Summary of AWS blogs for the week of monday Mon Sep 09

In the week of Mon Sep 09 2024 AWS published 92 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Certificate-based authentication (CBA) is a secure method for verifying identities in virtual desktop and application streaming services. AWS has introduced the AWS Private CA Connector for Active Directory, making configuring CBA for Amazon AppStream 2.0 and Amazon WorkSpaces simpler and faster. This article highlights how this integration streamlines CBA and enhances the security of these AWS services.

Overview of AWS Private Certificate Authority and Active Directory Certificate Services

AWS Private Certificate Authority (CA) allows organizations to create and manage their own private certificates. These certificates can be used to authenticate devices, applications, and users within an organization. Active Directory Certificate Services (AD CS) provides customizable services for creating and managing public key certificates. The AWS Private CA Connector for Active Directory bridges these two systems, enabling seamless CBA for Amazon AppStream 2.0 and Amazon WorkSpaces.

Benefits of Using the AWS Private CA Connector

The AWS Private CA Connector for Active Directory offers several benefits:

  • Simplified Configuration: It reduces the complexity of setting up CBA by automating much of the configuration process.
  • Enhanced Security: It leverages certificates to provide strong, cryptographic authentication, ensuring that only authorized users can access AppStream 2.0 and WorkSpaces.
  • Cost Efficiency: By integrating with existing AD CS structures, it eliminates the need for additional infrastructure.
  • Scalability: It allows organizations to scale their authentication mechanisms as they grow, without significant overhead.

How KeyCore Can Help

KeyCore is the leading Danish AWS consultancy, offering both professional and managed services. Our experts can help organizations design, deploy, and manage certificate-based authentication for Amazon AppStream 2.0 and Amazon WorkSpaces using the AWS Private CA Connector for Active Directory. With deep expertise in AWS services, KeyCore ensures secure, efficient, and scalable solutions tailored to specific business needs.

Read the full blog posts from AWS

AWS for SAP

Many SAP customers are increasingly choosing RISE with SAP on AWS to support their AWS transformation. RISE with SAP on AWS provides customers with S/4HANA Cloud on the world’s most secure, reliable, and extensive cloud infrastructure, and offers a broad set of services to transform their business. However, a significant number of customers still run SAP on AWS using traditional models.

Benefits of RISE with SAP on AWS

RISE with SAP on AWS offers several advantages. Customers gain access to the extensive AWS cloud infrastructure, which is known for its reliability and security. This allows businesses to operate their SAP environments with confidence. Additionally, AWS provides a wide array of services that facilitate digital transformation, making it easier for businesses to innovate and scale.

Network Analysis and Troubleshooting

Despite the benefits, running SAP on AWS can present some challenges, particularly in network analysis and troubleshooting. Understanding the nuances of network performance and the potential bottlenecks is crucial for maintaining optimal SAP system performance. AWS offers tools and best practices to help with these tasks, ensuring that SAP environments run smoothly.

KeyCore’s Expertise

KeyCore can play a pivotal role in assisting businesses with their SAP on AWS deployments. With our in-depth knowledge of AWS services and SAP systems, we provide expert guidance on optimizing network performance and troubleshooting issues effectively. Our professional services team can help design and implement a robust SAP on AWS architecture, while our managed services team ensures ongoing support and maintenance.

To learn more about how KeyCore can help with SAP on AWS, visit our website.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Amazon Web Services (AWS) has been at the forefront of cloud and AI innovation, continuously introducing new solutions that empower businesses to leverage cutting-edge technologies. Here, we summarize several insightful articles from the Official Machine Learning Blog of AWS, focusing on generative AI, ultra-low latency applications, best practices, and industry-specific solutions.

Unlocking AWS Cost and Usage Insights with Generative AI

This article explores a solution that leverages generative AI via Amazon Bedrock to simplify querying AWS Cost and Usage Report (CUR) data. Users can input natural language questions, which are then converted into SQL queries. These queries run on Amazon Athena and the results are displayed on a web portal, making it easier to understand AWS cost and usage data.

Streamlining Workflow with Amazon Bedrock Agents

In this post, the focus is on using Amazon Bedrock Agents to streamline complex API interactions. By chaining domain-specific agents, businesses can transform intricate workflows into more adaptive and efficient processes. This solution enhances agility and precision in business operations.

Building Ultra-Low Latency Applications with Amazon SageMaker

The article explains the benefits of using the sticky session routing feature in Amazon SageMaker. This feature helps achieve ultra-low latency, providing a better experience for end-users when serving multi-modal models. It’s particularly advantageous for applications requiring real-time responses.

Creating RAG-Based QnA Applications with SageMaker JumpStart

This detailed guide walks through the process of building a RAG-based question and answering application using the Llama3-8B and BGE Large EN v1.5 models from SageMaker JumpStart. The step-by-step instructions make it easy to create enterprise-ready applications that can handle various customer queries efficiently.

Best Prompting Practices with Meta Llama 3

Here, AWS dives into best practices for prompting Meta Llama 3 using Amazon SageMaker JumpStart. The post covers techniques such as using system prompts, few-shot examples, and optimizing inference parameters to generate high-quality outputs from Meta Llama 3.

Empowering Healthcare with Generative AI

This article discusses how generative AI can empower healthcare payers and plans to provide better member experiences. By using intuitive interfaces, the solution can reduce call volumes and operational costs while delivering necessary information to plan members effectively.

Advancing Production-Grade Generative AI

As generative AI evolves from proof of concepts to production, new capabilities are emerging that lower costs, streamline production, and enhance security. This post highlights these advancements and their impact on business and consumer interactions.

Scaling Language Model Research with SageMaker HyperPod

Thomson Reuters’ journey with Amazon SageMaker HyperPod is detailed in this article, showcasing how they enabled cutting-edge research in training large language models. The focus is on the purpose-built infrastructure that supports distributed training at scale.

Introducing Amazon EKS Support in SageMaker HyperPod

This post provides an overview of the new features in SageMaker HyperPod that facilitate large-scale model training on Amazon EKS clusters. It’s designed for Kubernetes cluster administrators and ML scientists looking to leverage EKS for their model training needs.

Purpose-Built Accelerators for Financial Services

A non-technical overview of purpose-built accelerators (PBAs) and their role in the financial services industry. This article aims to inform business leaders about how PBAs can enhance their financial operations.

Anomaly Detection with Amazon Managed Service for Apache Flink

This post demonstrates building a robust real-time anomaly detection solution for streaming time series data. Using Amazon Managed Service for Apache Flink and other AWS services, it provides a scalable approach to monitoring and detecting anomalies.

Enhancing TechOps with Generative AI

AWS generative AI solutions like Amazon Bedrock, Amazon Q Developer, and Amazon Q Business are discussed in this article. They enhance TechOps productivity, reduce issue resolution times, and standardize operating procedures.

Optimizing MLOps for Sustainability

Guidance on optimizing MLOps for sustainability on AWS is provided, with service-specific practices to understand and reduce the environmental impact of these workloads.

Building Complex Generative AI Applications with Amazon Bedrock Agents

This article delves into how Amazon Bedrock Agents can be used to build intelligent and context-aware generative AI applications. These agents streamline complex workflows and deliver natural, conversational user experiences.

Genomics England’s Use of SageMaker for Cancer Research

Details the collaboration with Genomics England to create proof of concept exercises for multi-modal machine learning in cancer research. Using genomic and imaging data, SageMaker helps in survival analysis and cancer sub-typing, enhancing the understanding of cancer biomarkers.

Aligning Meta Llama 3 to Human Preferences

This post shows how to enhance Meta Llama 3 8B Instruct’s performance by fine-tuning it using direct preference optimization (DPO) with data collected via SageMaker Ground Truth.

Amazon EC2 P5e Instances

Discusses the core capabilities of Amazon EC2 P5e instances and their suitability for specific use cases. It includes an example of deploying Meta Llama 3.1 models on these instances.

Exploring Data with AI Chat at Domo

This post shares how Domo uses Amazon Bedrock to provide a flexible and powerful AI solution, enhancing their data exploration capabilities.

How KeyCore Can Help

KeyCore, the leading Danish AWS Consultancy, can assist businesses in implementing these advanced AWS solutions. With expertise in both professional and managed services, KeyCore guides companies through the intricacies of AWS technologies, ensuring optimized and sustainable deployments. Whether you need help with generative AI, ultra-low latency applications, or large-scale model training, KeyCore provides the expertise and support necessary to achieve your goals.

Read the full blog posts from AWS

Announcements, Updates, and Launches

Amazon Web Services (AWS) continues to innovate and improve its vast array of services, delivering new capabilities and tools to enhance user experiences and streamline operations. Here are the latest updates and launches from AWS:

Amazon RDS for MySQL Zero-ETL Integration with Amazon Redshift

Amazon RDS for MySQL has integrated with Amazon Redshift for zero-ETL (Extract, Transform, Load) data replication. This integration enables near real-time analytics by simplifying data ingestion processes. Users can now benefit from:

  • Near Real-Time Data Replication: The integration supports seamless data transfer from RDS for MySQL to Redshift, providing timely insights without the need for complex ETL pipelines.
  • Data Filtering: Users can filter data before ingestion, ensuring that only relevant information is replicated to Redshift.
  • Multiple Integrations: This integration allows users to connect with various AWS services, enhancing the flexibility and functionality of their data workflows.
  • CloudFormation Support: The integration supports AWS CloudFormation, allowing users to deploy and manage their data replication setups with ease.

This new feature helps organizations streamline their data management processes, reduce operational overhead, and gain faster access to insights.

Amazon SageMaker HyperPod Introduces Amazon EKS Support

Amazon SageMaker HyperPod now supports Amazon Elastic Kubernetes Service (EKS). This integration brings several benefits to large model training, including:

  • Resilience: The integration enhances the robustness of training environments, reducing downtime by up to 40%.
  • Observability: Users gain better visibility into their training processes, allowing for improved monitoring and troubleshooting.
  • Flexibility: The integration with EKS provides greater flexibility in managing and scaling training workloads.

By leveraging the combined power of SageMaker HyperPod and EKS, organizations can optimize their model training workflows and expedite their machine learning initiatives.

AWS Weekly Roundup: Highlights from September 9, 2024

Here’s a summary of the latest updates and highlights from AWS:

  • New AWS Heroes: The latest AWS Heroes have been announced. These technical experts share valuable insights, best practices, and innovative solutions to support the AWS community.
  • AWS GenAI Lofts: The AWS GenAI Lofts are in full swing, with locations in San Francisco and São Paulo already open. Additional locations in London, Paris, and Seoul will be opening in the coming months.
  • Service Updates: Recent updates include enhancements to Amazon DynamoDB, AWS AppSync, and the Storage Browser for Amazon S3, among others.

These updates and events demonstrate AWS’s ongoing commitment to empowering its users with cutting-edge tools and resources.

How KeyCore Can Help

KeyCore is the leading Danish AWS consultancy, providing both professional and managed services. Our team of AWS experts can help organizations leverage these new features and integrations to optimize their operations and achieve their business goals. Whether it’s setting up zero-ETL data replication between RDS for MySQL and Redshift, integrating SageMaker HyperPod with EKS, or staying up-to-date with the latest AWS services, KeyCore has the expertise to deliver tailored solutions. Contact us to learn more about how we can support your AWS journey.

Read the full blog posts from AWS

Containers

Bottlerocket: A Purpose-Built Container OS

Bottlerocket is a Linux-based open source operating system designed specifically for running containers. This article explains how Bottlerocket can streamline fleet management at scale and the benefits users can gain from adopting it. Additionally, it highlights how the Bottlerocket product roadmap evolves based on community and user feedback.

Advantages of Bottlerocket

Bottlerocket offers several advantages for container management:

  • Optimized for Containers: Unlike general-purpose operating systems, Bottlerocket is optimized to run containers efficiently. This leads to better performance and resource utilization.
  • Streamlined Updates: Bottlerocket uses an image-based update mechanism, which simplifies the update process and enhances security by reducing the attack surface.
  • Consistent Environments: By providing a consistent environment for running containers, Bottlerocket reduces the complexity involved in managing large fleets of container instances.

Fleet Management at Scale

Managing a fleet of containers at scale can be challenging with general-purpose operating systems. Bottlerocket addresses these challenges by offering:

  • Automated Updates: Automated, atomic updates minimize downtime and ensure consistency across the fleet.
  • Security Enhancements: Bottlerocket’s minimal footprint reduces potential vulnerabilities, and built-in security features like SELinux provide an added layer of protection.
  • Integration with AWS Services: Bottlerocket integrates seamlessly with AWS services, enabling users to leverage tools like Amazon ECS, EKS, and Fargate for efficient container orchestration.

Community-Driven Product Roadmap

The development of Bottlerocket is driven by community and user feedback. This ensures that the operating system evolves to meet real-world needs and incorporates features that address the pain points of container management.

Users are encouraged to participate in the Bottlerocket community by providing feedback, contributing code, or discussing improvements. This collaborative approach helps create an OS that is both robust and adaptable to the ever-changing container landscape.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, specializes in leveraging AWS technologies to optimize container workloads. Our experts can assist with:

  • Bottlerocket Deployment: Implementing Bottlerocket to enhance container performance and streamline fleet management.
  • Security Best Practices: Applying security best practices to safeguard container environments.
  • Integration with AWS Services: Seamlessly integrating Bottlerocket with AWS services like ECS, EKS, and Fargate.

Reach out to KeyCore to unlock the full potential of Bottlerocket and optimize your containerized applications.

Read the full blog posts from AWS

AWS Quantum Technologies Blog

Quantum computing has transitioned from theoretical to practical applications with Amazon Braket. This post aims to demystify quantum computing by leveraging Amazon Braket and explaining Grover’s algorithm in an educational context.

Understanding Grover’s Algorithm

Grover’s algorithm is a quantum algorithm designed to search unsorted databases or solve problems with a quadratic speedup compared to classical algorithms. The algorithm is renowned for its efficiency in finding a specific item in an unstructured database of N items in O(√N) time.

The Dinner Party Problem

The dinner party problem exemplifies Grover’s algorithm in a practical scenario. The problem involves identifying a set of friends who can be invited together to a party, ensuring they all get along. Using Grover’s algorithm, Amazon Braket helps solve this problem efficiently.

Setting Up Amazon Braket

Amazon Braket simplifies the process of setting up and running quantum algorithms. Users can define quantum circuits using familiar programming languages like Python and execute them on different quantum computing hardware, including simulators and actual quantum processors.

Implementing Grover’s Algorithm on Amazon Braket

To implement Grover’s algorithm on Amazon Braket, users start by defining the problem space and constructing the quantum circuit. Amazon Braket provides a managed service to compile and run this quantum circuit on the chosen hardware backend.

Business Value of Quantum Computing

Quantum computing offers substantial business value by solving complex problems faster than classical methods. This capability can lead to breakthroughs in various fields, including cryptography, optimization, and materials science.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, provides expert services to help businesses harness the power of quantum computing with Amazon Braket. From initial setup to advanced quantum algorithm implementation, KeyCore offers comprehensive support to leverage quantum technologies effectively. Visit KeyCore to learn more.

Read the full blog posts from AWS

Helping non-technical small and medium businesses (SMBs) migrate to the cloud

For non-technical small and medium businesses (SMBs), migrating to the cloud can seem daunting. However, embracing cloud technologies such as Software as a Service (SaaS) and AI-powered solutions can provide significant benefits, including scalability, affordability, and improved customer experiences. This article combines insights from two key areas to help SMBs understand how cloud migration can transform their operations.

Empower Your SMB with SaaS Solutions

SaaS offers a powerful way for SMBs to enhance their operations without the need for substantial investments in hardware or software. By leveraging SaaS, businesses can scale their operations more easily and affordably. This model allows companies to pay for only what they use, providing a cost-effective solution that can adapt to their needs as they grow.

Additionally, SaaS solutions are typically managed by the provider, reducing the burden on internal IT resources. This allows SMBs to focus more on their core business activities rather than on maintaining and updating software. SaaS also offers the benefit of automatic updates, ensuring that businesses always have access to the latest features and security enhancements.

By streamlining operations with SaaS, SMBs can accelerate their growth and gain a competitive edge in their market. The flexibility and efficiency provided by SaaS make it an invaluable tool for any small business looking to innovate and grow.

Transform Customer Experience with AI-Powered Solutions

Artificial Intelligence (AI) is no longer just a futuristic concept; it is a practical tool that can significantly enhance customer experience. For SMBs, AI-powered solutions from AWS, such as real-time analytics and chatbots, can revolutionize how they interact with customers.

Real-time AI solutions enable businesses to provide faster and more personalized customer service. For instance, AI chatbots can handle common customer inquiries, freeing up human agents to tackle more complex issues. This leads to a more efficient use of resources and improved customer satisfaction.

Moreover, AI can help cut costs by automating routine tasks and providing valuable insights into customer behavior. These insights can inform business decisions, helping SMBs to better understand and meet their customers’ needs. Adopting AI-powered solutions can give SMBs a significant competitive advantage by enhancing their ability to deliver exceptional customer service.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, specializes in helping SMBs transition to the cloud. With expertise in both professional and managed services, KeyCore provides tailored solutions to meet the unique needs of each business. Whether it’s migrating to SaaS or implementing AI-powered customer service tools, KeyCore ensures a seamless and successful transition.

Our team of AWS experts works closely with clients to understand their specific requirements and develop a strategy that aligns with their business goals. By leveraging the latest AWS technologies, KeyCore helps SMBs unlock the full potential of the cloud, driving innovation and growth.

Contact KeyCore today to learn how we can support your SMB in its cloud journey and help you gain a competitive edge in an ever-evolving market.

Read the full blog posts from AWS

Official Database Blog of Amazon Web Services

Analyzing PL/SQL and T-SQL Code Using Amazon Bedrock

In this article, Amazon Bedrock uses the Anthropic Claude3 Sonnet large language model (LLM) to provide detailed analyses of complex PL/SQL and T-SQL code. This tool helps developers understand the logic and flow of the code, especially those who are new to a codebase or working with unfamiliar code. Breaking down the intricacies of these languages can significantly enhance comprehension and efficiency.

Using Amazon RDS Proxy with IAM Authentication for Cross-Account Access

This post discusses achieving cross-account connectivity with Amazon RDS Proxy while utilizing IAM authentication. This method simplifies access management and enhances security by allowing users to leverage IAM roles for database connections. The article is a follow-up to a previous post on using RDS Proxy to provide database access across AWS accounts.

Faster Development with Amazon DynamoDB and Amazon Q Developer

Amazon Q Developer, a generative AI assistant, helps accelerate the development of applications on AWS. In this article, the creation of a DynamoDB table using Infrastructure as Code (IaC) is demonstrated, followed by performing CRUD operations on the table using Python and Boto3. Observations for JavaScript and Java are also included. Amazon Q significantly speeds up these development tasks.

Obtaining Item Counts in Amazon DynamoDB

This article addresses methods to obtain the count of items in a DynamoDB table or specific partitions. Different techniques are explored, each tailored to various use cases, focusing on balancing accuracy, performance, and cost. This guidance is particularly useful for those who need to manage data efficiently in DynamoDB.

How Delivery Hero Perfects Restaurant Operations Using Gamification with Amazon DynamoDB

This post highlights Delivery Hero’s use of Amazon DynamoDB to build a scalable and cost-efficient solution. By leveraging gamification, Delivery Hero improved restaurant operations significantly. The article provides an overview of their goals and the technical implementation details.

Migrate an Oracle Database to Amazon RDS for Oracle Using Oracle GoldenGate Microservices Architecture

This article demonstrates how to migrate an Oracle database to an Amazon RDS for Oracle DB instance. The process involves using Oracle Data Pump for the initial data load and Oracle GoldenGate Microservices Architecture for change data capture. The GoldenGate hub is installed on an Amazon EC2 instance, facilitating a smooth migration process.

Create Self-Managed Replicas for an Amazon RDS for Db2 Instance for Read Scaling and Disaster Recovery

This post explains how to use RDS Db2 Snapshot and AWS Database Migration Service (DMS) to create cross-region replicas for an RDS for Db2 instance. These replicas can be used for read scaling if the application layer directs only read traffic to the replica. This method enhances both performance and disaster recovery capabilities.

Resolving Non-Responsive Connection Issue to On-Premises Oracle Multitenant Architecture Database

This article tackles connection issues with an on-premises Oracle Multitenant Architecture database having local listeners behind a firewall. It explains how Oracle’s container-based architecture allows for multitenant container databases (CDBs) with pluggable databases (PDBs) inside. The solution involves specific steps to ensure responsiveness and connectivity from the cloud.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, offers extensive expertise in AWS professional and managed services. Whether it’s analyzing complex code, setting up cross-account access, accelerating development with AI tools, or migrating and managing databases, KeyCore can provide tailored solutions to meet your specific business needs. Our team of AWS-certified experts ensures seamless integration, optimization, and support, helping you leverage the full potential of AWS services. Learn more about our offerings at KeyCore.

Read the full blog posts from AWS

Microsoft Workloads on AWS

In this blog post, the focus is on deploying a secure infrastructure to manage Amazon Elastic Compute Cloud (Amazon EC2) instances for Microsoft Windows Server using AWS Launch Wizard. AWS Launch Wizard offers a streamlined approach to sizing, configuring, and deploying AWS resources, ensuring a secure and scalable environment for Microsoft workloads.

Introduction to AWS Launch Wizard

AWS Launch Wizard is a service that simplifies the deployment of Microsoft applications on AWS. It provides a guided approach to configure and deploy resources based on best practices. Users can quickly set up a secure infrastructure with minimal manual intervention, which is particularly useful for managing Amazon EC2 instances running Microsoft Windows Server.

Benefits of Using AWS Launch Wizard for Remote Desktop Gateway

Using AWS Launch Wizard to deploy Remote Desktop Gateway (RD Gateway) offers several benefits:

  • Efficiency: The wizard automates the configuration and deployment process, saving time and reducing the risk of manual errors.
  • Scalability: AWS resources can be easily scaled according to the needs of the organization, ensuring optimal performance.
  • Security: The deployment process incorporates AWS best practices for security, ensuring that the infrastructure is protected against potential threats.

Step-by-Step Deployment

The AWS Launch Wizard guides users through the deployment process in a few simple steps:

  1. Select the Application: Users begin by selecting the application they want to deploy, such as Microsoft Remote Desktop Gateway.
  2. Define Requirements: The wizard helps users specify their performance and capacity requirements, ensuring the deployed infrastructure meets their needs.
  3. Configure Settings: Users can configure various settings, including security groups, network settings, and instance types, through the guided interface.
  4. Review and Deploy: After reviewing the configurations, users can deploy the resources with a single click. The AWS Launch Wizard handles the rest, setting up the infrastructure based on the provided specifications.

Business Value

Deploying Microsoft workloads on AWS using AWS Launch Wizard provides significant business value. Organizations can reduce deployment times and operational costs while ensuring a secure and scalable infrastructure. The automated process minimizes the risk of errors, leading to more reliable and efficient operations.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, offers expert guidance and support for deploying Microsoft workloads on AWS. Our team of AWS-certified professionals can help organizations leverage AWS Launch Wizard to set up and manage their infrastructure efficiently. Whether it’s configuring the deployment for optimal performance or ensuring security best practices, KeyCore is here to assist every step of the way.

Read the full blog posts from AWS

Official Big Data Blog of Amazon Web Services

Amazon Web Services (AWS) offers a variety of tools and services to facilitate big data processing, advanced analytics, and seamless data management. Here, we provide a summary of several blog posts from the “Official Big Data Blog of Amazon Web Services,” each with a focus on different aspects of AWS big data services.

Automate Job Management in Multi-Cluster Amazon EMR on EKS Environments

For enterprises processing petabytes of data, Amazon EMR on EKS in a multi-cluster setup offers enhanced resiliency and no single point of failure. By using the Batch Processing Gateway, businesses can automate job management across multiple clusters, ensuring continuity even if one cluster fails. This setup is critical for maintaining business operations with diverse workloads and operational requirements.

Building a Scalable Data-Engineering Platform with Amazon EMR at CFM

Capital Fund Management (CFM), an investment firm, has developed a scalable data-engineering platform using Amazon EMR. This platform is designed for generating financial features, allowing CFM to leverage quantitative and systematic techniques for their investment strategies. The well-governed platform supports the scientific approach used by CFM in finance.

Zero Copy Data Sharing from Salesforce Data Cloud to Amazon Redshift

Salesforce and Amazon Redshift offer bidirectional Zero Copy data sharing, which allows businesses to unlock unified data’s value. This capability accelerates time to insights by enabling cross-Region data sharing between Salesforce Data Cloud and AWS accounts, improving data accessibility and operational efficiency.

Optimizing Apache Iceberg Tables with AWS Glue Data Catalog

AWS Glue Data Catalog now supports storage optimization for Apache Iceberg tables by automatically removing unnecessary data files. This optimization, combined with automated compaction, reduces metadata overhead, controls storage costs, and enhances query performance, making data management more efficient.

Differentiating Generative AI Applications with AWS Analytics

Organizations are exploring the vast potential of generative AI, with a focus on large language models and foundation models. AWS analytics and managed databases enable businesses to leverage their data to differentiate their generative AI applications, providing a competitive edge in various industry sectors.

Building a Clinical Knowledge Repository with Amazon OpenSearch and Neptune

ZS Associates used AWS services to construct a scalable clinical document search platform. Utilizing Amazon OpenSearch Service and Amazon Neptune, this platform aids healthcare professionals and researchers in efficiently navigating vast repositories of medical documents, improving access to critical clinical knowledge.

Local Testing with Amazon MSK Serverless

Developers can now connect to Amazon MSK Serverless from local environments using an Amazon MSK endpoint through an SSH tunnel and bastion host. This setup allows for local experimentation and testing without the need to establish a separate Kafka cluster, streamlining development workflows.

Optimizing HPE Aruba’s Supply Chain with AWS Modern Data Architecture

HPE Aruba re-architected their supply chain management pipeline by adopting a modern data architecture on AWS. This migration optimized both cost and performance, automating supply chain operations and enhancing data-driven decision-making capabilities.

Migrating Delta Tables from Azure Data Lake Storage to Amazon S3 using AWS Glue

As organizations adopt multi-cloud strategies, there is a growing need to extend data access across platforms. AWS Glue facilitates the migration of Delta tables from Azure Data Lake Storage to Amazon S3, enabling the use of AWS analytics, AI, and machine learning services for comprehensive data analysis.

Evaluating Amazon Redshift Data Sharing Architecture

Using Amazon Redshift Data Sharing and the Test Drive utility, businesses can test workload isolation architectures. This process allows for advanced SQL analysis, enabling companies to compare different workloads and configurations, optimizing price performance for various data operations.

Real-Time Financial Data Feeds with Amazon MSK and Apache Flink

Amazon MSK, combined with Amazon Managed Service for Apache Flink, enables the publication and enrichment of real-time financial data feeds. This architecture is applicable to multiple use cases within the capital markets industry, enhancing data processing and real-time analytics capabilities.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and implementation services for all the AWS solutions discussed. Whether it’s automating job management in Amazon EMR, building scalable data-engineering platforms, optimizing data sharing and storage, or enhancing real-time analytics, KeyCore provides tailored solutions to meet your business needs. Contact KeyCore to leverage AWS’s full potential for your big data and analytics projects.

Read the full blog posts from AWS

Networking & Content Delivery

Amazon Web Services (AWS) offers a wide choice of networking services. While these services enable AWS to meet more customer needs around networking, that variety increases the number of available options to consider in making architectural decisions when designing AWS and hybrid networking infrastructure. Cost is one of the main factors that drive architectural decisions.

Estimate AWS Networking Costs with a Self-Hosted Calculator

AWS provides a diverse range of networking services to fulfill various customer requirements. However, this variety can make it challenging to estimate costs accurately. AWS offers a self-hosted calculator that helps users estimate networking costs effectively. This tool is highly beneficial in planning and budgeting, ensuring users can make informed architectural decisions.

Key Features of the Self-Hosted Calculator

The self-hosted calculator allows users to input specific details about their networking setup. By considering factors like data transfer, service usage, and regional variations, the tool provides a detailed cost estimate. This helps users manage their budgets better and avoid unexpected expenses.

Benefits for Businesses

Accurate cost estimation is crucial for businesses planning to use AWS networking services. The self-hosted calculator helps businesses forecast their expenses, ensuring they can stay within budget. This tool supports better financial planning and resource allocation, leading to more efficient use of AWS services.

Migration to AWS Cloud WAN Multi-Region Inspection Using Service Insertion

Since its launch, AWS Cloud WAN has garnered significant interest and undergone numerous enhancements. The latest addition, service insertion, allows users to easily integrate AWS and third-party networking and security services into AWS Cloud WAN via a central policy document. This new feature simplifies the process of inserting these services, making it more straightforward for users to enhance their network security and management.

How Service Insertion Works

Service insertion leverages a central policy document to define and manage the integration of networking and security services. This document specifies which services to insert and where, offering a streamlined approach to network management across multiple regions. Users can deploy and manage their network policies centrally, reducing complexity and improving efficiency.

Advantages for Businesses

The introduction of service insertion in AWS Cloud WAN offers several benefits to businesses. It simplifies the integration of essential networking and security services, enhancing network security and performance. Businesses can manage their network policies more effectively, leading to improved operational efficiency and reduced management overhead.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, provides expert guidance and support in leveraging AWS networking services. Our team can assist businesses in estimating networking costs using the self-hosted calculator, ensuring accurate budget planning. Additionally, we offer professional services to help with the implementation and optimization of AWS Cloud WAN and service insertion. Contact KeyCore to learn how our expertise can enhance your AWS networking infrastructure.

Read the full blog posts from AWS

AWS for M&E Blog

Today, Amazon Web Services (AWS) launches a free digital learning plan: AWS for Media & Entertainment – Content Production Foundations. This learning plan is designed to help content production teams enhance their skills in cloud workflows. It’s the second learning plan created by AWS Media & Entertainment (M&E) solution experts, providing executives and other key staff members with essential training. The course covers various aspects of the content production process, including cloud storage, editing, rendering, and collaboration, enabling teams to work more efficiently and cost-effectively in the cloud.

Improving Video Quality with AV1

The AV1 codec was developed by the Alliance for Open Media (AOMedia), which includes companies such as Amazon, Apple, Netflix, Intel, and Nvidia. AV1 is designed to be a next-generation video codec, succeeding AVC, VP9, and HEVC. It offers superior video compression, allowing for higher quality video at lower bitrates. This makes it ideal for streaming services that aim to improve video quality while reducing costs. By adopting AV1, businesses can enhance their customers’ viewing experiences and save on bandwidth expenses.

AWS Direct-to-Consumer & Streaming at IBC 2024

The AWS Direct-to-Consumer & Streaming solution area offers a range of services to help M&E companies deliver, personalize, and monetize their content. These solutions support live, linear, and on-demand content across multiple platforms and channels. At the IBC Show 2024 in Amsterdam, AWS will showcase these offerings, demonstrating how they can help businesses improve customer experiences and streamline content delivery.

Scalable Workflow with Intel Library for Video Super Resolution

The rise of Free Ad-supported Streaming Television (FAST) channels has increased the need for repurposing low-resolution, standard definition (SD) content. The Intel Library for Video Super Resolution offers a scalable solution for enhancing this content to meet modern viewer expectations. Traditional methods like Lanczos interpolation have limitations in quality, but Intel’s library provides a more advanced approach, enabling better scalability and quality improvements.

Introducing AWS Elemental MediaLive Anywhere

AWS Elemental MediaLive Anywhere offers cloud-controlled live video encoding on existing infrastructure. This solution is ideal for broadcast, live streaming, and video distribution customers with on-premises sources or local network destinations. It combines the flexibility of cloud-based workflows with the reliability of on-premises encoding, offering an optimal solution for hybrid deployments.

Maple Leaf Sports & Entertainment’s Generative AI Video Editor

Maple Leaf Sports & Entertainment (MLSE) has introduced a generative AI video editor to accelerate content delivery to fans. This AI-driven tool allows for rapid editing and distribution of sports highlights, ensuring that fans receive timely and engaging content. The solution leverages AWS’s machine learning and advanced analytics capabilities, demonstrating the potential of AI in enhancing media workflows.

Dynamic FAST Channels with Amazon Bedrock

In today’s streaming landscape, personalization is crucial. A dynamic Free Ad-supported Streaming Television (FAST) channels solution, powered by Amazon Bedrock, uses generative AI to create personalized content experiences. This approach allows for targeted content delivery based on user segments, enhancing viewer engagement and satisfaction.

AWS and NFL AI-Powered Tackle Analysis

Using AWS’s AI capabilities, the NFL has developed an AI-powered tackle analysis system. This technology provides deeper insights into game dynamics by analyzing various factors that contribute to successful tackles. By leveraging AWS’s machine learning tools, the NFL can offer more detailed and accurate game statistics, enhancing both player performance and fan engagement.

JPEG XS Interoperability Workshop at Amazon Prime Video

In July 2024, Amazon Prime Video hosted a JPEG XS interoperability workshop, bringing together AWS Partners, AWS Solutions Architecture, and other industry stakeholders. This event aimed to improve the interoperability of JPEG XS video solutions, fostering collaboration and innovation in the media and entertainment industry.

Open Source Framework for Media Workflows at IBC 2024

At the 2024 International Broadcasting Convention (IBC), AWS will unveil the Cloud Native Agile Production (CNAP) project. This open-source initiative, developed with partners like BBC, Sky, and Adobe, aims to accelerate media creation and delivery during live production. CNAP provides a framework for fast-turnaround media workflows, enabling more agile and efficient content production.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, offers extensive expertise in implementing AWS solutions for media and entertainment. From content production workflows to advanced video encoding and streaming solutions, KeyCore provides both professional and managed services tailored to your needs. By leveraging KeyCore’s knowledge and AWS’s powerful tools, media companies can enhance their operations, deliver high-quality content, and improve viewer experiences. Contact KeyCore to learn how we can assist in optimizing your media workflows with AWS.

Read the full blog posts from AWS

AWS Storage Blog

Direct Supply, a leading provider of products and services to the Long-Term Care industry, made a significant move by migrating a large portion of its IT systems to AWS in early 2019. A key part of this migration involved addressing the need for Server Message Block (SMB) file systems to coexist seamlessly with their respective applications. This blog entry delves into the process and benefits of migrating to Amazon FSx for Windows File Server, highlighting the improvements in availability and performance.

Migration Challenges

Before the migration, Direct Supply had five SMB file systems that were critical for their operations. These systems needed to be closely integrated with the applications they supported to ensure smooth functionality and high availability.

Amazon FSx for Windows File Server

Amazon FSx for Windows File Server provided Direct Supply with a managed file storage solution that fully supports the SMB protocol. This service offered the performance, compatibility, and ease of use required for their workloads. By leveraging Amazon FSx, they could ensure that their file systems were highly available and performant, which was critical for their applications.

Business Benefits

Migrating to Amazon FSx for Windows File Server brought Direct Supply numerous business benefits:

  • Improved Availability: The managed service ensures high availability, reducing downtime and improving service reliability for end users.
  • Enhanced Performance: Amazon FSx offers high-performance storage, which is crucial for the demanding workloads of Direct Supply’s applications.
  • Scalability: The service easily scales with their growing storage needs, providing flexibility and future-proofing their IT infrastructure.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, has extensive experience with AWS storage solutions like Amazon FSx for Windows File Server. KeyCore can assist organizations in planning, executing, and optimizing their migration to AWS. With professional and managed services, KeyCore ensures a seamless transition, addressing all technical and business requirements to maximize the benefits of AWS storage solutions. Learn more about how KeyCore can support your cloud journey at our website.

Read the full blog posts from AWS

AWS Developer Tools Blog

Amazon Web Services (AWS) recently announced significant updates and features in two important areas: the AWS SDK for .NET and the AWS Command Line Interface (CLI) v2. These updates aim to enhance developers’ experiences and streamline their workflows.

Enhancing Observability in the AWS SDK for .NET with OpenTelemetry

Starting with version 3.7.400, the AWS SDK for .NET introduced major observability enhancements. These updates incorporate tracing and metrics capabilities using OpenTelemetry, a widely adopted standard for observability. With these new features, developers can gain deeper insights into their applications’ behavior.

OpenTelemetry allows developers to track API call durations and monitor system metrics effectively. This kind of visibility is crucial for diagnosing issues, optimizing performance, and ensuring applications run smoothly. By integrating OpenTelemetry, the AWS SDK for .NET enables robust monitoring and tracing that can significantly reduce the time spent on troubleshooting and performance tuning.

Linux Support Updates for AWS CLI v2

Amazon Web Services has announced an official Linux distribution support policy for the AWS Command Line Interface (AWS CLI) v2. This policy applies to Linux distributions based on the GNU C Library (glibc). Starting September 16, 2024, certain Linux distributions will be officially supported, ensuring compatibility and reliability for users.

The update is particularly important for developers and system administrators who rely on the AWS CLI for managing their AWS resources. Ensuring support for specific Linux distributions helps maintain a stable and predictable environment for these users. The policy clarifies which distributions will receive support, allowing teams to plan their infrastructure and updates accordingly.

How KeyCore Can Help

KeyCore offers expert guidance and support for leveraging AWS SDK and CLI tools. Whether implementing observability with OpenTelemetry in the AWS SDK for .NET or ensuring compatibility with the latest AWS CLI v2 updates, KeyCore’s experienced consultants can assist. We provide both professional and managed services to help businesses optimize their AWS environments, ensuring robust, efficient, and secure operations.

For more information on how KeyCore can help your organization navigate and implement these AWS updates, visit our website at KeyCore.dk.

Read the full blog posts from AWS

AWS Partner Network (APN) Blog

Amazon Web Services (AWS) continues to grow its network of specialized partners, ensuring customers have access to top-tier expertise and services. Below are summaries of recent updates and success stories from the AWS Partner Network (APN) Blog.

165 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in August

In August, AWS recognized 165 partners for achieving new or renewed specializations. These specializations span various workloads, solutions, and industries. They fall under the AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. Such designations help customers identify AWS Partners capable of delivering on critical business objectives. This network of partners is dedicated to helping customers maximize the business benefits of AWS.

Geniusee Migrates WordPress E-Learning Solution to AWS Serverless

Geniusee, an AWS Advanced Partner, successfully modernized a client’s e-learning SaaS solution. Using Laravel on AWS Lambda and React on Amazon ECS, they created a serverless architecture. This enabled global scalability, high availability, enhanced security, and improved analytics. Geniusee boasts 12 AWS Service Delivery Designations and holds the Education and DevOps Competency within the APN program.

Building a Privacy-Preserving Chatbot with Amazon Bedrock

This post explores how to build a privacy-preserving chatbot using Amazon Bedrock and Skyflow Data Privacy Vault. The architecture pattern focuses on protecting sensitive information, such as personally identifiable information (PII) and intellectual property. Integrating Skyflow into a multi-tenant RAG model provides a robust framework for data privacy, compliance, and security throughout the lifecycle of a generative AI application.

Next-Gen Digital Analytics with Snowplow and Snowflake on AWS

The Next-Gen Digital Analytics solution leverages Snowplow and Snowflake on AWS. It aims to unlock the value of customer behavioral data by improving data quality, governance, and real-time activation. This solution empowers organizations to enhance the use of AI and generative AI to meet key business objectives, such as user acquisition, retention, and customer lifetime value.

AWS Strategic Collaboration Agreements: Automat-it Case Study

In an evolving cloud computing landscape, AWS offers a diverse set of solutions for customers and partners. Through AWS Partner Network (APN) programs and strategic initiatives, AWS supports partner growth and international expansion. This case study highlights how AWS’s strategic collaboration agreements have benefited Automat-it, enabling them to scale and expand globally.

If you need expert guidance on leveraging AWS solutions, KeyCore can assist. As Denmark’s leading AWS consultancy, we offer both professional and managed services. We help organizations navigate their cloud journey, ensuring they harness the full potential of AWS. Learn more at KeyCore.

Read the full blog posts from AWS

AWS HPC Blog

Securing HPC on AWS – Isolated Clusters

High Performance Computing (HPC) workloads often require robust security measures to protect sensitive data. AWS ParallelCluster supports various network configurations, enabling customers to operate HPC workloads in complete isolation from the internet. This isolation can either mean that the HPC cluster is entirely self-contained within AWS or has a private network. Isolated clusters enhance security by ensuring no external access, which is crucial for enterprises dealing with confidential data or adhering to strict compliance requirements.

Network Configurations for Isolation

ParallelCluster offers different network setups to meet diverse isolation needs. Users can configure clusters with no internet gateway, using private subnets and Virtual Private Cloud (VPC) endpoints to access AWS services. This setup ensures that the cluster operates in a closed environment, safeguarding against external threats. Another method involves using AWS PrivateLink to establish private connectivity between VPCs and AWS services, further enhancing security and reducing latency.

By leveraging these configurations, businesses can achieve a high level of security while maintaining the computational power needed for HPC workloads. This approach is especially beneficial for industries like financial services, healthcare, and government agencies where data protection is paramount.

Electronic Design at the Speed of Lightmatter: Transforming EDA Workloads with RES

Lightmatter, a company specializing in electronic design automation (EDA), leveraged AWS tools to transform their workflows. By utilizing AWS Research and Engineering Studio (RES) and AWS ParallelCluster, Lightmatter met the demanding computational requirements for their electronic design tasks. RES provides a powerful platform for managing and analyzing large datasets, while ParallelCluster simplifies the process of deploying and managing HPC clusters.

Advantages of Using RES and ParallelCluster

RES offers a user-friendly interface and powerful analytics tools, enabling engineers to efficiently manage and interpret complex datasets. ParallelCluster automates cluster management tasks, allowing users to focus on their core research and development activities. Together, these tools provide a scalable and flexible environment for EDA workloads, reducing the time and cost associated with traditional on-premises solutions.

Lightmatter’s experience demonstrates how AWS tools can accelerate innovation and improve productivity in the electronic design industry. By moving to the cloud, companies can access virtually unlimited computational resources, enabling them to tackle more complex designs and shorten time-to-market.

Re-thinking HPC in the Cloud

AWS Parallel Computing Service has revolutionized HPC in the cloud by combining familiar tools with the flexibility of cloud infrastructure. Traditional on-premises HPC setups often involved significant capital expenditure and complex management tasks. AWS re-imagined this approach, offering a scalable, cost-effective solution that adapts to the evolving needs of businesses.

Benefits of Cloud-Based HPC

Cloud-based HPC provides several advantages over traditional setups. It eliminates the need for expensive hardware purchases and maintenance, allowing organizations to scale resources up or down based on their workload requirements. Users can leverage a wide range of AWS services, integrating them seamlessly with their HPC workloads to enhance performance and efficiency.

This approach democratizes access to HPC resources, enabling smaller enterprises and research institutions to benefit from powerful computing capabilities without significant upfront investments. AWS’s commitment to innovation ensures that users always have access to the latest technologies and best practices for their HPC needs.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, can assist organizations in leveraging AWS for their HPC workloads. With expertise in both professional and managed services, KeyCore helps clients design, deploy, and manage secure, scalable, and cost-effective HPC solutions. Whether it’s configuring isolated clusters, optimizing EDA workflows, or re-thinking HPC strategies, KeyCore provides tailored solutions to meet your specific needs. Visit keycore.dk to learn more about our offerings and how we can help your business thrive in the cloud.

Read the full blog posts from AWS

AWS Cloud Operations Blog

AWS Service Catalog is a powerful tool that empowers organizations to manage and govern approved services and resources. It significantly benefits platform engineering by standardizing environments, accelerating service delivery, and enhancing security. With its automated provisioning and resource management, Service Catalog supports infrastructure as code, enabling scalable, reliable deployments.

Standardizing Environments

Standardizing environments is critical for maintaining consistency across development, testing, and production stages. AWS Service Catalog allows organizations to create and manage catalogs of IT services that are approved for use. These predefined catalogs ensure that only compliant and secure services are used, reducing the risk of configuration drift and security vulnerabilities. The standardization also makes it easier for platform engineering teams to maintain and update environments as needed.

Accelerating Service Delivery

Accelerating service delivery is crucial for meeting the dynamic needs of businesses. AWS Service Catalog streamlines the provisioning process by automating the deployment of compliant services. This automation minimizes the time and effort required to deploy new services, allowing platform engineering teams to focus on innovation rather than manual tasks. The result is faster time-to-market for new features and products.

Enhancing Security

Enhancing security is a top priority for any organization. AWS Service Catalog enforces governance by allowing administrators to define policies that control which services and resources can be deployed. This ensures that only secure, compliant configurations are used, reducing the risk of security breaches. Additionally, the automated nature of Service Catalog means that security updates can be easily applied across all environments.

Supporting Infrastructure as Code

Supporting infrastructure as code (IaC) is essential for scalable, reliable deployments. AWS Service Catalog integrates with IaC tools like AWS CloudFormation, enabling automated, repeatable deployments. This integration ensures that environments can be quickly recreated or scaled, improving resilience and reducing downtime. The use of IaC also enhances collaboration between development and operations teams, fostering a DevOps culture.

In conclusion, AWS Service Catalog provides a robust framework for managing and governing approved services and resources. By standardizing environments, accelerating service delivery, enhancing security, and supporting infrastructure as code, it empowers platform engineering teams to deliver high-quality services efficiently and securely.

How KeyCore Can Help

KeyCore can help organizations harness the full potential of AWS Service Catalog. With expertise in AWS best practices and a deep understanding of platform engineering, KeyCore can assist in designing and implementing a customized Service Catalog that meets specific business needs. From initial setup to ongoing management, KeyCore ensures that organizations can leverage the benefits of standardization, automation, and security to achieve their cloud operations goals effectively.

Read the full blog posts from AWS

AWS for Industries

Digital transformation empowers manufacturers to measure, connect, and unlock terabytes of data from the shop floor. Yet, despite the promise of lucrative returns, many companies struggle to implement and scale their digital solutions. A McKinsey Study reveals that almost 70% of companies are trapped in “pilot purgatory.” However, AWS IoT SiteWise Edge and Belden are changing this narrative. These tools help manufacturers gain real-time insights and accelerate their digital transformation journey.

Edge to Cloud Digital Transformation with AWS IoT SiteWise Edge and Belden

Manufacturers face significant challenges in scaling digital solutions due to disparate data formats and protocols. AWS IoT SiteWise Edge enables seamless data collection, processing, and visualization at the edge. With Belden’s expertise in industrial automation, manufacturers can bridge the gap between OT and IT systems. This integration helps unlock valuable insights from industrial data and drives operational efficiency.

Building a Charging Station Management System with AWS

Charging Point Operators (CPOs) play a critical role in the EV charging industry by managing charging infrastructure availability and operational costs. According to the International Energy Agency (IEA), the global number of installed public charging points increased by 40% in 2023 compared to 2022. The growth of fast chargers is also accelerating. AWS offers a robust platform for building a Charging Station Management System (CSMS).

Using AWS services, CPOs can efficiently manage charging networks, monitor station performance, and optimize energy consumption. AWS IoT Core, AWS Lambda, and Amazon DynamoDB are key components for real-time data processing and storage. This setup ensures scalability and high availability, crucial for accommodating the growing demand for EV charging.

Barcelo Hotel Group Achieves Campaign Efficiency with Tealium and Amazon Marketing Cloud

In the evolving digital marketing landscape, leveraging first-party audience signals is essential for personalized ad experiences. Barcelo Hotel Group uses Tealium and Amazon Marketing Cloud to enhance their campaign efficiency. They collect first-party data from various customer touchpoints to create targeted audience segments.

By integrating these tools, Barcelo can analyze customer behavior, optimize marketing strategies, and deliver relevant ads. This approach not only improves customer engagement but also enhances ROI on marketing campaigns.

Unlocking Data Operations at Scale with AWS IoT SiteWise Edge and Litmus

According to IoT World Analytics, over 70% of respondents find managing diverse data formats and protocols challenging for scaling smart factory initiatives. AWS IoT SiteWise Edge and Litmus offer a solution by providing a unified data foundation. This integration facilitates seamless data flow between OT, IT, and the cloud.

With these tools, manufacturers can streamline data operations, reduce latency, and enhance real-time decision-making. This is crucial for scaling smart factory initiatives and achieving operational excellence.

Healthcare and Life Sciences Industry Guide to AWS re:Invent 2024

2024 marks a significant year for innovation at the intersection of health and technology. AWS re:Invent 2024, set for December 2-6 in Las Vegas, will showcase groundbreaking technologies and use cases in the healthcare and life sciences sectors. Industry leaders and AWS experts will highlight advancements in generative AI, machine learning, and sophisticated data strategies.

This conference is a must-attend for professionals looking to stay ahead in the rapidly evolving landscape of health technology. Attendees will gain insights into the latest trends and how to leverage AWS solutions to drive innovation in their organizations.

Harnessing Generative AI for Digital Equity: An Interview with Kaniz Mahdi

Kaniz Mahdi, Director of Telco Technologies & Worldwide Solution Architects, shares her experience in the telecom space and her vision for digital equity. Kaniz is spearheading the upcoming generative AI hackathon. In her interview, she discusses the importance of generative AI in creating equitable digital solutions.

Her insights provide a glimpse into the future of telecom and the transformative potential of generative AI. This hackathon aims to inspire innovation and promote digital inclusiveness across the industry.

Read the full blog posts from AWS

AWS Marketplace

With the availability of Grafana Labs Kubernetes Monitoring in AWS Marketplace, AWS users can now efficiently deploy a comprehensive and scalable monitoring solution for their Kubernetes infrastructure. This new offering simplifies the process of setting up monitoring, enabling users to gain insights without the need for extensive configuration.

Ease of Deployment

Users can easily deploy Grafana Labs Kubernetes Monitoring directly from AWS Marketplace. This eliminates the need for time-consuming manual setup and configuration, allowing rapid integration with existing AWS environments. The streamlined deployment process ensures users can start monitoring their Kubernetes clusters swiftly and effectively.

Comprehensive Monitoring Capabilities

Grafana Labs Kubernetes Monitoring provides extensive monitoring capabilities. These include real-time metrics, performance tracking, and alerting for Kubernetes clusters. Users can gain deep insights into their infrastructure performance, identify bottlenecks, and troubleshoot issues efficiently. The solution includes pre-configured dashboards and alerts, making it easier to get started with minimal setup.

Scalability and Flexibility

The solution is designed to scale with users’ Kubernetes environments, ensuring consistent performance even as workloads grow. It supports various data sources and can integrate with other monitoring tools, offering flexibility to customize the monitoring setup according to specific needs. This scalability ensures that users can maintain a high level of observability regardless of the size of their Kubernetes deployments.

Business Value

By leveraging Grafana Labs Kubernetes Monitoring, businesses can enhance their operational efficiency. The improved visibility into Kubernetes clusters allows for proactive management and optimization of resources, reducing downtime and improving the reliability of applications. This ultimately translates to better customer experiences and reduced operational costs.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, offers expert guidance in deploying and optimizing Grafana Labs Kubernetes Monitoring solutions. Our professional services can help design and implement a monitoring strategy tailored to specific business needs. We provide managed services to ensure continuous monitoring and optimization, enabling businesses to focus on core activities while maintaining optimal performance of their Kubernetes infrastructure.

Read the full blog posts from AWS

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

In the ever-evolving landscape of digital sovereignty, organizations must navigate intricate data privacy, security, and compliance requirements. AWS Vice President Max Peterson discusses strategies to empower organizations to meet their digital sovereignty needs. This includes sovereign controls and flexibility in cloud solutions, ensuring that organizations can maintain compliance while leveraging the power of AWS. AWS offers a range of tools and services designed to help organizations across industries and the public sector address these complex challenges. These strategies are essential for organizations aiming to protect their data and ensure compliance with regional and international regulations.

Reducing Risks with Amazon Cognito

For customer-facing applications, enabling self-service sign-up allows potential customers to create accounts and access your services. However, this convenience can also lead to user sign-up fraud and SMS pumping attacks. Amazon Cognito user pools provide a solution to mitigate these risks. By implementing measures such as multi-factor authentication (MFA), adaptive authentication, and advanced security features in Cognito, organizations can significantly reduce fraudulent sign-ups and secure their applications. This ensures that only legitimate users gain access, protecting both your application and its users from potential threats.

Secure by Design: Building Security from the Ground Up

Organizations aiming to enhance operational resilience and build customer trust must prioritize security from the outset of system design. The new AWS whitepaper on Secure by Design (SbD) emphasizes the importance of integrating security into every stage of product and service development. Traditional design approaches often focus on performance and user experience, potentially leaving security as an afterthought. However, by adopting SbD principles, organizations can proactively address security threats and vulnerabilities across their supply chains. This approach not only strengthens security but also builds a foundation of trust with customers who can rely on the robustness of their services.

How KeyCore Can Help

KeyCore offers comprehensive services to assist organizations in navigating the complexities of digital sovereignty, securing customer-facing applications, and adopting Secure by Design principles. Our team of AWS experts can help implement sovereign cloud solutions tailored to regulatory requirements, integrate advanced security features in Amazon Cognito, and instill SbD practices throughout your development processes. By partnering with KeyCore, organizations can ensure they are leveraging the full power of AWS while maintaining the highest standards of security and compliance.

Read the full blog posts from AWS

Front-End Web & Mobile

Building applications with robust authentication and authorization mechanisms is crucial for ensuring security and user management. AWS Amplify, a comprehensive suite of tools for frontend developers, simplifies the process of developing and deploying cloud-powered fullstack applications. By integrating AWS Amplify with Auth0, a popular identity management platform, developers can enhance the security and functionality of their Next.js applications.

Setting Up AWS Amplify

To begin, developers need to configure AWS Amplify for their Next.js application. AWS Amplify provides an easy-to-use CLI that guides developers through the process of initializing a new project, adding authentication, and deploying the application. The configuration involves setting up the AWS Amplify project in the AWS Management Console and integrating it with the Next.js codebase.

Integrating Auth0

Next, the Auth0 identity management platform is integrated to handle user authentication and authorization. Auth0 supports various identity providers and offers a customizable login experience, making it a versatile choice for many applications. By configuring Auth0 as an OpenID Connect (OIDC) Identity Provider, developers can streamline the authentication process. The setup includes creating an Auth0 application, configuring callback URLs, and setting up Auth0 in the Next.js application using AWS Amplify’s authentication module.

Implementing Authentication in Next.js

With AWS Amplify and Auth0 configured, developers can implement authentication in their Next.js applications. This involves creating login and logout flows, handling tokens, and managing user sessions. AWS Amplify provides built-in functions for signing in, signing out, and retrieving user attributes, making it easier to manage authentication state within the application. Developers also need to protect routes and components to ensure only authenticated users can access certain parts of the application.

Conclusion

Integrating AWS Amplify with Auth0 in Next.js applications allows developers to build secure and scalable applications with minimal effort. The combination of AWS Amplify’s deployment capabilities and Auth0’s identity management features provides a powerful solution for handling authentication and authorization in modern web applications.

KeyCore offers expert guidance and implementation support for integrating AWS Amplify and Auth0, ensuring your Next.js applications are both secure and performant. With extensive experience in AWS services, KeyCore can help streamline the authentication process, allowing your team to focus on building great applications.

Read the full blog posts from AWS

Innovating in the Public Sector

The COVID-19 pandemic significantly impacted students’ mental health, with 87 percent of public schools reporting negative effects on social-emotional development. To address this, The Happy Sad Company collaborated with Amazon Web Services (AWS) to create an app aiding teachers, parents, and students in understanding students’ well-being. The app leverages AWS generative AI to offer insights and support, aiming to improve overall student mental health.

Genomics England has embraced digital transformation in pathology by using AWS services like Amazon SageMaker. By digitizing tissue sections, they are enabling AI tools to complement expert assessments. This advancement facilitates the preparation of digital pathology images for research and machine learning model development, addressing challenges in storage and pre-processing.

The Natural History Museum (NHM) in London has partnered with AWS to create the Planetary Knowledge Base (PKB), a knowledge graph of global biodiversity. By integrating various biodiversity and environmental data types, NHM leverages Amazon Neptune and other AWS services to accelerate scientific research and data accessibility. This collaboration transforms how biodiversity data is used and shared.

AWS and Alvarez & Marsal produced a whitepaper on cloud data governance for public healthcare in Asia Pacific. This document provides health policymakers with best practices for managing healthcare data in the cloud. The whitepaper aims to guide healthcare institutions in establishing clear data governance policies, enhancing cloud adoption in the region.

AWS announced a $5 million CAD Provincial and Municipal Cyber Grant Program in Canada. Launched at the AWS Summit in Toronto, this initiative supports provincial and municipal governments in implementing cloud-based cybersecurity solutions. The grant provides AWS credits to new and existing AWS customers, fostering enhanced cybersecurity measures.

Anduril Industries launched Alfred, an enterprise search chatbot utilizing Retrieval-Augmented Generation (RAG) architecture. By deploying AWS services such as Amazon SageMaker, Amazon Kendra, and Amazon DynamoDB, Anduril has created a scalable data infrastructure. Alfred operates on AWS GovCloud (US) Regions, supporting robust and secure data management.

The Digital Transformation Hub (DxHub) at California Polytechnic State University collaborated with the City of San Diego and the San Diego Cyber Center of Excellence to create ‘My eCISO’. This generative AI-based application, powered by AWS, promotes cyber resiliency in public and private organizations. My eCISO aids in protecting against cyber attacks by leveraging advanced AI capabilities.

HolonIQ, a global education intelligence platform, partnered with AWS to enhance decision-making for executives. Utilizing services like Amazon OpenSearch Service and Amazon Bedrock, HolonIQ provides instant access to critical data and research. AI and natural language processing (NLP) technologies empower decision makers in various sectors, including education, climate tech, and health.

Read the full blog posts from AWS

AWS Open Source Blog

In the ever-evolving landscape of distributed application development, leveraging cutting-edge tools and frameworks is crucial. One such tool is Dapr (Distributed Application Runtime), an open-source project designed to simplify the complexities of building microservices. This article dives into how developers can expedite the creation of production-ready distributed applications using Dapr on AWS.

Introduction to Dapr

Dapr is an open-source runtime that addresses common challenges in microservices development, such as service-to-service invocation, state management, pub/sub messaging, and workflow orchestration. By abstracting these complexities, Dapr allows developers to focus on business logic rather than infrastructure concerns.

Service Invocation

Service invocation is a fundamental aspect of microservices architecture. Dapr simplifies this by providing a consistent API for calling services, whether they are HTTP or gRPC. This uniformity enables seamless communication between services, making the system more resilient and easier to manage.

Pub/Sub Communication

Managing message distribution and ensuring reliable communication between services is essential in distributed systems. Dapr provides built-in support for pub/sub communication, connecting services through a variety of messaging systems such as AWS SNS and SQS. This abstraction allows developers to switch messaging backends without altering their application code.

Workflow and State Management

Dapr offers robust capabilities for workflow orchestration and state management. It integrates with state stores like AWS DynamoDB, enabling developers to persist state across distributed services effortlessly. Additionally, Dapr’s workflow engine helps in coordinating complex service interactions, ensuring tasks are executed in the correct sequence.

Running Dapr on AWS

Deploying Dapr on AWS provides a scalable and reliable environment for running distributed applications. Combining Dapr with AWS services such as EKS, ECS, and Lambda allows developers to leverage the best of both worlds—Dapr’s simplified microservices framework and AWS’s robust infrastructure.

How KeyCore Can Help

At KeyCore, we specialize in helping businesses harness the power of AWS and open-source technologies like Dapr. Our team can provide expert guidance on setting up, managing, and optimizing Dapr-based applications on AWS. From initial consultation to full-scale deployment, KeyCore ensures your distributed applications are production-ready and scalable.

Read the full blog posts from AWS

Scroll to Top