Summary of AWS blogs for the week of monday Mon Oct 07
In the week of Mon Oct 07 2024 AWS published 74 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
- AWS Quantum Technologies Blog
- Helping non-technical small and medium businesses (SMBs) migrate to the cloud
- Official Database Blog of AWS
- AWS for Games Blog
- AWS Training and Certification Blog
- Official Big Data Blog of AWS
- Networking & Content Delivery
- AWS for M&E Blog
- AWS Storage Blog
- AWS Architecture Blog
- AWS Partner Network (APN) Blog
- AWS Cloud Enterprise Strategy Blog
- AWS HPC Blog
- AWS Cloud Operations Blog
- AWS for Industries
- AWS Messaging & Targeting Blog
- AWS Marketplace
- The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
- AWS Contact Center
- Innovating in the Public Sector
Desktop and Application Streaming
Optimizing Amazon WorkSpaces Personal with Amazon CloudWatch
Organizations seeking to enhance their understanding of Amazon WorkSpaces Personal performance can leverage Amazon CloudWatch for comprehensive insights. By tracking and reporting on IP addresses, platforms, and client versions, businesses can gain deeper visibility into how end users connect to their WorkSpaces Personal instances. Additionally, CloudWatch allows for a detailed analysis of operating system resource utilization within each WorkSpace. This setup not only aids in performance optimization but also helps in troubleshooting potential issues. Through actionable metrics and historical data, IT teams can improve user experiences and ensure optimal functionality of WorkSpaces Personal environments.
Ferrari and Bloomberg’s Journey with AWS for End User Computing (EUC)
In a recent AWS re:Invent event, industry leaders like Ferrari and Bloomberg shared their positive experiences with AWS for End User Computing (EUC). These testimonials highlighted how leveraging AWS’s robust infrastructure supports business agility and efficiency. Ferrari and Bloomberg have adopted AWS to enhance their digital workspace solutions, enabling secure, scalable, and high-performance environments for their teams. Such implementations underline the significant role AWS plays in transforming enterprise computing landscapes, supporting dynamic workforces, and ensuring productive collaboration across global locations.
Enhancing Contact Center Efficiency with Amazon WorkSpaces and Thin Clients
IT leaders aiming to boost contact center efficiency can employ Amazon WorkSpaces combined with thin client solutions. This approach ensures agents have the necessary applications and devices to deliver exceptional customer service while maintaining data security. Given the high turnover rates typical in contact centers, these solutions help streamline operations by reducing overhead and simplifying device management. Thin clients paired with Amazon WorkSpaces offer a cost-effective, secure, and efficient way to manage IT resources, aligning with the demands of a fast-paced contact center environment.
How KeyCore Can Assist
KeyCore, as a premier AWS consultancy in Denmark, offers expertise in optimizing AWS environments for enhanced performance and security. Leveraging our professional and managed services, businesses can maximize the potential of Amazon WorkSpaces, ensuring seamless integration and operation within their IT ecosystems. Whether enhancing EUC capabilities or improving contact center efficiency, KeyCore provides tailored solutions to meet specific business needs. Reach out to learn how KeyCore can assist in elevating your AWS infrastructure to new heights.
Read the full blog posts from AWS
- Optimize Amazon WorkSpaces Personal Performance with Amazon CloudWatch
- Ferrari and Bloomberg choose AWS for EUC
- Boost contact center efficiency with Amazon WorkSpaces and Thin Client
AWS DevOps & Developer Productivity Blog
Introduction to Streamlit and Serverless Deployment
As the demand for generative AI (GenAI) and machine learning applications surges, developers require platforms that are flexible, intuitive, and scalable. Streamlit has gained prominence as a tool that simplifies the creation of data apps, offering capabilities that allow for quick prototyping and deployment of powerful AI-driven applications. Utilizing Streamlit, developers can streamline the development process significantly, especially when paired with infrastructure as code (IaC) tools like Terraform.
Streamlit’s Role in GenAI Applications
Streamlit provides developers an efficient way to build web apps for machine learning and data science projects. Its simplicity and power make it an attractive option for building interactive applications that leverage AI and ML models. By abstracting complex UI code into simple Python scripts, Streamlit allows developers to focus primarily on their data and algorithms. This is particularly beneficial for projects involving generative AI, where rapid iteration and deployment are crucial.
Accelerating Deployment with Terraform
Integrating Terraform into the deployment process offers significant advantages, including automation and consistency. Terraform’s capabilities in managing AWS infrastructure as code mean that developers can deploy serverless Streamlit apps quickly, reliably, and with reduced manual intervention. This integration ensures that infrastructure can be scaled up or down according to demand, providing a cost-effective and resilient solution.
How KeyCore Can Assist
KeyCore, with its expertise in AWS and Terraform, can provide invaluable support in deploying serverless Streamlit applications. By leveraging KeyCore’s professional and managed services, organizations can optimize their infrastructure and streamline the deployment of generative AI applications. KeyCore can assist in automating deployments, managing AWS resources efficiently, and ensuring that applications are both scalable and secure. For more information on how KeyCore can enhance your AWS deployments, visit our website.
Read the full blog posts from AWS
AWS for SAP
SAP Content Server is a specialized system used to efficiently store and archive massive volumes of electronic documents in diverse formats alongside SAP data. Traditionally, these documents are stored either in a database such as SAP MaxDB or in the filesystem backing the SAP Content Server. However, as data grows, organizations are increasingly looking for sustainable and scalable solutions to manage their document archives.
Leveraging Amazon S3 for SAP Document Archiving
Amazon S3 offers a robust alternative for storing SAP documents and data with enhanced durability and scalability. By utilizing Amazon S3, businesses can significantly reduce the cost and complexity associated with traditional storage solutions. This AWS service provides a flexible storage model that allows for efficient data retrieval and seamless integration with SAP systems.
Amazon S3’s standard storage class ensures that data is automatically distributed across multiple devices and facilities, meeting the high durability requirements of enterprise-grade archives. Additionally, features like Amazon S3 Glacier enable cost-effective long-term storage, allowing businesses to archive infrequently accessed data at a substantially lower cost.
Business Value of Migrating to Amazon S3
Transitioning to Amazon S3 for SAP document archiving not only provides a scalable storage solution but also offers significant business advantages. Organizations can achieve operational efficiencies by offloading the management of physical storage infrastructure to AWS. This allows IT teams to focus on more strategic initiatives rather than the day-to-day maintenance of storage systems.
Furthermore, Amazon S3’s pay-as-you-go pricing model ensures that businesses only incur costs proportional to their storage use, which can lead to predictable and reduced expenditures compared to traditional storage methods.
How KeyCore Can Assist with SAP Archiving on AWS
KeyCore stands as the leading AWS consultancy in Denmark, adept at facilitating the integration of SAP systems with AWS services like Amazon S3. Our expertise can help organizations seamlessly migrate their document archives to AWS, ensuring compliance with best practices and AWS security standards.
We offer both professional and managed services tailored to meet the specific needs of businesses seeking to enhance their SAP document archiving strategies. From initial consultation to implementation and ongoing support, KeyCore is committed to delivering optimal cloud solutions that drive efficiency and cost savings.
Read the full blog posts from AWS
Official Machine Learning Blog of Amazon Web Services
Enhancing Operational Efficiency with AI-Powered Assistants
In the realm of cloud operational health management, AI has become a game-changer. The integration of an AI-powered, event-driven operations assistant can significantly boost productivity. Such an assistant autonomously filters out irrelevant events according to organizational policies and suggests actionable insights. It can also create and manage issue tickets within IT service management (ITSM) tools, facilitating seamless tracking of actions. Furthermore, these assistants can tap into knowledge bases to glean insights related to operational events, enhancing decision-making and operational responsiveness.
Scaling AI with Amazon SageMaker and Bedrock for Enhanced LLM Development
Indeed’s journey with Amazon SageMaker showcases the platform’s ability to accelerate AI research, development velocity, and operational flexibility. By leveraging Indeed’s extensive data, SageMaker facilitates advanced large language model (LLM) development. Meanwhile, Amazon Bedrock Guardrails enhance LLM robustness by filtering non-relevant queries and safeguarding personal data. This makes the agent framework more resilient and trustworthy, crucial for customer-facing applications. The detailed exploration of vector data stores within Amazon Bedrock Knowledge Bases further enriches database management with applicable use cases and hands-on code examples.
Optimizing Data Management and Security with Amazon Q Business
Amazon Q Business introduces features to safely enable or disable ACL crawling, ensuring data source connectors operate within set security protocols. With over 40 connectors, Amazon Q Business offers enterprise-grade security and privacy, effectively indexing diverse documents. Moreover, the Slack connector for Amazon Q Business allows seamless syncing of communications across public and private channels, mirroring user permissions to unlock workplace knowledge.
Evolving AI Applications in Telecommunications and Retail
SK Telecom’s fine-tuning of Anthropic’s Claude models via Amazon Bedrock exemplifies the bespoke tailoring of AI for telco-specific Q&A services. This customization addresses SKT’s need to navigate technical telecommunication documents effectively. On a different note, scaling Amazon’s Rufus conversational shopping assistant with AWS Inferentia and Trainium chips underscores the capability of generative AI to handle intensive events like Prime Day. This deployment showcases AI’s role in enhancing shopping experiences through rapid inference capabilities.
Transitioning and Enhancing Vision and Metrics Services
With Amazon Lookout for Vision phasing out, maintaining access, exploring alternatives, and migrating data have become focal points. The transition off Amazon Lookout for Metrics highlights AWS’s suite of anomaly detection services, providing a roadmap for customers seeking reliable alternatives. This transition ensures continuity in data monitoring and insights generation.
Accelerating Model Training with torchtitan on Amazon SageMaker
Efficient pre-training of Llama 3-like model architectures is facilitated by the torchtitan library on Amazon SageMaker. This collaboration with the PyTorch team at Meta highlights innovations like FSDP2, torch.compile integration, and FP8 support, which collectively enhance training efficiency and scalability. These optimizations ensure that AI models are trained faster and more effectively, aligning with industry demands for rapid deployment.
Revolutionizing Financial Services Onboarding with Amazon Bedrock
The power of generative AI is harnessed through Amazon Bedrock to automate user onboarding processes in financial services. By deploying a digital assistant, firms can streamline customer interactions, improve user experiences, and reduce onboarding time. This application of AI not only enhances operational efficiency but also strengthens customer trust and satisfaction.
Creating AI-Powered Slack Chat Assistants with Amazon Kendra and Bedrock
The development of AI-driven Slack chat assistants, powered by Amazon Bedrock and Amazon Kendra, illustrates the potential of AI to improve internal communication. These assistants serve as valuable resources, providing quick answers to queries related to indexed content. This ensures that organizational knowledge is easily accessible, fostering a more informed and agile workforce.
KeyCore’s Expertise in AWS Machine Learning Solutions
At KeyCore, we specialize in guiding businesses through the complexities of AWS machine learning technologies. Whether it’s deploying AI-powered operations assistants or integrating advanced LLMs using SageMaker, our expertise ensures tailored solutions that drive business value. We assist enterprises in transitioning from legacy systems like Amazon Lookout for Vision or Metrics, ensuring continuity and enhanced capabilities. Leveraging platforms such as Amazon Bedrock and torchtitan, KeyCore helps organizations optimize their AI strategies for improved efficiency and scalability. Our understanding of AWS’s diverse offerings empowers clients to harness the full potential of machine learning innovations, ensuring they remain at the forefront of technological advancements.
Read the full blog posts from AWS
- Boost productivity by using AI in cloud operational health management
- How Indeed builds and deploys fine-tuned LLMs on Amazon SageMaker
- Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents
- Dive deep into vector data stores using Amazon Bedrock Knowledge Bases
- Enable or disable ACL crawling safely in Amazon Q Business
- SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock
- Scaling Rufus, the Amazon generative AI-powered conversational shopping assistant with over 80,000 AWS Inferentia and AWS Trainium chips, for Prime Day
- Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision
- Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business
- Transitioning off Amazon Lookout for Metrics
- Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker
- Time series forecasting with Amazon SageMaker AutoML
- Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock
- Build a generative AI Slack chat assistant using Amazon Bedrock and Amazon Kendra
Announcements, Updates, and Launches
AWS has introduced AWS Console-to-Code, a new tool that transforms actions made in the AWS console into reusable infrastructure as code (IaC). This tool simplifies cloud automation workflows by allowing users to convert their console actions into CloudFormation templates, AWS Cloud Development Kit (CDK) scripts in TypeScript, Python, Java, or AWS Command Line Interface (CLI) commands. By supporting key services like Amazon EC2, RDS, and VPC, AWS Console-to-Code empowers developers to streamline their cloud operations efficiently. The availability of this tool marks a significant step forward for organizations aiming to enhance their DevOps practices by reducing manual configurations and fostering a more automated, code-driven environment.
Moreover, AWS provides a consistent method for documenting infrastructure changes, making it easier to maintain and update cloud resources. This capability not only enhances collaboration between development and operations teams but also ensures compliance and security best practices are adhered to. Overall, AWS Console-to-Code is a game-changer for teams looking to leverage the power of infrastructure as code to optimize their cloud strategies.
In another update, the AWS Weekly Roundup highlighted notable announcements including the HIPAA eligibility of Amazon Q Business and Amazon DCV, enhancements to AWS re:Post Agent, and more. These updates demonstrate AWS’s commitment to expanding its offerings to meet diverse business needs and regulatory requirements.
The announcement was shared at the China Engineer’s Day 2024 (CED 2024) in Hangzhou, where AWS was represented by a spokesperson who emphasized the role of AI development tools in enhancing developer productivity. The event, organized by the China Computer Federation (CCF), showcased how AWS’s continual innovation supports developers across the globe.
These developments reflect AWS’s dedication to providing robust solutions for a wide range of industries, ensuring that its services meet the growing demands for security, performance, and scalability in the cloud.
How KeyCore Can Help
KeyCore, as Denmark’s leading AWS consultancy, can assist businesses in implementing AWS Console-to-Code to enhance their cloud automation workflows. Our team of experts can provide guidance on converting complex infrastructure configurations into reusable code, ensuring seamless integration with existing DevOps practices. Additionally, we can help organizations navigate the latest AWS offerings, such as the HIPAA compliant solutions, to optimize their cloud environments. Whether through professional services or managed solutions, KeyCore is equipped to help businesses maximize their AWS investments.
Read the full blog posts from AWS
- Convert AWS console actions to reusable code with AWS Console-to-Code, now generally available
- AWS Weekly Roundup: HIPAA eligible with Amazon Q Business, Amazon DCV, AWS re:Post Agent, and more (Oct 07, 2024)
Containers
Leveraging Ray for AI Workloads on Amazon EKS
Ray is an open-source framework designed to optimize and manage the computational needs of AI workloads. It provides a user-friendly API for distributed computing, making it simpler to write parallel and distributed Python applications. By unifying infrastructure, Ray allows users to leverage any compute instance and accelerator on AWS through a single, flexible system.
The Integration of Anyscale and Ray
Anyscale enhances the capabilities of Ray by providing a robust platform for deploying AI applications at scale. This integration is particularly beneficial for Amazon EKS (Elastic Kubernetes Service) users, who can now efficiently handle complex AI tasks. Anyscale simplifies the management of Ray clusters, enabling seamless scaling and optimization of AI workloads across diverse AWS resources.
Advantages of Using Ray on Amazon EKS
By deploying Ray on Amazon EKS, organizations can significantly improve the execution of distributed AI workloads. This setup allows for better resource utilization and cost efficiency, as EKS automatically orchestrates the containerized applications, distributing them across the underlying infrastructure. Users benefit from enhanced scalability, enabling them to adjust to varying computational demands dynamically.
Business Impact and KeyCore’s Expertise
The adoption of Ray on Amazon EKS represents a significant opportunity for businesses seeking to leverage AI more effectively. It facilitates faster development cycles and more efficient use of resources, which can lead to accelerated innovation and competitive advantage. At KeyCore, we offer extensive expertise in deploying and optimizing Ray for AI workloads on AWS. Our team can help design, implement, and manage these solutions, ensuring organizations maximize their investment in AWS infrastructure. Whether through professional services or managed service offerings, KeyCore is equipped to support businesses in harnessing the full potential of AI on Amazon EKS.
Read the full blog posts from AWS
AWS Quantum Technologies Blog
Quantum computing is a rapidly evolving field, and amidst its development is the exploration of variational quantum algorithms (VQAs). The question arises: can these algorithms find practical applications before the advent of full quantum error correction? This inquiry leads to a deeper investigation into the performance of the Variational Quantum Eigensolver (VQE) when exposed to noise, particularly within the realm of quantum chemistry.
Understanding Variational Quantum Algorithms
Variational Quantum Algorithms are at the forefront of hybrid quantum-classical computing models. They utilize quantum circuits to prepare quantum states, which are then measured to provide data. This process is optimized using classical algorithms to find the lowest energy state of a quantum system. The VQE, a prominent example, is particularly promising for solving quantum chemistry problems by approximating molecular ground states.
The Impact of Noise and Error Mitigation
Noise remains a significant challenge in quantum computing. It degrades the accuracy and reliability of quantum computations. The study discussed in this article evaluates how noise impacts the VQE’s performance. Quantum error mitigation techniques are crucial in this context. These techniques don’t correct errors outright but aim to reduce their effects, thereby enhancing the results obtained from noisy quantum systems.
Potential Applications and Future Directions
Despite the current limitations due to noise, VQAs like VQE are showing potential in solving real-world problems. In quantum chemistry, they can provide insights into molecular structures and reactions that are difficult for classical computers to simulate. As quantum technologies advance, these algorithms may become invaluable tools even before full error correction capabilities are realized.
How KeyCore Can Assist
KeyCore stands ready to assist businesses in navigating the complexities of quantum technologies. By leveraging our expertise in AWS and quantum computing, organizations can explore the potential of VQAs for their specific needs. Our proficiency in AWS services ensures the deployment of robust and scalable solutions tailored to harness the power of quantum computing effectively.
Read the full blog posts from AWS
Helping non-technical small and medium businesses (SMBs) migrate to the cloud
In today’s digital era, small and medium businesses (SMBs) must navigate the complexities of risk management and compliance when migrating to the cloud. By prioritizing cloud security, they can unlock new business opportunities while ensuring compliance with industry standards such as PCI and HIPAA. Here’s how SMB leaders can leverage the NIST Cybersecurity Framework and AWS compliance tools to effectively manage risks.
Understanding the NIST Cybersecurity Framework
The National Institute of Standards and Technology (NIST) Cybersecurity Framework provides a comprehensive guide for managing and reducing cybersecurity risks. It offers a structured approach to identifying, protecting, detecting, responding, and recovering from cyber threats. For SMBs, applying this framework within AWS can help create a robust security posture that not only safeguards business operations but also aligns with regulatory requirements.
Leveraging AWS Compliance Tools
AWS provides a suite of compliance tools designed to assist businesses in adhering to industry standards and regulations. These tools include AWS Artifact for accessing compliance reports, AWS Security Hub for monitoring security across AWS accounts, and AWS Config for assessing resource configurations. By utilizing these services, SMBs can maintain compliance with standards such as PCI DSS for payment processing and HIPAA for healthcare data.
Unlocking Business Opportunities
By effectively managing risks and ensuring compliance, SMBs can focus on leveraging the cloud to drive business growth. AWS enables businesses to scale operations, innovate rapidly, and enhance customer experiences. With a strong security and compliance foundation, SMBs can confidently explore new markets and expand their services, knowing they have a reliable cloud infrastructure supporting their efforts.
How KeyCore Can Help
KeyCore, as the leading AWS consultancy in Denmark, offers expertise in guiding SMBs through their cloud migration journey. Our team of AWS-certified professionals can help businesses implement the NIST Cybersecurity Framework, configure AWS compliance tools, and optimize their AWS environments to achieve both security and business objectives. By partnering with KeyCore, SMBs can ensure a smooth transition to the cloud, unlocking new potential while maintaining compliance and managing risks effectively. Learn more about our services at KeyCore.dk.
Read the full blog posts from AWS
Official Database Blog of Amazon Web Services
Zendesk’s Cost and Performance Gains with Amazon Aurora PostgreSQL
Zendesk achieved significant cost and performance improvements by migrating their legacy system to Amazon Aurora PostgreSQL. This transition was a follow-up to their earlier move that tripled performance using Amazon Aurora and Amazon Redshift. Key strategies involved upgrading major versions of Aurora PostgreSQL databases with minimal customer downtime. AWS Technical Account Managers played a crucial role, enabling Zendesk to complete the upgrade within six months without affecting customer services.
Performance optimizations were at the forefront of this migration. Through strategic planning and execution, Zendesk was able to enhance both performance and cost efficiency. Notably, the transition was seamless with no disruption to customer experiences, showcasing the robustness of AWS services in managing complex database migrations.
Amazon MemoryDB and ElastiCache Now Support Valkey 7.2
Amazon MemoryDB and ElastiCache have both announced support for Valkey version 7.2, offering distinct cost benefits. MemoryDB for Valkey provides a 30% reduction in instance hour pricing compared to Redis OSS. Moreover, users can write up to 10 TB of data at no charge each month, with additional data billed modestly. ElastiCache for Valkey users can benefit from a 33% lower price on serverless options and a 20% reduction on self-designed clusters.
The support for Valkey 7.2 signifies AWS’s commitment to advancing open-source solutions, making them more accessible and cost-effective for customers. This expansion enables businesses to leverage high-performance, key-value datastores with reduced financial overhead.
Enhanced Scalability with Amazon Aurora Serverless v2
Amazon Aurora Serverless v2 introduces enhanced scalability by supporting up to 256 Aurora Capacity Units (ACUs). This configuration allows databases to automatically adjust capacity in fine-grained increments, ensuring optimal resource allocation based on application demands. This feature eliminates the need to manage database capacity manually, offering a seamless, on-demand scalability solution.
The ability to scale dynamically not only reduces the overhead of database management but also aligns with varying workload requirements, providing businesses with a flexible, cost-effective database solution.
Optimizing Read Workloads with Amazon RDS for SQL Server
Amazon RDS for SQL Server offers robust solutions for setting up and managing SQL Server deployments on AWS. A critical focus is on optimizing read workloads through effective load balancing strategies for read replicas. By alleviating the administrative burdens of provisioning, backups, and monitoring, RDS allows database administrators to concentrate on high-value tasks like query optimization and schema design.
This service empowers businesses to enhance performance and reduce latency in their SQL Server environments, optimizing resource use and improving end-user experiences.
How KeyCore Can Help
KeyCore, as Denmark’s leading AWS consultancy, offers tailored solutions to help businesses leverage AWS database services effectively. Our team of experts can assist in optimizing performance and cost-efficiency, executing seamless migrations to Amazon Aurora or other AWS databases, and implementing robust database strategies. By partnering with KeyCore, businesses can ensure they maximize the potential of AWS technologies, reducing operational challenges and enhancing their infrastructure capabilities.
Read the full blog posts from AWS
- How Zendesk achieved cost and performance gains by moving to Amazon Aurora PostgreSQL
- Get started with Amazon MemoryDB for Valkey
- Get started with Amazon ElastiCache for Valkey
- Amazon ElastiCache and Amazon MemoryDB announce support for Valkey
- Introducing scaling up to 256 ACUs with Amazon Aurora Serverless v2
- Load balancing strategies for Amazon RDS for SQL Server read replicas to scale read workloads and reduce latency
AWS for Games Blog
Enhancing Social Interaction with AWS AppSync
CrazyGames, a renowned multiplayer games platform, engages over 35 million players globally through popular titles like Ludo King and Paper Delivery Boy. The platform supports gaming in 24 different languages, making it accessible to a diverse audience. To enhance the social experience for its players, CrazyGames has implemented a real-time friends system using AWS AppSync.
Real-Time Friends System
The introduction of a real-time friends system allows players to connect and interact seamlessly, whether they are on a desktop or mobile device. AWS AppSync facilitates this by providing a robust, scalable solution for real-time data synchronization and offline programming features. Players can now enjoy a more engaging and interactive gaming experience, fostering a sense of community and collaboration.
Technical Benefits
Using AWS AppSync, CrazyGames can efficiently manage complex data queries and updates, ensuring low-latency communication between players. This serverless GraphQL service simplifies the process of building and maintaining the real-time friends system, allowing for quick iteration and deployment of new features. Additionally, it enhances scalability, supporting CrazyGames’ growing user base with minimal infrastructure management.
Business Value
By leveraging AWS AppSync, CrazyGames can offer a more dynamic and interactive gaming experience that meets modern gamers’ expectations. This upgrade not only improves user satisfaction and engagement but also positions CrazyGames as a competitive player in the online gaming market. Enhanced social features can lead to increased user retention and attract new players seeking a more connected gaming experience.
How KeyCore Can Help
KeyCore, as a leading AWS consultancy in Denmark, can assist organizations like CrazyGames in leveraging AWS services to enhance their platforms. With expertise in AWS AppSync and other AWS technologies, KeyCore can help design and implement scalable, efficient solutions tailored to specific business needs. Whether firms are looking to improve user interaction or optimize backend infrastructure, KeyCore offers both professional and managed services to ensure successful AWS integration.
Read the full blog posts from AWS
AWS Training and Certification Blog
Understanding SaaS with AWS Training and Certification
As enterprises shift their focus toward core competencies, the reliance on Software-as-a-Service (SaaS) solutions grows. The AWS Training and Certification programs provide crucial resources to understand and navigate the complexities of the SaaS business model. By leveraging these resources, businesses can handle the undifferentiated heavy lifting associated with SaaS and enhance their service offerings.
Comprehensive Training for SaaS
AWS Training offers a variety of courses tailored to equip professionals with the skills necessary to operate within a SaaS framework. These courses cover a wide range of topics, from the foundational concepts of SaaS to advanced operational strategies. Participants learn how to approach problems from a SaaS perspective, gaining insights into the unique challenges and opportunities that this model presents.
The curriculum is designed to familiarize participants with the intricacies of SaaS, enabling them to effectively manage and optimize SaaS solutions in their organizations. Through hands-on training and real-world scenarios, learners can apply their knowledge to actual business challenges, preparing them to drive innovation and efficiency in their SaaS endeavors.
Business Value of SaaS Training
Investing in SaaS training not only enhances individual skillsets but also brings significant value to organizations. With a well-trained workforce, companies can leverage SaaS to streamline operations, reduce costs, and improve scalability. This adaptability is crucial in today’s fast-paced business environment, where staying ahead of the competition is paramount.
By understanding SaaS intricacies, businesses can better align their technology strategies with their overall goals, leading to improved efficiency and customer satisfaction. AWS Training and Certification ensures that organizations have the expertise required to maximize the potential of their SaaS investments.
How KeyCore Can Assist
KeyCore, as a leading AWS consultancy, offers expert guidance and support for businesses looking to enhance their SaaS capabilities. With our deep knowledge of AWS tools and services, we can help you tailor your AWS training programs to meet your specific needs and objectives. Our managed services provide ongoing support to ensure your SaaS solutions are optimized for performance and efficiency, allowing you to focus on your core business functions.
Partnering with KeyCore means accessing a wealth of AWS expertise, ensuring your organization remains at the forefront of technology innovation. Let us help you navigate your SaaS journey and achieve your business goals with confidence.
Read the full blog posts from AWS
Official Big Data Blog of Amazon Web Services
Manual Snapshots in Amazon OpenSearch Service
Amazon OpenSearch Service users can now efficiently manage data across various AWS Regions and accounts by taking manual snapshots. This process involves capturing your data, securely transferring it to different domains, and restoring it as needed. The primary goal is to ensure data integrity and continuity in multi-Region and multi-account environments. This capability is especially beneficial for organizations handling complex data architecture, as it simplifies the data management process while maintaining high availability and resilience.
Amazon Redshift Data Sharing for Data Lake Tables
Amazon Redshift now supports secure data sharing for data lake tables, also known as external or Spectrum tables, maintained in the AWS Glue Data Catalog. This feature allows data owners to implement granular access controls, ensuring tight governance over shared data. Organizations can enhance cross-team and cross-organizational collaboration by utilizing this functionality. It reduces operational overhead and unlocks new insights by streamlining data workflows and improving data accessibility.
Amazon EMR on EC2 Cost Optimization
A global financial services provider achieved a 30% cost reduction by migrating their Apache Hadoop clusters to AWS. The solution involved using Amazon EMR, Amazon EC2, and Amazon S3. This post outlines the key lessons and best practices in optimizing costs for Amazon EMR. By focusing on efficient resource management and leveraging AWS’s scalable infrastructure, organizations can significantly lower their operational expenses while maintaining high performance.
Data Parity with AWS Glue Data Quality
For organizations undertaking data modernization programs, AWS Glue Data Quality provides a robust solution to establish data parity. With minimal configuration, users can automatically measure and monitor data quality within data repositories and AWS Glue ETL pipelines. This feature supports seamless data migration and modernization efforts, ensuring consistent and accurate data across various platforms.
Accessing Private Code Repositories with Amazon MWAA
Amazon MWAA users can now install Python dependencies from private Git repositories within their VPC. This method allows for selective installations based on the MWAA component type, such as web server, scheduler, or worker. It enhances security and control over the deployment of code dependencies in managed workflows, aligning with best practices for maintaining a secure infrastructure.
Analyzing Large Time Series Datasets with OpenSearch Serverless
OpenSearch Serverless has introduced a 30TB capacity for time series data, facilitating enhanced data processing capabilities. By leveraging OpenSearch Compute Units (OCUs), users can efficiently ingest, search, and query large datasets. This feature is particularly useful for data-intensive applications, enabling quick insights extraction without compromising on scalability or performance.
How KeyCore Can Help
KeyCore is equipped to assist in implementing these advanced AWS solutions. With expertise in Amazon OpenSearch Service, Redshift, EMR, Glue, and MWAA, KeyCore can guide organizations through data management, cost optimization, data quality assurance, and efficient code deployment. Our professional and managed services ensure that businesses leverage AWS’s full potential while maintaining operational excellence. Visit KeyCore to learn more about our offerings and how we can support your AWS initiatives.
Read the full blog posts from AWS
- Take manual snapshots and restore in a different domain spanning across various Regions and accounts in Amazon OpenSearch Service
- Unleash deeper insights with Amazon Redshift data sharing for data lake tables
- Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%
- Perform data parity at scale for data modernization programs using AWS Glue Data Quality
- Access private code repositories for installing Python dependencies on Amazon MWAA
- Extract insights in a 30TB time series workload with Amazon OpenSearch Serverless
Networking & Content Delivery
The AWS Web Application Firewall (WAF) offers JavaScript integrations designed to enhance user experiences by refining how CAPTCHA and Challenge actions are handled. By default, AWS WAF Bot Control employs these actions to verify browser interactions before granting access to protected resources. While effective for security, such measures can inadvertently lead to user frustration due to unexpected application errors or unanticipated CAPTCHA prompts.
JavaScript Integrations for Improved User Experience
The AWS WAF JavaScript integrations allow developers to gain finer control over CAPTCHA challenges and browser verifications. By doing so, developers can ensure smoother interactions for genuine users while still maintaining robust security measures. These integrations mitigate the unintended disruptions that occur when legitimate requests are improperly blocked, thereby enhancing overall user satisfaction.
Technical Implementation
Leveraging AWS WAF’s JavaScript capabilities requires embedding specific scripts within the web application’s codebase. These scripts dynamically manage the presentation and execution of CAPTCHA challenges, allowing for seamless user flow and minimizing the impact of security measures on non-malicious users. Developers can thus customize how and when these challenges appear, improving the interaction path for users.
Business Value
By optimizing web application user experiences through AWS WAF JavaScript integrations, businesses can reduce bounce rates and increase user retention. A streamlined experience minimizes user frustration, which is crucial for maintaining engagement and preserving brand reputation. With enhanced user satisfaction, businesses can expect improved conversion rates and greater customer loyalty.
How KeyCore Can Assist
KeyCore specializes in implementing and optimizing AWS solutions, including AWS WAF configurations. Our team can assist in effectively integrating JavaScript with AWS WAF to ensure your web applications are both secure and user-friendly. By partnering with us, businesses can leverage our expertise to fine-tune security measures while enhancing user experiences, ensuring that both security and customer satisfaction are maximized.
Read the full blog posts from AWS
AWS for M&E Blog
The Seattle Seahawks have redefined their digital strategy by implementing an AI-powered content automation system. This innovative approach streamlines the distribution of digital content, automating the processes of video uploads, transcript generation, and summary creation. As a result, the Seattle Seahawks have enhanced the fan experience by delivering content more efficiently and effectively. Through automation, the team can focus on engaging with fans in real-time, delivering a seamless game-day experience.
Enhancing Fan Engagement with AI
The AI-powered system allows the Seahawks to quickly and accurately distribute game-day content, ensuring fans have access to the latest highlights and interviews. By automating repetitive tasks, such as video editing and transcription, the Seahawks can allocate more resources to fan interaction and content personalization. This strategic move not only enhances fan engagement but also boosts operational efficiency, enabling the team to maintain a competitive edge in the digital age.
Getting started with AWS Elemental MediaLive Anywhere has become a priority for professionals in the media and entertainment industry. This sector demands flexibility in managing on-premises infrastructure, especially when it comes to distributing content locally and contributing to AWS Media Services. MediaLive Anywhere is designed to meet these needs by offering versatile solutions that maintain quality and reliability.
Flexibility in Content Distribution
MediaLive Anywhere equips media companies with the tools needed to efficiently handle content distribution. This feature allows for seamless integration with existing infrastructure, ensuring a smooth transition to cloud-based operations. By leveraging MediaLive Anywhere, media companies can optimize their content workflows, reduce latency, and enhance broadcast quality, all while maintaining the reliability that audiences expect.
At significant industry events like Advertising Week and the NAB Show in New York, AWS showcases its ability to drive innovation in content monetization and cloud broadcasting. The AWS Media & Entertainment, Games, and Sports team highlights how AWS empowers companies to maximize content monetization and customer engagement across various platforms.
Empowering Media Companies
AWS provides media and entertainment companies with the tools and technology necessary to enhance their broadcasting capabilities, enabling them to reach wider audiences and increase revenue streams. Through AWS’s cloud-based solutions, these companies can deliver high-quality content at scale, streamline their operations, and foster deeper connections with their audiences.
How KeyCore Can Help
KeyCore offers specialized expertise in implementing AWS solutions tailored to the media and entertainment industry. With a deep understanding of AWS technologies and best practices, KeyCore can assist companies in optimizing their digital strategies, enhancing content distribution, and maximizing customer engagement. By partnering with KeyCore, media companies can leverage AWS’s full potential to achieve their business goals efficiently and effectively.
Read the full blog posts from AWS
- How the Seattle Seahawks streamline game-day coverage using AI
- Getting started with AWS Elemental MediaLive Anywhere
- AWS drives innovation in content monetization and cloud broadcast at Advertising Week & NAB Show New York
AWS Storage Blog
Organizations heavily rely on mission-critical database workloads such as PostgreSQL, where any downtime can impact revenue and user trust. Enhancing the resiliency and recoverability of these databases is crucial to maintaining business continuity. By leveraging Amazon FSx for OpenZFS, organizations can significantly improve their recovery capabilities.
Understanding RTO and RPO
Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are vital metrics that determine how quickly systems need to be back online after a failure and how much data loss is acceptable, respectively. Lowering these metrics helps ensure swift recovery and minimal data loss, protecting business operations and maintaining user confidence.
Amazon FSx for OpenZFS
Amazon FSx for OpenZFS offers a robust, scalable, and high-performance file system that allows quick data recovery through efficient snapshot management and data replication. By utilizing the features of OpenZFS, organizations can create frequent snapshots and maintain backups with minimal impact on performance, enabling fast recovery from any point in time.
Business Value of Enhanced Recovery
With Amazon FSx for OpenZFS, businesses can achieve lower RTO and RPO, ensuring that mission-critical applications remain resilient and available. This leads to improved customer trust, minimized revenue loss, and a competitive edge in the market by demonstrating robust IT infrastructure capabilities.
How KeyCore Can Assist
KeyCore specializes in advanced AWS solutions and can help organizations implement Amazon FSx for OpenZFS tailored to their specific needs. By leveraging KeyCore’s expertise, businesses can optimize their database recovery strategies, ensuring that their PostgreSQL environments are resilient, reliable, and recoverable in the face of unforeseen disruptions.
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AWS Architecture Blog
In a collaborative effort with Ran Isenberg, Principal Software Architect at CyberArk and an AWS Serverless Hero, CyberArk explores how serverless governance can be effectively streamlined by utilizing architectural blueprints. By integrating serverless architectures, organizations achieve greater agility and simplified management of cloud resources, enabling the construction of robust and distributed cloud applications. However, as these organizations expand and development teams multiply, ensuring architectural consistency, standardization, and effective governance across various projects becomes increasingly important.
Streamlining Serverless Governance
To address these challenges, CyberArk has focused on codifying architectural blueprints to establish a standardized framework. This approach not only aids in maintaining consistency but also enforces governance policies at scale. The utilization of these blueprints allows for automated deployment pipelines, reducing manual intervention and minimizing the risk of deviations from established standards.
Technical Implementation
The technical foundation for this initiative is grounded in AWS CloudFormation and AWS Cloud Development Kit (CDK). These tools enable the definition of infrastructure as code, allowing developers to create, manage, and provision AWS resources using familiar programming languages. By leveraging these technologies, CyberArk ensures that their serverless infrastructures are both scalable and maintainable.
Business Value
From a business perspective, the codification of architectural blueprints serves to accelerate development cycles by providing development teams with a definitive model to follow. This reduces overhead costs associated with architectural reviews and governance enforcement, ultimately leading to more efficient project delivery and operational excellence. Furthermore, it enhances security and compliance postures by embedding best practices into the development process.
How KeyCore Can Help
KeyCore can assist organizations in adopting a similar approach to serverless governance by leveraging its expertise in AWS technologies. Our team can guide the development of custom architectural blueprints tailored to specific business needs, ensuring both agility and compliance. Whether through professional services or managed solutions, KeyCore is well-equipped to support your serverless journey, enhancing application integrity and operational efficiency.
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AWS Partner Network (APN) Blog
Batch Geocoding with Precisely Geo Addressing on Amazon EMR
Precisely, a leader in data integrity, offers a solution for handling large address datasets through their Geo Addressing on Amazon EMR. This approach allows users to create a master dataset with high accuracy and extract valuable metadata for broad-scale analysis. By operating on Amazon EMR, organizations can efficiently process extensive data collections, ensuring consistency and context. This solution is particularly beneficial for businesses needing precise geocoding for logistics, marketing, or customer analytics, providing a strong foundation for insightful decision-making.
Enhancing SAP Availability with SUSE Solutions on AWS
SAP applications are critical for many enterprises, forming the backbone of their operational processes. SUSE solutions on AWS provide a pathway for enhancing the availability of these applications. By leveraging the SUSE environment, businesses can improve the resilience of their SAP systems, ensuring that vital business processes remain uninterrupted. This solution caters to organizations aiming to meet business goals with robust, reliable SAP systems, offering enhanced availability through innovative SUSE technologies integrated on AWS.
Field Service Optimization with Gen AI Powered Yantr.ai
The field service management market is undergoing significant growth, projected to expand from $4 billion in 2020 to $24.29 billion by 2030. Despite this growth, inefficiencies in workflow, costs, and scheduling are persistent challenges. Tech Mahindra Business Process Services and Yantr.ai have developed a Gen AI platform powered by AWS services to address these issues. This platform streamlines operations, enhancing service delivery and optimizing field resources. It represents a technological leap forward for businesses aiming to improve their field service operations through intelligent automation.
East-West Traffic Routing with Megaport’s NaaS
AWS Local Zones provide low-latency access to AWS services for metropolitan customers, and their adoption is increasing. Megaport’s Network-as-a-Service (NaaS) facilitates optimized east-west traffic routing between Local Zones, avoiding latency issues that can arise from routing through parent regions. This setup allows businesses to design resilient, high-performance architectures that enhance application performance and network connectivity. Such optimization is crucial for enterprises seeking to leverage Local Zones for better latency management and improved application resilience.
Driving Innovation with AWS Native Services and Nutanix Cloud Clusters
Organizations on a cloud journey seek to utilize AWS’s extensive suite of over 200 cloud-native services for innovation, agility, and cost optimization. However, migrating existing workloads can be challenging. Nutanix Cloud Clusters (NC2) on AWS offer a seamless solution for extending and migrating on-premises workloads to the AWS Cloud without refactoring. This integration facilitates a smoother transition, allowing businesses to harness AWS services efficiently while maintaining operational continuity and reducing migration complexities.
AI Governance with Domino Data Lab on AWS
AI governance is increasingly crucial as organizations seek to implement advanced AI systems responsibly. Domino Data Lab, in collaboration with AWS, provides an Enterprise AI Platform that integrates governance across the AI lifecycle. This integration ensures that policies translate into actionable practices, mitigating risks while driving value. By embedding governance into AI processes, businesses can innovate confidently, aligning AI initiatives with broader organizational objectives and compliance requirements.
Agile Content Management with Contentful and AWS
In the digital age, agile content management is vital for businesses aiming to maintain a competitive edge. Contentful, a headless CMS, combined with AWS CI/CD services, offers a robust solution for enhancing content velocity. This architecture allows businesses to update websites and mobile apps rapidly and securely, ensuring content relevancy and engagement. By leveraging Contentful on AWS, organizations can achieve greater agility, responding swiftly to market changes and customer needs with updated, relevant content.
How KeyCore Can Help
KeyCore specializes in leveraging AWS solutions to optimize business operations. Whether enhancing SAP availability, implementing AI governance, or streamlining content management, KeyCore provides expert consultancy and managed services. Our team can help deploy solutions like Precisely Geo Addressing, SUSE on AWS, and Contentful integration, ensuring seamless implementation and maximizing business value. Contact KeyCore to discover how we can support your AWS journey and help you harness the full potential of AWS services.
Read the full blog posts from AWS
- Batch Geocoding with Precisely Geo Addressing on Amazon EMR
- Customers enhance SAP availability with SUSE solutions on AWS
- Unlocking the Future of Field Service Optimization with Gen AI powered Yantr.ai
- East-West traffic routing between AWS Local Zones using Megaport’s Network-as-a-Service (NaaS)
- Drive Innovation with AWS native services and Nutanix Cloud Cluster running on AWS
- AI Governance with Domino Data Lab on AWS: From Policies to Practices
- Agile Programmatic Content Management with Contentful and AWS
AWS Cloud Enterprise Strategy Blog
Artificial intelligence (AI) has emerged as a transformative force, particularly in regulated industries such as banking and insurance. These industries are characterized by scaled, repetitive, and data-rich processes where AI can significantly enhance efficiency and user experience.
Challenges of AI Adoption in Regulated Industries
Despite the potential benefits, regulated industries have been cautious in adopting AI. The primary concerns revolve around regulatory compliance and data privacy. As a former CIO at a leading insurance company, the author experienced firsthand the stringent compliance requirements that these industries must navigate.
AI implementations need to align with complex regulatory frameworks that govern data usage and protection. This necessitates a careful balance between innovation and compliance to ensure that AI solutions do not compromise customer trust or violate regulatory mandates.
AI’s Potential to Drive Efficiency
AI technologies are adept at automating and optimizing processes that are repetitive and data-intensive. For instance, in the insurance sector, AI can streamline claims processing, improve risk assessment, and enhance customer service through intelligent chatbots and virtual assistants. Similarly, in banking, AI can expedite loan approvals, detect fraudulent transactions, and personalize customer experiences.
By leveraging AI, these industries can not only reduce operational costs but also deliver higher value to end-users, thus staying competitive in a rapidly evolving digital landscape.
Strategies for Successful AI Implementation
Successful AI adoption requires a strategic approach. Organizations must invest in robust data management practices to ensure data integrity and privacy. They should also focus on building interdisciplinary teams that include AI experts, compliance officers, and business leaders to drive seamless integration.
Moreover, continuous monitoring and evaluation of AI systems are essential to address any compliance issues promptly and refine AI models for improved performance over time.
How KeyCore Can Assist
KeyCore offers specialized expertise in navigating the complexities of AI implementation in regulated industries. By leveraging KeyCore’s deep knowledge of AWS and its suite of AI and machine learning services, organizations can accelerate their AI initiatives while ensuring compliance with all regulatory standards. KeyCore’s team can provide tailored solutions that align with industry-specific requirements, driving innovation while safeguarding data privacy and compliance.
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AWS HPC Blog
The AWS Graviton4 processor is a transformative development for high-performance computing (HPC) on the AWS platform. This advancement, as detailed in the case study with DevitoPRO, showcases the processor’s potent capabilities. The Graviton4 is equipped with 96 Neoverse V2 cores, significantly increasing performance and efficiency for compute-intensive applications. The enhanced memory subsystem is a vital improvement, featuring 12 DDR5-5600 channels that deliver up to 75% more memory bandwidth compared to its predecessor, Graviton3.
Technical Advancements
The Graviton4’s architecture is designed to optimize memory-intensive workloads, making it particularly suitable for applications such as seismic imaging and fluid dynamics simulations, both of which are compute-heavy and require substantial data processing capabilities. The increased memory bandwidth reduces bottlenecks and improves data throughput, leading to faster computation times and more efficient resource usage.
Business Value
For organizations leveraging HPC solutions, the Graviton4 processor offers a compelling business proposition. Its improved performance can lead to reduced computation times, allowing enterprises to accelerate research and development cycles. Additionally, the cost-effectiveness of AWS Graviton instances can lead to lower cloud expenses. This is especially relevant for industries such as oil and gas, pharmaceuticals, and finance, where simulation and modeling are critical operations.
How KeyCore Can Assist
KeyCore, as a leading AWS consultancy in Denmark, can provide expert guidance on integrating AWS Graviton4 processors into existing HPC workflows. Our team can assist in optimizing applications to fully leverage the new capabilities of the Graviton4, ensuring your organization maximizes performance while maintaining cost-efficiency. Whether through professional services or managed services, KeyCore can tailor solutions that fit specific business needs, ensuring scalability and robustness in your cloud computing endeavors.
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AWS Cloud Operations Blog
Streamline Change Processes and Improve Governance with AWS Well-Architected
The AWS Well-Architected Framework (WA Framework) is a key resource for cloud architects aiming to construct secure, resilient, high-performing, and efficient AWS workloads. The framework is organized around six pivotal pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. Each pillar offers unique guidelines, best practices, and methodologies to enhance different aspects of cloud architecture. By leveraging these pillars, organizations can streamline change processes and reinforce governance, ensuring that AWS workloads not only meet business objectives but also adhere to best practices and regulatory requirements.
Centralized Monitoring and Alerting for AWS Systems Manager Agent
Monitoring the status of AWS Systems Manager Agent (SSM Agent) on managed nodes is critical for maintaining the health and performance of AWS environments. If the SSM Agent loses its healthy connection to AWS Systems Manager on crucial servers, such as those on-premises or on Amazon EC2, it can lead to serious operational issues. By implementing centralized monitoring and alerting across AWS Organizations, businesses can be proactively notified about connection disruptions. This enhances observability and ensures that any issues with the SSM Agent are promptly addressed, maintaining a seamless operational workflow.
Analyzing Custom Metrics Spend in Amazon CloudWatch
With the increasing volume of custom metrics in Amazon CloudWatch, managing and understanding the spend on these metrics can become challenging. Customers frequently encounter difficulties in identifying which metrics contribute the most to their CloudWatch spending. The introduced solution allows users to analyze their metrics spend effectively, empowering them to optimize costs by focusing on the most significant contributors. This financial insight is crucial for businesses to maintain budgetary control while leveraging the comprehensive monitoring capabilities of CloudWatch.
Sign-In Challenges with AWS Console Mobile Application Using SSO
The AWS Console Mobile Application is a vital tool for users who need to monitor and manage AWS resources on the go. However, customers using Single-Sign-On (SSO) face challenges when signing into the mobile application. While SSO enhances security by providing a unified login experience, integrating it with mobile access can present complexities. By allowing sign-in through an AWS Access Portal or third-party IdP URL, AWS aims to simplify the process for users. This ensures that customers can enjoy the full benefits of mobile access without compromising on security or convenience.
How KeyCore Can Help
KeyCore offers expert guidance and solutions tailored to the unique needs of AWS environments. Our team can assist in implementing the AWS Well-Architected Framework to streamline change processes and improve governance. We provide comprehensive monitoring and alerting solutions for AWS Systems Manager Agent, ensuring operational excellence. Additionally, KeyCore can help analyze and optimize your CloudWatch custom metrics spend, and facilitate seamless SSO integration with the AWS Console Mobile Application. Visit KeyCore to learn more about how we can enhance your AWS operations.
Read the full blog posts from AWS
- Streamline change processes and improve governance with AWS Well-Architected
- Centralized monitoring and alerting for AWS Systems Manager Agent status on managed nodes across AWS Organization
- Analyzing your custom metrics spend contributors in Amazon CloudWatch
- Sign-in to AWS Console Mobile Application with an AWS Access Portal or third-party IdP URL
AWS for Industries
Migrating Toyota’s Drivelink Safety Connect to AWS
Toyota Motor Corporation (TMC), a leader in the automotive industry, has embarked on a significant journey towards becoming a mobility company by integrating “connected cars” into their strategy. Through collaboration with its affiliate, Toyota Connected, TMC has successfully developed cutting-edge technologies designed to enhance customer safety and the overall vehicle ownership experience. A prime example of this endeavor is the seamless migration of Drivelink Safety Connect to AWS, which was achieved with zero downtime. This migration exemplifies how Toyota is leveraging AWS’s robust cloud infrastructure to maintain high availability and scalability, crucial for connected car services. Utilizing AWS’s wide array of services, Toyota ensures that their customers receive uninterrupted and advanced safety features, aligning with their vision of future mobility.
Insights from the AWS Retail & Consumer Goods Symposium: London
The AWS Retail & Consumer Goods Symposium held in London offered a captivating glimpse into the future of the retail sector. Attendees, including AWS customers and partners, gathered to explore how generative artificial intelligence (AI) is personalizing shopping experiences and enhancing consumer engagement across various channels. The symposium highlighted the transformative potential of digital technologies in creating new ways to delight omnichannel consumers. Through shared digital transformation narratives and discussions on cutting-edge advancements, participants gained insights into how AWS is shaping the retail landscape. This event underscored the importance of embracing cloud technologies to stay competitive in an ever-evolving market.
FSx for NetApp ONTAP: Enhancing Product Engineering Workloads
In the realm of product engineering, businesses are constantly looking for ways to optimize productivity and reduce costs. FSx for NetApp ONTAP, a fully managed service by AWS, provides businesses with high-performance, scalable file storage solutions tailored for Computer Aided Engineering (CAE) applications. By offering a seamless integration with existing workflows and robust security features, FSx for NetApp ONTAP supports complex simulations and computations essential in modern engineering. This service is designed to address the key engineering challenges, enabling companies to streamline operations and maintain a competitive edge in a rapidly evolving industry.
Accelerating Drug Discovery with AWS HealthOmics and NVIDIA Blueprints
The field of drug discovery is experiencing a paradigm shift with the introduction of AWS HealthOmics and NVIDIA Blueprints. As the urgency to discover new therapies intensifies, the drug discovery process remains intricate and time-consuming. Leading biotech and biopharma companies are leveraging Biological Foundation Models (BioFMs), a sophisticated type of generative AI model, to drive faster breakthroughs. AWS and NVIDIA are collaborating to provide a powerful platform that accelerates drug discovery by processing biological data with unprecedented speed and accuracy. This synergy enhances the ability of researchers to uncover life-changing therapies, marking a significant advancement in the healthcare industry.
Read the full blog posts from AWS
- How Toyota migrated Drivelink Safety Connect with zero-downtime to AWS
- AWS Retail & Consumer Goods Symposium: London, Gives Glimpse into the Future of the Industry
- The Business and Engineering Benefits of FSx for NetApp ONTAP for Product Engineering Workloads
- Accelerating Drug Discovery with AWS HealthOmics and NVIDIA Blueprints
AWS Messaging & Targeting Blog
Securing Communications at the Edge with AWS Wickr
Organizations aiming to establish secure communication networks at the edge often face significant challenges. This is especially true when disparate collaboration tools are used on both personal and government-issued devices, which can complicate efforts to protect sensitive data and prevent communication gaps. The blog post identifies four key communication issues commonly encountered when operating in disconnected or intermittently connected environments. These issues focus on the need for secure, reliable, and efficient communication solutions that can function seamlessly across diverse devices and networks.
Challenges in Disconnected Environments
Disconnected environments pose a unique set of communication challenges, including the protection of sensitive data during transit and ensuring secure communication channels. Organizations often struggle to maintain data integrity and confidentiality, particularly when dealing with a mix of personal and government-issued devices. The issue is compounded by the use of multiple collaboration tools, which can lead to inefficiencies and potential security vulnerabilities.
Leveraging AWS Wickr
AWS Wickr provides a robust solution to these challenges by offering end-to-end encrypted communication capabilities. It enables secure messaging, voice, and video calls, ensuring that sensitive information remains protected even in challenging environments. The platform supports a wide range of devices and integrates seamlessly with existing infrastructure, reducing the risk of communication gaps and data breaches.
How KeyCore Can Help
KeyCore, as the leading AWS consultancy in Denmark, can assist organizations in deploying AWS Wickr to establish secure communication networks at the edge. With our expertise in AWS technologies, we can provide tailored solutions that address specific communication challenges and enhance data security. Our professional and managed services ensure that your organization can leverage AWS Wickr effectively, optimizing your communication workflows and safeguarding sensitive information. For more details on how KeyCore can assist, visit our website at KeyCore.dk.
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AWS Marketplace
The healthcare industry is undergoing a revolution, driven by cloud innovation. Key healthcare providers are leveraging cloud technology to enhance patient care, reduce operational costs, and improve organizational transparency. Recently, a webinar provided valuable insights into these advancements, showcasing real-world examples of how cloud solutions are making a difference in healthcare.
Among the primary benefits highlighted was the ability to streamline operations and boost efficiency. By adopting cloud-based solutions, healthcare organizations can improve data management, enhance patient engagement, and facilitate better communication across departments. Furthermore, these technologies help reduce the administrative burden, allowing healthcare professionals to focus more on patient care.
Another key takeaway from the webinar was the importance of transparency within healthcare organizations. Cloud solutions enable better data sharing and collaboration, which fosters trust and accountability. This transparency is vital for improving patient outcomes and ensuring compliance with regulatory standards.
Selling to customers in India through the AWS Marketplace involves certain tax documentation requirements. Sellers need to understand the key tax documents that customers might request to ensure a smooth sales process. Having these documents readily available not only streamlines sales transactions but also facilitates timely payments.
It’s crucial for third-party sellers to stay informed about the tax regulations in India to avoid any compliance issues. Understanding the nuances of these requirements helps maintain a good relationship with customers and ensures that transactions are processed without unnecessary delays.
Integrating Amazon Q Developer with JumpCloud enhances developer productivity and security by enabling seamless authentication. By configuring JumpCloud as an external Identity Provider (IdP) within AWS IAM Identity Center, organizations can leverage existing JumpCloud credentials for authentication, simplifying access management.
The integration involves a few key steps: subscribing to JumpCloud, setting it up as an external IdP, and enabling automatic user provisioning. This streamlined approach reduces the complexity of managing developer access while enhancing security measures by utilizing a centralized authentication system.
Overall, this integration not only boosts productivity by reducing login hassles but also enhances security through robust identity management practices.
How KeyCore Can Assist
KeyCore offers expert guidance and services to help organizations maximize their AWS investments. Whether it’s integrating cloud solutions in healthcare, navigating tax documentation for AWS Marketplace sales in India, or enhancing security and productivity through system integrations, KeyCore can provide tailored solutions. Our team of AWS specialists can assist with implementing these technologies and ensuring your business achieves its goals efficiently and effectively.
Read the full blog posts from AWS
- Cloud innovation: How top healthcare providers are enhancing care
- Tax Documentation for Selling to Customers in India in AWS Marketplace
- Boost developer productivity and security with Amazon Q Developer and JumpCloud integration
The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
Strengthening Security in the Era of Generative AI
Generative AI is revolutionizing industries, offering innovative solutions and transforming business landscapes. In this dynamic environment, Amazon Web Services (AWS) emphasizes security as a critical enabler for organizations aiming to innovate safely. At AWS re:Invent 2024, key sessions will focus on reinforcing security amidst the rise of generative AI. These sessions are designed to equip attendees with the latest security strategies and best practices, ensuring that their AI-driven initiatives remain secure.
Participants will gain insights into AWS’s security-first approach, exploring how to integrate advanced security measures within AI frameworks. This includes understanding the latest tools and techniques to safeguard data, maintain compliance, and manage risks effectively. By attending these sessions, organizations can enhance their security posture while fully leveraging the potential of generative AI.
Active Defense Strategies at AWS
AWS is committed to maintaining customer trust through proactive security measures. Active defense involves anticipating potential security threats and implementing strategies to mitigate them before they impact customers. AWS designs its services with security as a core component, ensuring that customers can focus on their workloads without worrying about underlying threats.
This proactive approach includes ongoing threat assessments and the development of robust security infrastructures. By leveraging AWS’s active defense strategies, customers benefit from a secure environment that supports innovation and operational continuity. AWS’s dedication to security helps businesses maintain high levels of trust and reliability in their cloud operations.
Decentralizing Security Notifications with AWS Service Catalog
Organizations often face challenges in responding to security incidents quickly and effectively. AWS Service Catalog offers a solution by decentralizing security notifications, enabling faster incident response times. This approach allows organizations to distribute security alerts based on specific configurations and policies, ensuring that the right teams receive timely information.
By utilizing AWS Service Catalog, companies can streamline their incident response processes, reducing the time it takes to address security findings. This improves overall security posture by ensuring that potential vulnerabilities are promptly identified and mitigated. Implementing decentralized notifications aligns with best practices for efficient and responsive security management within cloud environments.
How KeyCore Can Help
KeyCore, as the leading AWS consultancy in Denmark, is well-positioned to assist organizations in enhancing their security measures across various domains, including generative AI, active defense, and decentralized security notifications. Our expertise in AWS services ensures that businesses can leverage the latest technologies and strategies effectively.
KeyCore offers tailored solutions, combining professional and managed services, to address specific security needs. Whether it’s through designing secure AI frameworks, implementing proactive defense strategies, or optimizing incident response systems, KeyCore provides the necessary support to enhance security and drive innovation confidently.
Read the full blog posts from AWS
- Strengthening security in the era of generative AI: Must-attend sessions at re:Invent 2024
- How AWS uses active defense to help protect customers from security threats
- Improve security incident response times by using AWS Service Catalog to decentralize security notifications
AWS Contact Center
The modern landscape of customer interaction is evolving rapidly. Companies are increasingly adopting artificial intelligence (AI) to enhance customer experiences. One prominent innovation in this domain is Amazon Q, integrated into Amazon Connect. This tool leverages AI to personalize agent assistance, transforming how businesses interact with their customers.
Revolutionizing Customer Interactions
Amazon Q in Connect provides a platform where every customer interaction is informed by a wealth of relevant data. It enables AI-driven insights to tailor the customer service experience. The primary objective is to empower contact center agents to deliver highly personalized service. This personalization helps businesses differentiate themselves in a competitive market. Customers today expect interactions that are uniquely tailored to their needs, and Amazon Q is designed to meet those expectations.
How Amazon Q Works
Amazon Q integrates seamlessly with Amazon Connect, bringing the power of AI directly to the contact center. By analyzing customer data and interaction history, it provides agents with actionable insights and recommendations in real-time. This means that agents can anticipate customer needs and offer solutions that are not only relevant but also timely. The result is a more efficient and satisfying customer service experience, where queries are resolved more quickly and accurately.
Business Value of Personalization
The ability to personalize customer interactions is a significant business advantage. It enhances customer satisfaction and loyalty, which can lead to increased sales and customer retention. By providing agents with the tools they need to understand and anticipate customer needs, businesses can improve their overall service quality. Moreover, AI-driven personalization reduces the burden on agents, allowing them to focus on more complex issues rather than routine queries.
How KeyCore Can Help
As an AWS consultancy, KeyCore is uniquely positioned to assist businesses in leveraging Amazon Q within their contact centers. Our expertise in AWS services enables us to design, implement, and optimize Amazon Connect solutions tailored to your specific needs. Whether your goal is to enhance customer service or improve operational efficiency, KeyCore can provide the guidance and support necessary to achieve these objectives. Visit KeyCore to learn more about how we can transform your contact center with Amazon Q.
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Innovating in the Public Sector
Building Secure and Scalable Data Platforms for EHDS with AWS
The European Health Data Space (EHDS) aims to promote the secure and efficient use of healthcare data for secondary purposes across Europe. AWS provides a robust platform to build secure and scalable infrastructure to support this initiative. The first part of a series, this post outlines the reference architecture that healthcare organizations and partners can adopt. This architecture ensures compliance with EHDS regulations, enabling stakeholders to leverage health data for research and policy-making while maintaining data privacy and security.
AWS and USAID Boost Armenia’s Digital Resilience
A recent collaboration between the United States Agency for International Development (USAID) and AWS marks a significant step in enhancing Armenia’s digital infrastructure. USAID Administrator Samantha Power announced a $5 million fund aimed at accelerating Armenia’s cloud journey. Delivered through the USAID EDGE Fund, this initiative seeks to harness the power of private sector innovation to tackle global challenges. By adopting AWS, Armenia benefits from improved digital resilience and capacity building, fostering economic development and technological growth.
Driving Sustainability with AWS: NPOs and NGOs in EMEA
Nonprofit and nongovernmental organizations in the EMEA region are increasingly turning to AWS to advance their sustainability goals. AWS technologies enable these organizations to address environmental challenges and secure a sustainable future. By leveraging cloud solutions, NPOs and NGOs can overcome digital transformation barriers, improve operational efficiency, and enhance collaboration. AWS provides resources and tools to support these organizations in their mission to make a positive environmental impact.
Acentra Health: Revolutionizing Medicare Document Processing with AWS
Acentra Health has significantly improved its document processing capabilities by implementing an Intelligent Document Processing (IDP) solution on AWS. This solution processes Medicare documents 50% faster, optimizing data entry from complex patient records. By reducing processing times and costs, Acentra Health can more efficiently support Medicare beneficiaries in filing quality-of-care complaints and appeals, enhancing service delivery and client satisfaction.
Thorn’s Internal Customer Support Transformation with Generative AI on AWS
Thorn has successfully leveraged AWS and generative AI to transform its internal customer support system. By integrating AI-driven solutions, Thorn enhances the efficiency of addressing IT, security, and engineering ticket requests. This technological advancement not only boosts productivity but also positively impacts employee well-being, allowing the organization to focus more on its mission. Such innovations in AI and cloud technology are pivotal in elevating organizational support mechanisms.
How KeyCore Can Help
KeyCore stands ready to assist organizations looking to innovate and transform using AWS. With expertise in AWS technologies, KeyCore provides tailored consultancy and managed services to help build secure infrastructures, implement efficient processing systems, and adopt sustainable practices. By partnering with KeyCore, organizations can navigate the complexities of digital transformation with confidence and achieve strategic goals efficiently.
Read the full blog posts from AWS
- Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS
- AWS and USAID accelerate Armenia’s cloud journey and digital resilience
- How NPOs and NGOs embrace digital transformation for sustainability with AWS
- Acentra Health processes 35M Medicare documents 50% faster with IDP on AWS
- Elevating internal customer support at Thorn with AWS: A generative AI use case