Summary of AWS blogs for the week of monday Mon Sep 30
In the week of Mon Sep 30 2024 AWS published 83 blog posts – here is an overview of what happened.
Topics Covered
- Desktop and Application Streaming
- AWS DevOps & Developer Productivity Blog
- AWS for SAP
- Official Machine Learning Blog of AWS
- Announcements, Updates, and Launches
- Containers
- Official Database Blog of AWS
- AWS for Games Blog
- Microsoft Workloads on AWS
- Official Big Data Blog of AWS
- Networking & Content Delivery
- AWS Compute Blog
- AWS for M&E Blog
- AWS Storage Blog
- AWS Architecture Blog
- AWS Partner Network (APN) Blog
- AWS HPC Blog
- AWS Cloud Operations Blog
- AWS for Industries
- The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
- Front-End Web & Mobile
- AWS Contact Center
- Innovating in the Public Sector
- The Internet of Things on AWS – Official Blog
Desktop and Application Streaming
When managing Ubuntu Amazon WorkSpaces, one effective solution is utilizing Landscape, a tool provided by Canonical. This tool is especially beneficial for those who seek to monitor and manage their WorkSpaces at scale. Landscape is part of the Ubuntu Pro subscription, which is included with each Ubuntu WorkSpace at no additional cost. This integration allows users to efficiently oversee their WorkSpaces, enhancing operational efficiency and ensuring smooth performance. By leveraging Landscape, organizations can streamline their WorkSpaces management, leading to improved productivity and resource optimization.
Halliburton Landmark, a leading provider of services and products to the energy industry, has improved user experience through the adoption of Amazon AppStream 2.0. Landmark’s Geosciences Suite, part of the DecisionSpace® 365 solution, is a comprehensive toolset designed to help energy professionals better understand the subsurface. By delivering Geosciences Suite as a cloud-native service via the Amazon AppStream 2.0 platform, Landmark offers users worldwide access to their software. This cloud-based delivery ensures that users experience seamless access, high performance, and scalability, ultimately enhancing their analytical capabilities and decision-making processes. The adoption of AppStream 2.0 also aligns with Landmark’s commitment to providing innovative, user-friendly solutions.
As businesses modernize and migrate their SAP applications to the cloud, there is a growing need for scalable, secure, and cost-effective deployment solutions. Incorporating Microsoft 365 integration into Amazon WorkSpaces Pools simplifies and secures SAP GUI deployments. This approach ensures that users maintain access to essential tools such as Microsoft Office, which is critical for seamless SAP implementation. By delivering the SAP GUI desktop application through Amazon WorkSpaces, organizations can achieve greater security and ease of access while reducing management overhead. This integration exemplifies a balanced approach to modernization, blending legacy applications with modern infrastructure to achieve business goals.
At KeyCore, we specialize in helping businesses optimize their cloud solutions, including desktop and application streaming with AWS services. Our expertise in AWS WorkSpaces and AppStream enables us to tailor solutions that meet your specific business needs. Whether it’s managing Ubuntu WorkSpaces with Landscape, enhancing user experience with AppStream, or integrating SAP GUI deployments, KeyCore offers comprehensive support to ensure your organization reaps the full benefits of AWS cloud services. Visit our website to learn more about how we can assist with your cloud journey.
Read the full blog posts from AWS
- Learn more about managing Ubuntu Amazon WorkSpaces with Landscape
- Halliburton Landmark improves user experience with Amazon AppStream 2.0
- Simplify and secure your SAP GUI deployments with M365 integration on Amazon WorkSpaces Pools
AWS DevOps & Developer Productivity Blog
Identifying Inactive Users of Amazon Q Developer
The introduction of Amazon Q Developer has revolutionized productivity for software developers, thanks to the integration of Generative AI. However, many employees may be unaware of the full suite of tools available to them. This was evident when a customer deployed Amazon Q Developer across their organization. A significant number of developers were not utilizing these resources, primarily due to a lack of awareness. Identifying inactive users is crucial to ensure that all developers harness the complete potential of this innovative toolset. Implementing strategies to increase user awareness and engagement can significantly improve productivity and return on investment.
Leveraging AWS Cloud Control Provider for Pulumi
The AWS Cloud Control provider for Pulumi is now generally available, promising to streamline the adoption of AWS’s latest innovations. Pulumi, a modern infrastructure management platform, allows developers to manage AWS services through code. With AWS’s rapid expansion to more than 200 services, this integration enables faster, more efficient deployment of AWS workloads. Using Pulumi, developers can adopt cutting-edge AWS features with ease, reducing time to market and improving agility. This aligns well with businesses looking to maintain a competitive edge by leveraging the latest cloud technologies.
Accelerating Application Upgrades with Amazon Q Developer Agent
The Amazon Q Developer Agent for code transformation is a powerful tool for accelerating Java application upgrades. By leveraging Generative AI, it simplifies the upgrade process, allowing for quicker adaptation to new Java versions. Success stories highlight the agent’s ability to reduce time and effort involved in code transformation, making application upgrades more manageable. Organizations can benefit significantly by adopting this approach, ensuring their applications remain modern and efficient without the typical complexities of major upgrades.
Exploring Telemetry Events in Amazon Q Developer
Understanding developer interactions with Amazon Q Developer is essential for optimizing its use. By examining telemetry events and user-level data, organizations can gain insights into feature utilization and developer behaviors. This detailed view facilitates trend identification and performance enhancements, ultimately enhancing user experience. Access to comprehensive logs enables organizations to make data-driven decisions to improve adoption and efficiency of Amazon Q Developer.
Accenture’s Infrastructure Deployment with Amazon Q Developer
Accenture has effectively expedited its infrastructure deployment using Amazon Q Developer, highlighting the power of generative AI in managing Infrastructure as Code (IaC). Traditionally, creating and managing IaC templates is a complex and error-prone process. However, Amazon Q Developer simplifies this through automation and advanced tooling, significantly reducing time and potential for errors. This transformation in infrastructure management enables organizations like Accenture to deploy flexible and efficient cloud solutions swiftly, minimizing operational overhead and increasing productivity.
How KeyCore Can Assist
KeyCore offers expert guidance and services to help organizations fully utilize Amazon Q Developer and AWS Cloud Control provider for Pulumi. Our team can assist in identifying inactive users, optimizing telemetry event analysis, and streamlining application upgrades with the Amazon Q Developer Agent. Additionally, we provide strategic insights and hands-on support to expedite infrastructure deployment, ensuring your organization remains at the forefront of cloud innovation. Explore our professional and managed services to enhance your AWS cloud strategy at KeyCore.dk.
Read the full blog posts from AWS
- How to identify inactive users of Amazon Q Developer
- Use the latest AWS innovations with the new AWS Cloud Control provider for Pulumi
- Accelerate application upgrades with Amazon Q Developer agent for code transformation
- Exploring Telemetry Events in Amazon Q Developer
- Accenture Expedites Infrastructure Deployment with Amazon Q Developer
AWS for SAP
AWS Backup offers a comprehensive solution for managing backups across AWS services, specifically tailored for SAP HANA databases. This fully managed service simplifies the process of backing up and restoring data, ensuring that businesses can meet their disaster recovery and compliance needs effectively.
Centralized Backup Management
AWS Backup provides a centralized platform to automate and manage backups, eliminating the need for complex, manual backup processes. By utilizing this solution, businesses can streamline their backup strategies, reducing the risk of human error and ensuring consistency across backup operations.
Global Backup Capabilities
With AWS Backup, users gain access to robust global backup capabilities. This feature is particularly beneficial for organizations operating in multiple regions or across different AWS accounts. The ability to perform cross-region and cross-account backups ensures data availability, even in the event of regional outages, thus supporting comprehensive disaster recovery strategies.
Cost-Effective and Application-Consistent Solutions
One of the key advantages of AWS Backup is its cost-effectiveness. By providing an application-consistent backup and restore solution, AWS Backup helps minimize data loss and ensure the integrity of SAP HANA databases during the backup process. This consistent state enables smoother and more reliable data recovery.
How KeyCore Can Assist
KeyCore, a leading AWS consultancy in Denmark, can assist organizations in implementing AWS Backup for SAP HANA databases. With expertise in AWS services, KeyCore can provide tailored solutions to meet specific business needs. Whether it’s ensuring compliance, optimizing backup strategies, or enhancing disaster recovery plans, KeyCore offers professional and managed services to maximize the benefits of AWS Backup. By partnering with KeyCore, businesses can leverage expert guidance to protect their critical SAP HANA data effectively.
Read the full blog posts from AWS
- Perform Cross-Region, Cross-Account Backup and Restore of SAP HANA database using AWS Backup for SAP
Official Machine Learning Blog of Amazon Web Services
In the dynamic world of machine learning and AI, Amazon Web Services (AWS) continues to lead with innovative solutions and robust platforms. This collection of articles from the Official Machine Learning Blog of AWS showcases the diverse applications of AWS tools across industries, demonstrating both technical prowess and business impact.
Here’s a detailed look into each of the blog posts:
Create Your Fashion Assistant with Amazon Titan Models and Bedrock Agents
This article introduces the creation of a fashion assistant application using Amazon Titan models and Amazon Bedrock Agents. The solution delivers a personalized, multimodal conversational experience, enabling users to interact seamlessly with the fashion assistant. By leveraging these advanced models, the application can offer tailored fashion advice, enhancing user engagement and satisfaction through intelligent interactions.
Aviva’s Scalable MLOps Platform with Amazon SageMaker
Aviva’s implementation of a scalable, secure, and reliable MLOps platform is a case study in integrating DevOps best practices with machine learning. Using Amazon SageMaker and the AWS Enterprise MLOps Framework, Aviva has standardized model development, streamlined ML model deployment, and established consistent monitoring. This serverless solution ensures robust and efficient management of ML operations.
Visier Boosts Model Output with Amazon SageMaker
Visier harnessed Amazon SageMaker to increase their model output by tenfold. This migration accelerated their innovation cycles and opened new opportunities, highlighting the transformative capabilities of SageMaker in scaling AI solutions. The story exemplifies how AWS’s machine learning services can drive substantial gains in productivity and performance for data-driven companies.
Implement Safety Measures with Amazon Bedrock Guardrails
This post discusses using the ApplyGuardrail API to implement model-independent safety measures in generative AI setups. Whether deploying third-party or self-hosted large language models or managing a Retrieval Augmented Generation (RAG) architecture, these guardrails ensure the safety and reliability of AI outputs, providing critical safeguards in AI applications.
Schneider Electric Finds Business Opportunities with Amazon Bedrock
Schneider Electric collaborated with the AWS Generative AI Innovation Center to develop a solution on Amazon Bedrock that identifies high-potential business opportunities. By processing and evaluating RFPs, the solution directs high-value proposals to SMEs for expert analysis and recommendations, enhancing decision-making and strategic planning with AI-driven insights.
Operational Excellence with Generative AI Solutions on Amazon Bedrock
This article emphasizes achieving operational excellence when scaling generative AI solutions across different business lines. It addresses challenges like legal, compliance, operational complexities, and data privacy. By leveraging Amazon Bedrock, businesses can streamline these processes, ensuring robust and compliant AI deployments.
Enhancing Personalization in Amazon Q Business
Explore how Amazon Q Business utilizes personalization to boost workforce productivity by improving response relevance. By aligning use cases and user data, businesses can fully exploit Amazon Q Business’s capabilities, ensuring tailored and effective communications that drive better outcomes.
Best Practices for Generative AI with Amazon Bedrock Agents
This first part of a series guides on creating accurate and reliable generative AI applications. Amazon Bedrock Agents accelerate development by orchestrating multistep tasks using foundation models’ reasoning capabilities. This structured approach enhances the efficiency and effectiveness of AI processes.
AWS’s Leadership in the 2024 Gartner Magic Quadrant
AWS’s recognition as a Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms underscores its continuous innovation. Services like Amazon Bedrock and Amazon SageMaker empower organizations to unlock generative AI’s transformative potential, reaffirming AWS’s position as an industry frontrunner.
Building a Serverless Chatbot with Amazon Bedrock
This article details creating a fully serverless, voice-based contextual chatbot for individuals with disabilities using Amazon Bedrock and Anthropic Claude. This innovative approach ensures accessibility and user-friendly interactions, highlighting AWS’s commitment to inclusive technology solutions.
Access and Alternatives for Amazon Monitron
As Amazon Monitron closes to new customers, this post examines how existing customers can maintain access and explores alternatives. It provides strategic guidance for transitioning to other AWS services, ensuring continuity and innovation in industrial IoT solutions.
Importing Custom Models into Amazon Bedrock
This guide provides a step-by-step approach to fine-tuning a Mistral model using Amazon SageMaker and importing it into Amazon Bedrock as a custom model. This process enhances AI capabilities by enabling personalized model adaptations, driving more nuanced and targeted AI applications.
Leveraging AI21 Labs’ Task-Specific Models on AWS
Learn how to enhance business operations by using AI21 Labs’ Task-Specific Models (TSMs) on AWS. By subscribing through the AWS Marketplace and utilizing SageMaker JumpStart, businesses can easily integrate these models to augment their AI capabilities, driving efficiency and innovation.
At KeyCore, Denmark’s leading AWS consultancy, we specialize in guiding businesses through the complexities of AWS’s machine learning and AI offerings. Whether implementing Amazon SageMaker, deploying Amazon Bedrock solutions, or exploring new AI opportunities, KeyCore provides expert insights and customized solutions to help maximize your AWS investments. Our team is ready to support you in adopting these cutting-edge technologies, ensuring that your business remains at the forefront of innovation. Learn more about how KeyCore can transform your AI initiatives at KeyCore.dk.
Read the full blog posts from AWS
- Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents
- How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker
- Visier’s data science team boosts their model output 10 times by migrating to Amazon SageMaker
- Implement model-independent safety measures with Amazon Bedrock Guardrails
- How Schneider Electric uses Amazon Bedrock to identify high-potential business opportunities
- Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock
- Elevate workforce productivity through seamless personalization in Amazon Q Business
- Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1
- AWS recognized as a first-time Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
- Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock
- Maintain access and consider alternatives for Amazon Monitron
- Import a question answering fine-tuned model into Amazon Bedrock as a custom model
- Using task-specific models from AI21 Labs on AWS
Announcements, Updates, and Launches
Amazon DCV 2024.0 Release
The latest update to what was previously known as NICE DCV has been released as Amazon DCV version 2024.0. This high-performance remote protocol is designed to securely stream graphics-intensive applications from the cloud directly to user devices. With the new update, Amazon DCV includes support for the QUIC protocol, which is known for its ability to enhance streaming performance by reducing latency and improving security.
Additionally, the update brings client enhancements that provide users with a smoother and more efficient remote experience. Extended operating system support is another crucial feature of this release, broadening the compatibility of Amazon DCV with various systems. These updates make Amazon DCV an even more robust solution for businesses requiring reliable and secure access to high-performance applications from anywhere.
AWS Weekly Roundup – Latest Developments
The AWS Weekly Roundup offers a glimpse into the vibrant and ever-evolving world of Amazon Web Services. The latest roundup highlights key upgrades and new offerings such as the Jamba 1.5 family, Llama 3.2, and new Amazon EC2 C8g and M8g instances. These updates provide enhanced capabilities for users seeking increased performance and efficiency in their cloud environments.
One of the standout events was the Dach AWS Community Day, which featured a closing session by Viktoria Semaan. Such events foster a sense of community, offering opportunities for networking and learning, ensuring that participants can grow together and keep up with the latest technological advancements. Attending these events can be an invaluable experience for those seeking to deepen their understanding of AWS and its ecosystem.
How KeyCore Can Help
KeyCore, as a leading AWS consultancy in Denmark, is well-equipped to assist businesses in leveraging the latest AWS offerings such as Amazon DCV 2024.0 and the new EC2 instances. Our team of experts can help you implement these technologies to optimize your cloud infrastructure. Whether it’s enhancing remote access to graphics-intensive applications or upgrading to the latest EC2 instances, we provide both professional and managed services to ensure your AWS environment is robust, secure, and efficient. Visit our website at KeyCore to learn more about how we can support your AWS journey.
Read the full blog posts from AWS
- NICE DCV is now Amazon DCV with 2024.0 release
- AWS Weekly Roundup: Jamba 1.5 family, Llama 3.2, Amazon EC2 C8g and M8g instances and more (Sep 30, 2024)
Containers
Streamlined Deployment with AWS Neuron Helm Chart
The introduction of the AWS Neuron Helm Chart marks a significant advancement in simplifying the deployment of AWS Neuron components on Amazon Elastic Kubernetes Service (Amazon EKS). This new Helm Chart provides a seamless installation experience for Kubernetes artifacts necessary to run training and inference workloads on AWS Trainium and AWS Inferentia instances. By leveraging this chart, developers can efficiently manage complex deployments, reducing setup time and minimizing manual configurations. This enhancement is particularly beneficial for teams that rely on machine learning models and need robust infrastructure to support both training and inference processes.
Transitioning from AWS App Mesh to Amazon VPC Lattice
AWS has announced the discontinuation of AWS App Mesh, effective September 30th, 2026. Until this date, users will continue to have access to AWS App Mesh, including the ability to create new resources and onboard accounts using AWS CLI and CloudFormation. AWS will maintain support throughout this transition period, ensuring users have adequate time to migrate to alternative solutions like Amazon VPC Lattice. The shift to VPC Lattice offers a more integrated network service for managing microservices, providing enhanced performance and scalability over legacy mesh solutions.
Enhanced Cost Visibility with Kubecost 2.0 on Amazon EKS
In collaboration with Kubecost, AWS has introduced Kubecost 2.0 as part of an Amazon EKS-optimized bundle. This collaboration offers Amazon EKS users detailed cost insights into their Kubernetes resources, such as clusters, namespaces, and pods, at no additional cost. Kubecost 2.0 enables organizations to track resource usage and optimize their Kubernetes spending, providing actionable insights to drive cost efficiency. This tool empowers businesses to make data-driven decisions, ensuring they maximize the value of their cloud investment while maintaining control over their operational budgets.
How KeyCore Can Assist
KeyCore is positioned to offer expert guidance and hands-on support in leveraging these AWS technologies. Our team can assist with the deployment of Neuron Helm Charts on Amazon EKS, ensuring seamless integration and operation of machine learning workloads. Additionally, we can guide the transition from AWS App Mesh to Amazon VPC Lattice, helping to design and implement a strategy that minimizes disruption. For organizations aiming to optimize Kubernetes cost management, KeyCore’s expertise with Kubecost 2.0 integration on Amazon EKS can provide valuable insights and streamlined solutions. Partner with KeyCore to harness AWS’s full potential and achieve strategic cloud transformation.
Read the full blog posts from AWS
- Announcing AWS Neuron Helm Chart
- Migrating from AWS App Mesh to Amazon VPC Lattice
- AWS and Kubecost Collaborate to Deliver Kubecost 2.0 for Amazon EKS Users
Official Database Blog of Amazon Web Services
This blog entry provides summaries of recent articles from the Official Database Blog of Amazon Web Services, focusing on innovative solutions, technologies, and migration strategies. Each summary provides insights into the technical implementation and business benefits of these AWS offerings.
Analyzing Database Dependencies in Amazon RDS for Oracle
Understanding database dependencies is crucial in managing and optimizing Oracle databases in Amazon RDS. The article introduces an analysis tool designed to uncover interdependencies, such as object dependencies, constraints, and trigger references within database objects. It utilizes SQL queries on the Oracle database dictionary to extract these dependencies and leverages Excel filters to organize the data. This solution allows users to visualize and better manage their database schemas, ensuring efficient operations and data integrity.
Introduction to Real Estate Tokenization with AWS
Tokenization on AWS enables the digital transformation of real estate assets by leveraging blockchain technology. This process involves creating digital tokens that represent ownership rights of physical properties, simplifying property transfers. The article explores how tokenization can increase transaction speed, reduce costs, and enhance transparency and security in real estate transactions. By using AWS infrastructure, real estate professionals can streamline processes and embrace digital asset management.
Vector Search Capabilities for Amazon DynamoDB
Organizations are increasingly seeking advanced search and AI capabilities for their DynamoDB data. This article demonstrates how integrating Amazon OpenSearch Service and Amazon Bedrock can enable generative AI features without extracting or transforming data. Businesses can now conduct advanced vector searches directly on their DynamoDB datasets, resulting in deeper insights and more intelligent data-driven decisions.
Data Migration to Encrypted Amazon RDS Instances
BCM One collaborated with AWS to migrate data from an unencrypted Amazon RDS for PostgreSQL database to a new encrypted instance using AWS DMS. The article outlines the step-by-step migration process, highlighting the importance of encryption for data security. By utilizing AWS DMS, BCM One successfully enhanced data protection for their mission-critical voice applications, ensuring compliance and security.
Flexibility in Amazon ElastiCache Reserved Nodes
To help businesses optimize costs and capacity planning, Amazon ElastiCache now offers size flexibility in reserved nodes. This feature allows the reserved node discount to be applied across different node sizes, aligning with evolving workload demands. The article explains how this flexibility reduces the overhead of predetermined capacity planning, making it easier for businesses to right-size their clusters while enjoying cost savings.
Cross-Account Configuration for AWS DMS and Amazon S3
This article provides a comprehensive guide on setting up cross-account configurations between AWS DMS and Amazon S3 buckets. It covers the technical steps involved in configuring replication instances and establishing secure connections across different AWS accounts. This setup is crucial for organizations looking to implement decentralized data architectures and enhance data migration strategies across cloud environments.
KeyCore, as a leading AWS consultancy in Denmark, offers expert guidance and implementation services for these AWS solutions. Our team can assist businesses in analyzing database dependencies, adopting tokenization for digital transformation, and enhancing search capabilities with generative AI. We also provide secure migration strategies and optimize cloud resources with flexible reserved node configurations, ensuring efficient and cost-effective operations in AWS environments.
Read the full blog posts from AWS
- Analyze Amazon RDS for Oracle database object dependencies
- An introduction to real estate tokenization on AWS
- Vector search for Amazon DynamoDB with zero ETL for Amazon OpenSearch Service
- How BCM One migrated data from an unencrypted Amazon RDS for PostgreSQL database instance to a new encrypted instance using AWS DMS
- New – Size flexibility for Amazon ElastiCache reserved nodes
- Configure cross-account Amazon S3 as a source or target for AWS DMS
AWS for Games Blog
Using Generative AI for Esports Team Building
Amazon Web Services (AWS) has partnered with Riot Games to launch the VALORANT Champions Tour (VCT) Hackathon: Esports Manager Challenge. This initiative invites esports enthusiasts and developers to utilize the latest generative AI tools to create and enhance esports teams. Participants in the hackathon can explore innovative methods to assemble and develop superior VALORANT esports teams, leveraging the power of AI to analyze strategies, optimize player performance, and predict outcomes. This collaboration showcases AWS’s commitment to enhancing the gaming industry through cutting-edge technology.
Scalability Solutions with AWS and Heroic Labs’ Nakama
Handling large numbers of concurrent players is a common challenge for game developers, particularly during high-traffic events like game launches. Heroic Labs, an AWS partner, offers Nakama, a robust game backend service designed to meet this need. Code Wizards successfully load tested Nakama to accommodate two million concurrent players using AWS infrastructure, demonstrating its scalability and reliability. This capacity ensures that game developers can provide seamless experiences to players, even during peak times, without compromising on performance or user satisfaction.
How KeyCore Can Assist
KeyCore, as Denmark’s leading AWS consultancy, can provide expert guidance and support for gaming companies looking to leverage AWS technologies. Our team can assist in integrating AI solutions to optimize esports team management or in scaling backend systems like Nakama for massive player engagements. Whether through professional services or managed services, KeyCore ensures that gaming businesses maximize the benefits of AWS tools and technologies, enhancing both performance and strategic capabilities.
Read the full blog posts from AWS
- Using generative AI to build the ultimate VALORANT esports team
- How Code Wizards load tested Heroic Labs’ Nakama to two million concurrent players with AWS
Microsoft Workloads on AWS
Join AWS at PASS Data Community Summit 2024
AWS is thrilled to participate as a Platinum sponsor at the PASS Data Community Summit 2024. This engagement signals AWS’s ongoing commitment to empowering organizations through its advanced data and AI services. The event is pivotal for businesses seeking to migrate, optimize, and modernize their Microsoft SQL Server workloads.
By participating in the summit, AWS aims to showcase its capabilities in accelerating innovation while ensuring top-tier reliability, security, and cost efficiency. This commitment is crucial for organizations looking to leverage AWS’s powerful infrastructure to enhance their SQL Server environments.
AWS’s involvement in such communities highlights its dedication to supporting businesses in their digital transformation journeys, providing them not only with state-of-the-art technology but also with the expert guidance needed to fully realize their potential.
Optimizing Costs for Microsoft Workloads on AWS
The Microsoft on AWS Cost Optimization (MACO) recommendation guide is an essential resource for businesses aiming to maximize cost efficiency for their Microsoft workloads on AWS. The guide offers a collection of strategies that optimize both new and existing workloads, ensuring they are cost-effective and high-performing.
With foundational training and a suite of cost optimization techniques, the MACO guide equips organizations with the knowledge to build and automate workloads that align with their business objectives. It also provides reference architectures, facilitating the development of robust solutions tailored to specific business needs.
This guide is invaluable for businesses seeking to balance performance with cost-efficiency, ensuring their operations remain competitive and agile in a rapidly evolving market.
How KeyCore Can Assist
KeyCore is uniquely positioned to assist organizations in both participating effectively in events like the PASS Data Community Summit and implementing the strategies outlined in the MACO guide. Our deep expertise in AWS services and Microsoft workloads allows us to provide tailored solutions that optimize both performance and cost.
Whether your organization is looking to modernize its SQL Server workloads or implement cost optimization strategies, KeyCore offers the professional services and managed services needed to guide you every step of the way. By partnering with KeyCore, organizations can ensure they are leveraging AWS’s full potential, driving innovation, and achieving their business goals efficiently.
Read the full blog posts from AWS
Official Big Data Blog of Amazon Web Services
Building a Dynamic Rules Engine with Amazon Managed Service for Apache Flink
Amazon Managed Service for Apache Flink allows for the creation of a dynamic rules engine that is both flexible and efficient. This implementation enables users to create and update rules dynamically without the necessity to alter or redeploy the existing codebase of the rules engine. The article explains the architecture involved, key services utilized in the process, and provides detailed implementation insights to assist in constructing a custom rules engine. Additionally, the post offers an AWS Cloud Development Kit (AWS CDK) project for deploying this setup in a user’s AWS account, making it easier to adapt and scale the solution to specific needs.
Deprecation of Lake Formation’s Governed Tables Feature
The Governed Tables feature of AWS Lake Formation will be deprecated by December 31, 2024. This change is prompted by a shift in user preference towards open-source transactional table formats, such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats provide advanced features including ACID-compliant transactions, data compaction, and time travel capabilities. The deprecation aligns with AWS’s focus on supporting these open-source technologies, allowing users to benefit from their robust functionalities while leveraging cloud capabilities.
Enhancing Amazon Redshift Data Lake Queries with AWS Glue Data Catalog Column Statistics
Amazon Redshift has implemented several performance optimizations for data lake queries over the past year. These improvements span various aspects of the query engine, including rewrite, planning, scan execution, and the utilization of AWS Glue Data Catalog column statistics. The enhancements deliver significant performance gains, as evidenced by benchmarks using the TPC-DS 3 TB scale. Overall execution times have improved by 3x, with some queries achieving up to a 12x speed increase. This performance boost underscores Amazon Redshift’s capability to handle large-scale data analytics efficiently.
How KeyCore Can Assist
KeyCore, as the leading AWS consultancy in Denmark, offers extensive expertise in implementing and managing AWS services. Our team can assist in deploying dynamic rules engines using Amazon Managed Service for Apache Flink, ensuring seamless integration and operation. We also provide guidance on transitioning from Lake Formation Governed Tables to more robust open-source solutions, ensuring a smooth migration process. Additionally, our expertise in optimizing Amazon Redshift queries can help organizations harness enhanced performance capabilities, ensuring faster and more efficient data processing. Visit our website to learn more about how we can support your AWS projects.
Read the full blog posts from AWS
- Build a dynamic rules engine with Amazon Managed Service for Apache Flink
- Deprecation of Lake Formation’s Governed Tables Feature
- Accelerate Amazon Redshift Data Lake queries with AWS Glue Data Catalog Column Statistics
Networking & Content Delivery
Self-Service VPC Capabilities with Seamless Integrations
Provisioning standardized Virtual Private Cloud (VPC) patterns across an enterprise often presents challenges. Enterprises must ensure self-service capabilities while meeting security and compliance requirements. This process involves balancing the need for application teams to provision VPCs with the necessary oversight from central IT systems. Traditional approaches involve requesting VPCs through a centralized system, which can lead to bottlenecks and inefficiencies. To address these challenges, enterprises are moving towards self-service models that integrate seamlessly with existing systems and policies, providing a more efficient and scalable approach to network management.
Enhancing Network Observability in Modern Applications
In today’s cloud-centric world, maintaining network health and performance is paramount. Modern applications, characterized by distributed architectures and cloud-native services, require advanced network observability solutions. Traditional network monitoring tools are often inadequate for these complex environments. Organizations are now focusing on collecting high-quality network data that provides deeper insights into application performance and security. Advanced network observability solutions help teams identify potential issues before they impact users, ensuring a seamless user experience and maintaining robust security postures.
Adapting AWS WAF to Dynamic Threat Levels
Protecting web applications and APIs is a top priority for many AWS customers. AWS WAF (Web Application Firewall) is a key tool in achieving this protection. Customers often leverage a combination of managed rules and custom rules to create a comprehensive security strategy. This strategy involves regularly tuning web access control lists (web ACLs) to respond dynamically to changing threat levels. By adapting their security rules to meet current threat landscapes, organizations can effectively minimize the risk of unwanted traffic reaching their applications. This proactive approach ensures that web applications remain secure against evolving threats.
How KeyCore Can Assist
KeyCore provides expert guidance in implementing enterprise-grade VPC capabilities, enhancing network observability, and effectively using AWS WAF. Our professional services team helps design and deploy tailored solutions that ensure seamless integration with your existing infrastructure. We also offer managed services to continuously monitor and optimize your AWS environment, ensuring you meet security and compliance standards while maintaining network performance. With KeyCore’s expertise, organizations can confidently navigate the complexities of modern cloud computing.
Read the full blog posts from AWS
- Unlock self-service, enterprise-grade VPC capabilities with seamless integrations
- Network observability for modern applications
- How to dynamically adapt your response to changing threat levels using AWS WAF
AWS Compute Blog
Designing Serverless Integration Patterns for Large Language Models (LLMs)
In a collaborative post by Josh Hart, Principal Solutions Architect, and Thomas Moore, Senior Solutions Architect, an exploration into optimal integration patterns for serverless applications utilizing large language models (LLMs) is presented. These patterns focus on optimizing performance, efficient resource usage, and enhancing resilience when embedding generative AI capabilities into serverless architectures.
Large language models have become critical in powering a range of AI-driven applications. In serverless environments, leveraging LLMs requires careful consideration of architecture to avoid latencies and inefficient resource consumption.
One approach highlighted is the asynchronous processing of LLM requests. By using AWS Lambda and Amazon SQS (Simple Queue Service), requests can be queued, processed, and responded to without impacting the performance of the serverless application. This method ensures scalability and fault tolerance.
Another pattern involves the use of Amazon API Gateway to expose LLM functions as RESTful APIs. When combined with AWS Lambda, this setup can handle substantial loads and direct API requests to the appropriate LLM function. Developers can fine-tune these components to match specific performance requirements.
By implementing these serverless patterns, businesses can effectively incorporate LLMs into their cloud applications, enhancing capabilities without compromising on performance or scalability.
Monitoring Best Practices for Event Delivery with Amazon EventBridge
Authored by Maximilian Schellhorn, Senior Solutions Architect, and Michael Gasch, Senior Product Manager of EventBridge, this article dives into the intricacies of monitoring event delivery using Amazon EventBridge. EventBridge acts as a serverless event router that allows seamless communication between event producers and consumers through events.
Effective monitoring is crucial for ensuring the reliability and efficiency of event-driven architectures. One of the recommended best practices is setting up detailed CloudWatch metrics and alarms. These allow tracking of event delivery success rates and latencies, helping to identify potential bottlenecks or failures in real-time.
Another strategy involves the use of Amazon EventBridge’s built-in retries and dead-letter queues. These features ensure that no events are lost, even when consumption by targets is temporarily impaired. By leveraging these tools, developers can maintain application consistency and integrity.
Moreover, implementing structured logging using AWS Lambda Powertools can enhance observability. This practice aids in troubleshooting and provides insights into event patterns and execution flows.
By following these best practices, businesses can improve the reliability of their event-driven architectures, ensuring that critical application components communicate effectively and efficiently.
How KeyCore Can Help
KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to assist businesses in implementing these advanced AWS solutions. Our team of experts can tailor serverless architecture designs and effective monitoring strategies to your specific needs, ensuring that your cloud infrastructure is optimized for performance and resilience. Whether integrating LLMs into serverless applications or enhancing event-driven architectures with Amazon EventBridge, KeyCore provides the expertise and support to drive your success in the cloud.
Read the full blog posts from AWS
- Designing Serverless Integration Patterns for Large Language Models (LLMs)
- Monitoring best practices for event delivery with Amazon EventBridge
AWS for M&E Blog
The International Broadcasting Convention (IBC) is an annual event held each fall in Amsterdam, offering a vital platform for networking and discussions on media and entertainment (M&E). The 2024 edition of this convention was particularly noteworthy, with key discussions centered around cutting-edge topics such as artificial intelligence (AI), sustainability, and diversity, equity, and inclusion. Amazon Web Services (AWS) played an active role in the event, showcasing their involvement and innovations in these pivotal areas.
At IBC 2024, AWS fostered new connections while reconnecting with past collaborators, facilitating conversations that are integral to the evolution of the M&E industry. These discussions highlighted AWS’s commitment to advancing technology in ways that support a more sustainable and inclusive entertainment landscape. AWS’s presence at IBC underscores its dedication to leading industry innovation and driving progress in AI and ethical practices.
IMAX, renowned for its giant screens and immersive experiences, has partnered with AWS to revolutionize live streaming of sports events. This collaboration utilizes state-of-the-art AWS technology to deliver high-quality, buffer-free live streaming experiences globally. The innovation behind this collaboration ensures that streams maintain unparalleled viewing quality, even at a bitrate of under 20mbps.
This advancement allows audiences worldwide to enjoy immersive sports experiences on IMAX screens, enhancing the live event viewing experience by leveraging AWS’s robust cloud infrastructure. The partnership illustrates how AWS’s cloud solutions can optimize content delivery networks, ensuring seamless streaming experiences and paving the way for future developments in live event broadcasting.
How KeyCore Can Help
As a leading AWS consultancy in Denmark, KeyCore is uniquely positioned to assist businesses in the M&E industry. Our expertise spans across AWS solutions, enabling us to support organizations in implementing robust streaming architectures and leveraging AI for enhanced media production and distribution. KeyCore can help businesses navigate sustainability challenges and foster diversity and inclusion through strategic AWS deployments.
Our services include both professional and managed services, tailored to meet the specific needs of the M&E industry. Whether businesses are looking to adopt AWS for the first time or optimize their existing AWS infrastructure, KeyCore offers the guidance and support needed to achieve technological and business objectives.
Read the full blog posts from AWS
AWS Storage Blog
Migration to Amazon FSx for Windows File Server: Cost Optimization Strategies and Automation
Businesses increasingly depend on file server infrastructure for storing, managing, and sharing mission-critical data. However, maintaining and scaling these environments is often complex and resource-intensive. As customer demands and data volumes grow, organizations find themselves needing to modernize their file server infrastructure. Migrating to Amazon FSx for Windows File Server offers a robust solution, providing both scalability and ease of management.
Cost Optimization Strategies
Amazon FSx for Windows File Server helps organizations optimize costs through pay-as-you-go pricing, eliminating the need for over-provisioning. It offers cost-effective storage options, including SSD and HDD storage types, which can be tailored to fit the workload requirements. By leveraging AWS’s global infrastructure, businesses can reduce operational costs associated with on-premise hardware and maintenance.
Automation Benefits
Automation plays a crucial role in simplifying file server management. With Amazon FSx, businesses can automate backup, recovery, and scaling processes, ensuring data integrity and availability. By utilizing AWS CloudFormation templates, organizations can deploy and configure file systems quickly, enhancing operational efficiency and reducing manual intervention.
How KeyCore Can Help
KeyCore offers expert guidance and support throughout the migration process to Amazon FSx for Windows File Server. Our team of AWS specialists can help design a cost-effective and scalable infrastructure, tailored to meet specific business needs. Leveraging our professional and managed services, clients can achieve seamless migration and optimal performance of their file server environments.
How Aura Improves Database Performance Using Amazon S3 Express One Zone for Caching
Aura has revolutionized the concept of connected photo frames by integrating social aspects. By creating an exclusive space for sharing photos with friends and family via the Aura app, users can effortlessly add and enjoy photos and videos on Wi-Fi connected frames. To support this innovative product, Aura enhances database performance by utilizing Amazon S3 Express One Zone for caching.
Database Performance Enhancement
By leveraging Amazon S3 Express One Zone for caching, Aura can significantly improve data retrieval times and overall user experience. This approach allows Aura to cache frequently accessed data closer to users, reducing latency and enhancing application performance. The integration with Amazon S3 also ensures high availability and durability of cached data.
Business Value
Optimizing database performance not only enhances user satisfaction but also provides Aura with the scalability needed to support growth. The cost-effective nature of Amazon S3 Express One Zone further ensures that Aura can maintain competitive pricing for their products while delivering a high-quality user experience.
How KeyCore Can Assist
KeyCore’s AWS consultancy services can assist businesses like Aura in implementing Amazon S3-based caching strategies. By leveraging our expertise, organizations can optimize their data architecture to achieve better performance and cost efficiency. Our team can help design and deploy solutions that align with business objectives, ensuring that clients can maximize the benefits of AWS technologies.
Read the full blog posts from AWS
- Migration to Amazon FSx for Windows File Server: cost optimization strategies and automation
- How Aura improves database performance using Amazon S3 Express One Zone for caching
AWS Architecture Blog
Banfico, a London-based FinTech company, offers leading solutions for Open Banking regulatory compliance. These solutions are utilized by over 185 financial institutions and FinTech companies to streamline compliance processes and drive innovation in banking. This initiative aligns with the EU’s revised Payment Services Directive (PSD2), which allows banks to leverage application programming interfaces (APIs) to provide secure and seamless services.
Building a PSD2 Compliance Solution on AWS
To construct their compliance solution, Banfico harnessed the extensive capabilities of AWS. They utilized AWS services to ensure scalability, security, and efficiency in their operations. Key AWS services included Amazon API Gateway for creating, publishing, and maintaining secure APIs, and AWS Lambda for executing code in response to triggers without provisioning or managing servers. This serverless architecture not only streamlined Banfico’s operations but also facilitated quick scalability to accommodate growing demands.
Enhancing Security and Compliance
Security is a critical component of Open Banking solutions. Banfico leveraged AWS Identity and Access Management (IAM) to manage permissions and access to AWS resources securely. Additionally, AWS’s compliance with global security standards helped Banfico meet stringent regulatory requirements, ensuring their solution is both robust and compliant. The use of AWS CloudTrail provided comprehensive logging and monitoring of API calls, enhancing transparency and accountability in the system.
Business Value and Future Growth
By building their PSD2 compliance solution on AWS, Banfico enabled financial institutions to quickly adapt to regulatory changes, thereby enhancing their competitive edge. This flexibility and the ability to innovate rapidly are crucial in the ever-evolving financial sector. The scalability and reliability of AWS infrastructure support Banfico’s mission to deliver continuous innovation and service excellence, positioning their clients for future growth.
How KeyCore Can Assist
KeyCore, as a leading AWS consultancy in Denmark, can offer invaluable support in implementing AWS-based compliance solutions similar to Banfico’s. KeyCore’s expertise in AWS services ensures that companies can build efficient, secure, and compliant solutions tailored to their specific needs. Whether it’s optimizing existing systems or architecting new solutions, KeyCore provides the technical know-how and strategic guidance to help organizations thrive in a regulated environment.
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AWS Partner Network (APN) Blog
Badou Intelligent Technology Co., Ltd.: Unlocking Business Productivity with AWS
Badou Intelligent Technology Co., Ltd. stands as a pioneer in AI-driven innovation, specializing in enterprise-level intelligent interaction products. By harnessing the power of large language models, natural language processing, and knowledge graphs, Badou crafts customized intelligent knowledge interaction platforms for businesses. These platforms are built on AWS, allowing enterprises to boost productivity by leveraging advanced chatbot capabilities. AWS provides the scalability and robust infrastructure necessary to support these comprehensive solutions, enabling Badou to drive significant improvements in business operations. The integration of AI with AWS positions Badou to deliver highly tailored and efficient solutions, empowering companies to revolutionize their customer interactions and operational efficiency.
LogicMonitor: Enhancing Observability Across Hybrid and Multicloud Environments
LogicMonitor’s SaaS platform offers a seamless way to achieve comprehensive observability in hybrid and multicloud environments. With its agentless, automated performance monitoring, LogicMonitor covers a wide spectrum of AWS services and workload environments. This capability is crucial for organizations looking to streamline performance management and optimize resource use across cloud platforms. LogicMonitor aids cloud migration efforts by providing insights and recommendations, promoting efficient use of cloud resources and cost optimization. By integrating these capabilities, companies can ensure their IT environments are not only efficient but also cost-effective, maximizing their AWS investment.
Hyperautomation with Hyperscience and AWS for Insurance
Insurance companies can now achieve hyperautomation in document processing with the integration of Hyperscience Hypercell and AWS’s Generative AI services such as Amazon Bedrock. This powerful combination allows insurance firms to develop turnkey automation solutions, enhancing the value derived from existing technology investments. Hyperscience’s deep integration with AWS services facilitates a streamlined approach to document processing, thus reducing manual tasks and improving accuracy. This advancement empowers insurance organizations to enhance productivity and deliver better service to their clients, all while maintaining a competitive edge in the industry.
Empowering Firefighter Safety with Kyndryl and AWS IoT Solutions
Kyndryl, in collaboration with AWS, has introduced an innovative IoT solution aimed at bolstering firefighter safety amid increasing wildfire and urban fire risks. By deploying wearable devices equipped with environmental sensors, the solution monitors toxin exposure and health vitals in real-time. This data is transmitted to an AWS IoT/Data platform where it is analyzed and displayed on a command dashboard. The dashboard provides a color-coded status, enabling fire incident commanders to make well-informed decisions regarding firefighter health, positioning, and evacuation needs. This award-winning solution not only enhances safety and situational awareness but also simplifies insurance claims processing and can be adapted for various industrial and manufacturing settings, further extending its usability and benefits.
How KeyCore Can Assist
KeyCore is uniquely positioned to support organizations in leveraging AWS services to enhance their business processes. By providing expert guidance and tailored solutions, KeyCore can help enterprises integrate AI-driven chatbots like Badou’s, optimize observability with LogicMonitor, or implement hyperautomation using AWS and Hyperscience. Additionally, KeyCore is capable of deploying IoT solutions similar to the Kyndryl-AWS firefighter safety platform, ensuring safety and efficiency in high-risk environments. Our expertise in AWS allows us to deliver customized solutions that maximize return on investment and operational excellence.
Read the full blog posts from AWS
- Badou Unlocks Business Productivity by Building Enterprise Intelligent Chatbot Capabilities
- Scaling hybrid and multicloud observability with LogicMonitor
- Achieve Hyperautomation for Insurance Document Processing with Hyperscience and AWS
- Empowering Firefighter Safety at the Edge
AWS HPC Blog
Large Language Models (LLMs) are transforming the landscape of generative agent-based simulations, providing a new frontier for more sophisticated and dynamic modeling. The integration of LLMs into these simulations enhances the capability to represent complex agent behaviors and interactions with greater realism and depth.
Enhancing Simulation Accuracy
LLMs allow for the incorporation of natural language processing capabilities in simulations, which can lead to more accurate and nuanced behavior modeling. This is particularly useful in scenarios requiring detailed human-like interactions, such as social dynamics or market trends. By utilizing LLMs, simulations can generate responses and actions that mimic real-world complexities, making the models more robust and predictions more reliable.
Scalability and Flexibility
The adaptability of LLMs in handling diverse datasets and scenarios makes them ideal for scaling agent-based simulations. They can manage large amounts of data and accommodate changes without significant reprogramming. This flexibility is crucial for businesses and researchers who need scalable solutions to simulate vast environments or rapidly changing conditions.
Practical Applications
Incorporating LLMs into agent-based simulations opens new possibilities across various industries. For instance, urban planners can simulate city growth and traffic patterns, while economists might use them to forecast financial trends. The improved precision and adaptability provided by LLMs allow for deeper insights and more effective decision-making.
How KeyCore Can Help
KeyCore is specialized in leveraging AWS’s powerful cloud infrastructure to implement advanced simulations using LLMs. With extensive experience in AWS services, KeyCore can assist organizations in designing, deploying, and optimizing agent-based simulations tailored to their unique needs. By providing expert guidance and managed services, KeyCore ensures that clients can harness the full potential of LLMs to enhance their simulation capabilities and achieve strategic objectives.
Read the full blog posts from AWS
AWS Cloud Operations Blog
Amazon CloudWatch Internet Monitor offers a comprehensive solution for monitoring internet traffic, providing organizations with near-continuous measurements of internet availability and performance metrics. Tailored to the specific needs of an organization’s AWS workload, Internet Monitor enables businesses to gain insights into internet performance over time and receive timely alerts for any potential issues or health events that could impact the end-users’ experience.
The enhanced dashboard and latency suggestions feature in Amazon CloudWatch Internet Monitor allows for a more in-depth analysis of internet performance metrics. These enhancements help organizations identify trends, potential bottlenecks, and any latency concerns that could affect service delivery. By leveraging these insights, businesses can proactively address network issues, ensuring optimal performance and maintaining customer satisfaction.
Business Implications
Utilizing Amazon CloudWatch Internet Monitor can lead to improved customer experiences by ensuring that services remain accessible and perform optimally. By identifying and addressing network issues proactively, organizations can minimize downtime and enhance service reliability. This capability is crucial for businesses that rely heavily on high availability and performance to maintain their competitive edge.
How KeyCore Can Assist
KeyCore offers expert guidance and implementation support for businesses looking to leverage Amazon CloudWatch Internet Monitor. Our team can assist in configuring the service to align with specific organizational needs, ensuring optimal setup and utilization of monitoring capabilities.
Ensuring the reliability and resilience of applications is vital for business continuity and customer satisfaction. AWS Fault Injection Service Scenarios Library provides a robust framework for implementing chaos engineering practices, allowing businesses to test and improve the reliability of their systems. As highlighted in the AWS Well-Architected Framework’s Reliability Pillar, testing plays a critical role in maintaining application robustness.
Chaos engineering involves intentionally injecting faults into a system to identify weaknesses and assess how the system responds under stress. AWS Fault Injection Service Scenarios Library offers predefined scenarios that help organizations start their chaos engineering journey by simulating real-world failures and testing their application’s response.
Business Implications
By adopting chaos engineering practices, businesses can enhance their system’s resilience, leading to improved operational continuity and reduced risk of unexpected outages. This proactive approach to identifying and mitigating potential failure points ensures that applications remain reliable under various conditions, ultimately contributing to better customer experiences.
How KeyCore Can Assist
KeyCore provides comprehensive support in implementing chaos engineering practices using AWS Fault Injection Service. Our experts help design and execute customized test scenarios, enabling businesses to strengthen their systems’ reliability and resilience.
Managing access to AWS accounts efficiently is a common challenge for organizations using collaboration tools like Microsoft Teams and Slack. AWS Chatbot, combined with AWS Organizations, offers a streamlined solution for managing AWS applications from chat platforms, enhancing DevOps teams’ ability to operate effectively.
AWS Chatbot facilitates real-time monitoring, troubleshooting, and management of AWS environments directly from chat channels. This capability allows teams to quickly address issues, collaborate more efficiently, and maintain operational continuity without the need to switch between multiple platforms.
Business Implications
The integration of AWS Chatbot with collaboration tools improves operational efficiency by reducing response times and enhancing team collaboration. This streamlined approach to AWS management supports businesses in maintaining high levels of productivity and operational excellence.
How KeyCore Can Assist
KeyCore offers expertise in setting up and optimizing AWS Chatbot integrations with Microsoft Teams and Slack. Our team provides guidance on configuring AWS Chatbot to meet specific organizational requirements, ensuring that businesses maximize the benefits of ChatOps for their AWS environments.
Read the full blog posts from AWS
- Enhanced dashboard, latency suggestions in Amazon CloudWatch Internet Monitor
- Bootstrap your chaos engineering journey with AWS Fault Injection Service Scenarios Library
- Managing access to AWS accounts from Microsoft Teams and Slack at scale using AWS Organizations and AWS Chatbot
AWS for Industries
Building Generative AI Applications for Digital Inclusion
The “Breaking Barriers Initiative” underscores the potential of generative AI to foster digital inclusion. With services like Amazon Bedrock and Amazon Q Developer, creating high-fidelity code and applications based on foundational models has become increasingly accessible. This advancement presents a significant opportunity to address and overcome existing digital barriers. The initiative aims to leverage these technologies responsibly, enhancing accessibility and usability across diverse sectors. Generative AI can democratize digital tools, enabling wider participation and innovation. By prioritizing digital inclusion, organizations can unlock new possibilities for underserved communities and drive equitable growth.
T-Mobile US, Inc. Modernizes Sales Commissions with AWS
T-Mobile US, Inc., a leading telecom carrier, faced challenges with their existing compensation calculation system, which lacked agility and scalability. To address these issues, T-Mobile transitioned to modern AWS solutions, enabling them to better meet daily sales level agreement expectations for frontline employees and stakeholders. The shift from a legacy SaaS application to AWS provided T-Mobile with a flexible, scalable platform that improved operational efficiency. Now, T-Mobile can swiftly adapt to market changes, ensuring their compensation system aligns with business growth. This modernization highlights the critical role of cloud solutions in transforming business processes and enhancing competitive advantage.
Healthcare Industry Guide to AWS re:Invent 2024
The 2024 AWS re:Invent conference will be a pivotal event for the healthcare industry, highlighting innovations at the intersection of health and technology. Scheduled for December 2-6, 2024, in Las Vegas, the event will showcase breakthroughs in generative AI, machine learning, and advanced data strategies. Industry pioneers and AWS experts will present use cases illustrating the transformative impact of these technologies. The conference provides an invaluable platform for healthcare leaders to explore cutting-edge solutions that enhance patient care, streamline operations, and drive innovation. Participants can expect to gain insights into leveraging AWS technologies to navigate the evolving healthcare landscape.
Enhancing Supply Chain Efficiency with Xemelgo’s RFID Platform on AWS
Amidst ongoing supply chain disruptions, Xemelgo’s RFID platform, built on AWS, offers a solution to enhance supply chain efficiency and mitigate production delays. The COVID-19 pandemic exposed vulnerabilities in global supply chains, prompting manufacturers to seek resilient systems. According to McKinsey’s 2023 Supply Chain Pulse Survey, significant disruptions were reported by nearly all respondents. Xemelgo’s AWS-powered platform provides real-time visibility and data-driven insights, enabling manufacturers to optimize operations and respond proactively to challenges. This approach supports continuous improvement and strategic decision-making, ultimately leading to more resilient and adaptive supply chains.
How KeyCore Can Help
KeyCore, as Denmark’s premier AWS consultancy, is uniquely positioned to assist organizations in leveraging AWS technologies across industries. Whether it’s developing generative AI applications for digital inclusion, modernizing legacy systems, or optimizing supply chains, KeyCore provides tailored solutions to meet specific business needs. Our expertise ensures seamless integration and maximizes the value of AWS services, empowering organizations to achieve their strategic goals. Reach out to KeyCore to explore how we can support your journey with AWS.
Read the full blog posts from AWS
- Introducing Breaking Barriers Initiative: Building generative AI applications for digital inclusion
- T-Mobile US, Inc. Modernizes Sales Commissions with AWS
- Healthcare Industry Guide to AWS re:Invent 2024
- Optimizing supply chain efficiency with Xemelgo’s RFID platform built on AWS
The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
Amazon Web Services (AWS) has made several significant announcements and updates in the realm of security, identity, and compliance. These updates are designed to enhance user experience across different languages, address cryptographic challenges, leverage AI capabilities, and improve data handling and security measures.
SOC 1 Report Now Available in Multiple Languages
AWS has expanded the availability of its System and Organization Controls (SOC) 1 report by translating it into Japanese, Korean, and Spanish. This move aims to better serve AWS’s diverse customer base by making important compliance documentation more accessible. Customers, regulators, and stakeholders can now review these controls in their preferred languages, facilitating easier compliance verification and enhancing trust in AWS’s audit and attestation programs.
Prioritizing Security During Post-Quantum Cryptographic Migration
AWS is actively focusing on security, privacy, and performance, particularly as it relates to the emerging challenges of post-quantum cryptography. With the potential advent of quantum computing, current cryptographic systems may become vulnerable. AWS is preparing for this by introducing quantum-resistant key exchanges in common transport protocols. This proactive approach ensures that both AWS services and customer-deployed applications remain secure against future cryptographic threats.
Layered Authorization for Amazon Bedrock Agents Enhances Data Privacy
The integration of generative AI into applications offers numerous benefits but also introduces new security considerations. To address these, AWS has enhanced its security model through layered authorization for Amazon Bedrock Agents. This approach allows for more granular control over data access and processing, ensuring that customer data privacy is maintained even as AI capabilities are leveraged for improved user experiences and operational efficiencies.
Proof of Concept for Automated Discovery with Amazon Macie
Amazon Macie is a critical tool for AWS customers seeking to classify and protect sensitive data in Amazon S3. By conducting a proof of concept, organizations can evaluate and test Macie’s capabilities to ensure effective data protection strategies are in place. This process involves using Macie to automatically discover and monitor sensitive data, providing enhanced visibility and control over data security.
Network Firewall Features Keep Firewall Rules Updated
AWS Network Firewall is a managed service designed to simplify the deployment of crucial network protections within virtual private clouds (VPCs). It provides automatic scaling with traffic and allows for the definition of fine-grained firewall rules. This service is instrumental in maintaining up-to-date security configurations, thereby safeguarding production environments against evolving threats.
Implementing Relationship-Based Access Control
With Amazon Verified Permissions and Amazon Neptune, AWS offers a relationship-based access control mechanism. This approach decouples authorization from application logic by managing access control decisions separately. By defining authorization rules as policies, AWS enhances security posture and flexibility for custom applications, ensuring that only authorized users can access specific resources.
In summary, AWS’s latest updates in security and compliance focus on expanding accessibility, preparing for future cryptographic challenges, leveraging AI, enhancing data privacy, and maintaining robust network and access control measures. These initiatives are crucial for building customer trust and ensuring security in a rapidly changing technological landscape.
How KeyCore Can Help
As Denmark’s leading AWS consultancy, KeyCore can provide expert guidance and support in implementing these AWS security and compliance measures. Our professional services team can assist with AWS SOC report analysis and compliance, help navigate post-quantum cryptographic strategies, and optimize AI integrations. Additionally, our managed services can assist in automating data discovery with Amazon Macie, maintaining network firewall configurations, and deploying relationship-based access control with Amazon Verified Permissions and Amazon Neptune. Contact KeyCore to enhance your AWS security posture and ensure compliance with evolving standards.
Read the full blog posts from AWS
- Summer 2024 SOC 1 report now available in Japanese, Korean, and Spanish
- Customer compliance and security during the post-quantum cryptographic migration
- Enhancing data privacy with layered authorization for Amazon Bedrock Agents
- How to perform a proof of concept for automated discovery using Amazon Macie
- Keep your firewall rules up-to-date with Network Firewall features
- How to implement relationship-based access control with Amazon Verified Permissions and Amazon Neptune
Front-End Web & Mobile
Introduction to Building a Generative AI Travel Assistant App
This article explores the creation of a travel assistant app that leverages AWS technologies to deliver a personalized travel experience. Utilizing Amazon Bedrock and AWS Amplify, the app suggests popular attractions, local experiences, and hidden gems tailored to the user’s chosen destination. The integration of these AWS services enables developers to craft an efficient, scalable application with a focus on personalized content delivery.
Using AWS Amplify and Amazon Bedrock
AWS Amplify Gen 2 provides a TypeScript-based, code-first developer experience, streamlining the development process for building a robust front-end. This approach offers flexibility and control, allowing developers to create sophisticated web and mobile applications. Amazon Bedrock, on the other hand, supports the generative AI capabilities required to tailor recommendations based on user input and preferences. By combining these tools, developers can enhance user engagement through unique and personalized travel itineraries.
Application Features and Benefits
The travel assistant app is designed to enrich the user’s travel planning process by providing customized suggestions. Whether the user is seeking popular tourist spots or hidden local treasures, the app delivers curated content that enhances their travel experience. This level of personalization not only improves user satisfaction but also increases engagement and app retention rates. By using AWS’s scalable infrastructure, the app can handle varying user demands and ensure reliable performance.
How KeyCore Can Assist
KeyCore, as a leading AWS consultancy in Denmark, offers expertise in leveraging AWS services like AWS Amplify and Amazon Bedrock for creating innovative applications. Our professional and managed services can support businesses in deploying scalable solutions tailored to specific needs. Whether it’s advice on architecture, implementation, or optimization, KeyCore can ensure that your travel assistant app is seamless, efficient, and user-friendly.
Read the full blog posts from AWS
AWS Contact Center
Enhancing Customer Experience with Amazon Connect
Amazon Connect is revolutionizing the way contact centers manage customer interactions by providing advanced tools for routing and self-service. These enhancements utilize Amazon Connect Customer Profiles to streamline the process, enabling contact centers to access and utilize customer data more efficiently.
Leveraging Interactive Voice Response (IVR) Systems
Interactive Voice Response (IVR) systems have long been a staple in contact centers for call routing and self-service automation. However, the integration of customer data from third-party systems and Customer Data Platforms (CDPs) often presents challenges. Typically, accessing this data requires complex API calls and custom coding, demanding a high level of technical expertise. Amazon Connect simplifies this process by integrating with Customer Profiles, reducing the need for intricate custom solutions.
Amazon Connect Customer Profiles
Customer Profiles in Amazon Connect allows for seamless integration of customer data, enhancing the ability to deliver personalized experiences. By consolidating data from various sources, contact centers can provide agents with a comprehensive view of customer interactions, leading to faster resolution times and improved customer satisfaction. This integration is crucial for businesses seeking to offer superior service while optimizing their contact center operations.
AWS re:Invent 2024: A Hub for Learning and Innovation
AWS re:Invent 2024 is set to be an essential gathering for professionals eager to enhance their customer experience strategies using Amazon Connect. Scheduled for December 2-6 in Las Vegas, this event will feature a variety of sessions, including breakout discussions, chalk talks, and workshops. Attendees will have the opportunity to learn from AWS experts and peers, gaining practical insights into leveraging Amazon Connect to its fullest potential.
How KeyCore Can Assist
KeyCore is at the forefront of integrating AWS solutions, offering both professional and managed services to optimize your contact center operations. Our expertise with Amazon Connect ensures seamless integration of Customer Profiles, empowering your business to deliver exceptional customer experiences. Whether you’re looking to streamline your IVR systems or maximize the benefits of AWS technologies, KeyCore provides the support and guidance necessary to achieve your goals. Visit KeyCore to learn more about how we can transform your contact center strategy.
Read the full blog posts from AWS
- Improve routing and self-service using Amazon Connect Customer Profiles and step-by-step guides
- re:Invent 2024: Your guide to customer experience with Amazon Connect
Innovating in the Public Sector
Utilizing AWS Wickr for Secure Healthcare Interactions with Generative AI
Amazon Web Services (AWS) Wickr offers end-to-end encrypted messaging and collaboration services designed for secure, private, and compliant communication. This solution is particularly beneficial in the healthcare sector, where sensitive information must be protected. By integrating AWS Wickr with an open-source project, the AWS GenAI Chatbot, healthcare workers can securely interact with generative AI backend systems. This architecture ensures that healthcare providers maintain the confidentiality and integrity of their communications while leveraging AI to enhance patient care.
Enhancing Public Sector Engagement with AI-Powered Chatbots
Generative AI has the potential to transform constituent engagement for state and local governments. With Amazon Lex, government agencies can create sophisticated conversational interfaces for voice and text interactions. This solution allows for seamless omnichannel experiences with pre-built integrations to contact center solutions. By only paying for speech and text requests, government entities can innovate without incurring unnecessary costs. This AI-driven approach not only improves service delivery but also increases constituent satisfaction by providing quick and efficient responses.
Reimagining Federal Financial Operations with AI
In a recent AWS Behind the Cloud vodcast, Olivia Peterson, AWS’s director of federal financial sales, shared insights on how technology is enhancing federal financial agencies. Generative AI offers new opportunities for federal agencies to improve efficiencies and combat financial crime. Peterson emphasized a customer-centric approach and creating supportive work environments, highlighting the importance of leveraging technology to fulfill governmental missions effectively.
Canadian Cybersecurity Innovation on AWS Marketplace
The Canadian Centre for Cyber Security has introduced Assemblyline, an open-source malware analysis tool, to the AWS Marketplace. This tool supports cybersecurity efforts by providing powerful detection and analysis capabilities. As part of Canada’s National Cyber Security Strategy, Assemblyline is instrumental in safeguarding critical cyber assets, including federal systems. This innovation exemplifies how AWS Marketplace can serve as a platform for distributing cutting-edge cybersecurity solutions.
AWS’s Commitment to the Cancer AI Alliance
AWS has pledged $10 million to support the Cancer AI Alliance (CAIA), a collaborative effort with institutions like the Fred Hutch Cancer Center. This initiative focuses on leveraging AI for cancer research, with AWS contributing significant funding toward the $40 million initiative. The alliance aims to drive breakthroughs in cancer treatment and research, showcasing AWS’s dedication to healthcare advancements through technological partnerships.
The Global Push for Digital Public Infrastructure
Digital public infrastructure (DPI) is critical for modernizing government interactions and ensuring secure, efficient societal operations. Countries worldwide are investing in DPI to facilitate identity verification, transactions, and data sharing. This digital backbone enables responsive governance, increases economic participation, and fosters innovation. Governments leveraging DPI are witnessing enhanced service delivery and increased citizen engagement.
Building a Bioinformatics Workbench with AWS HealthOmics
In collaboration with Singapore General Hospital, AWS HealthOmics has developed a secure, low-code bioinformatics workbench for researchers. This platform allows bioinformaticians to perform analyses on a compliant cloud infrastructure, supporting genomic and biological data insights. Key components of HealthOmics facilitate data storage, querying, and analysis, ultimately driving research advancements in the life sciences sector.
Boosting Government Efficiency with AI
Retrieval-Augmented Generation (RAG) and large language models (LLMs) are revolutionizing how state and local governments operate. As citizens demand faster, accurate information, these AI technologies offer transformative solutions. RAG and LLMs enable governments to streamline services and improve operational efficiency, aligning with the evolving expectations of constituents.
Transformative AWS Solutions for Public Sector Challenges
Public sector industries face numerous operational challenges that can be mitigated through innovative AWS solutions. By implementing tailored use cases, organizations can enhance efficiencies, reduce risks, and gain competitive advantages. AWS offers a range of solutions designed to address specific industry needs, driving transformative change across the public sector.
Cutting Transcription Costs with AWS AI/ML
The Contra Costa County District Attorney’s Office partnered with AWS and ScaleCapacity to automate transcription processes, reducing costs by 60%. This AI/ML-driven solution offers accurate, efficient transcription with features like timestamping and speaker identification. By automating transcription, legal departments can improve turnaround times and meet the demand for quick, reliable information processing.
How KeyCore Can Help
As an advanced AWS consultancy, KeyCore is well-equipped to assist public sector organizations in implementing these innovative solutions. Our team can provide expert guidance in integrating AWS technologies to enhance operational efficiencies and drive technological transformation. Whether it’s secure communication with AWS Wickr, deploying AI-powered chatbots, or leveraging digital public infrastructure, KeyCore is committed to helping clients achieve their strategic objectives. Visit KeyCore’s website to learn more about our offerings.
Read the full blog posts from AWS
- How to use AWS Wickr to enable healthcare workers to interact with generative AI
- Improving constituent experience using AWS-powered generative AI chatbots
- Reimagining the US federal financial space with generative AI: Insights from AWS executive Olivia Peterson
- Canadian Centre for Cybersecurity’s Assemblyline brings powerful malware analysis to AWS Marketplace
- AWS commits $10M to support new Cancer AI Alliance with the Fred Hutch Cancer Center
- Digital public infrastructure is high priority for governments worldwide
- Building a secure and low-code bioinformatics workbench on AWS HealthOmics
- Demystifying AI: How RAG boosts efficiency in state and local government departments
- AWS solutions for use cases across public sector industries
- Reducing transcription costs by 60% using AWS AI/ML services
The Internet of Things on AWS – Official Blog
Building Smart Industrial Machines with AWS: A Comprehensive Guide
In the modern industrial arena, manufacturers are innovating to enhance the capabilities of machines such as wind turbines, robots, and mining equipment. By leveraging AWS technologies, these machines are interconnected, granting companies unparalleled insight into their operations. This connectivity not only optimizes efficiency but also opens up new revenue streams through premium services and predictive maintenance, contributing to smarter and more effective operations.
AWS provides a robust platform for this transformation. With AWS IoT services, industrial machines can be easily connected and managed on a large scale. This connectivity enables real-time monitoring, which is crucial for predictive analytics, reducing downtime, and improving maintenance schedules. By utilizing AWS’s cloud capabilities, manufacturers can deploy updates and enhancements seamlessly, ensuring that their machinery remains at the cutting edge of technology.
Furthermore, AWS offers advanced analytics and machine learning tools, allowing manufacturers to derive actionable insights from their data. This data-driven approach helps in optimizing machine performance, reducing costs, and enhancing customer satisfaction by delivering tailored and efficient services.
KeyCore, with its expertise in AWS services, can assist companies in implementing these advanced solutions. From cloud integration to data analytics, KeyCore provides comprehensive support, ensuring manufacturers fully leverage AWS’s capabilities to create smart industrial machines.
Synthetic IoT Security Data using Amazon Bedrock
As the Internet of Things (IoT) continues to grow, ensuring security remains a critical issue. A prominent security threat involves insecure network devices with open SSH ports, identified by the Open Worldwide Application Security Project (OWASP) as a major risk. Such vulnerabilities could potentially lead to unauthorized access and control of IoT devices, posing significant security concerns.
Amazon Bedrock provides a solution to this challenge by enabling the generation of synthetic security data. This data helps in creating realistic scenarios for testing and validating security measures without exposing actual devices to risk. By simulating potential threats, organizations can better prepare their defenses and enhance their security posture.
With Amazon Bedrock, developers can create complex data models that mimic real-world conditions. This capability is instrumental in identifying vulnerabilities and strengthening the security framework around IoT networks. Additionally, synthetic data aids in training machine learning models to detect anomalies, offering proactive threat detection and mitigation.
Leveraging KeyCore’s expertise, businesses can effectively utilize Amazon Bedrock to bolster their IoT security strategies. KeyCore assists in designing and implementing robust security solutions, ensuring that IoT systems remain resilient and secure against evolving threats.