Summary of AWS blogs for the week of monday Mon Jan 13

In the week of Mon Jan 13 2025 AWS published 56 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Command-line interfaces (CLI) are designed to streamline infrastructure and DevOps workflows but often end up complicating them due to the myriad of commands, flags, and syntax. Developers frequently find themselves toggling between different tabs, searching through forums, and consulting documentation to find the right command, which can hinder productivity.

Introducing Amazon Q Developer

Amazon Q Developer aims to overcome these challenges by allowing users to execute AWS CLI commands using natural language. This innovation simplifies the process, enabling developers to perform complex tasks without needing to memorize exact command-line syntax or navigate through extensive documentation.

How Amazon Q Developer Works

Amazon Q Developer utilizes natural language processing (NLP) to interpret user input and translate it into the necessary AWS CLI commands. This approach not only saves time but also reduces the cognitive load on developers, who can now focus on problem-solving rather than syntax memorization.

Benefits for Developers

By using Amazon Q Developer, teams can increase their efficiency and productivity. Developers spend less time deciphering commands and more time on core development tasks. This tool is particularly beneficial for teams with diverse levels of experience, as it lowers the entry barrier for working with AWS CLI.

How KeyCore Can Help

KeyCore can assist organizations in integrating Amazon Q Developer into their workflows, ensuring seamless adoption and maximum benefit. With KeyCore’s AWS expertise, businesses can optimize their development processes and train teams to leverage this tool effectively. By partnering with KeyCore, organizations can enhance their DevOps strategies and accelerate their cloud initiatives.

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Official Machine Learning Blog of Amazon Web Services

Integrating Amazon Q Business with ServiceNow

Kyndryl has successfully integrated Amazon Q Business with ServiceNow, enhancing its capabilities through a generative AI-powered interface. This integration involves configuring Amazon Q Business and ServiceNow, creating a generative AI plugin for ServiceNow incidents, and testing interactions through the Amazon Q Business web experience. This setup enables users to leverage the power of generative AI, significantly enhancing the ServiceNow experience.

HCLTech’s AutoWise Companion for Automotive Buyers

HCLTech has launched the AutoWise Companion, a generative AI solution to assist automotive buyers with informed decisions. The solution uses AWS services and open-source tools to tackle industry challenges, focusing on data-driven design. It includes security and responsible AI considerations, showcasing its adaptability across various industry scenarios.

Predicting AWS Network Traffic with GraphStorm

The AWS Machine Learning team has utilized GraphStorm for predicting network traffic, aiming to mitigate AWS backbone network congestion risks. GraphStorm, an enterprise graph machine learning framework, is used to address prediction challenges on complex networks, offering insights into optimizing network traffic management.

Building RAG Applications with AWS Hybrid and Edge Services

Amazon Bedrock Agents can now be extended to AWS hybrid and edge services like AWS Outposts and Local Zones, facilitating distributed Retrieval Augmented Generation (RAG) applications. The post outlines how to create RAG applications with local data residency, ensuring both foundation models and data sources remain on-premises for efficient outcomes.

Multi-Agent Collaboration on Amazon Bedrock

AWS researchers have developed a Multi-Agent Collaboration (MAC) framework on Amazon Bedrock, allowing customers to orchestrate multiple AI agents. The framework’s key components and evaluation methodology are discussed, highlighting the benefits and insights gained from multi-agent collaboration in solving complex problems.

Streamlining Education Quality Reporting with Amazon Bedrock

The Education and Training Quality Authority (BQA) in Bahrain has utilized Amazon Bedrock and Amazon SageMaker JumpStart to improve education quality reporting. This integration streamlines workflows across educational institutions, supporting the nation’s educational and vocational development through advanced analytics and reporting capabilities.

Enhancing Team Productivity with Amazon Q Business

MuleSoft has integrated an AI-powered assistant using Amazon Q Business into its internal Cloud Central dashboard. This personalized portal provides over 100 engineers with insights into assets, costs, usage, and well-architected recommendations, fostering innovation, productivity, and knowledge sharing within the team.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy, offers expertise in integrating AWS services with business processes. Whether enhancing ServiceNow with Amazon Q Business, implementing AutoWise Companion, or building RAG applications, KeyCore provides tailored solutions. Our team can guide organizations in adopting AWS’s advanced machine learning tools, ensuring optimized performance and business growth. Explore more about our services at KeyCore.dk to see how we can support your AWS journey.

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Announcements, Updates, and Launches

AWS has announced the launch of its first cloud Region in Mexico, the AWS Mexico (Central) Region. This move represents a significant stride towards enabling digital transformation across Mexico and Latin America. By providing local infrastructure, AWS aims to deliver low latency services and help customers meet local data residency requirements. This initiative is supported by a substantial investment commitment of $5 billion over the next 15 years, which underscores AWS’s dedication to fostering technological growth and innovation in the region.

With the new region, AWS offers Mexican businesses and government agencies the opportunity to leverage cloud technology to drive innovation and improve operational efficiency. The local infrastructure minimizes latency, ensuring faster and more reliable cloud services. Meeting data residency requirements is crucial for many industries, and with this development, AWS provides a compliant solution that caters to the needs of these sectors.

In a broader context, AWS’s investment in the Mexican region highlights the company’s commitment to expanding its global footprint. By doing so, it not only enhances its service offerings but also contributes to the economic development of the regions it enters.

In the AWS Weekly Roundup for January 13, 2025, AWS announced several exciting developments. Among them is the unveiling of a new Asia Pacific Region, further extending AWS’s global reach and enhancing its service capabilities in the area. This expansion signals AWS’s ongoing commitment to providing robust and scalable cloud solutions worldwide.

Additionally, updates to Amazon DynamoDB were highlighted in the roundup. These updates are designed to enhance performance and offer users more flexibility in managing their database workloads. Users can expect improved database operation speeds and new features that provide greater control over data storage and retrieval.

Another exciting development is the introduction of Amazon Q Developer, a new tool aimed at empowering developers with advanced quantum computing capabilities. This tool promises to open new horizons for research and development by providing access to quantum resources and enabling complex problem solving.

As AWS continues to evolve, its diverse range of updates reflects its dedication to catering to the needs of developers, businesses, and government agencies across the globe.

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Containers

webMethods iPaaS embarked on an ambitious journey to transition their platform into a multi-tenant SaaS offering on Amazon EKS. This initiative was guided by key personnel, including Markus Kokott from AWS and Balaji Balakrishnan, Santa Kumar Bethanapalli, and Natarajan Ramani from webMethods iPaaS.

Transition to Multi-Tenant SaaS

The primary goal was to leverage the flexibility and scalability of Amazon EKS to support a multi-tenant architecture. With Kubernetes at its core, Amazon EKS provided a robust foundation for container orchestration, enabling webMethods to efficiently manage multiple tenant workloads. This infrastructure shift was instrumental in enhancing operational efficiency and fostering rapid development cycles.

Key Architectural Considerations

During the transition, the webMethods team faced several architectural challenges. These included ensuring data isolation for tenants and optimizing resource allocation across the Kubernetes clusters. They utilized Kubernetes namespaces to achieve tenant isolation, while implementing resource quotas to manage and prioritize workload distribution effectively.

Benefits Realized

The migration to Amazon EKS resulted in significant improvements in scalability and deployment agility. By adopting a containerized environment, webMethods iPaaS was able to implement continuous integration and continuous delivery (CI/CD) pipelines, thereby reducing time-to-market for new features. The use of Infrastructure as Code (IaC) with AWS CloudFormation further streamlined their deployment processes.

How KeyCore Can Help

KeyCore offers extensive expertise in AWS services, including Amazon EKS. Our professional services team can assist in designing and implementing a robust multi-tenant architecture tailored to specific business needs. With our managed services, we ensure optimal performance and reliability of your containerized applications on AWS. Visit our website at KeyCore to learn more about our offerings and how we can help your organization succeed in the cloud.

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Official Database Blog of Amazon Web Services

Optimizing Amazon Neptune Database Performance

Orca Security, an AWS Partner recognized for its innovative cybersecurity solutions, leverages Amazon Neptune to enhance its cloud security platform. The database is crucial for assessing the exposure of cloud assets by mapping their connectivity. This graph-based approach helps determine asset vulnerability and potential lateral movement by attackers. Key strategies adopted by Orca Security to improve performance include optimizing query structures, efficient data modeling, and leveraging Neptune’s built-in features like caching and fine-tuning instance specifications. This optimization ensures their platform remains efficient and responsive, crucial for maintaining robust security measures for their clients.

Latency Monitoring for Amazon ElastiCache

In modern microservices architectures, server-side latency can affect the overall system’s performance. Monitoring latency in Amazon ElastiCache is vital for ensuring optimal performance. Techniques to monitor and troubleshoot latency issues include implementing custom metrics, setting up latency alarms, and using AWS CloudWatch for real-time monitoring. Identifying high-latency patterns early can prevent user experience degradation and maintain the reliability of applications. By effectively managing ElastiCache latency, businesses can ensure their microservices applications deliver fast and reliable performance.

Amazon MemoryDB for Valkey and Redis

Amazon MemoryDB offers ultra-fast in-memory database solutions compatible with Valkey and Redis OSS. With its Multi-AZ durability and low-latency performance, MemoryDB is ideal for latency-sensitive workloads and durable microservices. The database allows for microsecond read and millisecond write latency, ensuring high throughput. Monitoring and optimizing MemoryDB involves analyzing latency metrics and adjusting configurations for optimal performance, thus supporting seamless and efficient microservices operations.

Efficient JSON Serialization in Amazon RDS for PostgreSQL

The integration of Serde Rust crates with Amazon RDS for PostgreSQL allows for efficient JSON serialization. By using PGRX and PL/Rust, users can create performant functions to access and manipulate PostgreSQL data types in Rust, including JSON serialization with serde and serde_json crates. Deploying an RDS PostgreSQL instance with PL/Rust involves setting up PGRX type mappings, enabling seamless integration of PostgreSQL types into JSON objects. This enhances the database’s functionality and allows developers to leverage Rust’s performance benefits in database management.

Migrating Spatial Columns to Aurora PostgreSQL

Migrating spatial columns from Oracle to Aurora PostgreSQL or Amazon RDS for PostgreSQL is streamlined using AWS Database Migration Service (DMS). The process involves configuring DMS endpoints and tasks to ensure a smooth migration of spatial data. By leveraging AWS DMS, businesses can efficiently transfer spatial columns while maintaining data integrity and performance. This migration capability supports organizations in modernizing their database infrastructure, enhancing scalability, and reducing costs associated with legacy systems.

KeyCore, with its extensive AWS expertise, can assist businesses in optimizing their database solutions. Our services cover everything from performance tuning in Amazon Neptune to latency monitoring in ElastiCache and MemoryDB. We also specialize in Rust integrations with PostgreSQL and offer seamless migration strategies from Oracle to Aurora PostgreSQL. Visit KeyCore for more information on how we can enhance your AWS database performance.

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AWS for Games Blog

Scaling Games with LootLocker and AWS

In the rapidly evolving world of video game publishing, platforms such as Steam and Roblox have significantly lowered the barrier to entry, enabling a plethora of new titles to enter the market. This surge, while democratizing game development, presents a challenge for publishers to distinguish their offerings amidst the noise. An international game development studio, The Gang, has harnessed the power of LootLocker and AWS to enhance the visibility and engagement of its expanding games catalog.

Challenges in Game Publishing

The video game industry is fiercely competitive, with developers and publishers constantly vying for player attention. The proliferation of platforms and titles means that even high-quality games can struggle to gain the recognition they deserve. For developers, this necessitates innovative strategies to enhance discoverability and foster player engagement.

Leveraging LootLocker and AWS

To address these challenges, The Gang turned to LootLocker and AWS, integrating their capabilities to scale and promote their gaming portfolio. LootLocker provides robust backend solutions that streamline the development process, allowing developers to focus on creativity and game mechanics. AWS complements this by offering scalable infrastructure and powerful analytics, enabling The Gang to manage server loads, optimize game performance, and tailor marketing strategies based on real-time insights.

Business Impact

By utilizing AWS’s cloud technologies, The Gang can dynamically scale its resources based on demand, ensuring seamless gameplay experiences for users. This adaptability is crucial for hosting live events, launching updates, and supporting sudden player influxes. Moreover, AWS analytics allow for data-driven decisions, enhancing marketing efforts and ultimately leading to increased player acquisition and retention.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expert guidance and support for game developers looking to leverage AWS for scaling and enhancing their gaming platforms. Our professional and managed services ensure that gaming studios can focus on creating engaging content while we handle the intricacies of cloud infrastructure, performance optimization, and scalability. Whether it’s integrating backend solutions like LootLocker with AWS or optimizing cloud resources, KeyCore provides tailored solutions to help clients succeed in the competitive gaming industry.

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AWS Training and Certification Blog

The AWS Cloud Institute recently celebrated a milestone with the graduation of its inaugural cohort in January 2024. This comprehensive program is designed to equip aspiring cloud builders with the skills necessary for high-demand roles in cloud technology. The graduation signifies a pivotal moment in the professional journeys of these new cloud professionals, opening doors to successful careers in cloud development.

Program Impact

The AWS Cloud Institute’s program has profoundly impacted the lives of its participants. By offering an in-depth curriculum tailored to the needs of the cloud industry, the institute ensures that learners are well-prepared for the challenges and opportunities in cloud technology. Graduates have gained not only technical expertise but also practical experience that makes them valuable assets in the workforce.

Skills for the Future

Participants of this program have developed a robust skill set that includes cloud architecture, deployment strategies, and security best practices. These skills are essential for keeping pace with the rapidly evolving tech landscape. The program’s emphasis on hands-on learning and real-world applications helps graduates transition seamlessly into roles that require immediate contribution to cloud projects.

Career Advancement

Graduates of the AWS Cloud Institute are now equipped to pursue various career paths in the cloud technology sector. This program not only enhances their technical abilities but also boosts their confidence in navigating complex cloud environments. As a result, many graduates are now positioned to take on key roles in leading tech companies, contributing to innovation and digital transformation.

KeyCore’s Support

KeyCore, as Denmark’s leading AWS consultancy, stands ready to support organizations looking to harness the talents of AWS Cloud Institute graduates. With expertise in both professional and managed services, KeyCore can assist in integrating these new professionals into teams, ensuring they deliver maximum value. Whether it’s optimizing cloud architectures or implementing advanced AWS solutions, KeyCore offers tailored support to meet diverse business needs.

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Official Big Data Blog of Amazon Web Services

Automate Topic Provisioning and Configuration Using Terraform with Amazon MSK

Managing topic configuration in Amazon Managed Streaming for Apache Kafka (MSK) can be challenging when done manually. This post introduces a solution using Terraform to automate topic provisioning and configuration, addressing these challenges effectively. The solution is versatile, catering to both provisioned and serverless MSK clusters, thereby enhancing operational efficiency and reducing the potential for human error. By leveraging Terraform, organizations can standardize configurations and automate repetitive tasks, leading to more consistent deployments and easier management of Kafka topics.

EUROGATE’s Data Mesh Architecture with Amazon DataZone

EUROGATE has successfully implemented a data mesh architecture using Amazon DataZone, facilitating data discoverability across its business units. This architecture empowers data consumers to access and utilize data more efficiently, fostering innovation. The post highlights two use cases: one for business intelligence (BI) applications and another for data science applications. By utilizing AWS services such as Amazon Redshift and Amazon SageMaker, EUROGATE can manage and analyze data more effectively, driving insights and informed decision-making across the organization.

Juicebox’s Talent Search Enhancement with Amazon OpenSearch Service

Juicebox, an AI-driven talent sourcing engine, enhances its search capabilities using Amazon OpenSearch Service. With a dataset comprising over 800 million profiles, Juicebox employs advanced natural language models to optimize recruiter search results. Amazon OpenSearch Service provides the infrastructure for a hybrid search approach, combining traditional full-text search with modern semantic search capabilities. This blend enables recruiters to identify suitable candidates more effectively, streamlining the recruitment process and improving match accuracy.

Batch Data Ingestion into Amazon OpenSearch Service with AWS Glue

This post explores how AWS Glue, specifically its Spark capabilities, can be used to batch ingest data into Amazon OpenSearch Service. It includes practical examples and best practices for building efficient and scalable data pipelines on AWS. By leveraging AWS Glue, users can streamline data ingestion processes, optimize performance, and ensure that their data pipelines are both robust and scalable, aligning with modern data management requirements.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance in implementing these AWS solutions. Whether automating MSK topic configurations, establishing a data mesh architecture, enhancing search capabilities with OpenSearch, or optimizing data pipelines with AWS Glue, KeyCore provides both professional and managed services tailored to your needs. With a deep understanding of AWS services, KeyCore ensures that your organization can leverage these technologies effectively to drive innovation and operational excellence. For more details on how KeyCore can support your AWS initiatives, visit KeyCore’s website.

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Networking & Content Delivery

The transition from IPv4 to IPv6 has long been a topic of significant interest in the networking community due to the impending exhaustion of IPv4 addresses. Despite clear signs that the pool of available IPv4 addresses is dwindling, the transition to IPv6 has not been as rapid or widespread as anticipated. This is often due to the entrenchment of IPv4 in existing network infrastructures, making change a daunting task.

A Collaborative Effort

To address this challenge, AWS has teamed up with the North American Network Operators’ Group (NANOG) to spearhead initiatives aimed at unlocking the potential of IPv6. One such initiative was the IPv6 Clinic conducted at NANOG 93. This clinic was designed to educate and guide network operators in transitioning from IPv4 to IPv6, providing practical insights and strategies to make the process smoother and more efficient.

The IPv6 Clinic at NANOG 93

The IPv6 Clinic featured hands-on sessions where participants could engage directly with experts and explore real-world scenarios involving IPv6 deployment. The clinic aimed to demystify the complexities associated with IPv6, focusing on both technical implementation and the business rationale for making the switch. Participants were able to gain a deeper understanding of how IPv6 can be integrated into their networks, thereby preparing them to handle future growth and innovation.

Technical Insights and Business Value

From a technical perspective, IPv6 offers numerous advantages over its predecessor, including a vastly larger address space, improved routing efficiency, and enhanced security features. These improvements are critical as the number of connected devices continues to skyrocket, necessitating more robust and scalable network solutions. For businesses, adopting IPv6 not only ensures future-proofing against IPv4 exhaustion but also positions them at the forefront of technological advancement, enhancing operational efficiency and potential for innovation.

How KeyCore Can Help

At KeyCore, the leading AWS consultancy in Denmark, our expertise in networking solutions is unparalleled. We can assist organizations in navigating the complexities of IPv6 adoption through our professional and managed services. Our team of AWS-certified experts can provide tailored strategies and implementation plans that align with your business goals, ensuring a seamless transition to IPv6. By partnering with KeyCore, organizations can leverage the full potential of AWS technologies and stay ahead in the rapidly evolving digital landscape.

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AWS Compute Blog

Quarterly Recap of AWS Serverless Innovations

The AWS Serverless ICYMI for Q4 2024 delivers a comprehensive overview of the most notable developments in the serverless domain over the past quarter. This 27th edition continues the tradition of highlighting critical product launches, feature enhancements, and valuable content such as blog posts, webinars, and live streams, ensuring that AWS users stay informed about the latest serverless innovations.

Key Product Launches and Updates

AWS introduced several significant serverless product enhancements in this quarter. These include improved capabilities for AWS Lambda and Amazon EventBridge, making serverless operations more efficient and scalable. The updates aim to provide developers with enhanced tools for creating and managing serverless applications, facilitating smoother integration and automation processes.

Educational Content and Community Engagement

The quarter saw a surge in educational resources designed to empower AWS users. Various webinars and live streams were conducted, offering deep dives into serverless technologies and best practices. These sessions are instrumental in demystifying complex AWS services, helping users to leverage serverless architectures effectively. Additionally, the AWS Compute Blog regularly featured posts that provided insights and practical tips for developers working with serverless technologies.

Business Implications

For businesses, these advancements in AWS serverless offerings translate to reduced operational overhead and increased agility. Serverless architectures allow organizations to focus on innovation without worrying about infrastructure management. The continuous updates and educational resources provided by AWS enable enterprises to remain competitive by rapidly adopting new technologies and optimizing their serverless strategies.

How KeyCore Can Assist

KeyCore, with its expertise in AWS services, is well-positioned to help businesses navigate these serverless advancements. Whether it’s consulting on serverless architecture design, implementing the latest AWS features, or providing managed services, KeyCore ensures that organizations maximize the benefits of AWS serverless technologies. By partnering with KeyCore, businesses can enhance their digital transformation journey, leveraging AWS tools to drive efficiency and innovation.

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AWS for M&E Blog

Configuring Live Captions with SyncWords and AWS Elemental Media Services

In the fast-paced world of content creation and broadcasting, providing real-time transcriptions, dubbing, or translations for live streams can be a challenging task. The integration of SyncWords with AWS Elemental Media Services offers a solution that streamlines this process, ensuring quick and accurate live captioning. With consumers across the globe demanding accessible content, leveraging these services can significantly reduce the time and cost associated with live streaming.

The configuration involves utilizing AWS Elemental MediaLive, MediaConnect, and MediaPackage to handle the streaming process, while SyncWords provides the captioning capabilities. This combination ensures that broadcasters can deliver high-quality, accessible content without the usual hurdles. By automating much of the workflow, content creators can focus on producing engaging content rather than getting bogged down by technical challenges.

KeyCore can assist in setting up these services, ensuring seamless integration and optimizing performance for broadcasters looking to enhance their live streaming capabilities with advanced captioning solutions.

Snap Optimizes Bitmoji Rendering with NVIDIA L4 and Amazon G6 Instances

Snapchat’s Bitmoji app allows users to craft personalized avatars, adding a unique layer to their online presence. Given the massive volume of rendering requests from Chats, Stories, and augmented reality (AR) experiences, Snap required an infrastructure that could handle the demand efficiently. By leveraging NVIDIA L4 graphics processing units (GPUs) and Amazon G6 Instances, Snap can now optimize the rendering process for Bitmoji avatars.

This technological upgrade enhances the user experience by ensuring smooth and fast rendering of avatars, even during peak times. By adopting AWS’s scalable and robust cloud infrastructure, Snap is able to provide consistent, high-quality rendering services that meet the needs of millions of users globally.

KeyCore can help organizations like Snap to optimize their cloud infrastructure for high-demand applications, ensuring performance and reliability with advanced AWS solutions.

Juno FX Redefines VFX Production in the Cloud

Juno FX, a visual effects studio, has revolutionized VFX production by harnessing the power of cloud technology. With its SaaS platform, Orion, developed by Juno Innovations, this small team of artists and developers can compete with larger studios. The cloud-based approach allows Juno FX to tap into virtually limitless computing resources, facilitating complex visual effects production without the need for extensive on-premises infrastructure.

This transformation not only democratizes access to high-end VFX tools but also enables rapid scaling and collaboration from anywhere in the world. The cloud’s flexibility allows Juno FX to innovate and deliver cutting-edge entertainment content efficiently and effectively.

KeyCore offers expertise in cloud-based VFX production, providing guidance on leveraging AWS services to maximize creative output while minimizing costs and operational complexities.

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Integration & Automation

Deploying AWS Elastic Disaster Recovery (AWS Elastic DR) at scale is essential for ensuring robust protection for your infrastructure. Managing settings across numerous source servers can be challenging. However, the DRS Settings Tool simplifies this task by allowing bulk updates to settings, enhancing efficiency and reducing manual effort.

Understanding AWS Elastic Disaster Recovery

AWS Elastic Disaster Recovery ensures business continuity by replicating your systems to AWS, enabling rapid recovery in the event of a disaster. This service is crucial for organizations that rely on high availability and quick recovery times. At scale, managing multiple source servers necessitates a streamlined approach to ensure consistent settings across the board.

The Role of the DRS Settings Tool

The DRS Settings Tool is designed to facilitate the bulk updating of AWS Elastic Disaster Recovery settings. By using this tool, administrators can efficiently manage configuration updates across all source servers. This capability is crucial for maintaining uniformity and optimizing disaster recovery strategies.

Setting Up the DRS Settings Tool

To set up the DRS Settings Tool, administrators must follow a few key steps. First, ensure that all necessary prerequisites such as AWS CLI are installed and configured. Next, download and configure the tool in accordance with your infrastructure requirements. By doing so, you prepare the environment for executing bulk update commands.

Using the DRS Settings Tool for Bulk Updates

Once set up, the DRS Settings Tool allows for the modification of various settings across all source servers. This includes adjusting recovery settings, replication settings, and other critical configuration parameters. By using the tool efficiently, administrators can ensure that all servers adhere to the desired disaster recovery policies, reducing the risk of configuration drift.

How KeyCore Can Assist

KeyCore can help organizations deploy and manage AWS Elastic Disaster Recovery effectively. With expertise in both professional and managed services, KeyCore offers tailored solutions that optimize disaster recovery strategies. Our team can assist in setting up and using the DRS Settings Tool, ensuring that your infrastructure remains protected and compliant with best practices. Visit KeyCore to learn more about how we can support your AWS needs.

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AWS Storage Blog

In an era where data volumes are exponentially increasing, organizations need to find efficient ways to manage and store their observability data, such as application logs, metrics, and traces. A report by the International Data Corporation (IDC) predicts that the global datasphere will expand from 33 zettabytes in 2018 to 175 zettabytes by 2025. This massive growth demands robust strategies for data aggregation and archival.

Cost-Effective Log Aggregation

One innovative approach involves using s3tar, a tool that simplifies the process of aggregating logs for storage in Amazon S3. By employing s3tar, businesses can effectively manage the data footprint generated by distributed architectures. The tool enables organizations to bundle log files into a tar archive before uploading them to Amazon S3, which not only helps in reducing storage costs but also optimizes retrieval times.

Benefits of Using Amazon S3

Amazon S3 provides a highly scalable and durable storage solution that is ideal for log archival. It supports a wide range of storage classes that allow businesses to optimize costs according to their access patterns. For instance, infrequent access storage classes can be utilized for logs that are not frequently retrieved, offering substantial cost savings.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, is well-equipped to assist organizations in implementing efficient log aggregation and archival solutions using Amazon S3 and s3tar. Our team of AWS experts can help tailor storage strategies that align with business objectives, ensuring optimal performance and cost-efficiency. Whether it’s setting up automated workflows for log processing or configuring access policies, KeyCore provides comprehensive support to enhance your AWS storage capabilities.

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AWS Architecture Blog

TVS Supply Chain Solutions has leveraged the AWS Transfer Family for AS2 to create a robust file transfer platform, specifically designed for enhanced B2B collaboration. By integrating cloud-based services, they have transformed traditional B2B communication processes into more efficient and compliant solutions.

Improving Supply Chain Efficiency

The implementation of a cloud-based file transfer platform has significantly improved the efficiency of TVS Supply Chain Solutions. This transformation has streamlined their document exchange capabilities, enabling faster and more reliable communication between business partners. As a result, supply chain companies can handle increased data volumes without compromising on performance.

Ensuring Compliance and Customer Satisfaction

One of the key advantages of using the AWS Transfer Family for AS2 is its ability to maintain compliance with industry standards, which is crucial for supply chain companies. By adhering to these standards, businesses ensure secure and reliable data exchanges, leading to improved customer satisfaction. This compliance is particularly important in industries where data integrity and security are paramount.

A Blueprint for Modernization

For supply chain providers facing similar challenges, the solution implemented by TVS Supply Chain Solutions serves as a blueprint for modernization. By adopting cloud-based file transfer systems, businesses can not only meet current compliance requirements but also future-proof their operations. This approach provides a scalable and versatile platform that can adapt to evolving business needs.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in designing and implementing AWS Transfer Family solutions. By partnering with KeyCore, businesses can leverage our deep knowledge of AWS services to optimize their file transfer systems. Our professional and managed services ensure that companies not only achieve compliance but also enhance their operational efficiency and customer satisfaction.

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AWS Partner Network (APN) Blog

Supercharge Your Marketing with Publicis Sapient’s Offer Generator

Publicis Sapient introduces a cutting-edge AI-powered marketing solution that significantly accelerates campaign development. Leveraging Amazon Bedrock and advanced large language models (LLMs), this tool empowers marketers to create data-driven, personalized campaigns in just minutes. The integration of margin prediction and offer generation capabilities ensures accurate performance forecasts and optimized return on investment (ROI), transforming the traditional lengthy process into rapid execution. This innovation streamlines the entire campaign journey, from conceptualization to execution, enhancing decision-making and strategic planning for marketing teams.

Transforming the Software Development Lifecycle with Generative AI

IBM and AWS have joined forces to redefine the software development lifecycle (SDLC) through a generative AI-powered solution. By incorporating Amazon Bedrock’s features, organizations can expedite development time by up to 30%, elevate code quality by 25%, and reduce analysis phase duration by 60%. Available on the AWS Marketplace, this solution enhances efficiency and standardization across all SDLC stages. Businesses can expect a notable improvement in overall productivity and quality assurance, facilitating smoother project flows and faster time-to-market.

Breaking Down Silos with LeapThought’s FULCRUMHQ

LeapThought’s FULCRUMHQ is a groundbreaking AI-driven platform tailored for the Architecture, Engineering, Construction, and Operations (AECO) industry. It addresses complex project challenges by streamlining workflows and improving decision-making. The platform democratizes Building Information Modeling (BIM) access and transforms data management, enabling teams to fully harness digital transformation. By optimizing performance and reducing rework, FULCRUMHQ enhances efficiency throughout the project and asset lifecycles, ultimately leading to better project outcomes and increased collaboration.

Infosys and AWS Collaborate on a Healthcare AI Assistant

Infosys, in collaboration with AWS, has developed a generative AI-based assistant for a healthcare payer company. This initiative highlights the power of integrating AI solutions into healthcare systems to streamline operations and enhance customer interactions. The assistant leverages AWS’s robust AI capabilities to provide intelligent, context-aware responses, improving service delivery and operational efficiency in the healthcare sector.

Delivering Anti-Fraud Solutions with Generative AI and Amazon Neptune

AWS Partners are equipped with a robust architecture combining Amazon Neptune and Amazon Bedrock’s generative AI to combat cyber fraud. This innovative solution utilizes Graph Neural Networks and natural language processing for near real-time fraud detection. It enables partners to rapidly develop tailored demos and proofs of concept, addressing the increasing need for effective fraud prevention strategies across diverse industries.

Introducing New AWS Ambassadors and Program Activities

The AWS Ambassador Program showcases a global community of AWS experts committed to enhancing AWS proficiency within their organizations. These Ambassadors, selected from APN Services and Software Partners, are pivotal in promoting AWS expertise and strategic advancements. The program continues to grow, offering new opportunities for professional development and collaboration among AWS enthusiasts worldwide, reinforcing AWS’s influence and thought leadership.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, is poised to assist organizations in leveraging these advanced AWS solutions. With expertise in both professional and managed services, KeyCore can guide businesses through implementing AI-driven marketing strategies, optimizing software development lifecycles, and developing anti-fraud architectures. Our team of AWS-certified professionals can help you maximize the potential of AWS technologies, ensuring your projects achieve optimal outcomes and efficiencies. Visit KeyCore to learn more about how we can support your AWS initiatives.

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AWS HPC Blog

Cryo-electron microscopy (Cryo-EM) is revolutionizing the field of structural biology by providing detailed images of biological molecules. The complexity and volume of Cryo-EM data necessitate advanced computational solutions. AWS Parallel Computing Service (PCS) addresses this challenge, offering a scalable infrastructure to enhance Cryo-EM research.

Advancing Cryo-EM with AWS PCS

AWS PCS allows research teams to efficiently manage large-scale, computationally intensive tasks inherent in Cryo-EM data processing. By leveraging the cloud, teams can scale their high-performance computing (HPC) infrastructure dynamically, harnessing the extensive resources of AWS to handle peak workloads without the need for on-premises hardware investment.

Recommended Reference Architecture

The recommended architecture for Cryo-EM on AWS PCS integrates a variety of AWS services to optimize performance and cost-efficiency. Key components include Amazon Elastic Compute Cloud (EC2) for scalable compute capacity, Amazon Simple Storage Service (S3) for robust data storage, and AWS Batch for job scheduling and management. This architecture not only accelerates data processing times but also provides a flexible environment for running complex simulations and analyses.

Business Value and Benefits

By utilizing AWS PCS, structural biology teams gain significant business advantages. The cloud-based solution reduces time-to-insight, allowing researchers to expedite discovery processes and enhance innovation. The pay-as-you-go model of AWS ensures cost-effectiveness, enabling teams to align expenses with actual usage, thus optimizing budget allocation. Additionally, the scalability of AWS PCS ensures that computational resources can be adjusted in real-time to meet changing research demands.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, specializes in designing and implementing HPC solutions tailored to specific research needs. Our team can assist in deploying the recommended Cryo-EM architecture, ensuring optimal configuration and integration with existing workflows. From initial consultation to ongoing management, KeyCore provides end-to-end services to maximize the impact of AWS PCS in Cryo-EM research. Discover more about how KeyCore can transform your HPC capabilities at our website.

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AWS Cloud Operations Blog

Modern enterprise environments are increasingly reliant on complex, interconnected IT systems to drive their business and operations. From unexpected application outages to infrastructure issues, the potential for disruptions that can impact business continuity and customer satisfaction is significant. Many organizations struggle with rapid incident resolution due to limited 24/7 AWS expertise. In this post, Amazon Web Services (AWS) offers insights into leveraging AWS Managed Services (AMS) to expedite incident management and improve system reliability.

Enhancing Incident Resolution with AWS Managed Services

AWS Managed Services provides a comprehensive set of operational capabilities to help organizations manage AWS infrastructure more effectively. By automating routine activities and streamlining incident management processes, AMS can significantly reduce the time taken to resolve issues. This automation is especially beneficial for businesses lacking around-the-clock AWS expertise, enabling them to maintain optimal operational efficiency and minimize downtime.

Business Impact

Implementing AWS Managed Services not only speeds up incident resolution but also positively impacts business continuity and customer satisfaction. By reducing downtime and ensuring smoother operations, businesses can safeguard their reputation and maintain customer trust. Moreover, the strategic reduction in operational disruptions helps in achieving long-term business growth and operational resilience.

KeyCore, the leading Danish AWS consultancy, can assist businesses in seamlessly integrating AWS Managed Services into their operations. Whether it’s setting up automated incident responses or providing ongoing managed services, KeyCore’s expertise ensures that organizations derive maximum value from AWS infrastructure.

Limiting Interactive Session Commands with AWS Systems Manager

Organizations often seek to control the types of commands users can execute during interactive sessions on Amazon EC2 instances. AWS Systems Manager Session Manager offers a solution by enabling command restrictions tailored to user groups.

Implementing Command Restrictions

Through AWS Systems Manager, administrators can define permission policies that limit command execution based on group membership. This granular control ensures that only authorized personnel can perform specific tasks, thereby enhancing security and compliance.

Business Value

By restricting command execution, organizations can prevent unauthorized access to critical system functions and reduce the risk of security breaches. This approach not only protects sensitive data but also simplifies compliance with industry regulations.

KeyCore offers expertise in configuring AWS Systems Manager to meet organizational security requirements. With tailored solutions that match business needs, KeyCore empowers organizations to leverage AWS capabilities securely and efficiently.

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AWS for Industries

Architecting Operational Models for Private MEC Using AWS Hybrid and Edge Services

Multi-access Edge Computing (MEC) is revolutionizing how cloud computing capabilities are deployed in mobile networks. By bringing AWS compute and storage capabilities closer to mobile customers, network latency is minimized, and application response times are significantly enhanced. This setup becomes particularly effective with private MEC initiatives, such as those implemented with Verizon private 5G networks. The architecture supports running application workloads at the edge, benefiting industries that demand near-instantaneous data processing and response times. This deployment model is crucial for applications requiring real-time decision-making, such as autonomous vehicles, industrial automation, and Internet of Things (IoT) solutions.

Weather-Based Photovoltaic Monitoring with AWS: The BDPV Case Study

ASSO BDPV, a French non-profit, has harnessed AWS to develop a platform that monitors over 3,000 solar installations in near real-time. By integrating advanced weather data and algorithms, BDPV optimizes solar energy production for small-scale producers. This AWS-powered solution offers enhanced efficiency and reliability, ensuring small-scale solar operators can maximize their energy output even under varying weather conditions. The platform’s scalability allows it to handle large data sets, making it a robust solution for renewable energy optimization.

Improving Production Metrics with an Integrated Monitoring and Analytics Platform

A leading Original Equipment Manufacturer (OEM) faced challenges in improving Jobs Per Hour (JPH) and reducing rework ratios in vehicle production. An integrated production monitoring and analytics platform was designed to address these issues, covering the entire process from inbound stages to final inspection. This platform leverages real-time data analytics to identify bottlenecks and inefficiencies, allowing for targeted improvements in the production line. By optimizing JPH, companies can enhance operational efficiency and reduce costs associated with rework, ultimately leading to improved productivity and profitability.

Yahoo DSP’s Advertising Tech Enhancement with AWS Graviton Processors

In the competitive realm of digital advertising, Yahoo DSP aimed to reduce costs and latency through a strategic migration to AWS. By selecting AWS Graviton processors, Yahoo DSP significantly improved compute efficiency, aligning with their budget constraints and performance requirements. The transition to Graviton processors enabled Yahoo DSP to handle workloads more efficiently, resulting in a substantial reduction in operational costs while maintaining high performance. This strategy showcases how leveraging AWS’s innovative technologies can lead to tangible business benefits in the digital advertising industry.

Generative AI for Automotive Software Requirements Testing

The complexity of software system requirements in the automotive industry is rapidly increasing, demanding innovative solutions. Generative AI offers a promising approach by automatically creating test cases for complex software requirements, including functional aspects like autonomous driving and infotainment systems, as well as non-functional criteria such as performance and security. By utilizing AI-driven methods, automotive companies can enhance their testing processes, ensuring higher reliability and efficiency in software development. This technology not only speeds up the testing phase but also improves the overall quality of software systems deployed in vehicles.

How KeyCore Can Help

KeyCore, the leading AWS consultancy in Denmark, offers expert guidance and solutions tailored to leverage AWS technologies across various industries. Whether optimizing MEC deployments, enhancing renewable energy platforms, improving production metrics, or adopting advanced AI-driven testing methods, KeyCore’s expertise ensures that businesses can fully harness the potential of AWS services for operational excellence and competitive advantage.

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

Preventing Unintended Encryption of Amazon S3 Objects

Amazon Web Services (AWS) recently updated guidance on preventing unintended encryption of Amazon S3 objects. This update emphasizes the importance of using short-term credentials to minimize the risk of unauthorized access techniques. AWS continuously prioritizes the security of customer data. The blog dives into potential security risks and provides actionable strategies to mitigate them, ensuring that user data remains secure and accessible only to authorized personnel. Implementing robust credential management practices is essential in maintaining data integrity and security in AWS environments.

AWS Achieves HDS Certification for 24 AWS Regions

Amazon Web Services has announced the successful renewal of the Health Data Hosting (Hébergeur de Données de Santé, HDS) certification for 24 AWS Regions. This certification, managed by the French governmental agency Agence du Numérique en Santé (ANS), strengthens the security and protection of health data hosted on AWS. By achieving this certification, AWS reaffirms its commitment to providing secure and compliant infrastructure for healthcare data, ensuring that healthcare providers can trust AWS to manage sensitive information safely. This certification supports organizations in complying with rigorous data protection standards required in the healthcare industry.

Integrating IAM Policy Checks with Visual Studio Code

Amazon Web Services has enhanced the IAM Access Analyzer with a new feature, integrating policy checks directly into the development environment through the AWS Toolkit for Visual Studio Code (VS Code). This integration allows developers to validate IAM policies against custom rules without leaving their IDE, streamlining the development process and enhancing security. By using these policy checks, developers can ensure that their IAM configurations are secure and compliant with organizational standards, reducing the likelihood of misconfigurations that could lead to security vulnerabilities.

AWS re:Invent 2024: Security, Identity, and Compliance Recap

The AWS re:Invent 2024 conference in Las Vegas showcased significant announcements in security, identity, and compliance, with over 54,000 attendees participating. Key highlights included on-demand sessions that provided deep dives into AWS’s latest innovations and strategies. The event served as a platform for sharing knowledge and best practices, further empowering the global cloud community to harness AWS technologies securely and efficiently. Featured topics covered advancements in identity management, data protection, and compliance assurance, offering attendees insights into the future of cloud security.

Monitoring and Securing Amazon Cognito Machine-to-Machine Authorization

Amazon Cognito offers a robust solution for managing machine-to-machine authorization, providing developers with tools to streamline user authentication and access management. By focusing on the security of machine-to-machine interactions, Cognito helps ensure that applications can securely authenticate and authorize users with minimal friction. The service supports a wide range of use cases, from managing user identities to facilitating secure access to resources. Key features include comprehensive monitoring capabilities and optimization strategies, enabling developers to maintain secure communication channels between their applications and users.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, offers expert guidance and support in implementing secure and compliant AWS solutions. Whether it’s securing your Amazon S3 objects, achieving compliance certifications, integrating IAM policy checks, or optimizing Amazon Cognito, KeyCore provides tailored services to meet your specific needs. Our team of AWS-certified consultants can help you navigate the complexities of AWS security, ensuring that your cloud infrastructure is robust, compliant, and optimized for your business objectives. Reach out to KeyCore to learn how we can enhance your AWS environment with cutting-edge security and compliance measures.

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Front-End Web & Mobile

Integrating AI in Manufacturing Search Engines with AWS Amplify

By leveraging AWS Amplify Gen 2, Amazon Bedrock, and Amazon OpenSearch, manufacturers can build an AI-powered search engine that revolutionizes data interaction. These technologies work together to dismantle data silos, offering seamless access to critical information such as defect logs, operational data, and cost analyses. The result is improved decision-making and enhanced operational efficiency.

Amazon Bedrock provides the foundation for generative AI capabilities, enabling natural language processing to interpret complex queries. AWS Amplify accelerates the development process with a powerful set of tools for building web and mobile applications. OpenSearch ensures efficient indexing and retrieval of data, making the search process faster and more accurate.

This integration not only speeds up data access but also enhances the precision of information retrieval. By adopting this solution, businesses can streamline their operations, reduce costs, and gain a competitive edge in the manufacturing sector.

Enhancing GraphQL API Development with AWS AppSync Field-Level Resolvers

AWS AppSync introduces field-level resolvers, a powerful feature that significantly enhances GraphQL API development. These resolvers are specialized pieces of code that define how data is fetched, processed, and returned for individual fields within schema types. This granularity allows developers to optimize data handling, resulting in more efficient and responsive applications.

Field-level resolvers empower developers to tailor data interactions precisely according to application requirements. This reduces overhead by ensuring that only the necessary data is retrieved and processed. Moreover, this approach enhances the scalability of applications by optimizing resource usage.

For developers looking to build robust and scalable GraphQL APIs, incorporating AWS AppSync’s field-level resolvers offers a pathway to improved performance and flexibility. This approach not only streamlines development but also enhances the user experience by minimizing latency and improving data accuracy.

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Innovating in the Public Sector

Integrating Amazon Bedrock with Amazon Alexa for Enhanced Foundation Model Queries

Generative artificial intelligence (AI) is increasingly becoming integral to decision-making processes worldwide. At the heart of this transformation are foundation models (FMs) that store and process data effectively. To ensure the accuracy and relevance of data used by these models, Amazon Web Services (AWS) has developed an innovative solution by integrating Amazon Bedrock with Amazon Alexa. This integration allows for the generation of SQL queries to effectively answer user questions concerning the data, thereby optimizing decision-making processes.

This approach was initially developed to support the Federal Institute of São Paulo (IFSP), facilitating improved decision-making within the institution. The integration showcases the potential of leveraging AWS technologies to enhance the precision and efficiency of data-driven insights in the public sector.

AWS Tech Alliance India: Elevating Career Readiness in New Technologies

Launched in February 2024, the AWS India Tech Alliance is aimed at boosting career readiness and modernizing technological study programs through hands-on learning initiatives. Since its inception, the alliance has facilitated over 50 events, connecting 29,000 learners with potential employers across India. Through various applied learning activities, the initiative seeks to equip diverse learners with the skills necessary to excel in the evolving tech landscape.

This program underscores AWS’s commitment to fostering career development and educational advancement, ensuring that learners are well-prepared for the demands of new and emerging technologies.

Generative AI for Mission Innovation in the US Federal Sector

David Appel, Vice President of US Federal Sales at AWS Worldwide Public Sector, is a prominent advocate for using generative AI to drive mission innovation. In the 11th episode of AWS Behind the Cloud, he shared insights on how AWS’s capabilities can help federal agencies tackle complex issues and meet critical mission needs.

Appel’s discussion highlights the transformative role of generative AI in enhancing the efficiency and effectiveness of government operations, showcasing AWS’s potential to contribute significantly to public sector innovation.

Amazon Bedrock’s Deployment in the AWS Top Secret Cloud

Amazon Bedrock has become generally available in the AWS Top Secret Cloud, providing U.S. Government customers with secure access to foundation models (FMs) and generative AI capabilities. This deployment within AWS’s classified environment ensures that government agencies can utilize advanced AI technologies while maintaining strict security protocols.

With this authoritative integration, AWS continues to demonstrate its commitment to supporting the unique needs of public sector entities, providing them with the tools necessary to leverage AI in achieving their objectives securely and efficiently.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-positioned to aid organizations in harnessing the power of AWS technologies. Whether it’s integrating Amazon Bedrock with existing systems or facilitating workforce readiness through educational alliances, KeyCore offers expertise in both professional services and managed services. Our team can assist in tailoring AWS solutions to meet specific operational needs, ensuring that public sector entities can leverage these innovations to their fullest potential. Explore our offerings at KeyCore.dk for more information.

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AWS Open Source Blog

AWS CDK, the open source framework that allows defining cloud infrastructure in code, is undergoing a strategic split of its components. The AWS Cloud Development Kit (CDK) consists of two main elements: the Construct Library and the Command Line Interface (CLI). This separation aims to improve the flexibility and manageability of projects built using AWS CDK.

Understanding the Construct Library

The Construct Library is a collection of components used in various programming languages to model AWS applications. It plays a central role in AWS CDK by enabling the modeling of infrastructure as code. With this library, users can define their AWS resources and relationships using high-level constructs.

The Role of the CLI

Alongside the Construct Library, the CLI is integral in the AWS CDK ecosystem. It provides the tools needed to synthesize, deploy, and manage AWS infrastructure described by the code. By separating the CLI from the Construct Library, AWS aims to offer more modular and maintainable solutions for developers.

Benefits of the Component Split

By splitting these components, AWS enhances the flexibility of the CDK framework. Developers gain the ability to update or replace one component without affecting the other. This modularity can lead to faster innovation and more targeted updates, improving overall efficiency and adaptability for users.

How KeyCore Can Assist

KeyCore, as a leading AWS Consultancy, can support businesses in navigating these changes within the AWS CDK framework. Leveraging our expertise, we can guide the integration of AWS CDK into existing workflows, ensuring a smooth transition and maximizing the benefits of the new structure. Our team can provide tailored solutions and training, enabling organizations to harness the full potential of AWS CDK’s capabilities.

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