Summary of AWS blogs for the week of monday Mon Aug 19

In the week of Mon Aug 19 2024 AWS published 72 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Citrix has announced the general availability (GA) of Citrix DaaS on Amazon WorkSpaces Core. This marks the transition from the public tech preview phase, allowing users to extend their on-premises Citrix virtual desktop infrastructure (VDI) to the scalable AWS Cloud. This extension helps in reducing costs, enhancing security, and optimizing user productivity.

Cost Efficiency and Scalability

By integrating Citrix DaaS with Amazon WorkSpaces Core, organizations can take advantage of AWS’s scalable infrastructure. This move can significantly reduce the operational costs associated with maintaining an on-premises VDI environment. The pay-as-you-go pricing model offered by AWS ensures that companies only pay for the resources they actually use, further optimizing their budget.

Enhanced Security

Citrix DaaS on Amazon WorkSpaces Core provides robust security measures that are built into the AWS infrastructure. These include encryption, secure access controls, and compliance with various industry standards. By leveraging AWS’s security capabilities, organizations can ensure that their virtual desktops are protected against unauthorized access and data breaches.

Optimized User Productivity

The integration of Citrix DaaS with AWS allows for a more seamless and efficient user experience. Employees can access their virtual desktops from anywhere, at any time, without compromising on performance. This flexibility enhances productivity, as users can work remotely or from different locations without facing latency issues.

KeyCore’s Expertise

KeyCore can help organizations maximize the benefits of Citrix DaaS on Amazon WorkSpaces Core. With extensive expertise in AWS and desktop virtualization, KeyCore offers professional and managed services to deploy, manage, and optimize Citrix DaaS environments. From initial setup to ongoing support, KeyCore ensures that your virtual desktop infrastructure is secure, cost-effective, and performant.

Learn more about how KeyCore can assist with your Citrix DaaS on Amazon WorkSpaces Core deployment by visiting KeyCore’s website.

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AWS DevOps & Developer Productivity Blog

Publish Packages to AWS CodeArtifact using Amazon CodeCatalyst Actions

Amazon CodeCatalyst is a unified software development service designed to help development teams build, deliver, and scale applications on AWS. It adheres to organization-specific best practices. Developers can automate development tasks and innovate faster with generative AI capabilities. This reduces the time spent setting up project tools, managing CI/CD pipelines, and provisioning and configuring various development environments.

With Amazon CodeCatalyst Actions, developers can easily publish packages to AWS CodeArtifact. This integration streamlines the software development lifecycle, allowing teams to focus more on coding and less on managing infrastructure. By leveraging CodeCatalyst, teams can maintain high standards in software delivery and ensure consistency across development projects. For more information, refer to the AWS CodeArtifact documentation.

Best Practices for Working with Pull Requests in Amazon CodeCatalyst

According to the Well-Architected DevOps Guidance, a peer review process for code changes ensures code quality and shared responsibility. It is essential in a DevOps environment that every change is reviewed and approved by at least one other person before merging.

Development teams can implement this peer review process efficiently using Amazon CodeCatalyst. This not only enhances code quality but also promotes collaboration and knowledge sharing among team members. CodeCatalyst provides tools and workflows that make managing pull requests simple and effective. For a deeper dive into these best practices, check out the Amazon CodeCatalyst documentation.

Accessing Amazon Q Developer using Microsoft Entra ID and VS Code to Accelerate Development

Integrating Microsoft Entra ID with Visual Studio Code to access Amazon Q Developer service speeds up the development process. This setup reduces time spent on repetitive tasks and allows quick integration of users from external identity sources.

By leveraging this integration, developers can streamline their workflows and enhance productivity. Amazon Q Developer provides tools and services that support rapid development and testing of new features. For more detailed instructions on this integration, refer to the Amazon Q Developer documentation.

How A/B Testing and Multi-Model Hosting Accelerate Generative AI Feature Development in Amazon Q

In the evolving landscape of Generative AI, quick and reliable deployment and iteration on features are critical. The Amazon Q Developer service team employs A/B testing and multi-model hosting to accelerate feature development.

These methods help evaluate model performance on datasets and roll out features based on positive results. This approach ensures that only well-tested and reliable features reach production, enhancing the overall quality and performance of AI applications. For more on these techniques, visit the Amazon Q Developer documentation.

Use AWS CloudFormation Git Sync to Configure Resources in Customer Accounts

AWS partners often need to create resources in their customers’ accounts. AWS CloudFormation is a reliable service for consistently provisioning these resources. It allows you to specify your architecture in a template file written in JSON or YAML.

With CloudFormation Git sync, you can automatically keep your resources updated and consistent across multiple accounts. This feature simplifies resource management and ensures that changes are propagated efficiently. For more details, check the AWS CloudFormation documentation.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, specializes in both professional and managed services. Our team of AWS experts can help integrate Amazon CodeCatalyst Actions, implement best practices for pull requests, and streamline access to Amazon Q Developer service.

We also offer expertise in setting up A/B testing and multi-model hosting for generative AI, as well as configuring resources through CloudFormation Git sync. By leveraging our experience, organizations can enhance their development productivity, maintain high code quality, and efficiently manage resources. Contact KeyCore today to learn how we can optimize your AWS environment.

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Official Machine Learning Blog of Amazon Web Services

Amazon Q Business: Secure Enterprise Generative AI with IAM Federation

Amazon Q Business is a conversational assistant that uses generative AI to boost workforce productivity by handling tasks and answering questions based on information from enterprise systems. These systems ensure that each user only accesses authorized data. For organizations not using AWS IAM Identity Center, Amazon Q Business offers IAM Federation. This feature allows direct management of user access to applications via enterprise identity providers like Okta or Ping Identity, bypassing the need for IAM Identity Center. Detailed guidance on setting up Amazon Q Business IAM Federation can be found here.

Verisk’s Discovery Navigator: Generative AI for Medical Record Review

Verisk’s Discovery Navigator leverages generative AI to automate medical record reviews. This innovation quickly summarizes initial injuries and current medical statuses, helping reviewers of all skill levels assess injury severity efficiently. The automated summary feature, powered by generative AI, offers a transformative approach for medical record review by providing instant insights with just a click.

Amazon Q Confluence Cloud Connector: Indexing Made Easy

The Amazon Q Business Confluence Cloud connector simplifies the integration of generative AI assistance in Confluence Cloud. This tool provides seamless AI-driven support for indexing Confluence contents, enhancing productivity and collaboration within teams by offering intelligent search and retrieval capabilities.

Snowflake Arctic Models on SageMaker JumpStart

Snowflake Arctic Instruct models are now accessible through Amazon SageMaker JumpStart. These models can be easily deployed and used for inference tasks. This post guides users on discovering and deploying the Snowflake Arctic Instruct model with SageMaker JumpStart, and includes example use cases with specific prompts.

Fine-Tuning Generative AI with SageMaker Pipeline Decorators

Amazon SageMaker Pipelines now supports Python code conversion for fine-tuning generative AI models in Amazon Bedrock. This reusable workflow simplifies the fine-tuning process, making it more efficient and scalable. Detailed instructions and examples for using SageMaker Pipelines decorators are provided, helping users streamline their AI development workflows.

Batch Inference for Call Center Efficiency with Amazon Bedrock

Amazon Bedrock now supports batch inference, enabling efficient processing of large data volumes. This feature is particularly beneficial for industries like call centers, where large amounts of transcript data need to be summarized quickly. The post demonstrates batch inference capabilities using call center transcript summarization as an example, showcasing how this feature can enhance operational efficiency.

Fine-Tuning Meta Llama 3.1 Models on Amazon SageMaker JumpStart

Meta Llama 3.1 models, available in various sizes, can be fine-tuned using Amazon SageMaker JumpStart. These models represent significant advancements in generative AI and can be customized to suit diverse project needs. The post explains how to fine-tune Meta Llama 3.1 pre-trained models for text generation using SageMaker JumpStart, offering a step-by-step guide for developers.

Analyzing Customer Reviews with Amazon Bedrock

Large language models (LLMs) on Amazon Bedrock enable automated customer review analysis. These models summarize key information, recognize sentiment, and generate actionable insights, streamlining the review process for human analysts. The post discusses the benefits, limitations, and future opportunities of using LLMs for customer review summarization.

Accuracy Evaluation Framework for Amazon Q Business

Generative AI, particularly Retrieval Augmented Generation (RAG) solutions, is rapidly transforming enterprise operations. RAG models combine information retrieval and natural language generation for accurate and informative outputs. This post highlights the potential of RAG models in automating customer interactions and optimizing backend processes.

Enhancing Healthcare with Amazon Bedrock and Amazon Transcribe

A significant portion of physicians’ workday is spent on documentation, affecting productivity and patient care. Using Amazon Bedrock and Amazon Transcribe, healthcare providers can leverage conversational intelligence solutions to automate documentation, reducing time spent on EHRs and enhancing overall efficiency.

Data Governance and No-Code Machine Learning with SageMaker Canvas and DataZone

Amazon DataZone facilitates efficient data management by allowing easy cataloging, discovery, sharing, and governance of data across various sources. Combined with Amazon SageMaker Canvas, it offers no-code machine learning solutions that empower users to manage data and build models without extensive coding.

Custom Chunking Mechanism with Amazon Bedrock

Accenture’s custom chunking mechanism, developed using Amazon Bedrock, enhances Retrieval Augmented Generation (RAG) performance. This custom logic optimizes data processing workflows, unlocking the full potential of PDF data and improving overall system efficiency.

Migrating Data Wrangler Flows to SageMaker Canvas

This post demonstrates the migration of SageMaker Data Wrangler flows to SageMaker Canvas, streamlining data preparation processes. The guide provides step-by-step instructions for moving files from SageMaker Studio Classic to Amazon S3 and then importing them into SageMaker Canvas.

Enhancing Security with IP-Restricted Presigned URLs in SageMaker Ground Truth

To improve security in SageMaker Ground Truth, IP-restricted presigned URLs are now available. These URLs restrict access based on the worker’s IP address or VPC endpoint, preventing unintended access and enhancing data security during labeling tasks.

Querying Structured Data with Amazon Q Business

Amazon Q Business enables querying of structured data by generating SQL queries based on provided database schemas and metadata. This architecture supports diverse data sources and extends to various use cases, making it a powerful tool for businesses to extract insights from their data.

Cohere Rerank 3 Nimble on SageMaker JumpStart

The Cohere Rerank 3 Nimble model is now available on Amazon SageMaker JumpStart. This foundation model enhances enterprise search and Retrieval Augmented Generation (RAG) systems. The post discusses the model’s capabilities and examples, highlighting its benefits for enterprise applications.

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Announcements, Updates, and Launches

The new AWS Asia Pacific (Malaysia) Region is now open, significantly enhancing cloud innovation within the region. This new addition allows local businesses and government agencies to leverage AWS’s robust infrastructure to drive digital transformation. Notably, AWS has committed to renewable energy initiatives in Malaysia, aligning with the country’s sustainability goals.

AWS CodeBuild now supports macOS, making it easier to integrate Apple apps into your CI/CD pipelines. This new feature utilizes managed M2 machines, equipped with pre-installed tools like Xcode, to streamline the build and testing process. Additionally, CodeBuild can automatically scale capacity, effectively managing the fleet to meet varying demands.

G6e Instances

The introduction of G6e instances enhances the performance of various applications, providing better compute power and efficiency.

Karpenter

Karpenter, the new Kubernetes cluster autoscaler, ensures seamless scaling and resource optimization, improving infrastructure management.

Amazon Prime Day Metrics

The metrics for Amazon Prime Day reveal the massive scale AWS handles. Detailed insights from Channy Yun and Jeff Barr highlight how AWS supports this global event, showcasing impressive performance and scalability.

AWS Certifications Update

Recent updates to AWS Certifications provide professionals with the latest skills and knowledge to stay ahead in the cloud industry.

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Containers

WebAssembly (Wasm) is a revolutionary technology that brings near-native performance to web applications. However, Wasm’s potential extends far beyond web browsers. It enables developers to run Wasm workloads in various environments, including cloud-native platforms like Amazon Elastic Kubernetes Service (Amazon EKS). This article explores how AWS empowers users to harness the benefits of Wasm on Amazon EKS, enhancing performance and flexibility for modern applications.

Introduction to WebAssembly

WebAssembly is a binary instruction format designed for stack-based virtual machines, allowing code to run at near-native speed across various platforms. Initially developed for web browsers, Wasm’s efficiency and performance have led to its adoption in other areas, including server-side and cloud environments.

Why Use WebAssembly on Amazon EKS?

Amazon EKS is a fully managed Kubernetes service that simplifies deploying, managing, and scaling containerized applications. By running Wasm on Amazon EKS, developers can leverage Kubernetes’ orchestration capabilities, ensuring efficient resource utilization and high availability. Additionally, Wasm modules are lightweight and secure, making them ideal for microservices and serverless computing.

Setting Up WebAssembly on Amazon EKS

To run Wasm on Amazon EKS, follow these steps:

  1. Install the necessary tools and dependencies, including kubectl, eksctl, and wasm runtime such as Wasmtime.
  2. Create an EKS cluster using eksctl.
  3. Deploy the Wasm runtime to the EKS cluster.
  4. Package your application as a Wasm module and create a Kubernetes deployment for it.
  5. Expose the Wasm application using a Kubernetes service.

For detailed instructions, refer to the AWS EKS documentation and the Wasmtime documentation.

KeyCore’s Expertise

KeyCore can assist in integrating WebAssembly with Amazon EKS, ensuring optimal performance and security. As the leading Danish AWS Consultancy, KeyCore offers both professional and managed services to help businesses leverage advanced AWS technologies. Contact KeyCore to streamline your containerization strategy and enhance your application’s capabilities with WebAssembly.

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Official Database Blog of Amazon Web Services

Optimizing Costs on Amazon DocumentDB Using Event-Driven Architecture and AWS EventBridge Terraform Module

One primary reason for companies to migrate their workloads to AWS is the cost efficiency. AWS allows businesses to acquire technology on an as-needed basis, where they only pay for the resources used. This model supports cloud migration and application modernization based on business needs, without the constraints of agreements or licensing.

Utilizing event-driven architecture with Amazon DocumentDB can further optimize costs. By leveraging the AWS EventBridge Terraform module, businesses can create scalable, modern applications while maintaining cost efficiency. Amazon DocumentDB’s event-driven model ensures that resources are dynamically allocated based on real-time demand, reducing unnecessary expenditure. This approach aligns resource usage with actual business requirements.

Build Multi-Tenant Architectures on Amazon Neptune

Operating Amazon Neptune in a multi-tenant Software as a Service (SaaS) environment presents unique challenges and opportunities. This post explores strategies for building and managing multi-tenant architectures on Amazon Neptune, highlighting various approaches depending on tenant needs. Key considerations include data isolation, performance, security, and scalability.

By implementing robust multi-tenancy strategies, businesses can efficiently manage multiple tenants within a single Neptune instance, ensuring data integrity and performance optimization. Specific techniques, such as tenant-based partitioning and schema-based multi-tenancy, are discussed to provide a comprehensive framework for effective tenant management.

Build a Custom HTTP Client in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL: An Alternative to Oracle’s UTL_HTTP

Customers migrating from Oracle databases to Amazon Aurora PostgreSQL-Compatible Edition or Amazon RDS for PostgreSQL often use the Oracle UTL_HTTP package to communicate with web servers and third-party APIs via PL/SQL programs. PostgreSQL does not have a direct equivalent to UTL_HTTP, necessitating a custom conversion of SQL code.

This post outlines how to build a custom HTTP client in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL. By leveraging PostgreSQL’s capabilities, users can create an efficient and robust HTTP client, enabling seamless integration with web services and APIs. This guide provides step-by-step instructions to facilitate a smooth transition from Oracle to PostgreSQL.

Validate Database Object Consistency After Migrating from IBM Db2 z/OS to Amazon RDS for Db2

Migrating from IBM Db2 z/OS to Amazon RDS for Db2 requires careful planning and validation to ensure database object consistency. This post delves into best practices for ensuring that database objects are accurately migrated and validated post-migration.

The validation process involves a series of checks and balances to confirm that the database objects in RDS for Db2 match those from the original IBM Db2 z/OS environment. Key steps include schema comparison, data validation, and performance testing. By following these best practices, businesses can ensure a seamless and accurate migration, maintaining data integrity and performance.

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AWS for Games Blog

Amazon GameLift is designed to host multiplayer game sessions close to players to minimize latency. It supports 24 Regions and nine Local Zones worldwide, with plans for more. This enables centralized management of a global game server fleet, ensuring a consistent, low-latency gaming experience.

Global Reach

Amazon GameLift covers 24 Regions and nine Local Zones. This extensive coverage ensures that game servers are physically close to players, reducing latency and enhancing the gaming experience. The ongoing addition of more Regions and Local Zones signifies a commitment to improving global reach and performance.

Centralized Management

With Amazon GameLift, managing a global game server fleet becomes straightforward. A single home can centrally manage servers scattered across various geographical locations. This simplifies operations, reduces costs, and improves overall game performance.

KeyCore Can Help

KeyCore offers expertise in maximizing the benefits of Amazon GameLift. From initial setup to ongoing management, KeyCore ensures optimal server performance and low-latency experiences for players around the world.

Digital conversations, especially in gaming, can quickly turn toxic. Modulate addresses this issue with its ToxMod voice chat moderation tool. ToxMod uses AI and ML to monitor and flag problematic behavior in real-time, promoting a safer and more enjoyable environment for all users.

Advanced AI and ML

ToxMod leverages advanced AI and ML technologies to analyze voice conversations. This real-time monitoring capability quickly identifies and addresses toxic behavior, enhancing user safety and experience.

Broad Application

While ToxMod is essential for in-game chats, its utility extends to other domains like gig economy apps and social media. Modulate’s solution is versatile, addressing toxicity in various digital interactions.

KeyCore Can Help

KeyCore helps integrate ToxMod into existing systems, ensuring seamless operation and optimal performance. By leveraging KeyCore’s expertise, organizations can enhance their user safety measures and foster a healthier digital environment.

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Microsoft Workloads on AWS

In the blog post titled “Leverage a one-way trust with Amazon WorkSpaces for cross-domain usage,” the setup of a resource domain configuration for Amazon WorkSpaces using a one-way trust in Microsoft Active Directory is discussed. This configuration enables the deployment of Amazon WorkSpaces compute resources in one domain while leveraging users from a trusted domain to log onto the Workspace.

Understanding One-Way Trust

A one-way trust allows a domain to trust another while not reciprocally granting the same level of access. In the context of Amazon WorkSpaces, this means that the resource domain hosting the Amazon WorkSpaces can trust another domain, granting its users access to the WorkSpaces.

Implementing the Configuration

To implement this, first, set up your Amazon WorkSpaces in the resource domain. Then, establish a one-way trust relationship with your user domain. You will need administrative access to configure the trust settings in both Microsoft Active Directory and AWS Directory Service. Detailed instructions on configuring these settings can be found in the AWS documentation.

Benefits

This setup allows organizations to centralize their user management in a single Active Directory, simplifying user administration and enhancing security. It helps to streamline access control and ensures that policies applied in the trusted domain are seamlessly extended to the resource domain.

How KeyCore Can Help

KeyCore, as a leading AWS Consultancy, offers extensive experience in deploying and managing Amazon WorkSpaces with Microsoft Active Directory integrations. KeyCore can assist in setting up the one-way trust, ensuring seamless cross-domain access, and providing ongoing management and support to optimize your WorkSpaces deployment.

For more details on how KeyCore can help with your AWS and Microsoft Workloads integration, visit our website.

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Official Big Data Blog of Amazon Web Services

Kaplan’s Modern Data Pipelines with Amazon MWAA and Amazon AppFlow

Kaplan, Inc. uses a sophisticated data integration process to enhance its educational services. Their data engineering team has integrated Salesforce with Amazon Redshift, leveraging AWS services to streamline data flow. The architecture includes Amazon S3 as a data lake, Amazon Redshift as the data warehouse, and Amazon MWAA for orchestrating workflows. Tableau is used as the visualization tool for the data.

### Data Flow Architecture
The integration starts with data extraction from Salesforce using Amazon AppFlow. This data is then stored in Amazon S3. Amazon MWAA orchestrates the data transfer from S3 to Amazon Redshift, where it is processed and analyzed. Finally, Tableau visualizes the data, providing actionable insights.

Optimize Cost and Performance with Amazon MWAA

Amazon MWAA simplifies the management of Apache Airflow workflows, enabling efficient orchestration of data pipelines. To optimize cost and performance, consider best practices such as selecting the appropriate instance types and using auto-scaling features. Amazon MWAA allows you to design Directed Acyclic Graphs (DAGs) without the overhead of managing the infrastructure.

### Best Practices
– Choose the right instance type based on workload requirements.
– Utilize auto-scaling to adjust resources dynamically.
– Monitor and fine-tune DAGs to ensure optimal performance.

Amazon Redshift Serverless AI-driven Scaling

Amazon Redshift Serverless offers AI-driven scaling and optimization to enhance query performance and manage costs. Traditional scaling methods rely on query queue times, but AI-driven scaling considers query complexity and data volume, providing a more efficient solution.

### AI-driven Optimization
AI algorithms analyze workload patterns and automatically adjust compute resources. This approach helps balance performance and cost, ensuring that resources are allocated based on precise needs rather than static thresholds.

Reducing Logging Expenses with Amazon OpenSearch Service

Logging can be costly, especially with long-term storage. Amazon OpenSearch Service provides features that significantly reduce these expenses. Innovations in data storage and management have enabled cost reductions of up to 4,800% for long-term log storage.

### Cost-saving Features
– Use UltraWarm storage for infrequently accessed data.
– Implement Index State Management policies to automate lifecycle management.
– Archive old logs to Amazon S3 for cost-effective long-term storage.

Scalable Analytics with AWS Glue and Snowflake

Integrating diverse data sources like Snowflake, Amazon S3, and SaaS applications is crucial for comprehensive analytics. AWS Glue offers a secure connectivity pattern to facilitate this integration, enabling seamless data movement across platforms.

### Secure Connectivity
AWS Glue securely connects to Snowflake, allowing for efficient data read and write operations. This connectivity supports scalable analytics, helping organizations derive valuable insights from their data ecosystems.

Embedding Amazon OpenSearch Dashboards

Amazon OpenSearch Service is widely used for log analytics, real-time monitoring, and data visualization. Embedding OpenSearch Dashboards into applications can enhance data accessibility and user engagement.

### Integration Benefits
Embedding dashboards allows users to access real-time insights directly within their applications. This integration supports interactive data exploration and improves decision-making processes.

### How KeyCore Can Help
KeyCore offers expertise in implementing and optimizing AWS solutions. Our team can assist in setting up modern data pipelines, optimizing Amazon MWAA workflows, leveraging AI-driven scaling for Amazon Redshift, reducing logging costs with Amazon OpenSearch, integrating AWS Glue with Snowflake, and embedding OpenSearch Dashboards. Contact us to enhance your AWS infrastructure and drive your business forward.

For more detailed guidance, visit [KeyCore](https://www.keycore.dk).

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Networking & Content Delivery

Large enterprises often centralize their networking teams to handle DNS settings across multiple accounts and VPCs. Amazon Route 53 Profiles offers a streamlined way to manage DNS configurations across these environments. Previously, users had to manually associate Private Hosted Zones (PHZ) and Route 53 configurations for each VPC, which was time-consuming and error-prone.

Introduction to Amazon Route 53 Profiles

Amazon Route 53 Profiles simplifies the management of DNS settings in a multi-account, multi-VPC setup. It centralizes the DNS configuration process, reducing the need for repetitive tasks. This feature is especially valuable for enterprises that maintain a complex network structure with various accounts and VPCs.

Benefits of Using Route 53 Profiles

Route 53 Profiles bring several advantages:

  • Centralized Management: DNS configurations can be managed from a single location.
  • Consistency: Ensures uniform DNS settings across all VPCs and accounts.
  • Efficiency: Reduces manual tasks and associated errors.

How KeyCore Can Assist

KeyCore can help enterprises transition to using Amazon Route 53 Profiles. Our expertise in AWS Networking and Content Delivery ensures a smooth migration, minimizing downtime and disruptions. We offer both professional services to design and implement the migration and managed services for ongoing management and support.

With KeyCore’s assistance, enterprises can leverage the full capabilities of Amazon Route 53 Profiles, ensuring efficient and effective DNS management. Our team provides tailored solutions to meet the specific needs of each client, optimizing their AWS environment for performance and reliability.

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AWS Compute Blog

AWS Lambda has introduced new recursive loop detection APIs, providing developers with the ability to configure recursive loop detection on individual Lambda functions. These APIs allow users to turn off recursive loop detection for functions that are intentionally designed to use recursion. This new feature enhances Lambda’s flexibility and helps ensure that only unwanted recursive loops are flagged, improving the reliability and performance of serverless applications.

Recursive Loop Detection Configuration

This feature enables developers to set specific configurations for each Lambda function. By using the new APIs, you can choose to disable recursive loop detection for functions where recursion is a necessary part of the logic. This level of control ensures that legitimate recursive processes are not interrupted, while still protecting against unintended infinite loops.

Business Value

The introduction of recursive loop detection APIs brings significant business value. Companies can now have more confidence in deploying serverless applications that rely on recursion. This feature reduces the risk of performance issues and downtime caused by unintended infinite loops. It also streamlines the development process by allowing developers to focus on building core functionality without worrying about recursion-related disruptions.

How KeyCore Can Help

KeyCore, as the leading Danish AWS Consultancy, can assist businesses in implementing these new recursive loop detection APIs in their AWS Lambda functions. Our professional services include detailed assessments of your serverless architecture, ensuring that recursive loop detection is configured correctly and efficiently. Additionally, our managed services can provide ongoing monitoring and support to maintain optimal performance of your serverless applications.

By leveraging KeyCore’s expertise, businesses can maximize the benefits of AWS Lambda’s new recursive loop detection APIs. Whether you need help with initial setup, troubleshooting, or continuous optimization, KeyCore is here to support your serverless journey and ensure your applications run smoothly and effectively.

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AWS for M&E Blog

Tile Rendering with AWS Deadline Cloud

Rendering large images for outdoor advertising or high-resolution entertainment can be resource-intensive. Tile rendering is an effective workflow that divides large images into smaller, evenly sized regions. These regions, or tiles, are then rendered in parallel. This approach reduces memory usage and speeds up rendering time. AWS Deadline Cloud facilitates this process by efficiently managing render resources.

Tile rendering minimizes the memory footprint required for rendering large images. By splitting images into manageable tiles, AWS Deadline Cloud optimizes resource usage and ensures high-quality outputs quickly. This is particularly beneficial for industries requiring large-scale rendering, such as outdoor advertising and high-resolution entertainment sectors.

Using AWS Deadline Cloud, users can automate and streamline the tile rendering process. This results in significant time and cost savings, allowing creative professionals to focus on enhancing visual content instead of managing rendering resources.

Constructing a Live Video Streaming Workflow with AWS

Creating an immersive viewing experience like the NASA Artemis I launch involves sophisticated live video streaming workflows. AWS Media Services offer robust solutions for live video transport, transcoding, and origination. Futuralis and Felix & Paul Studios leveraged these services for a seamless live video streaming experience.

Live Video Transport

Live video transport is the initial step in the streaming workflow. AWS Media Services provide reliable and scalable solutions for capturing and transmitting live video feeds. These services ensure that video content is delivered efficiently and with minimal latency.

Transcoding

Transcoding is essential for converting video content into multiple formats and resolutions. AWS Media Services facilitate this process, ensuring that video streams are compatible with a wide range of devices and network conditions. This adaptability enhances the viewing experience for audiences worldwide.

Origination

The final step is video origination, which involves delivering the video content to viewers. AWS Media Services offer tools for content delivery, enabling high-quality streaming experiences. These services ensure that live video streams reach audiences seamlessly, regardless of scale or location.

KeyCore’s Expertise

KeyCore, the leading Danish AWS consultancy, can help implement these advanced AWS solutions. Our expertise in AWS services ensures optimized tile rendering workflows and efficient live video streaming setups. By partnering with KeyCore, businesses can leverage AWS technologies to enhance their media and entertainment projects. Visit KeyCore for more information on our professional and managed services for AWS.

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Integration & Automation

With the increasing need for real-time security event management and collaboration, integrating AWS Chatbot with Amazon Q can help organizations streamline communication and response times. This article delves into the process of setting up notifications from AWS Security Hub to popular chat platforms like Slack, Microsoft Teams, and Amazon Chime, using AWS Chatbot and Amazon Q.

Real-Time Notifications

AWS Security Hub aggregates and prioritizes security findings from different AWS services. By integrating AWS Chatbot, real-time notifications about these findings can be sent directly to Slack, Teams, or Chime channels. This ensures that the relevant teams are immediately aware of potential security issues as they arise.

Setting Up AWS Chatbot

To initiate this integration, start by configuring AWS Chatbot with the necessary chat platform. AWS Chatbot can be set up using the AWS Management Console. During this process, select the appropriate chat client (Slack, Teams, or Chime) and configure the permissions needed for AWS Chatbot to send messages to your channels.

Integrating Amazon Q for Querying

Amazon Q is a tool that allows users to query and retrieve data in natural language. When integrated with AWS Chatbot, it provides an interactive way to query security events directly from your chat application. For example, team members can ask Amazon Q for details about a specific security alert and get the information they need without leaving their chat application.

Business Value

This integration helps organizations enhance their security incident response by reducing the time it takes to detect, report, and respond to security events. By having real-time notifications and the ability to query security data directly in the chat applications, teams can collaborate more effectively and make informed decisions quickly.

How KeyCore Can Help

KeyCore specializes in AWS solutions and can assist organizations in setting up and optimizing this integration. Our team of experts can help configure AWS Chatbot and Amazon Q to ensure seamless communication and enhanced security event management. Whether it’s initial setup, customization, or ongoing support, KeyCore offers the expertise needed to maximize the benefits of AWS tools.

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AWS Storage Blog

Enterprises today are increasingly aware of the importance of securing their data stored on Amazon S3. Two essential strategies to accomplish this include automatically scanning for public Amazon S3 buckets and enforcing prefix-level encryption keys in a multi-tenant environment.

Automatically Scan for Public Amazon S3 Buckets and Block Public Access

Data is a valuable asset for any organization, and protecting it from unauthorized access is a high priority. Although some use cases necessitate public access to data, most enterprise scenarios and data privacy concerns require tightly controlled permissions. Amazon S3 offers robust tools to help enterprises manage and protect their data by automatically scanning for publicly accessible S3 buckets and blocking public access where necessary.

Public Amazon S3 buckets can inadvertently expose sensitive data, leading to security breaches and compliance violations. AWS provides tools to scan S3 buckets for public exposure and enforce policies to block unauthorized public access automatically. These tools help in maintaining data privacy and ensuring that only authorized users have access to sensitive information.

For example, enterprises can use AWS Config to continuously monitor the configuration of their S3 buckets. By setting up rules in AWS Config, they can automatically detect when a bucket becomes publicly accessible and trigger remediation actions to block public access. Additionally, AWS Identity and Access Management (IAM) enables organizations to define policies that prevent unauthorized public access to S3 buckets.

Secure Data in a Multi-Tenant Environment by Enforcing Prefix-Level Encryption Keys in Amazon S3

In a multi-tenant environment, it is crucial to ensure that each tenant’s data is securely isolated and accessible only to authorized users. Enforcing prefix-level encryption keys in Amazon S3 is an effective strategy to achieve this. This approach involves encrypting data at the prefix level, ensuring that only users with the appropriate decryption keys can access the data.

Organizations can utilize AWS Key Management Service (KMS) to manage and deploy encryption keys at the prefix level in S3. By doing so, they can enforce strict access controls and ensure that each tenant’s data remains secure and isolated from others. This method also simplifies key management and enhances data security in a multi-tenant setup.

For instance, an organization can configure S3 bucket policies to use specific KMS keys for different prefixes. This way, data belonging to different tenants can be encrypted with different keys, ensuring that only users with the correct keys can access the respective data. Additionally, AWS KMS provides audit logs that help organizations track key usage and monitor access to encrypted data.

How KeyCore Can Help

KeyCore, the leading AWS consultancy in Denmark, specializes in helping organizations implement robust data security measures on AWS. Our team of experts can assist in setting up automated scans for public S3 buckets and configuring prefix-level encryption keys in a multi-tenant environment. By leveraging our expertise, organizations can enhance their data security, ensure compliance with data privacy regulations, and protect their valuable assets from unauthorized access.

With KeyCore’s professional and managed services, enterprises can benefit from customized solutions tailored to their specific needs. Whether it is setting up AWS Config rules, defining IAM policies, or managing KMS keys, KeyCore provides comprehensive support to ensure your data remains secure on AWS.

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AWS Architecture Blog

Wesfarmers Health, a large corporation in the health sector, implemented upstream event buffering using Amazon SQS FIFO to improve their SaaS application performance. This implementation solved critical challenges related to data processing and event handling, ensuring their systems remain efficient, reliable, and scalable.

Background

Customers of all sizes and industries use Software-as-a-Service (SaaS) applications to host their workloads. SaaS solutions offer significant advantages, such as handling maintenance and upgrades and enabling rapid deployment. However, they also pose challenges in data processing and event handling for high-demand applications.

The Challenge

Wesfarmers Health faced difficulties with managing high volumes of events and ensuring reliable processing within their SaaS ecosystem. The key issues included managing event sequencing, guaranteeing message delivery, and optimizing performance under heavy loads.

The Solution

To address these challenges, Wesfarmers Health adopted Amazon SQS FIFO (First-In-First-Out) queues. Amazon SQS FIFO is designed to ensure the order of events and precisely once processing, making it ideal for event-driven architectures.

  • Event Sequencing: Amazon SQS FIFO guarantees that messages are processed in the exact order they are sent, which is essential for applications where the sequence of events is critical.
  • Message Deduplication: Built-in deduplication helps to avoid the processing of duplicate messages, thereby maintaining data integrity and reducing redundancy.
  • Scalability: Amazon SQS handles scaling transparently, ensuring that the system can manage varying loads without manual intervention.

Business Value

By leveraging Amazon SQS FIFO, Wesfarmers Health achieved higher reliability and performance in their SaaS applications. The automation of event sequencing and deduplication allowed their team to focus on core business activities instead of maintaining complex event-handling logic.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, provides expert services to implement and optimize Amazon SQS FIFO within your applications. KeyCore ensures seamless integration, fine-tunes performance, and provides ongoing management to meet your specific business needs.

For more information on how KeyCore can assist with enhancing your SaaS solutions using AWS technologies, visit KeyCore.

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AWS Partner Network (APN) Blog

Managing compute-intensive workloads in Artificial Intelligence (AI) and High Performance Computing (HPC) presents several challenges, primarily due to the complexity of data ingestion, processing, and integration from diverse sources. WEKA.io has redefined cloud storage performance to address these challenges effectively. Their solution leverages a high-performance, low-latency, and scalable storage system that is particularly well-suited for AI and HPC workloads. By integrating with AWS, WEKA provides a seamless and highly efficient data management environment. This allows organizations to achieve optimal performance while simplifying their data operations.

Introducing the New Modernization Category for AWS Migration and Modernization Services Competency Partners

Application modernization delivers higher agility and cost savings than migration alone. However, it requires expertise across various domains. To better support partners guiding customers through complex transformation journeys, AWS introduced a new modernization category within the AWS Migration and Modernization Competency. This new category aims to streamline the process of collecting and submitting case study materials for partners. By doing so, it helps partners demonstrate their capabilities and success stories more efficiently. This ultimately benefits customers by ensuring they receive expert guidance in their modernization efforts.

Maximizing Storage Performance and Savings with Amazon EBS gp3 and Ollion

Ollion engages with customers to design and execute strategies that improve their cloud environments. They have been particularly successful in maximizing storage performance and savings with Amazon EBS gp3. The gp3 volumes offer lower cost and higher performance compared to previous generation volumes. Ollion strategically helped a customer overcome common challenges associated with growing EBS storage volumes, leading to approximately $300K in savings. This demonstrates the tangible benefits of leveraging advanced AWS storage solutions with expert partner guidance.

Accelerate VMware-based Workload Modernization with AWS Partner Solutions

Migrating VMware-based workloads from on-premises to the cloud can be complex and time-consuming. This challenge is particularly significant for enterprises heavily invested in VMware infrastructure. AWS partners offer solutions that simplify and accelerate this migration process. By leveraging AWS partner solutions, organizations can benefit from cloud computing while reducing the complexity and time associated with migration. This enables enterprises to modernize their IT infrastructure, improve operational efficiency, and gain access to advanced cloud-native services.

How KeyCore Can Help

As the leading Danish AWS Consultancy, KeyCore offers both professional and managed services to help organizations navigate their cloud journey. Whether it’s optimizing storage performance with Amazon EBS gp3, guiding through complex AI and HPC workloads with WEKA, or accelerating VMware-based workload modernization, KeyCore has the expertise to support your needs. Our team of AWS-certified consultants can provide tailored solutions to ensure your cloud environment is efficient, cost-effective, and future-proof. Learn more about our services at KeyCore.dk.

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AWS HPC Blog

Reservoir simulation is a crucial process for energy companies, helping them to understand subsurface reservoirs and optimize oil and gas extraction. These simulations, however, are computationally intensive and can be time-consuming. This blog explores how leveraging AWS P5 instances can significantly enhance the performance of SLB INTERSECT simulations, achieving up to a 10x increase in throughput.

Understanding Reservoir Simulations

Reservoir simulations involve complex mathematical models to predict the behavior of fluids within underground formations. These models are essential for making informed decisions about drilling, production, and reservoir management. SLB INTERSECT is a high-resolution reservoir simulator used extensively in the energy sector for its accuracy and reliability.

The Power of AWS P5 Instances

AWS P5 instances are engineered to deliver high performance for compute-heavy applications. Equipped with NVIDIA H100 Tensor Core GPUs, these instances provide exceptional parallel processing capabilities. This hardware is particularly effective for tasks involving large-scale simulations and deep learning, making it well-suited for reservoir simulations.

By migrating SLB INTERSECT simulations to AWS P5 instances, energy companies can dramatically reduce computation times. The enhanced processing power allows for more detailed simulations and quicker scenario testing, ultimately leading to better decision-making and resource management.

Technical Implementation

To utilize P5 instances for SLB INTERSECT, users should follow these steps:

  • Set up an AWS environment with P5 instances.
  • Install and configure SLB INTERSECT on the P5 instances.
  • Optimize the simulation parameters to take full advantage of the GPU capabilities.
  • Run and monitor the simulations, adjusting resources as needed for optimal performance.

AWS provides extensive documentation and support to assist in this setup, ensuring that users can quickly and effectively migrate their workloads.

Business Value

The significant reduction in simulation time translates directly to cost savings and operational efficiency. Faster simulations mean that energy companies can run more scenarios in less time, gaining insights that can lead to improved production strategies and reduced operational risks. Additionally, the scalability of AWS allows companies to dynamically allocate resources based on their simulation needs, avoiding the upfront costs associated with traditional high-performance computing (HPC) infrastructure.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS Consultancy, specializes in both professional services and managed services. Our expertise in AWS can help your organization leverage P5 instances to enhance your reservoir simulations. From initial setup to optimization and ongoing management, KeyCore provides comprehensive support to ensure you get the maximum benefit from your AWS investment. Contact us to learn how we can assist with your HPC needs and drive better outcomes for your business.

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AWS Cloud Operations & Migrations Blog

In this post, explore how AWS solutions can enhance cloud operations and streamline processes through automation and integration. The following sections summarize how AWS Resilience Hub, AWS Chatbot with Microsoft Teams, and AWS Audit Manager can improve operational efficiency and compliance reporting.

Automate Standard Operating Procedures (SOPs) with AWS Resilience Hub

AWS Resilience Hub is a centralized platform within the AWS Management Console designed to help manage and enhance the resilience of your applications on AWS. It allows the definition of resilience goals, assessment of current resilience posture, and implementation of improvement recommendations based on the AWS Well-Architected Framework.

With AWS Resilience Hub, users can automate SOPs, ensuring that their applications remain robust and less prone to disruptions. This automation helps in maintaining continuity, reduces manual intervention, and aligns with industry best practices for operational resilience.

Key benefits include:

  • Centralized management of application resilience
  • Automated recommendations for resilience improvements
  • Enhanced visibility into application resilience posture

Streamline AWS Support with AWS Chatbot and Microsoft Teams

ChatOps integrates chat platforms with automation tools to facilitate communication and task execution within a team. Implementing AWS Chatbot within Microsoft Teams allows operations teams to streamline AWS support by bringing people, tools, and processes into a single chat interface.

By using AWS Chatbot, teams can quickly access AWS services, receive notifications, and execute commands directly from their chat platform. This approach reduces response times and improves collaboration.

Benefits of this integration include:

  • Real-time notifications and alerts
  • Direct execution of AWS CLI commands
  • Improved team collaboration and communication

Generate External IdP User Access Privilege Reports with AWS Audit Manager

Compliance with industry-specific regulations often requires detailed user access privilege reports. AWS Audit Manager simplifies this process by automating the collection and organization of evidence required for audits.

Organizations can use AWS Audit Manager to generate comprehensive reports on user privilege and access, ensuring that permissions are tightly controlled and easily verifiable. This automation reduces the complexity associated with access control mechanisms and supports regulatory compliance.

Advantages include:

  • Automated evidence collection for audits
  • Detailed user access privilege reports
  • Streamlined compliance with industry regulations

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers expert guidance and support for leveraging these AWS solutions. With professional and managed services, KeyCore can help automate SOPs with AWS Resilience Hub, integrate AWS Chatbot with Microsoft Teams, and generate compliant user access reports using AWS Audit Manager.

Our team of AWS specialists ensures that your cloud operations are optimized for resilience, efficiency, and compliance. Contact KeyCore to learn how we can transform your AWS environment and drive your business forward.

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AWS for Industries

BayCare’s St. Joseph’s Hospital in Tampa, FL, part of BayCare Health System, has significantly improved its cafeteria experience with Amazon’s Just Walk Out technology. Busy hospital staff and anxious visitors can now skip the lines when grabbing meals, thanks to this advanced system. The technology allows customers to enter the cafeteria, pick up what they need, and leave without the need to queue at a checkout. This enhancement not only reduces wait times but also boosts operational efficiency, making it a win-win for both the hospital and its patrons.

The era of digital transformation has ushered in the convergence of Operational Technology (OT) and Information Technology (IT) systems. Industries are increasingly adopting software-defined architectures for real-time data exchange, enhanced operational efficiency, and data-driven decision-making. OT-IT convergence allows seamless data flow between operational and enterprise systems, enabling real-time monitoring and improved security. This integration ensures that data from the shop floor informs business decisions, bridging the gap between operations and IT.

Enhancing OT Security

With OT-IT convergence, industries can enhance their security posture by adopting automation software management. This approach helps safeguard against cyber threats and ensures that operational systems are resilient and secure. Real-time monitoring facilitated by this convergence also allows for quicker identification and response to potential security incidents.

The manufacturing sector is also experiencing a boost in agility with the adoption of self-service IT on the shop floor using AWS. Cloud computing benefits such as increased agility, elasticity, cost savings, and scalability are now available to operational technology (OT) in manufacturing. By leveraging AWS, manufacturers can enable real-time data exchange, improve operational efficiency, and make data-driven decisions quickly.

Self-Service IT Benefits

Self-service IT allows shop floor staff to access the tools and data they need without relying on centralized IT departments. This autonomy leads to faster decision-making, reduced downtime, and increased innovation. Additionally, the scalability of AWS ensures that manufacturers can easily adapt to changing demands and continue to optimize their operations.

Lastly, automotive developers are accelerating Model-Based Development (MBD) with BTC EmbeddedPlatform on AWS. MBD tools help create software using visual models, followed by generating and executing tests to verify software against various requirements. However, testing can be time-consuming and often requires running a growing number of tests.

Accelerating Model-Based Development

AWS provides the computational resources needed to run extensive tests efficiently, reducing the time developers spend on testing. This capability allows for quicker development cycles and ensures that software meets functional, safety, and other requirements. The use of AWS helps automotive developers enhance their productivity and bring safer, more reliable software to market faster.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, offers expert guidance and services to help businesses leverage AWS technologies effectively. Whether it’s integrating Just Walk Out technology, enabling OT-IT convergence, implementing self-service IT on the shop floor, or accelerating Model-Based Development, KeyCore’s professional and managed services ensure optimal outcomes. With extensive AWS expertise, KeyCore can tailor solutions to meet specific industry needs, driving operational efficiency, security, and innovation.

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AWS Marketplace

In a recent exploration of AI in healthcare, industry leaders from Forrester Consulting, PathAI, Pieces, and CareJourney by Arcadia discussed how AI solutions can transform healthcare organizations (HCOs). The discussion highlighted the tools and insights that these AI solutions provide, empowering HCOs to innovate while balancing patient care, improving operational processes, and ensuring compliance.

AI in Healthcare: Empowering Organizations

AI in healthcare is revolutionizing patient care by providing advanced tools and insights. These AI solutions enable healthcare organizations to adopt innovative approaches without compromising on patient safety or regulatory compliance. For instance, AI-driven diagnostics and predictive analytics can significantly enhance the accuracy of medical diagnoses and patient treatment plans.

Balancing Innovation and Compliance

One of the key considerations in implementing AI in healthcare is maintaining a balance between innovation and compliance. AI tools can streamline processes, reduce manual errors, and improve overall efficiency. However, it is crucial to ensure that these advancements do not violate any regulatory standards or patient privacy concerns. The industry leaders emphasized the importance of integrating compliance frameworks within AI solutions to ensure that healthcare providers can innovate responsibly.

In the financial services sector, fostering a culture of security and compliance is paramount. A recent blog post summarized key takeaways from real-world case studies and trends driving cloud adoption in investment management. The financial sector is increasingly moving towards cloud solutions to enhance security, compliance, and operational efficiency.

Cloud Adoption in Financial Services

Cloud adoption offers numerous benefits for investment management firms, including improved security, scalability, and cost-efficiency. By leveraging cloud technologies, financial institutions can better manage their data, streamline operations, and ensure compliance with industry regulations. The blog post highlighted several case studies showcasing how leading financial firms have successfully transitioned to the cloud, reaping significant benefits in terms of security and compliance.

Fostering a Culture of Security

Security is a top priority in the financial services sector. The blog post emphasized the importance of creating a culture of security within organizations. This involves not only investing in advanced security technologies but also fostering awareness and best practices among employees. By prioritizing security culture, financial institutions can better protect their assets and maintain trust with their clients.

KeyCore’s Expertise in AI and Cloud Solutions

KeyCore offers unparalleled expertise in implementing AI and cloud solutions for both healthcare and financial services. Our team of AWS-certified professionals can help healthcare organizations integrate advanced AI tools while ensuring compliance with regulatory standards. Additionally, KeyCore assists financial institutions in adopting secure, scalable cloud solutions that enhance operational efficiency and compliance. Partner with KeyCore to leverage cutting-edge technology and drive innovation in your organization.

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

On November 1, 2023, the New York State Department of Financial Services (NYDFS) issued its Second Amendment to its Cybersecurity Requirements for Financial Services Companies. This amendment is part of Section 500 of 23 NYCRR 500. The new rules emphasize the importance of encryption in transit over external networks to protect sensitive data. AWS provides comprehensive guidance to help meet these updated cybersecurity requirements, ensuring companies can secure data effectively while complying with state regulations.

AWS Tools and Guidance

AWS offers various services and tools to help organizations implement strong encryption methods for data in transit. AWS Key Management Service (KMS), AWS Certificate Manager, and AWS CloudHSM are just a few examples. These services enable the creation, management, and deployment of encryption keys and certificates, which can be used to enforce encryption policies across an organization. AWS also provides detailed documentation and best practices to help businesses comply with NYDFS requirements and other regulatory frameworks.

Making Sense of Secrets Management on Amazon EKS for Regulated Institutions

Amazon Web Services (AWS) customers in regulated industries, such as financial services and healthcare, must meet stringent regulatory and compliance obligations like PCI DSS and HIPAA. Secrets management is a critical aspect of maintaining compliance and security in these environments. AWS offers a suite of tools and services to help manage secrets securely on Amazon Elastic Kubernetes Service (EKS).

AWS Secrets Manager and AWS Parameter Store

AWS Secrets Manager and AWS Systems Manager Parameter Store are key services that help manage secrets. These tools allow for the secure storage, rotation, and access management of sensitive information such as database credentials, API keys, and other secrets. Integration with Amazon EKS ensures that applications running in Kubernetes environments can securely access these secrets, maintaining compliance with industry regulations.

Announcing AWS KMS Elliptic Curve Diffie-Hellman (ECDH) Support

When it comes to protecting data with cryptography, symmetric keys and algorithms are often preferred for their speed and efficiency. However, securing data exchanges over untrusted networks can be challenging. AWS KMS now supports Elliptic Curve Diffie-Hellman (ECDH) key exchange, which enhances security by enabling secure key exchanges between parties over an untrusted network.

Benefits of ECDH

ECDH provides several advantages, including enhanced security and performance. By using asymmetric key pairs, it ensures that only the intended parties can generate a shared secret key, which can then be used for symmetric encryption. This method offers a robust solution for securing data in transit, especially in environments where secure key exchange is crucial.

How KeyCore Can Help

At KeyCore, we provide expert guidance and services to help organizations navigate the complexities of AWS security, identity, and compliance. Our team can assist in implementing AWS tools and best practices to meet regulatory requirements, secure data in transit, and manage secrets effectively. Whether it’s configuring AWS KMS for ECDH support, deploying secrets management solutions on Amazon EKS, or ensuring compliance with NYDFS regulations, KeyCore has the expertise to support your organization’s needs.

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Front-End Web & Mobile

AWS Amplify now allows developers to configure and manage multiple storage buckets within their applications. This enhanced feature enables efficient content organization and management across multiple storage resources, offering more granular control over access rules. Developers can apply specific access permissions to individual paths within each bucket, enhancing security and flexibility in storing application data.

Key Features of AWS Amplify Storage

AWS Amplify storage is designed to simplify the process of managing your application’s storage needs. Here are some of the key features:

  • Multiple Storage Buckets: You can now create and manage multiple buckets, making it easier to organize your content logically.
  • Granular Access Control: Apply access rules to individual paths within each bucket. This allows for more precise control over who can access specific content.
  • Seamless Integration: AWS Amplify integrates seamlessly with other AWS services, providing a cohesive development experience.

How It Benefits Developers

Managing multiple storage buckets provides several advantages:

  • Improved Organization: Developers can segregate different types of data into separate buckets, which helps in better organization and management.
  • Enhanced Security: Applying granular access rules ensures that sensitive data is only accessible to authorized users, enhancing security.
  • Flexibility: The ability to manage multiple buckets allows developers to scale their storage infrastructure according to their application’s needs.

Leveraging AWS Amplify at KeyCore

At KeyCore, we leverage the power of AWS Amplify to deliver robust and scalable storage solutions tailored to our clients’ needs. Our expertise in AWS services ensures that we can help you optimize your application’s storage management, enhance security, and improve overall performance. Whether you need to set up a single bucket or manage a complex storage infrastructure, we have the skills and experience to support your goals.

Contact KeyCore today to learn more about how we can assist with your AWS Amplify storage needs and other AWS-related projects.

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AWS Contact Center

Standard Bank, one of Africa’s largest banks, has significantly improved its operational efficiency using Amazon Connect. With over 50,000 employees and 18 million customers across 20 countries, the bank has a vast and complex contact center operation. Amazon Connect has enabled Standard Bank to streamline these operations, providing a scalable, reliable, and secure solution for managing customer interactions. By leveraging Amazon Connect, Standard Bank has enhanced its ability to provide seamless customer service, reducing wait times and improving overall customer satisfaction. This move has also allowed the bank to reduce operational costs and allocate resources more effectively.

Deploying a contact center solution can be complex, especially for enterprises with unique requirements. A standardized approach to building contact centers with Amazon Connect is essential for ensuring a successful deployment. This methodology involves a structured process of discovery, documentation, and development. By following this repeatable approach, businesses can create a scalable, reliable contact center that meets their specific needs. This includes understanding the unique requirements of the business, documenting the necessary processes and workflows, and developing a solution that can be easily maintained and enhanced over time. This standardized approach ensures that businesses can quickly adapt to changing customer needs and technological advancements.

Staying ahead in the fast-paced world of cloud innovation requires continuous learning and skill development. Amazon Connect has addressed this need by offering comprehensive training resources, including learning plans and badges. These resources are designed to help customers and partners stay up-to-date with the latest features and best practices for using Amazon Connect. Since its launch in 2017, Amazon Connect has revolutionized the contact center industry with its secure, scalable, and feature-rich platform. The availability of these training resources ensures that users can maximize the potential of Amazon Connect, leading to better customer service and more efficient operations.

At KeyCore, we specialize in helping businesses optimize their contact center operations with Amazon Connect. Our team of AWS experts can guide you through the process of deploying and managing your contact center, ensuring that it meets your unique requirements and delivers exceptional customer service. Whether you need assistance with initial setup, ongoing maintenance, or advanced training, KeyCore is here to help. Contact us today to learn more about how we can support your contact center transformation with Amazon Connect.

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Innovating in the Public Sector

Public sector organizations often face unique challenges when it comes to IT transformation. Whether it’s dealing with common misconceptions about cloud computing, implementing frugal IT architectures, or leveraging innovative AWS services, these articles provide valuable insights into how public sector entities can optimize their operations and achieve their missions.

Dispelling the Top 8 Cloud Myths Holding Back Canadian Public Sector IT Transformation

This article addresses eight common misconceptions about cloud computing held by Canadian public sector organizations. Many believe that cloud security is inadequate, but in reality, cloud providers like AWS invest heavily in security measures. Additionally, while some perceive cloud services as expensive, they often lead to significant cost savings over time. The article also elaborates on the value cloud computing brings beyond mere cost reductions, emphasizing enhanced agility and innovation. Finally, the piece highlights the substantial investments cloud providers are making in Canada, which bolster local infrastructure and services. By dispelling these myths, public sector leaders can make informed decisions and fully leverage cloud computing’s potential.

Frugal Architecture in Action: The Urban Institute Innovates with R and Serverless on AWS

Nonprofit organizations often operate under strict budget constraints, requiring them to be frugal and innovative in their IT approaches. The Urban Institute exemplifies this by using R and serverless architectures on AWS to maximize their resources. This allows them to focus on their mission to improve the human condition without the heavy capital investments typical in commercial organizations. By building only what they need and constantly optimizing for cost and efficiency, the Urban Institute can tackle some of the world’s biggest problems effectively. This article provides a detailed look at how they achieve their goals using AWS services.

Concerts for Carers Uses AWS Fargate, Amazon Aurora to Deliver Ticketing and Events Platform at Any Scale

During the COVID-19 pandemic, three live event professionals launched Concerts for Carers to support the mental health and well-being of NHS workers and paid caregivers by providing free tickets to live events. Leveraging AWS Fargate and Amazon Aurora, they created a scalable ticketing and events platform that can handle varying levels of demand. This use of AWS services ensures that they can continue their mission without worrying about IT infrastructure limitations, allowing them to focus on promoting well-being among frontline workers. The article highlights the technical and mission-oriented achievements of this initiative.

The Role AWS is Playing in Prosper Africa Tech Initiatives

The Prosper Africa Tech for Trade Alliance aims to accelerate e-commerce and digital trade in Africa through public-private partnerships. A recent collaboration between AWS and Choppies, a leading supermarket chain in Botswana, demonstrates this initiative’s impact. By deploying a state-of-the-art Farmer’s app across Choppies’ supplier network, AWS supports local agricultural supply chains and enhances digital trade. This collaboration exemplifies how AWS services can drive economic growth and innovation in emerging markets, aligning with Prosper Africa’s mission.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, is well-equipped to assist public sector organizations in navigating their IT transformation journeys. Whether it’s dispelling myths about cloud computing, implementing cost-effective serverless architectures, developing scalable platforms, or supporting digital trade initiatives, KeyCore offers both professional and managed services tailored to meet specific needs. With deep expertise in AWS, KeyCore can help public sector entities optimize their operations, enhance security, and drive innovation.

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