Summary of AWS blogs for the week of monday Mon Jul 01

In the week of Mon Jul 01 2024 AWS published 53 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Amazon AppStream 2.0 allows users to securely stream their applications and desktops. One critical decision administrators face is whether to use single-session or multi-session fleets. Each approach has its own advantages and considerations.

Single-Session Fleets

With single-session fleets, each user receives a dedicated instance for their streaming session. This provides optimal performance and security as resources are not shared. However, it can be more expensive because each user needs a separate instance. Single-session fleets are ideal for workloads requiring high performance, sensitive data, or specialized applications.

Multi-Session Fleets

In a multi-session fleet, multiple users share the same instance. This significantly reduces costs as resources are pooled and utilized more efficiently. Using Amazon’s well-architected principles, multi-session fleets can be optimized to balance performance and cost. They are particularly useful for scenarios where users have intermittent usage or where applications do not require dedicated resources.

Cost Considerations

Choosing between single and multi-session fleets impacts operational costs. Single-session fleets ensure high performance at a higher cost. Conversely, multi-session fleets offer cost savings but may require more careful management to avoid performance bottlenecks.

Security and Compliance

Security considerations also play a role in this decision. Single-session fleets provide isolated environments, enhancing security. Multi-session fleets need stringent access controls and monitoring to ensure data integrity and compliance with regulations.

Performance and User Experience

Performance and user experience can vary between the two fleet types. Single-session fleets typically offer better performance due to dedicated resources. Multi-session fleets may need additional monitoring and optimization to maintain a satisfactory user experience.

Conclusion

Deciding between single and multi-session fleets depends on specific business needs, budget, and security requirements. Both options have their own benefits and trade-offs.

How KeyCore Can Help

KeyCore can assist organizations in designing and implementing the most effective Amazon AppStream 2.0 fleet strategy. Leveraging years of AWS expertise, KeyCore ensures cost efficiency, robust security, and optimal performance tailored to your unique needs. With professional and managed services, KeyCore supports the entire lifecycle of your AppStream 2.0 deployment.

Discover more about how KeyCore can enhance your AppStream 2.0 experience by visiting our website.

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AWS DevOps Blog

Refactoring to serverless architecture is a powerful method to enhance efficiency, reduce costs, and leverage the full capabilities of AWS managed services. This process involves replacing traditional application code with cloud automation, thereby decoupling business logic from the underlying architecture. By doing so, organizations can focus on application logic and delegate infrastructure management to AWS, which optimizes resource utilization and cost-effectiveness.

Benefits of Refactoring to Serverless

By moving to serverless, organizations can achieve significant cost savings. Serverless computing charges based on actual usage rather than pre-allocated resources, eliminating the expense of idle capacity. Additionally, serverless architectures promote decoupled systems, enhancing scalability and flexibility. The use of managed services, like AWS Lambda and Amazon API Gateway, allows teams to harness native capabilities such as auto-scaling, high availability, and built-in security, leading to more robust and secure applications.

Implementing Cloud Automation

Cloud automation further streamlines operations by automating repetitive tasks and enabling continuous integration and continuous deployment (CI/CD) pipelines. Tools like AWS CloudFormation, AWS CodePipeline, and AWS CodeBuild facilitate the creation, testing, and deployment of serverless applications. This automation reduces human error, accelerates release cycles, and fosters an environment of continuous improvement.

KeyCore’s expertise in AWS can guide organizations through the entire refactoring process. From initial assessment and planning to implementation and optimization, our team ensures a seamless transition to serverless architecture.

Modernizing Java Applications with Amazon Q Developer

Many businesses rely on legacy Java applications that are challenging to maintain due to outdated frameworks, undocumented code, and security vulnerabilities. Modernizing these applications is crucial but can also be complex and risky. Amazon Q Developer offers a comprehensive solution for this modernization effort, enabling teams to update and enhance their Java applications efficiently.

Challenges of Legacy Java Applications

Legacy Java applications often suffer from a lack of logging and error handling, making troubleshooting difficult. Additionally, outdated libraries and frameworks pose security risks and hinder performance. Modernizing these applications requires addressing these issues while ensuring minimal disruption to business operations.

Benefits of Using Amazon Q Developer

Amazon Q Developer simplifies the modernization process by providing tools and frameworks that support updated Java standards and practices. It enhances security, improves performance, and introduces modern logging and error-handling mechanisms. This modernization effort not only maintains but also enhances the application’s functionality, ensuring it meets contemporary standards and business needs.

KeyCore can help organizations navigate the complexities of modernizing their Java applications. Leveraging our deep AWS expertise, we offer tailored solutions that mitigate risks, optimize performance, and ensure a smooth transition to modern, maintainable Java applications.

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AWS for SAP

Managing modern supply chains comes with immense challenges such as global volatility, transportation disruptions, and unforeseen changes in customer demand. To address these issues, supply chains need agility, scalability, and innovation. AWS Supply Chain offers a compelling solution for customers looking to overcome these challenges and transform their supply chain operations. AWS Supply Chain integrates seamlessly with SAP S/4HANA to enhance supply chain resiliency and optimize costs.

Challenges in Modern Supply Chains

Supply chain management has become increasingly complex due to various factors such as global volatility, transportation disruptions, and unpredictable customer demands. These challenges necessitate a robust solution that can adapt and scale accordingly.

Benefits of AWS Supply Chain

AWS Supply Chain provides a powerful set of tools designed to enhance resiliency and optimize costs. It helps organizations better manage their supply chain operations by offering real-time visibility, advanced analytics, and AI-driven decision-making capabilities.

Integration with SAP S/4HANA

AWS Supply Chain integrates seamlessly with SAP S/4HANA, allowing businesses to leverage their existing investments in SAP technologies. This integration ensures that businesses can optimize their supply chain processes while maintaining the robustness and reliability of SAP S/4HANA.

Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. These AI technologies mimic human intelligence in tasks like image recognition, natural language processing (NLP), and translation. Amazon Q and Bedrock offer innovative solutions for SAP use cases by utilizing generative AI.

Introduction to Generative AI

Generative AI is an advanced form of artificial intelligence that can generate new content autonomously. It uses large datasets to learn and create new, unique outputs, making it valuable for various applications.

Enhancing Productivity with Amazon Q and Bedrock

Amazon Q and Bedrock leverage generative AI to improve productivity in SAP environments. These tools enable businesses to automate routine tasks, generate insights, and create new content, significantly enhancing operational efficiency.

Applications in SAP Use Cases

By integrating Amazon Q and Bedrock with SAP systems, businesses can streamline processes such as data analysis, reporting, and content creation. This integration helps organizations unlock new levels of productivity and innovation, ultimately driving better business outcomes.

How KeyCore Can Help

KeyCore offers expert consultancy services to help businesses leverage AWS Supply Chain and generative AI solutions like Amazon Q and Bedrock for SAP use cases. Our team of AWS specialists can assist with integration, optimization, and customization to ensure that your supply chain operations are resilient and cost-effective. By partnering with KeyCore, businesses can unlock the full potential of AWS and SAP technologies, driving innovation and efficiency in their operations.

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Official Machine Learning Blog of Amazon Web Services

Amazon Web Services (AWS) offers a plethora of tools and services that enable organizations to leverage the power of machine learning and artificial intelligence. Here’s a summary of some recent articles from the Official Machine Learning Blog of Amazon Web Services.

Build a Multilingual Personal Calendar Assistant with Amazon Bedrock and AWS Step Functions

AWS demonstrates how to build a fully-automated, multilingual calendar AI assistant using Amazon Bedrock, AWS Step Functions, and Amazon Simple Email Service (Amazon SES). The assistant can understand incoming messages, translate them to a preferred language, and set up calendar reminders automatically. This integration allows for seamless communication across different languages, enhancing productivity and user experience.

Medical Content Creation in the Age of Generative AI

Generative AI and transformer-based large language models (LLMs) are revolutionizing various industries, including the heavily-regulated healthcare and life sciences (HCLS) sector. These models excel in tasks such as question answering, text summarization, code generation, and more. Companies in the HCLS industry are leveraging LLMs for various use cases, showcasing the transformative potential of generative AI in creating medical content.

Introducing Guardrails in Knowledge Bases for Amazon Bedrock

Knowledge Bases for Amazon Bedrock is a fully managed capability that securely connects foundation models (FMs) to company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation, removing the need for custom integrations and data flow management. It ensures that the data used in AI models is accurate and secure.

Prompt Engineering Techniques and Best Practices

Interacting with generative AI tools often requires prompt engineering to achieve the desired outcomes. Techniques and best practices in prompt engineering are crucial for optimizing the performance of large language models (LLMs). AWS provides insights into how to effectively use these techniques with Anthropic’s Claude 3 on Amazon Bedrock, helping users get more accurate and relevant responses from AI tools.

Improve Productivity with Amazon Q Business

Amazon Q Business is a generative AI-powered assistant capable of answering questions, summarizing content, generating new content, and extracting insights from both digital and scanned PDF documents. This tool is highly beneficial for industries like finance, insurance, and healthcare, where processing large volumes of documents is routine. It significantly enhances productivity by automating the content extraction process.

Accelerated PyTorch Inference with torch.compile on AWS Graviton

PyTorch 2.0 introduced torch.compile to optimize model performance by pre-compiling the entire model into a single graph, unlike the default eager mode. This enhancement, especially when used on AWS Graviton processors, accelerates PyTorch inference, making it more efficient for large-scale machine learning tasks. This technological advancement allows for faster and more efficient model deployment in production environments.

Access Control for Vector Stores with Knowledge Bases for Amazon Bedrock

Knowledge Bases for Amazon Bedrock now includes access control features using metadata filtering, allowing organizations to integrate their data securely into the language model’s generation process. This capability ensures that only authorized data is used, enhancing the security and accuracy of AI-generated outputs. It empowers organizations to fully utilize LLMs while maintaining strict data access controls.

Accenture’s Custom Memory-Persistent Conversational User Experience

Accenture, using Amazon Q Business, has developed a memory-persistent conversational user experience to enhance information retrieval from documents. This approach reduces the time and effort required to find and synthesize information, improving productivity and reducing the risk of missing critical insights. This innovative solution showcases the potential of generative AI in transforming traditional document handling processes.

Create an End-to-End Serverless Digital Assistant with Amazon Bedrock

Organizations are increasingly adopting digital assistants for semantic search using Retrieval Augmented Generation (RAG) over their enterprise data sources. AWS provides an end-to-end serverless solution with Amazon Bedrock, allowing companies to scale their workloads efficiently. This serverless architecture minimizes operational overhead, making it easier to manage and deploy digital assistants in production environments.

Build a Self-Service Digital Assistant Using Amazon Lex and Knowledge Bases

AWS highlights how organizations can build scalable, cost-effective digital assistants using Amazon Lex and Knowledge Bases for Amazon Bedrock. These AI-powered chatbots provide human-like interactions and handle generic inquiries, freeing up live agents for more complex tasks. This approach enhances customer support services while maintaining high levels of efficiency and user satisfaction.

Identify Idle Endpoints in Amazon SageMaker

Amazon SageMaker simplifies building, training, deploying, and managing machine learning models at scale. AWS introduces tools to identify and manage idle endpoints within SageMaker, optimizing resource usage and reducing costs. This functionality is crucial for maintaining efficient and cost-effective machine learning operations in today’s fast-paced technological landscape.

Indian Language RAG with Cohere Multilingual Embeddings and Anthropic Claude 3

Media and entertainment companies serving multilingual audiences can leverage Retrieval Augmented Generation (RAG) with Cohere multilingual embeddings and Anthropic Claude 3 on Amazon Bedrock. This approach allows for analyzing unstructured text and images, enabling the generation of new content that caters to diverse audience segments. It highlights the potential of combining multilingual AI capabilities with extensive data to create more inclusive media experiences.

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Announcements, Updates, and Launches

The latest AWS Weekly Roundup for July 1, 2024, brings exciting updates across various AWS services, ahead of the highly anticipated AWS Summit New York. Here are the key announcements and updates:

AI21 Labs’ Jamba-Instruct in Amazon Bedrock

AI21 Labs has introduced Jamba-Instruct within Amazon Bedrock, offering enhanced natural language processing capabilities. This integration allows users to leverage advanced AI models for a range of applications, from chatbots to language translation. Jamba-Instruct aims to make AI more accessible and powerful for AWS customers, boosting productivity and innovation.

Amazon WorkSpaces Pools

Amazon WorkSpaces has launched WorkSpaces Pools, enabling organizations to manage virtual desktop environments more efficiently. This update allows for better resource allocation and cost management by pooling resources across different user groups. It’s especially beneficial for businesses with dynamic workforce needs, ensuring optimal performance and scalability.

AWS Summit New York

The AWS Summit New York is just 10 days away, and it promises to be an eventful gathering with more than 170 sessions. This summit is a significant opportunity for AWS users to learn about the latest advancements, network with peers, and gain insights from industry experts. Attendees can look forward to in-depth sessions on cloud strategy, cutting-edge technologies, and best practices.

A Night Out with AWS

Following the main summit event, AWS is hosting “A Night Out with AWS,” targeting professionals from media and entertainment, gaming, and sports industries. This exclusive event is designed for existing AWS customers and aims to foster community engagement, share success stories, and explore new opportunities in leveraging AWS services.

These updates underline AWS’s commitment to continuously enhancing its service offerings and supporting its customers in various industries. The upcoming AWS Summit New York is an excellent platform for users to stay ahead of the curve and maximize their AWS investments.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, is well-equipped to assist businesses in navigating these new features and updates. Whether it’s integrating AI21 Labs’ Jamba-Instruct into your applications, optimizing resource management with Amazon WorkSpaces Pools, or maximizing the benefits of AWS Summit learnings, KeyCore provides expert guidance and customized solutions. Reach out to KeyCore for professional and managed services that ensure your AWS environment is robust, efficient, and future-ready.

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Official Database Blog of Amazon Web Services

When you create a new Amazon Relational Database Service (Amazon RDS) for SQL Server instance, the master user is granted certain privileges for that database instance. It is strongly recommended not to use the master user directly in applications. Instead, adhere to the principles of least privilege and best practices by using a database user created with the minimal permissions required for your application.

Cloning Master User Permissions

This post outlines how to clone the master user to a new login and review it for minimal permissions required. By cloning the master user, you ensure that applications do not have excessive privileges. This enhances security and adheres to best practices in database management.

Storage in Amazon Aurora MySQL is managed differently from traditional MySQL databases. This post explores the different types of storage available in Amazon Aurora MySQL, how Aurora uses those storage types, and how to monitor storage consumption. It also includes database queries and Amazon CloudWatch metrics to estimate Aurora storage billing.

Types of Storage in Amazon Aurora MySQL

Amazon Aurora MySQL uses a combination of SSD-backed storage for data and log storage. This ensures high performance and reliability. The post explains how these storage types are utilized and managed.

Monitoring Storage Utilization

Understanding storage metrics is critical for optimizing costs and performance. This section covers Amazon CloudWatch metrics and specific queries that help monitor and estimate storage consumption, allowing for more accurate billing predictions.

The London Stock Exchange Group (LSEG) Capital Markets Business unit improved their Blue/Green software deployment methodology using continuous logical database replication. This post details the process of implementing a Blue/Green deployment architecture using Aurora PostgreSQL Global Database.

Implementing Blue/Green Deployments

Blue/Green deployment serves as a robust and efficient approach to ensure applications stay resilient and synchronized throughout the process. The post explores best practices and considerations when configuring the architecture, showcasing how LSEG achieved optimized deployments.

This post demonstrates how to use Aurora Global Database to build resilient multi-Region applications and the best practices for this setup.

Building Multi-Region Applications

Utilizing Aurora Global Database allows for creating applications that are resilient across multiple regions. The post explains strategies and practices for setting up a robust multi-Region database architecture, ensuring high availability and disaster recovery.

With AWS DMS homogenous migration, data can be migrated from a source database to an equivalent engine on AWS using native database tools. This post describes an example of a complete homogeneous migration process from PostgreSQL to Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL, along with troubleshooting steps.

Migration Process

The post provides a step-by-step guide to migrating databases using AWS DMS, ensuring data integrity and minimal downtime. This helps streamline the migration process and reduces the complexity involved in moving databases to the cloud.

Troubleshooting Migration Issues

Common challenges and their solutions are discussed, providing practical troubleshooting steps. This ensures that migrations are smooth and any potential issues are addressed promptly.

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AWS for Games Blog

Imagine a visual canvas where ideas converge, sparking inspiration and collaboration. That’s the power of a mood board—a curated collection of images, colors, and textures that encapsulate the essence of a project. These versatile tools empower artists and designers to visualize concepts and establish a cohesive vision across various creative industries, including video games. This introduction is part of a series on using Amazon Bedrock and Miro to level up mood board creation.

Introduction to Amazon Bedrock and Miro

Amazon Bedrock is a powerful set of AI services from AWS that enables developers to build, train, and deploy machine learning models at scale. Miro, on the other hand, is a collaborative online whiteboard platform that brings teams together to brainstorm and visualize ideas. By integrating these tools, creators can enhance their mood board creation process, making it more efficient and innovative.

Enhancing Creativity with AI

Amazon Bedrock provides AI-driven features such as image recognition and natural language processing, which can significantly improve the mood board creation workflow. For instance, designers can use AI to automatically categorize and tag images, making it easier to organize and find visual elements. Additionally, AI can suggest complementary images and colors based on the initial input, providing a new level of creative assistance.

Serving more than 550,000 users globally, Gamer Arena offers a unique ecosystem for video game players to compete and earn rewards. Established in 2020, the company aims to introduce gamers to the advantages of blockchain technology in a fun and exciting way. It hosts a mobile application with more than 20 self-published games, as well as a vibrant community of players.

Optimizing Operations with AWS

To minimize DevOps demands and unlock generative AI potential, Gamer Arena leverages AWS services. Using AWS Lambda and Amazon ECS, the company manages its backend infrastructure efficiently, allowing the development team to focus more on game design and user experience. Additionally, AWS’s robust security features ensure that user data is protected, which is crucial for maintaining trust in the platform.

Unlocking Generative AI Potential

Gamer Arena utilizes AWS’s machine learning services, such as Amazon SageMaker, to explore generative AI applications. This includes creating new game content, personalizing user experiences, and enhancing in-game interactions. By leveraging AWS’s scalable infrastructure, Gamer Arena can rapidly prototype and deploy AI-driven features, staying ahead in the competitive gaming industry.

How KeyCore Can Help

At KeyCore, the leading Danish AWS consultancy, we offer both professional and managed services to help organizations leverage AWS for their unique needs. Whether improving creative workflows with Amazon Bedrock and Miro or optimizing game infrastructure like Gamer Arena, KeyCore can provide the expertise necessary to maximize the benefits of AWS. Contact us to learn more about how we can assist in implementing advanced AWS solutions for your projects.

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Official Big Data Blog of Amazon Web Services

Fine-grained access control is crucial for data security in modern data lakes and data warehouses. Organizations handle vast amounts of data across multiple sources, increasing the importance of managing sensitive information. Ensuring that the right people access the right data without exposing sensitive information is key to maintaining data security.

Automate Data Loading into Amazon Redshift

Amazon Redshift is a fast, scalable, and secure cloud data warehouse. It makes analyzing data using standard SQL and existing ETL (extract, transform, load), BI, and reporting tools simple and cost-effective. Tens of thousands of customers process exabytes of data with Amazon Redshift. Automating data loading from databases into Amazon Redshift can be achieved using AWS Database Migration Service (DMS), AWS Step Functions, and the Redshift Data API. This automation streamlines data workflows and enhances operational efficiency.

Introducing Self-managed Data Sources for Amazon OpenSearch Ingestion

Many enterprises adopt Amazon OpenSearch Ingestion (OSI) to bring data into Amazon OpenSearch Service for various use cases such as log analytics, real-time streaming, security analytics, and searching semi-structured data. OSI simplifies this process with straightforward integrations, making it easy to ingest data from AWS services like Amazon DynamoDB, Amazon S3, and others. This self-managed approach allows for greater flexibility and control over data ingestion workflows.

Best Practices for Managing Python Dependencies in Amazon MWAA

Data engineers and scientists use Amazon Managed Workflows for Apache Airflow (Amazon MWAA) for orchestrating data pipelines and ML workloads. They often require additional Python packages, such as Apache Airflow Providers. Proper management of these dependencies is essential for the smooth operation of data pipelines. Following best practices for managing Python dependencies ensures that workflows run efficiently and reliably.

Enhancing Data Discovery with Advanced Search Filtering in Amazon DataZone

Amazon DataZone is a fully managed data management service that helps organizations catalog, discover, analyze, share, and govern data. The new advanced search filtering capabilities in the Amazon DataZone business data catalog improve the rendering of glossary terms, making it easier to navigate large data sets. These enhancements significantly improve data discovery, enabling users to find relevant information quickly and efficiently.

How KeyCore Can Help

KeyCore specializes in providing comprehensive AWS solutions tailored to businesses’ needs. With expertise in data security, automation, data ingestion, dependency management, and data discovery, KeyCore can help organizations implement and optimize these AWS services. Whether it’s setting up fine-grained access controls, automating data workflows, or enhancing data discovery, KeyCore’s professional and managed services ensure optimal performance and security.

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Networking & Content Delivery

In May 2024, Amazon Web Services (AWS) introduced a groundbreaking feature for internet-facing Application Load Balancers (ALBs), allowing the provisioning of these load balancers without the need for public IPv4 addresses. This enhancement is particularly significant for environments that are moving towards IPv6-only connectivity, facilitating a more seamless transition and future-proof network architecture.

IPv6-Only Connectivity

This new feature enables clients to connect to ALBs using only IPv6 addresses. Clients accomplish this by resolving the AAAA DNS records assigned to the Application Load Balancer. By eliminating the dependency on public IPv4 addresses, AWS is supporting the growing trend of IPv6 adoption and helping organizations prepare for an IPv6-dominant future.

Benefits and Business Value

The key benefits of this dual-stack feature include improved scalability, better performance, and enhanced security. By leveraging IPv6, organizations can take advantage of a vast address space, reducing the risk of IP address exhaustion. Additionally, IPv6 offers more efficient routing and improved end-to-end connectivity, which can enhance application performance. The security improvements include built-in IPsec support, providing better protection for data in transit.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, can assist organizations in seamlessly integrating this dual-stack feature into their existing infrastructure. Our team of experts can provide guidance on best practices for IPv6 adoption, ensure smooth transition processes, and offer managed services to maintain optimal performance and security. Whether you are looking to implement this feature for the first time or optimize your current setup, KeyCore has the expertise to help you leverage the full potential of AWS’s latest networking enhancements.

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AWS Compute Blog

The 26th edition of the AWS Serverless ICYMI (In Case You Missed It) quarterly recap provides a comprehensive overview of all the notable events from Q2 2024 in the serverless world. This quarterly recap covers product launches, feature enhancements, blog posts, webinars, live streams, and various other interesting updates. Here’s a summary of what happened in the serverless ecosystem during this quarter.

Product Launches and Feature Enhancements

In Q2 2024, AWS introduced several new serverless services and enhancements to existing ones. These updates aim to simplify serverless application development and improve performance. Key highlights include enhancements to AWS Lambda’s cold start performance and the introduction of new capabilities in AWS Step Functions.

Educational Content and Learning Resources

The quarter also saw the release of numerous educational resources. AWS published several blog posts covering best practices for serverless architecture, optimization techniques, and case studies. Additionally, webinars and live streams were hosted to provide hands-on learning sessions and deep dives into serverless technologies.

Community and Ecosystem Updates

AWS continues to foster a strong community around serverless technologies. This quarter featured various community-driven events, meetups, and hackathons. These gatherings serve as a platform for sharing knowledge and experiences, helping developers stay current with the latest trends and innovations in serverless computing.

Business Value of Serverless Innovations

The innovations released in Q2 2024 bring significant business value. Improved performance and new features enable faster development cycles and lower operational costs. These enhancements help businesses innovate more rapidly and deliver high-quality applications to their users more efficiently.

KeyCore’s Expertise in Serverless Technologies

KeyCore is dedicated to helping businesses leverage the full potential of AWS serverless technologies. With extensive experience in implementing and optimizing serverless solutions, KeyCore can assist in designing scalable and cost-effective architectures. Whether it’s through professional services or managed services, KeyCore ensures that clients achieve their goals with the latest serverless advancements.

For a more detailed look at the updates and resources from Q2 2024, check out the full AWS Serverless ICYMI recap.

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AWS for M&E Blog

With the vast amount of National Football League (NFL) programming available today, it’s easy to overlook the limited coverage of the past. Since its launch in 2003, NFL Media has transformed into a significant sports entertainment entity. It now publishes a wide array of content through its channels, partner channels, and a direct-to-consumer app.

Evolution of NFL Media

NFL Media’s growth over the years is impressive. Initially, coverage was confined to game day broadcasts. Today, it offers extensive programming, including live games, highlights, and behind-the-scenes content. This evolution is driven by the demand for constant and diverse NFL-related content from fans.

Modern Distribution Channels

Distribution channels have played a crucial role in this transformation. NFL Media utilizes its own platforms and collaborates with partners to ensure content reaches fans on their preferred devices. The direct-to-consumer app is a prime example, providing fans with easy access to live games and other exclusive content.

Technical Infrastructure

Behind the scenes, a robust technical infrastructure supports this vast amount of content. AWS services are integral to this setup, providing scalable and reliable cloud solutions that handle high traffic volumes during peak times, like game days. AWS’s media services, such as AWS Elemental MediaLive and MediaPackage, help in real-time content encoding and delivery.

Business Impact

The advancements in NFL Media’s content distribution have significantly increased fan engagement and viewership. By leveraging AWS, NFL Media can offer a seamless viewing experience, resulting in higher subscriber retention and attracting new viewers.

KeyCore’s Role

KeyCore can assist organizations in the media and entertainment industry to achieve similar success. By utilizing AWS services and KeyCore’s expert consultancy, companies can enhance their content delivery infrastructure, ensuring scalability, reliability, and high-quality user experiences.

For more insights into how KeyCore can support your media and entertainment needs with AWS, explore our offerings on KeyCore’s website.

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AWS Developer Tools Blog

Announcing the End-of-Support for PHP Runtimes 8.0.x and Below in the AWS SDK for PHP

Starting January 13, 2025, the AWS SDK for PHP will no longer support PHP 8.0.x, which reached its end-of-life on November 26, 2023. This change also applies to PHP versions 7.2.x, 7.3.x, and 7.4.x, which reached end-of-life in November 2020, November 2021, and November 2022, respectively. Developers currently using these PHP runtimes will need to upgrade to supported versions to continue receiving updates and support.

Upgrade Recommendations

If you are using any of the deprecated PHP runtimes, it is recommended to upgrade to PHP 8.1 or later. Upgrading ensures that you continue to receive security patches and support from the AWS SDK for PHP. Additionally, upgrading can provide performance improvements and access to new features in the latest PHP versions.

Business Impact

Failing to upgrade PHP runtimes can result in security vulnerabilities and lack of support, potentially impacting your business operations. Ensuring that your AWS SDK for PHP is up-to-date helps maintain the security and efficiency of your web applications.

Announcing the End of Support for Node.js 16.x in the AWS SDK for JavaScript (v3)

The AWS SDK for JavaScript (v3) will no longer support Node.js 16.x starting January 6, 2025. Node.js 16.x reached end-of-life on September 11, 2023. It’s important to note that this announcement is specific to the AWS SDK for JavaScript (v3) and does not affect AWS Lambda, which began deprecating Node.js 16.x on June 12, 2024.

Upgrade Recommendations

To continue receiving support and updates, it is recommended to upgrade your Node.js environment to version 18.x or later. Upgrading ensures compatibility with the latest features and security patches provided by the AWS SDK for JavaScript (v3).

Business Impact

Using unsupported Node.js versions can expose your applications to security vulnerabilities and operational risks. Upgrading to a supported version helps maintain the integrity and performance of your JavaScript applications using the AWS SDK.

How KeyCore Can Help

KeyCore offers expert guidance and professional services to help you smoothly transition to supported PHP and Node.js runtimes. Our team can analyze your current environment, recommend the best upgrade path, and assist with implementation to ensure minimal disruption to your operations. Additionally, our managed services can maintain and monitor your AWS SDK environments, ensuring they remain secure and up-to-date.

Visit KeyCore to learn more about how we can support your AWS development needs.

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AWS Partner Network (APN) Blog

Aerospike Cloud: Scalable Real-time Database-as-a-Service with AWS SaaS Factory Support

Aerospike offers a real-time, high-performance database solution capable of scaling to meet the demands of low-latency workloads. Supported by AWS SaaS Factory, Aerospike Cloud enables businesses to run database-as-a-service (DBaaS) with ease. The collaboration provides comprehensive solutions to address the scalability and performance needs of modern applications. The integration with AWS simplifies deployment and management, ensuring robust data handling and real-time analytics.

Key points:

  • Low-latency, high-performance workloads
  • Scalable database-as-a-service
  • Comprehensive support from AWS SaaS Factory

Real-time Data Monitoring with AWS IoT Core and Imply Data

Imply Polaris, a managed version of Apache Druid, allows users to unlock real-time insights from IoT telemetry data. By leveraging AWS IoT Core and Imply Polaris, businesses can develop a real-time monitoring and analytics application. The blog provides a step-by-step guide to connecting devices, routing data, and visualizing insights, making it easier to manage and analyze IoT data efficiently.

Key points:

  • Real-time monitoring of IoT data
  • Step-by-step integration with AWS IoT Core
  • Visualization of IoT telemetry insights

Migrate and Modernize Cloudera On-Premises to CDP on AWS

Cloudera Data Platform (CDP) on AWS offers a hybrid data platform that manages, secures, and connects the data lifecycle. The blog discusses how to migrate and modernize Cloudera on-premises deployments to CDP on AWS. It highlights how businesses can benefit from AWS cloud infrastructure, enhancing data management and operational efficiency.

Key points:

  • Hybrid data platform with CDP on AWS
  • Migration and modernization of Cloudera deployments
  • Benefits of AWS cloud infrastructure

New MAP Incentives to Accelerate Migration and Modernization

The AWS Migration Acceleration Program (MAP) has announced new incentives to help AWS Partners accelerate customer migrations to the cloud. Since its inception in 2016, MAP has supported thousands of customers. The new updates provide more resources, responding directly to partner feedback, to better support cloud migration and modernization efforts.

Key points:

  • Enhanced MAP incentives for AWS Partners
  • Support for faster and scalable cloud migrations
  • Direct response to partner feedback

How KeyCore Can Help

KeyCore is ready to assist businesses in leveraging these AWS solutions to maximize their potential. From implementing low-latency databases with Aerospike Cloud to real-time data monitoring using AWS IoT Core and Imply Polaris, KeyCore provides expert guidance and support. Our team is also skilled in facilitating the migration and modernization of Cloudera on-premises deployments to CDP on AWS. Additionally, we can help you take full advantage of the new MAP incentives, ensuring a smooth and efficient transition to the AWS cloud. Reach out to KeyCore for expert AWS consultancy and managed services to transform your cloud operations.

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AWS Cloud Enterprise Strategy Blog

In any digital transformation, aligning the people strategy with the organization’s objectives is crucial. This alignment ensures that the talent pool is motivated and equipped to drive innovation. One notable case involves an oil company that faced challenges in its transformation journey due to an overlooked compensation model.

Identifying the Mismatch

The company’s compensation strategy was not encouraging risk-taking among employees. This reluctance to take risks was a significant roadblock in achieving transformation objectives. The existing model focused on traditional rewards, which did not inspire innovation or embrace the new digital-first approach the company aimed to adopt.

Strategic Compensation Revision

Leadership recognized the need to overhaul the compensation strategy. They revised the employee stock rewards system to better align with the organization’s transformation vision. This new model incentivized risk-taking and innovation, encouraging employees to contribute more effectively to the company’s goals.

Unlocking Innovation

With the revised compensation strategy, the oil company witnessed a significant shift in employee behavior. The new rewards model fostered a culture of innovation and risk-taking. As a result, the company made substantial progress in its digital transformation journey, aligning employee efforts with organizational aspirations.

KeyCore’s Expertise

KeyCore can help organizations align their people strategies with transformation objectives. With expertise in AWS and digital transformation, KeyCore offers tailored solutions that drive innovation and growth. KeyCore’s team of consultants can assess current strategies, recommend adjustments, and implement effective compensation models that support organizational goals.

For businesses looking to unlock their full potential, partnering with KeyCore provides access to industry-leading knowledge and AWS technology solutions. Transformative success begins with a well-aligned talent strategy, and KeyCore is here to guide organizations every step of the way.

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AWS HPC Blog

High Performance Computing (HPC) workloads can greatly benefit from the capabilities provided by AWS. With the right approach, organizations can achieve significant environmental sustainability and operational efficiency. Below, we explore two key case studies: Baker Hughes’ transition to cloud-based HPC for reduced carbon emissions and the Boliden Group’s use of AWS to simulate autonomous mining operations.

Environmental Sustainability through HPC Workloads on AWS

Many companies are looking to cut their carbon footprints without sacrificing productivity. Baker Hughes successfully migrated their HPC workloads to AWS, achieving a remarkable 99% reduction in emissions. This shift demonstrates the power of leveraging cloud solutions for both environmental sustainability and operational efficiency.

To optimize HPC workloads on AWS, organizations should focus on three areas: compute, storage, and networking. By selecting energy-efficient instances, optimizing data transfer, and leveraging efficient storage solutions, businesses can significantly reduce their environmental impact while maintaining or even enhancing their computational capabilities.

For practical tips on optimizing HPC resources, consider utilizing AWS resources such as Amazon EC2 Spot Instances for cost-effective and energy-efficient compute power, Amazon S3 for scalable and durable storage, and AWS Direct Connect for secure and fast network connections. These optimizations can help organizations align their sustainability goals with their technical requirements.

Simulating Autonomous Mining Operations with Robotec.ai on AWS

The mining industry is undergoing significant changes with the adoption of autonomous operations. The Boliden Group is at the forefront of this transformation, using AWS Batch to simulate fleets of autonomous trucks. This approach enhances both safety and efficiency in mining operations.

By leveraging AWS Batch, Boliden Group can efficiently manage and scale their computational resources, allowing for the simulation of complex scenarios involving multiple autonomous vehicles. This not only improves the safety protocols but also ensures operational efficiency by maximizing the utilization of available resources.

Robotec.ai, a crucial partner in this endeavor, provides the necessary tools and frameworks to create realistic simulations. AWS’s scalable infrastructure ensures that these simulations can be run seamlessly, providing valuable insights that help in optimizing real-world mining operations.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, can assist organizations in optimizing their HPC workloads for both sustainability and operational efficiency. With extensive expertise in AWS services, KeyCore can help design and implement tailored solutions that reduce carbon footprints while enhancing computational performance.

Whether it’s transitioning HPC workloads to the cloud, optimizing compute, storage, and networking resources, or simulating complex scenarios like autonomous mining operations, KeyCore offers the professional and managed services needed to achieve these goals. Reach out to KeyCore to discover how to leverage AWS capabilities to meet your business and environmental objectives.

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AWS Cloud Operations & Migrations Blog

Technologies such as machine learning (ML), artificial intelligence (AI), and Generative AI (GenAI) are ushering in a new era of efficient and sustainable manufacturing. These technologies empower the workforce and improve various manufacturing processes. AI can be applied in predictive maintenance, defect detection, supply chain visibility, demand forecasting, and product design, among other areas. The benefits include improving uptime, enhancing product quality, and reducing costs.

Application of AI in Manufacturing

Predictive maintenance helps in predicting equipment failures before they occur, reducing downtime and maintenance costs. Defect detection uses AI to identify defects in products early in the production process, ensuring higher product quality. Supply chain visibility is enhanced through AI, providing real-time insights into the supply chain, leading to better decision-making. Demand forecasting leverages AI to predict product demand accurately, optimizing inventory levels. AI in product design accelerates the design process and improves design efficiency.

Benefits of AI in Manufacturing

Implementing AI in manufacturing enhances operational efficiency, reduces costs, and improves product quality. It enables manufacturers to be more responsive to market demands and reduces time-to-market for new products. Additionally, AI-driven manufacturing processes are more sustainable, reducing waste and energy consumption.

Accelerate Testing with AWS Mainframe Modernization Application Testing

The modernization of mainframe applications involves extensive testing, which is time-consuming and critical. AWS Mainframe Modernization Application Testing is a cloud-native service designed to reduce testing time and costs at scale. This service provides a structured approach to testing, ensuring thorough validation of modernized applications.

Testing Approach and Benefits

AWS Mainframe Modernization Application Testing automates various testing phases, including unit testing, integration testing, and functional testing. This reduces manual effort and accelerates the testing process. The service also enables parallel testing, further reducing the overall testing duration. Additionally, it offers comprehensive test reporting and analytics, providing insights into test coverage and application performance.

Application Testing Walkthrough

The testing walkthrough demonstrates how to set up, execute, and monitor tests using AWS Mainframe Modernization Application Testing. It covers the steps to configure test environments, define test cases, and analyze test results. This ensures a smooth and efficient testing process, enabling faster time-to-market for modernized applications.

Optimize Cloud Deployments with Prioritized Trusted Advisor Recommendations

AWS Trusted Advisor Priority helps optimize cloud deployments by providing focused recommendations on resilience, security, and cost-efficiency. Enterprise Support customers gain access to prioritized recommendations curated by AWS account teams and machine-generated checks from AWS services.

Features of AWS Trusted Advisor Priority

This service offers context-driven recommendations tailored to an organization’s specific needs. These recommendations help identify and address potential issues proactively, improving overall cloud infrastructure health. Trusted Advisor Priority also integrates with operational workflows, enabling seamless implementation of recommendations.

Business Value

By leveraging AWS Trusted Advisor Priority, organizations can enhance their cloud infrastructure’s resilience, security, and cost-efficiency. This leads to better resource utilization, reduced operational risks, and optimized spending, ultimately driving business growth and innovation.

Reduce Code Duplication with Amazon CloudWatch Synthetics

Load testing is crucial for ensuring software performance before production deployment. Once in production, synthetic monitoring helps monitor application health. Amazon CloudWatch Synthetics reduces code duplication by allowing the same scripts for load testing and synthetic monitoring.

Benefits of CloudWatch Synthetics

This service enables consistent testing and monitoring using a unified set of scripts. This reduces the effort required to maintain separate scripts for load testing and synthetic monitoring. CloudWatch Synthetics also provides detailed insights into application performance, facilitating proactive issue resolution.

Implementation and Use Case

Setting up Amazon CloudWatch Synthetics involves creating canaries to simulate user interactions with the application. These canaries continuously monitor application endpoints, providing real-time performance data. This ensures that any performance issues are detected and addressed promptly, maintaining application reliability.

Use Amazon CloudWatch Contributor Insights for Apache Logs Analysis

Web application performance is a key metric for modern enterprises. Many AWS customers deploy web applications using the Apache web application server. Amazon CloudWatch Contributor Insights helps analyze Apache logs, providing valuable insights into application performance.

Analyzing Apache Logs with CloudWatch Contributor Insights

This service aggregates and analyzes log data, identifying key contributors to application performance issues. It helps monitor response times, uptime, and service level agreements (SLAs), ensuring optimal application performance. Contributor Insights also offers customizable dashboards and alerts, enabling proactive monitoring and issue resolution.

Business Impact

Using Amazon CloudWatch Contributor Insights for Apache logs analysis improves web application performance and reliability. This leads to better user experiences, higher customer satisfaction, and reduced operational costs. Organizations can also make data-driven decisions to optimize their web infrastructure.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, provides expert guidance and support for organizations looking to implement and optimize AWS services. Our professional services team can help design and implement AI and GenAI solutions for manufacturing, ensuring efficient and sustainable operations. We also offer managed services to handle the complexities of AWS Mainframe Modernization Application Testing, optimizing your testing processes and reducing costs.

Our experts can help you leverage AWS Trusted Advisor Priority to optimize your cloud deployments, enhancing resilience and security. We also provide support for Amazon CloudWatch Synthetics and Contributor Insights, helping you reduce code duplication and gain valuable insights from your application logs. With KeyCore’s expertise, you can maximize the benefits of AWS services and drive innovation in your organization.

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AWS for Industries

To plan wireless networks effectively, Communication Service Providers (CSPs) must analyze the viability of potential cell sites. This includes identifying potential facilities, obstructions, sources of interference, etc. Traditionally, capturing this information required a truck roll, which can be expensive, especially at scale. Harnessing the power of Machine Learning (ML) and computer vision to analyze site viability could save CSPs significant time and money.

Remote Communications Infrastructure Analysis

Modern technology allows CSPs to use computer vision to analyze remote communications infrastructure. Drones or static cameras can capture images of potential cell sites. ML algorithms can then process these images to identify potential obstructions, evaluate line-of-sight, and detect sources of interference. This minimizes the need for physical inspections and reduces operational costs.

Business Value

By leveraging computer vision and ML, CSPs can plan wireless networks more efficiently. Reducing the need for truck rolls cuts down on labor and transportation costs. Additionally, faster site assessments can accelerate network deployment, giving CSPs a competitive edge. This can lead to more reliable network coverage and enhanced customer satisfaction.

How KeyCore Can Help

KeyCore offers expertise in implementing ML and computer vision solutions on AWS. Our team can help CSPs develop and deploy highly reliable and scalable infrastructure analysis systems. Utilizing AWS services like Amazon Rekognition and SageMaker, we ensure that our clients achieve optimal results with minimal operational overhead.

With the rapid development of the Internet of Things (IoT), enterprises aim to efficiently integrate, configure, monitor, and manage numerous edge devices. These devices and server systems must be highly secure and reliable, as they often become targets for hackers. Regular reviews, security encryption updates, and robust authentication and authorization mechanisms are necessary to ensure safety and functionality.

Dexatek IoT Smart Devices

Dexatek offers a solution for managing IoT smart devices and backend systems. Their platform enables enterprises to integrate a wide array of edge devices seamlessly. This includes comprehensive monitoring and management functionalities, ensuring that each device operates optimally. Security is a top priority, with features like encryption and strong authentication protocols implemented to safeguard data and device integrity.

Business Value

The robust management solution from Dexatek helps enterprises streamline their IoT operations. By providing a centralized platform for device management, it reduces administrative overhead and enhances operational efficiency. Enhanced security measures also protect against potential cyber threats, thereby ensuring system reliability and data integrity. This allows businesses to focus on innovation and growth rather than worrying about infrastructure management.

How KeyCore Can Help

KeyCore can assist enterprises in deploying and managing Dexatek’s IoT solutions on AWS. Our expertise in AWS IoT services ensures that clients can leverage the full potential of their devices and backend systems. We provide end-to-end support, from initial setup to ongoing management and security maintenance, ensuring a seamless and secure IoT infrastructure.

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

Last month, AWS announced the initial services available in the AWS European Sovereign Cloud. This independent cloud is specifically designed for Europe and is set to launch by the end of 2025. The investment for this new cloud initiative amounts to €7.8 billion. This cloud aims to cater to public sector organizations in the region, providing them with robust and secure cloud solutions while complying with European data sovereignty requirements.

Key Features of AWS European Sovereign Cloud

The AWS European Sovereign Cloud will be operated and controlled by a new AWS European organization. This ensures that the data remains within Europe and complies with local regulations and standards. The cloud will offer a wide range of AWS services that are tailored to meet the needs of European customers. These services include compute, storage, database, machine learning, data analytics, and security services.

Initial Services

The initial services available in the AWS European Sovereign Cloud include:

  • Amazon EC2: Provides scalable computing capacity in the cloud.
  • Amazon S3: Offers object storage with industry-leading scalability, data availability, security, and performance.
  • Amazon RDS: Simplifies setting up, operating, and scaling a relational database in the cloud.
  • AWS Lambda: Allows users to run code without provisioning or managing servers.
  • AWS IAM: Manages access to AWS services and resources securely.
  • AWS CloudTrail: Enables governance, compliance, and operational and risk auditing of AWS accounts.

Compliance and Security

One of the primary goals of the AWS European Sovereign Cloud is to ensure compliance with European regulations and standards. This is critical for public sector organizations, which need to adhere to strict data protection laws. AWS will provide a comprehensive suite of compliance and security features, ensuring that customer data is protected and meets all regulatory requirements.

Business Impact

The AWS European Sovereign Cloud will have a significant impact on public sector organizations in Europe. By providing a secure, compliant, and powerful cloud infrastructure, these organizations can focus on their core missions without worrying about data sovereignty issues. This new cloud will also drive innovation and efficiency, allowing public sector entities to leverage the latest technological advancements to better serve their communities.

How KeyCore Can Help

KeyCore is well-equipped to assist organizations in navigating the complexities of the AWS European Sovereign Cloud. With deep expertise in AWS services and compliance, KeyCore can help public sector organizations design, implement, and manage their cloud infrastructure. This ensures that they fully leverage the benefits of the AWS European Sovereign Cloud while staying compliant with all relevant regulations.

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Front-End Web & Mobile

In the high-paced world of motorsports, data transmission must be as swift as the cars themselves. The International Motor Sports Association (IMSA) faces this challenge head-on by delivering real-time telemetry for fans to monitor during races, such as the Rolex 24 Hours of Daytona.

Real-Time Telemetry

IMSA uses advanced telemetry systems to provide live data from the ten GTP (Grand Touring Prototype) cars competing in the race. This data includes speed, engine performance, fuel levels, and other critical metrics. The information is captured and transmitted in real-time, allowing fans to experience the race from a new perspective.

Technology Behind the Scenes

To achieve this, IMSA employs a combination of sensors, data loggers, and wireless communication technologies. These components work together seamlessly to collect and relay data from the cars to a central server. The server processes the data and makes it available to fans through a web interface, ensuring that the information is both accurate and up-to-date.

Benefits for Fans

Providing real-time telemetry enhances the fan experience by offering a deeper understanding of the race dynamics. Fans can track their favorite cars, compare performances, and gain insights into the strategies employed by teams and drivers. This level of engagement brings fans closer to the action and fosters a more interactive and immersive viewing experience.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, can assist organizations like IMSA in leveraging AWS services to build robust and scalable telemetry solutions. By utilizing AWS managed services such as AWS IoT Core, Amazon Kinesis, and Amazon RDS, KeyCore can design and implement end-to-end telemetry systems that ensure real-time data delivery with high reliability and low latency.

For more information on how KeyCore can help your organization harness the power of real-time data, visit our website.

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Innovating in the Public Sector

Managing access to websites and safeguarding users from harmful content is a critical component of a layered cybersecurity approach, especially in educational settings. Schools and institutions of higher learning have a responsibility to provide a secure online experience for their students and staff. Traditionally, this has been accomplished through on-site web filtering appliances. Amazon Web Services (AWS) Network Firewall allows customers to filter their outbound web traffic from on-premises environments based on fully qualified domain names (FQDN) or Server Name Indication (SNI) for encrypted traffic. This post will use AWS Client VPN to demonstrate routing and filtering traffic from external resources through Network Firewall.

Web Filtering in Educational Institutions

For educational institutions, web filtering is crucial to ensure students and staff are protected from harmful online content. Traditionally, schools used on-site web filtering appliances to manage this. However, AWS Network Firewall provides a modern solution that allows institutions to filter outbound web traffic based on FQDN or SNI, even for encrypted traffic.

Using AWS Client VPN

AWS Client VPN can be utilized to route and filter traffic from external resources through AWS Network Firewall. This integration ensures a comprehensive and secure online experience, safeguarding users from potential threats while maintaining the flexibility and scalability of a cloud-based solution.

Educational organizations, including Kaplan, McGraw Hill, New York University (NYU), and Coursera, have turned to CreatorUp to meet the rising demand for online learning. CreatorUp combines an innovative mix of human-powered creatives and generative artificial intelligence (AI) provided by Amazon Web Services (AWS) to help organizations quickly scale their digital content production.

Scaling Digital Content Development

With the growing need for online learning, educational organizations are looking for efficient ways to develop digital content. CreatorUp partners with AWS to leverage AI tools that significantly enhance the speed and quality of content production.

Combining Human Creativity and AI

CreatorUp’s approach integrates human creativity with AWS’s generative AI tools. This combination allows educational institutions to produce high-quality content at scale, meeting the growing demands of online learners efficiently.

How KeyCore Can Help

KeyCore, the leading Danish AWS Consultancy, offers expertise in implementing AWS solutions tailored to educational institutions. Whether institutions need robust web filtering using AWS Network Firewall or wish to scale content development with AWS AI tools, KeyCore provides comprehensive support from planning to execution. Our professional services ensure that clients achieve secure, scalable, and efficient solutions, while our managed services offer ongoing support and optimization. Contact KeyCore to explore how AWS technologies can enhance educational operations.

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