experts can assist organizations in integrating DynamoDB Mapper for Kotlin into their existing workflows, ensuring a seamless transition and optimal configuration. Whether it’s customizing data converters, implementing best practices, or providing training, KeyCore is equipped to enhance your AWS development capabilities. For more detailed information on how we can support your projects, visit our website at KeyCore.dk.

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Read the full blog posts from AWS

• Announcing the Developer Preview of DynamoDB Mapper for Kotlin

AWS Partner Network (APN) Blog

CrowdStrike’s Charlotte AI: Revolutionizing Cyber Security with AWS

CrowdStrike is leveraging AWS’s advanced AI capabilities to significantly enhance the productivity of cyber security analysts. By integrating generative AI built on AWS, CrowdStrike has transformed security operations, allowing for accelerated analyst workflows. This partnership with AWS enables CrowdStrike to offer AI-native protection to a wide range of organizations, regardless of their size or industry. The goal is to provide world-class protection at the speed, scale, and sophistication required to combat modern cyber threats. CrowdStrike’s implementation of AWS AI technologies demonstrates their commitment to staying ahead of adversaries and delivering rapid, effective solutions for their clients.

DXC’s DevSecOps CI/CD Pipeline Solution

DXC Technology has developed an end-to-end DevSecOps Continuous Integration/Continuous Delivery (CI/CD) pipeline, known as the Continuous Delivery Express solution. This pipeline addresses common challenges faced by customers in implementing secure, efficient DevSecOps practices. The solution, designed by a team of experts including Charles Christopher and Kangkan Goswami, integrates security into the development lifecycle, ensuring that software releases are both rapid and secure. By automating the deployment process, DXC Technology helps organizations enhance their software delivery capabilities, reduce vulnerabilities, and maintain a robust security posture. This pipeline is an essential tool for customers looking to streamline their development processes while maintaining high security standards.

Centralized Log Monitoring with Grafana Cloud

The blog post on centralized log monitoring outlines a scalable architecture for managing AWS logs across multiple regions and accounts. By utilizing AWS CloudWatch account-level subscription filters, logs from various sources can be efficiently delivered to Grafana Cloud. Grafana Cloud serves as a unified platform for log analysis, visualization, and alerting. This approach enables organizations to consolidate logs, improving visibility and troubleshooting while enhancing security and compliance. The detailed architecture offered in the article guides readers through the implementation process, highlighting the benefits of improved performance and streamlined operations within a cloud infrastructure. This solution is ideal for organizations seeking to optimize their log management practices.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers extensive expertise in implementing and optimizing AWS solutions. Whether businesses are looking to leverage AI capabilities for enhanced security, develop robust DevSecOps pipelines, or implement scalable log monitoring solutions, KeyCore provides tailored services to meet these needs. Through professional services and managed services, KeyCore ensures organizations can maximize their AWS investments, streamline operations, and maintain a competitive edge. By partnering with KeyCore, businesses gain access to cutting-edge AWS solutions designed to address specific challenges and deliver measurable business value.

Read the full blog posts from AWS

• CrowdStrike’s Charlotte AI – Enhancing productivity of Cyber Security Analysts with Generative AI built-on AWS
• Building an end-to-end DevSecOps CI/CD pipeline with DXC’s Continuous Delivery Express solution
• Scaling AWS multi-region and account logs delivery to Grafana Cloud

AWS Cloud Enterprise Strategy Blog

Anticipating and Adapting to Emerging Technologies

In an era where technology evolves at an unprecedented pace, executives face the challenge of avoiding disruption in their businesses. Accenture’s global disruption index highlights that disruption now occurs 50 times faster than it did five years ago, driven by a confluence of economic, social, geopolitical, climate, consumer, and technological changes. To stay ahead, executives must not only anticipate these shifts but also actively seek new markets and opportunities for partnership.

Staying ahead requires a proactive approach. Executives should invest in market research to understand emerging trends and technologies. Engaging with thought leaders, attending industry conferences, and fostering a culture of continuous learning within the organization are crucial steps. This anticipatory strategy enables businesses to pivot quickly, leveraging new technology trends before competitors.

Aligning Legal, Procurement, and Business Priorities in Strategic Partnerships

For executives leading strategic initiatives, onboarding new partners or finalizing contracts often involves aligning various internal stakeholder priorities. This alignment is crucial, particularly when engaging with key technology vendors, manufacturing partners, or strategic consulting firms. Navigating these relationships requires a delicate balance between legal, procurement, and business objectives.

To successfully align these priorities, clear communication and establishing common goals are essential. Legal teams focus on compliance and risk, procurement ensures cost efficiency, while business priorities drive value creation and innovation. By fostering an open dialogue among all parties, executives can manage these often competing interests to drive successful partnerships.

Leveraging technology such as collaborative platforms can facilitate this alignment. These tools empower teams to share information and make collective decisions efficiently, ensuring that strategic partnerships are structured to meet overarching business objectives.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers strategic insights and technical expertise to help businesses navigate the challenges of technological disruption and strategic partnerships. By working closely with executives, KeyCore provides tailored solutions that leverage AWS technologies to anticipate industry changes and streamline partnership processes. Whether through professional services or managed services, KeyCore ensures organizations remain competitive and agile in an ever-evolving digital landscape.

Read the full blog posts from AWS

• How Executives Can Avoid Being Disrupted by Emerging Technologies
• Navigating Strategic Partnerships: Aligning Legal, Procurement, and Business Priorities

AWS HPC Blog

Migration Options for NICE EnginFrame Views Customers

As AWS sunsets NICE EnginFrame, businesses using EnginFrame Views are exploring migration options to maintain secure remote access to their high-performance computing (HPC) environments. The transition process can be seamless by leveraging alternatives built on Amazon DCV (Desktop Cloud Visualization). Amazon DCV offers secure, efficient remote visualization capabilities, ensuring uninterrupted service as organizations move away from EnginFrame. By migrating to Amazon DCV, users can continue to enjoy high-quality graphics and low latency, which are crucial for HPC workloads. This shift not only preserves the existing user experience but also provides an enhanced performance and cost-effectiveness.

Designing Better Catalysts with HPC

In a groundbreaking collaboration, DIC, SandboxAQ, and AWS are pushing the boundaries of quantum chemistry computation to design better industrial catalysts. Catalyst design is a complex process requiring advanced computational methods to understand organometallic compounds. By combining HPC resources on AWS with the expertise of DIC and SandboxAQ, the partnership aims to accelerate the discovery and optimization of catalysts. This work focuses on improving the efficiency and sustainability of industrial processes, ultimately leading to more environmentally friendly and cost-effective solutions. Through high-performance computing, these organizations seek to unlock new possibilities in catalyst innovation.

Simulating Complex Systems with LLM-Driven Agents

AI is poised to transform the energy sector, and AWS ParallelCluster is at the forefront of this shift by facilitating scalable AI experiments. By utilizing large language models (LLMs), researchers are developing smarter, more adaptive agents in energy supply chain simulations. These LLM-driven agents are capable of nuanced decision-making, offering new insights into optimizing energy distribution and consumption. AWS ParallelCluster aids in scaling these simulations, ensuring that businesses can manage computational demands efficiently. This innovative use of AI and HPC resources highlights the potential for intelligent systems to revolutionize energy management.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, is well-positioned to support organizations in these high-performance computing endeavors. Whether transitioning from NICE EnginFrame to Amazon DCV, leveraging HPC for catalyst design, or scaling AI experiments, KeyCore provides expert guidance and managed services. Our team can ensure a seamless migration, optimal resource utilization, and the implementation of advanced computational models, helping companies achieve their strategic objectives in HPC.

Read the full blog posts from AWS

• Migration options for NICE EnginFrame Views customers
• Designing better catalysts with HPC – DIC, SandboxAQ, and AWS collaborate for record quantum chemistry computation
• Simulating complex systems with LLM-driven agents: leveraging AWS ParallelCluster for scalable AI experiments

AWS Cloud Operations Blog

Using Amazon Bedrock to Improve Error Correction

Generative AI, particularly when used in conjunction with Amazon Bedrock, can significantly streamline the Correction of Errors process. By leveraging large language models, businesses can expedite error identification and documentation, saving both time and resources. This approach not only enhances efficiency but also improves the accuracy of error reporting, allowing teams to focus on resolving issues more effectively.

Amazon Bedrock’s role in this process involves utilizing its powerful AI capabilities to analyze and interpret data quickly. This allows organizations to automate parts of the error correction workflow that would typically require substantial human intervention. As a result, businesses can maintain high operational standards while minimizing the manual effort required to manage errors.

Scaling AWS Control Tower with Amazon Bedrock Agents

AWS Control Tower provides a streamlined approach to setting up and governing a secure, multi-account AWS environment. One of its standout features is the ability to deploy and manage controls at scale across an entire AWS Organization. These controls are categorized based on their behavior and the guidance they offer.

By integrating Amazon Bedrock Agents, AWS Control Tower can enhance its scalability and effectiveness. Bedrock Agents help automate the deployment and management of policies and controls, ensuring that they are enforced consistently across all accounts. This integration allows organizations to maintain compliance and security standards with minimal overhead, making AWS Control Tower a powerful tool for managing complex cloud environments.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in leveraging Amazon Bedrock and AWS Control Tower to enhance cloud operations. KeyCore’s professional and managed services can support businesses in implementing generative AI solutions for error correction and scaling AWS Control Tower controls effectively. By partnering with KeyCore, organizations can optimize their AWS environments, ensuring both efficiency and security are maintained at all times.

Read the full blog posts from AWS

• Streamlining the Correction of Errors process using Amazon Bedrock
• Scaling AWS Control Tower controls using Amazon Bedrock Agents

AWS for Industries

Transforming Breast Cancer Care with AWS Technology and Innovations

Breast cancer continues to impact millions of women around the globe each year. However, technological advancements, especially those enabled by AWS, are reshaping the outlook for breast cancer care. The collaboration between the International Agency for Research on Cancer (IARC) and the World Health Organization (WHO) highlights new innovations in early detection using AWS’s powerful data analytics and machine learning tools. These technologies assist in early diagnosis, personalized treatment plans, and efficient patient management. By harnessing AWS’s cloud capabilities, healthcare providers can improve diagnostic accuracy, enhance research, and ultimately deliver better patient outcomes.

Enhancing Public Sector Digital Asset Security and Efficiency with Generative AI

The integration of digital assets and generative AI is poised to revolutionize public sector operations. Digital assets, including blockchain and cryptographic techniques, enhance information authenticity and create tamper-proof records. Generative AI, powered by AWS’s scalable compute services, brings unprecedented levels of efficiency and security to public administrations. These innovations facilitate financial inclusion and promote transparent governance, all while reducing operational inefficiencies. By leveraging AWS’s cloud infrastructure, public sector entities can securely manage vast amounts of data, streamline processes, and improve service delivery to citizens.

Reducing Cloud-Based Power Control Center Emissions at Holaluz

Holaluz, an energy company, achieved a significant reduction in emissions from its cloud-based power control center, cutting them by over 40%. This achievement is attributed to AWS’s robust cloud solutions and support services. By collaborating with AWS Enterprise Support and using tools like the Cloud Carbon Footprint tool by Thoughtworks, Holaluz identified optimization opportunities. The AWS Technical Account Manager played a crucial role in addressing challenges, allowing Holaluz to enhance their sustainability efforts while maintaining operational efficiency.

Optimization in the Era of Generative AI

Operations Research (OR) optimization is crucial for decision-making across various industries. With the introduction of generative AI, AWS offers enhanced capabilities for optimizing complex processes in logistics, finance, healthcare, and manufacturing. AWS’s advanced analytical tools allow businesses to utilize mathematical models, statistics, and algorithms to navigate real-world challenges. As a result, companies can drive efficiencies, reduce costs, and improve customer satisfaction by making data-driven decisions with AWS’s comprehensive suite of AI-powered tools.

Serverless Self-Service Portal for Engineering Applications

Energy companies constantly seek efficient ways to run engineering software that demands high computational power. The serverless self-service portal provided by AWS enables these companies to run licensed engineering applications in the cloud seamlessly. This solution offers scalability, reduces project turnaround, and optimizes resource utilization without the need for extensive on-premises infrastructure. AWS’s serverless architecture accommodates fluctuating workloads, ensuring that companies can perform complex simulations swiftly and cost-effectively.

Transforming Siemens Global Search with Generative AI

Siemens, a leading technology company, revolutionized its global search capabilities using generative AI solutions powered by AWS. With AWS’s AI technologies, Siemens offers customers a seamless search experience, significantly improving customer satisfaction and driving sales. By leveraging AWS’s machine learning algorithms, Siemens enhances its ability to serve accurate and relevant search results, thereby optimizing customer interactions and strengthening its market position in technology sectors like infrastructure, transportation, and healthcare.

Driving Operational Excellence in Manufacturing with AWS Supply Chain and Amazon Q

In the competitive manufacturing industry, companies face challenges like supply chain disruptions and inventory management. AWS Supply Chain and Amazon Q provide solutions to streamline these processes. By utilizing AWS’s comprehensive supply chain tools, manufacturers can effectively manage complex networks and respond swiftly to market fluctuations. This results in reduced inventory costs and improved product availability, driving operational excellence. AWS’s cloud solutions empower manufacturers to optimize supply chain efficiencies and enhance their competitive edge in the market.

Introducing the AWS Marketplace Consumer Goods Solutions Hub

The consumer goods industry is undergoing a transformation due to market challenges and shifting consumer behaviors. AWS’s new Consumer Goods Solutions Hub offers a platform for companies to adapt and thrive. It connects businesses with industry-specific AWS Partners, enabling them to leverage AWS’s cloud technologies to enhance operational efficiencies, reimagine customer relationships, and drive innovation. This hub supports companies in overcoming market challenges and positioning themselves for future growth in a dynamic business environment.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, can assist organizations in navigating these technological advancements. Our expert team provides tailored guidance to leverage AWS’s vast array of tools optimally. Whether it’s enhancing healthcare solutions, improving public sector efficiencies, or driving operational excellence in manufacturing, KeyCore offers both professional and managed services to ensure successful AWS implementations. Our deep industry expertise enables businesses to harness the full potential of AWS technologies, driving transformation and achieving strategic business objectives.

Read the full blog posts from AWS

• Transforming Breast Cancer Care with AWS Technology and Innovations
• Enhancing public sector digital asset security and efficiency with generative AI
• How Holaluz reduced their AWS cloud-based power control center emissions by 40%
• Optimization in the era of generative AI
• Serverless self-service portal for running engineering applications with on-premises software licensing
• Transforming Siemens global search with generative AI  powered by AWS
• Driving operational excellence in manufacturing with AWS Supply Chain and Amazon Q
• Introducing the new AWS Marketplace Consumer Goods Solutions Hub

AWS Messaging & Targeting Blog

In the realm of AWS Messaging & Targeting, two significant updates have been detailed to enhance the capabilities and security of AWS services.

Optimizing 10DLC Registration for SMS with AWS End User Messaging

10DLC, or Ten-Digit Long Code, is specifically designed for sending Application-to-Person (A2P) SMS within the United States. This format is crucial for businesses seeking to maintain compliance and ensure efficient delivery of messages to U.S. recipients. Recent updates have introduced additional brand registration steps, particularly for “Public Profit” companies. These steps aim to enhance the transparency and reliability of SMS communications, which is critical for maintaining trust with end users and minimizing message filtering by carriers.

Implementing 10DLC effectively involves understanding the registration process, which includes brand and campaign registration with The Campaign Registry (TCR). This registration is essential to adhere to industry standards and avoid disruptions in message delivery. Businesses sending SMS via AWS should ensure that they are aligned with these updated practices to optimize their messaging strategies.

KeyCore can assist organizations in navigating the complexities of 10DLC registration by providing expert guidance and implementation support. Our consultants help streamline the process, ensuring compliance and enhancing the effectiveness of SMS campaigns.

Enhancing Security for Amazon WorkMail with Multi-Factor Authentication

Amazon WorkMail has made a significant leap in security by integrating multi-factor authentication (MFA) through AWS IAM Identity Center. This enhancement addresses growing security concerns, especially in light of recent compromises such as the Microsoft Exchange Online intrusion. By implementing MFA, organizations can significantly bolster their email security, protecting sensitive communications from unauthorized access.

The integration with AWS IAM Identity Center simplifies the process of enabling MFA, providing a robust mechanism to verify user identities. This is particularly valuable for organizations looking to enhance their security posture without compromising on user convenience.

KeyCore provides comprehensive support in deploying and managing MFA for Amazon WorkMail. Our managed services ensure that organizations can implement these security measures seamlessly, minimizing risk and enhancing overall cybersecurity resilience.

Read the full blog posts from AWS

• 10DLC Registration Best Practices to Send SMS with AWS End User Messaging
• How to Create a Big Yellow Taxi to Help Protect Amazon WorkMail

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

Recent developments from Amazon Web Services (AWS) in security, identity, and compliance offer new training, enhanced authentication, updated compliance packages, and identity propagation methods.

New AWS Secure Builder Training with SANS Institute

AWS has partnered with SANS Institute to introduce the SEC480: AWS Secure Builder training. This educational offering is designed for engineering and development teams that are transitioning workloads to AWS. By equipping teams with specialized security knowledge, organizations can reduce the risk of security incidents. The course focuses on embedding security within AWS workloads, ensuring that personnel are well-versed in safeguarding applications.

Enhancing Authentication with Amazon Cognito

Amazon Cognito now offers advanced security features that support custom authentication flows, including passwordless authentication. This shift addresses the rising demand for improved security and user experience over traditional password-based systems. By leveraging Amazon Cognito, application owners can manage users while outsourcing security complexities. This customization enhances the security posture of applications, providing better protection against threats.

Spring 2024 PCI DSS and 3DS Compliance Packages

AWS has expanded its compliance offerings by including three new services — Amazon DataZone, Amazon DevOps Guru, and Amazon Managed Grafana — within its PCI DSS and PCI 3DS certifications. These additions demonstrate AWS’s commitment to supporting businesses in meeting payment card industry standards. Organizations can confidently utilize these services, knowing they align with rigorous compliance requirements, which is crucial for handling payment information securely.

Implementing Trusted Identity Propagation with Amazon Cognito

AWS introduces trusted identity propagation within the AWS IAM Identity Center, allowing for identity-enhanced IAM role sessions when accessing AWS services. This feature improves security for applications protected by Amazon Cognito by enabling fine-grained access control. Customers can develop custom applications that require precise access to data analytics services, ensuring that identity management is seamlessly integrated into their AWS architecture.

KeyCore, as a leading AWS consultancy, is equipped to help organizations leverage these AWS security advancements. With expertise in implementing secure architectures and compliance frameworks, KeyCore can assist in training, deploying enhanced authentication solutions, achieving compliance, and setting up trusted identity management systems. By partnering with KeyCore, businesses can ensure robust security and compliance in their AWS environments.

Read the full blog posts from AWS

• New AWS Secure Builder training available through SANS Institute
• Adding threat detection to custom authentication flow with Amazon Cognito advanced security features
• Spring 2024 PCI DSS and 3DS compliance packages available now
• How to implement trusted identity propagation for applications protected by Amazon Cognito

Front-End Web & Mobile

Amazon Web Services (AWS) has introduced a new feature called AWS AppSync Events, designed to simplify the creation of real-time web and mobile experiences. This feature leverages serverless WebSocket APIs, allowing developers to broadcast real-time event data effortlessly.

Effortless Broadcasting with Serverless WebSockets

AWS AppSync Events empowers developers to broadcast real-time data to a wide range of subscribers, from a handful to millions, without the need for managing complex WebSocket infrastructure. The serverless nature of WebSocket APIs means that developers no longer need to handle the intricacies of connection state management or implement fan-out mechanisms themselves. This simplification allows developers to focus on building engaging user experiences rather than managing backend logistics.

Scalability and Performance

The new feature is designed for scalability and performance, ensuring that applications can handle varying loads seamlessly. By utilizing AWS’s robust infrastructure, developers can deliver real-time updates with low latency, enhancing the user experience for both web and mobile applications. This capability is particularly beneficial for applications requiring live updates, such as social media feeds, collaborative tools, and live sports scores.

How KeyCore Can Assist

With KeyCore’s expertise in AWS technologies, businesses can effectively implement AWS AppSync Events into their applications. KeyCore provides both professional and managed services to guide organizations through the process of integrating serverless WebSocket APIs, optimizing real-time data broadcasting, and ensuring high performance and security. By partnering with KeyCore, businesses can leverage AWS AppSync Events to create dynamic, scalable, and responsive web and mobile applications.

Read the full blog posts from AWS

• Announcing AWS AppSync Events: serverless WebSocket APIs to power real-time web and mobile experiences at any scale

AWS Contact Center

AWS Named a Leader in Gartner Magic Quadrant for CCaaS

Gartner has released its 2024 Magic Quadrant for Contact Center as a Service (CCaaS), recognizing Amazon Web Services (AWS) as a leader for the second consecutive year. This accolade highlights the innovative capabilities of Amazon Connect, AWS’s cloud-based contact center solution. Amazon Connect is designed to provide businesses with scalable, flexible, and cost-effective tools to enhance customer experiences. This recognition by Gartner underscores AWS’s commitment to continuously improving its services, making it a top choice for organizations looking to modernize their customer service operations.

Enhancing Customer Experience with Amazon Connect

Rhythm Energy, a retail electricity provider in Houston, Texas, exemplifies the effectiveness of Amazon Connect in transforming customer service. Founded in 2020, Rhythm Energy focuses on offering transparent and competitive renewable energy plans. Central to their operations is the importance of customer experience. By leveraging Amazon Connect, they have established a true partnership with their customers through active engagement and education. The flexibility and advanced features of Amazon Connect enable Rhythm Energy to effectively manage customer interactions, ensuring that each customer feels valued and informed.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, is well-equipped to assist businesses in implementing and optimizing Amazon Connect. Our professional services team can guide organizations through the setup process, ensuring seamless integration with existing systems. Additionally, our managed services can provide ongoing support and enhancements, allowing businesses to focus on their core operations while we handle the technical complexities. By partnering with KeyCore, organizations can leverage our expertise to maximize the benefits of Amazon Connect, ultimately improving their customer service and operational efficiency.

Read the full blog posts from AWS

• AWS recognized as a Leader in 2024 Gartner Magic Quadrant for Contact Center as a Service with Amazon Connect
• Rhythm Energy harmonizes customer experience with Amazon Connect

Innovating in the Public Sector

In the realm of public sector innovation, recent initiatives and collaborations highlight the transformative impact of AI and cloud technologies. From advancing geospatial intelligence to bolstering tech education, these developments showcase the potential of technology in addressing critical challenges.

Generative AI for Geospatial Intelligence

The Taylor Geospatial Institute (TGI) and Amazon Web Services (AWS) have launched the Generative AI for Geospatial Challenge. This initiative, backed by $1 million in AWS credits, aims to foster innovation at the intersection of geospatial data, cloud computing, and AI. The challenge seeks to inspire and cultivate groundbreaking solutions that utilize generative AI to tackle complex geospatial problems. By leveraging AWS’s robust cloud infrastructure, participants can realize the full potential of their innovations, driving significant advancements in geospatial intelligence.

AI/ML Solutions in AWS GovCloud (US)

For technology leaders aiming to responsibly deploy AI innovations within stringent regulatory environments, AWS GovCloud (US) offers a secure and compliant platform. This specialized cloud service facilitates the rapid delivery of AI/ML solutions while ensuring adherence to regulations. By providing a foundation designed to meet diverse compliance requirements, AWS GovCloud (US) supports government agencies and organizations in harnessing the power of AI responsibly and effectively.

Building Tech Talent in Malaysia

In Malaysia, the AWS Skills to Jobs Tech Alliance was launched to invigorate the tech talent ecosystem. In collaboration with the Malaysia Digital Economy Corporation (MDEC), this initiative aims to modernize tech education and connect learners with in-demand jobs. By aligning academic programs with industry needs, the alliance seeks to develop a highly-skilled workforce capable of driving Malaysia’s digital economy forward.

Addressing the AI Skills Gap in Malaysia

Recognizing the critical need for AI talent, AWS has partnered with Malaysia’s Ministry of Higher Education’s JPPKK to enhance AI education and training. This collaboration focuses on closing the AI skills gap by providing targeted training for educators and students within Malaysia’s TVET community. By equipping the future workforce with essential AI skills, this initiative supports Malaysia’s aspiration to become a leader in AI innovation.

At KeyCore, we understand the intricacies of deploying AWS technologies across various sectors. Our expertise can help organizations navigate the complexities of AWS offerings, ensuring they maximize their investment in cloud solutions. Whether it’s through consulting on AI-driven projects or guiding educational institutions in modernizing tech curriculums, KeyCore stands ready to support innovation in the public sector.

Read the full blog posts from AWS

• Announcing the Generative AI for Geospatial Challenge, which awards $1M in AWS credits to innovators
• New AI/ML solutions in AWS GovCloud (US) underpin responsible innovation
• AWS Skills to Jobs Tech Alliance launches in Malaysia to stimulate the tech talent ecosystem
• AWS collaborates with Malaysia Ministry of Higher Education’s JPPKK to build next-generation AI workforce