Amazon Web Services (AWS)

Amazon Managed Workflows for Apache Airflow (Amazon MWAA), is a managed Apache Airflow service used to extract business insights across an organization by combining, enriching, and transforming data through a series of tasks called a workflow. It enhances infrastructure security and availability while reducing operational overhead. Today, we’re excited to announce mw1.micro, the latest addition to Amazon MWAA environment classes. This offering is designed to provide an even more cost-effective solution for running Airflow environments in the cloud. With mw1.micro, we’re bringing the power of Amazon MWAA to teams who require a lightweight environment without compromising…

AWS Lake Formation makes it straightforward to centrally govern, secure, and globally share data for analytics and machine learning (ML). With Lake Formation, you can centralize data security and governance using the AWS Glue Data Catalog, letting you manage metadata and data permissions in one place with familiar database-style features. It also delivers fine-grained data access control, so you can make sure users have access to the right data down to the row and column level. Lake Formation also makes it straightforward to share data internally across your organization and externally, which lets you create a data mesh or meet other data sharing needs with no data mo…

In the first part of this series, we demonstrated how to implement an engine that uses the capabilities of AWS Lake Formation to integrate third-party applications. This engine was built using an AWS Lambda Python function. In this post, we explore how to deploy a fully functional web client application, built with JavaScript/React through AWS Amplify (Gen 1), that uses the same Lambda function as the backend. The provisioned web application provides a user-friendly and intuitive way to view the Lake Formation policies that have been enforced. For the purposes of this post, we use a local machine based on MacOS and Visual Studio Code as our integrated development envi…

Organizations of all sizes and types are using generative AI to create products and solutions. A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. In semantic search, documents are stored as vectors, a numeric representation of the document content, in a vector database such as Amazon OpenSearch Service, and are retrieved by performing similarity search with a vector representation of the search query. In a real-world scenario, organizations want to make sure their users access only documents they are entitled to access. They are looking for a reliable and scalable solution to…

Introduction Running microservice-style architectures in the cloud can quickly become a complex operation. Teams must account for a growing number of moving pieces, such as multiple instances of independent workloads, along with their infrastructure dependencies. These components can then be distributed across different topology domains, such as multiple Amazon Elastic Compute Cloud (Amazon EC2) instances, Availability Zones (AZs), or AWS Regions. Kubernetes alleviates some of the operational burden of setting up and managing these environments by automatically deploying container workloads and infrastructure based on the previously mentioned topologies. However, because…

In this blog, you’ll learn how to enhance your cloud development skills and stay ahead by utilizing ChatGPT’s capabilities. Cloud development covers building, testing, deploying, and managing software in the cloud, with cloud developers designing and deploying applications on platforms like AWS. Earning the AWS Certified Developer Associate certification equips you with the essential skills to excel in this field. Explore how ChatGPT can complement your expertise and streamline your development process. How the AWS Developer Associate Certification Prepares You for Cloud Deployment If you have practical experience using AWS for about a year or more, you can pursue t…

AWS is committed to supporting customers in their transition to the cloud by offering a comprehensive training and resources for migrating VMware workloads to the AWS Cloud. Our training portfolio covers every stage of the migration process, from initial planning/migration, to modernization, and finally managing VMware workloads on AWS. By equipping customers with the necessary knowledge and skills, AWS empowers them to confidently navigate their VMware to AWS, unlocking the full benefits of the cloud. In this blog we’ll share the training options available to learners of various backgrounds and roles, from beginners and business leaders, to IT professionals, and VMware…

With AWS re:Invent 2024 just weeks away, the excitement is building and we’re looking forward to seeing you all soon. If you’re attending re:Invent with the goal of improving your organization’s cloud resilience operations, we will be offering valuable insights, best practices, and fun activities to improve your cloud resilience expertise. This year, we’re offering more than 100 resilience breakout sessions, workshops, chalk talks, builders’ sessions, and code talks. Find the complete list in the re:Invent 2024 session catalog and filter by “Resilience” in the area of interest field. In this post, we highlight must-see sessions for those building resilient application…

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) is a managed Kubernetes service to run Kubernetes in the AWS cloud and on-premises data centers. In the cloud, Amazon EKS automatically manages the availability and scalability of the Kubernetes control plane nodes responsible for scheduling containers, managing application availability, storing cluster data, and other key tasks. However, maintaining the health and performance of the workloads running in the cluster is a collaborative effort between Amazon EKS and users. Certain workload behaviors or configurations can add load on the control plane, leading to performance degradation. In these scenarios, access …

This week, we wrapped up the final 2024 Latin America Amazon Web Services (AWS) Community Days of the year in Brazil, with multiple parallel events taking place. In Goiânia, we had Marcelo Palladino, senior developer advocate, and Marcelo Paiva, AWS Community Builder, as keynote speakers. Florianópolis feature Ana Cunha, senior developer advocate, and in Santiago de Chile, I had the honor to share the stage with Rossana Suarez, AWS Container Hero, as keynote speakers. These events, organized by communities for communities, provide opportunities to network, learn something new, and immerse yourself in the community. In a community, everyone grows together, and no one is le…

Introduction AWS re:Invent 2024, the annual Amazon Web Services conference, is fast approaching. This year’s event will feature a full track of sessions focused on Kubernetes and other cloud-native technologies. To help you navigate the extensive session catalog, we’ve compiled a list of sessions around Kubernetes and cloud-native related topics. They have been grouped by core topic area, with direct links to the full session details in the re:Invent sessions catalog. Go ahead and start reserving sessions now in the attendee portal catalog. If you’re unable to secure a reserved seat for a session you’re interested in, walk-up seats are available for most session types. …

Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. AI recommendations for descriptions are available today in Amazon DataZone. With AI-generated descriptions in Amazon DataZone, data consumers have these recommended descriptions to identify data tables and columns for analys…

This is a guest post by FINRA (Financial Industry Regulatory Authority). FINRA is dedicated to protecting investors and safeguarding market integrity in a manner that facilitates vibrant capital markets. FINRA performs big data processing with large volumes of data and workloads with varying instance sizes and types on Amazon EMR. Amazon EMR is a cloud-based big data environment designed to process large amounts of data using open source tools such as Hadoop, Spark, HBase, Flink, Hudi, and Presto. Monitoring EMR clusters is essential for detecting critical issues with applications, infrastructure, or data in real time. A well-tuned monitoring system helps quickly iden…

It’s AWS re:Invent time, where you turn your ideas into reality. Get a front row seat to hear real stories from AWS customers, experts and leaders about navigating pressing topics like generative AI and data analytics. For data enthusiasts and data professionals alike, this blog is a curated and comprehensive guide to all analytics sessions, for you to efficiently plan your itinerary. Secure your spot early for must-attend sessions through the attendee portal. Can’t join in person? No worries – grab a free pass to stream live sessions online. Join us at the AWS Analytics Kiosk in the AWS Village Expo to get your data questions answered by AWS experts, to dive deeper i…

Many organizations specializing in communications and navigation surveillance technologies are required to support multi-modal transportation supply chain markets such as road, water, air, space, and rail. One common use case is provisioning of emergency alerts services for multiple government agencies. These organizations use third-party satellite-powered terminal devices for remote monitoring using telemetry and NMEA-0183 formatted messages generated in near real time. This post demonstrates how to implement a satellite-based remote alerting and response solution on the AWS Cloud to provide time-critical alerts and actionable insights, with a focus on telemetry messag…

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures. As organizations adopt various open table formats to suit their specific needs, the demand for interoperability between these formats has grown significantly. This interoperability is crucial for enabling seamless data access, reducing data silos, and fostering a more flexible and efficient data ecosystem. Delta Lake UniForm is an open table format extension de…

This is a joint post co-authored with Martin Mikoleizig from Volkswagen Autoeuropa. This second post of a two-part series that details how Volkswagen Autoeuropa, a Volkswagen Group plant, together with AWS, built a data solution with a robust governance framework using Amazon DataZone to become a data-driven factory. Part 1 of this series focused on the customer challenges, overall solution architecture and solution features, and how they helped Volkswagen Autoeuropa overcome their challenges. This post dives into the technical details, highlighting the robust data governance framework that enables ease of access to quality data using Amazon DataZone. At Amazon, we wo…

A good strategy for resilience will include operating with high availability and planning for business continuity. It also accounts for the incidence of natural disasters, such as earthquakes or floods and technical failures, such as power failure or network connectivity. AWS recommends a multi-AZ strategy for high availability and a multi-Region strategy for disaster recovery. In this post, we explore how one of our customers, a US-based insurance company, uses cloud-native services to implement the disaster recovery of 3-tier applications. At this insurance company, a relevant number of critical applications are 3-tier Java or .Net applications. These applications req…

ComfyUI is an open-source node-based workflow solution for Stable Diffusion and increasingly being used by many creators. We previously published a blog and solution about how to deploy ComfyUI on AWS. Typically, ComfyUI users use various custom nodes, which extend the capabilities of ComfyUI, to build their own workflows, often using ComfyUI-Manager to conveniently install and manage their custom nodes. Following our blog post, we received numerous customer requests to integrate ComfyUI custom nodes into our solution. This post will guide you through the process of integrating custom nodes within ComfyUI-on-EKS. Architecture overview Figure 1. Architecture dia…

Happy 20th Anniversary of the AWS News Blog! On November 9, 2004, Jeff Barr published his first blog post. At the time, he started a personal blog site using TypePad. He wanted to speak to his readers with his personal voice, not the company or team. On April 29, 2014, we created a new AWS blog site and migrated all posts to that page. There are currently over 4,300 posts on the AWS News Blog, with Jeff contributing over 3,200 of them. Since December 2016, the AWS News Blog has added new writers, but we are still following Jeff’s leadership principals for AWS News Bloggers in accordance with Day One. What’s unique about the AWS News Blog is that the blog writers g…

Understanding the best practices in AWS ML workflows will not only earn you an AWS certification but also enable you to optimize and automate ML models on an advanced level. This article will explore some of the best practices when working with ML workflows and automation on AWS so that you’re not only successful in certification but also practical applications. Keep reading to find out more. How Machine Learning (ML) Workflow on AWS Works? To understand Machine Learning Workflow on AWS, there are several steps one needs to be conversant with for a model to be transformed from a concept to production. These steps include: Step1: Data Collection & Preparation Da…

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) now supports Amazon Application Recovery Controller (ARC). ARC is an AWS service that allows you to prepare for and recover from AWS Region or Availability Zone (AZ) impairments. ARC provides two sets of capabilities: Multi-AZ recovery, which includes zonal shift and zonal autoshift, and multi-Region recovery, which includes routing control and readiness check. With this launch, we’ve extended the support for zonal shift and zonal autoshift capabilities to Amazon EKS, which were previously available only for AWS Application Load Balancers (ALBs) and Network Load Balancers (NLBs). The ARC zonal shift and zona…

As organizations move from dabbling in generative artificial intelligence (AI) to building customer-facing applications, having a skilled team is crucial for project success. You can leverage AWS Training courses and certification to upskill your team, ensuring they are prepared for your next generative AI project. Imagine you are staffing a generative AI project with defined business outcomes, stakeholders, and AWS services. However, you discover your team lacks the necessary skills, and the understanding of generative AI varies among team members and stakeholders. Fortunately, AWS offers tailored training courses and learning plans for business decision makers, data s…

When deploying software, it’s critical to have visibility into all stages of the deployment process. Knowing the status of ongoing deployments, troubleshooting issues when things go wrong, and having an audit trail of past deployments are essential for ensuring a safe and reliable release process. Amazon Elastic Container Service (Amazon ECS) now provides enhanced observability features to address these needs. With service deployments and service revisions, you can gain deeper insights into your Amazon ECS-based application deployments. In Amazon ECS, a service is a resource that runs long-running applications, where a group of identical tasks are deployed, managed, and…

We are excited to announce the availability of enhanced and expanded guidance for the AWS Well-Architected Framework with the following six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability This release includes new best practices and improved prescriptive implementation guidance for the existing best practices. This includes enhanced recommendations and steps on reusable architecture patterns focused on specific business outcomes. A brief history The Well-Architected Framework is a collection of best practices that allow customers to evaluate and improve the design, implementation, and operations of…

This post was co-written with Sagar Bedmutha, senior solutions architect at Tata Consultancy Services, and Rajiya Patan, AWS developer at Tata Consultancy Services Service excellence helps cultivate customer satisfaction and brand loyalty. According to Gartner, one service excellence challenge is long wait times on interactive voice response (IVR) systems. Long wait times can translate into frustrated customers and potentially lost business. To maintain and grow business, companies must examine the shape of their customer service—avoiding long wait times, offering alternative communication channels such as chat, and designing easier-to-use, more efficient systems. Ama…

This post was created in collaboration with Infinitium Engineering Team. Introduction Infinitium (a Euronet Company) is a leading digital payments company in Southeast Asia, specializing in secure online payment solutions and risk management services. With a strong presence across the Asia Pacific region, Infinitium offers cutting-edge technologies such as 3D Secure (3DS) authentication, fraud detection systems, and next-generation payment gateway services. The company’s solutions are used by a network of 60 banks and serve approximately 180 million card users globally. Infinitium’s focus on cloud-based, highly configurable solutions for multi-payment methods and omni-…

Data is the fuel for AI; modern data is even more important for generative AI and advanced data analytics, producing more accurate, relevant, and impactful results. Modern data comes in various forms: real-time, unstructured, or user-generated. Each form requires a different solution. AWS’s data journey began with Amazon Simple Storage Service (Amazon S3) in 2006, marking the start of cloud-based data storage at scale. Since then, AWS has expanded its data offerings to cover the entire data lifecycle, offering a comprehensive ecosystem of services designed to harness the full potential of modern data, from ingestion and storage to processing and analysis, supporting the e…

Darrin Long had been working in the tech industry for several years, but he felt like something was missing. Burnt out and suddenly finding himself unemployed due to layoffs, he was at a crossroads and unsure of what to do next after investing many years in IT. Still passionate about tech, Darrin was streaming AWS’s flagship event, AWS re:Invent, when he realized his future could be in cloud computing. “Here I was streaming this cloud event in my free time and it dawned on me that I was really intrigued and excited by the cloud,” Darrin shared. “I realized that pivoting there could reinvigorate my career, without requiring me to leave tech entirely.” That’s when he di…

In the race for artificial intelligence (AI)-skilled talent, organizations and individuals alike want to stand out. To help organizations validate AI and machine learning (ML) skills within their existing staff and when hiring new employees, and to help individuals showcase their knowledge and practical skills in AI and ML, we launched two new AWS Certifications: AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer – Associate, with associated exam prep materials for each. This blog outlines how organizations globally are making strategic business investments to train and certify their employees in AI and ML, as well as two new limited-time incentiv…

Welcome to October’s post announcing new training course launches and certification updates — helping equip you and your teams with the skills to work with AWS services and solutions. Missed our September course update? Check it out here. This month, we launched 17 new digital training products on AWS Skill Builder including 6 new generative AI digital courses. In addition, registration is now open for the standard version of the AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer – Associate exams. Plus, when you earn either of these new AWS Certifications on or before February 15, 2025, you will receive a limited-edition Early Adopter badge in …

In today’s fast-paced digital landscape, gamified learning has emerged as a powerful tool to engage and empower individuals in their professional development. AWS Jam is a unique form of immersive learning in the cloud computing domain that offers an engaging approach to developing AWS skills. This blog post explores the inner workings of AWS Jam and examines the reasons why this innovative learning experience is ideal for cloud enthusiasts, professionals, and organizations alike. Through AWS Jam, learners immerse themselves in simulated, real-world scenarios, applying their AWS knowledge and problem-solving abilities in a dynamic, competitive environment. AWS Jam is av…

In this blog let’s discuss the various protection measures against DDoS attacks including the AWS Shield in its various forms, edge locations, resilient infrastructure, and integration of best security practices. We will also learn how the AWS Certified Security Specialty certification equips professionals with the tools and knowledge necessary to proactively protect their cloud environments. In a DDoS attack, malicious actors using multiple machines generate large volumes of packets or requests that overwhelm the target system and aim to disrupt the normal traffic of a targeted system. AWS cloud environments are susceptible to the adverse effects of distributed denial-…

In Part 1 of this series, we used a floating virtual IP (VIP) to achieve hands-off high availability (HA) of WebLogic Admin Server. In Part 2, we’ll achieve an arguably superior solution using Domain Name System (DNS) resolution. Using a DNS to resolve the address for WebLogic admin server Let’s look at the reference WebLogic deployment architecture on AWS shown in Figure 1. Figure 1. Reference WebLogic deployment with multi-AZ admin HA capability This solution comes in two parts: Configure the environment to use DNS to locate the admin server. Create a mechanism to automatically update the DNS entry when the admin server is launched. Environment c…

In Part 1, we explored Moka’s high-level design and logging infrastructure, showcasing how AWS for Fluent Bit, Amazon S3, and a robust logging framework make sure of operational visibility and facilitate issue resolution. For more details, read part 1 here. Introduction As we transition to the second part of our series, our focus shifts to metrics and observability within the Moka platform. Observability is crucial for making sure of the stability, performance, and efficiency of any Kubernetes (K8s) platform, and Amazon Elastic Kubernetes Service (Amazon EKS) is no exception to this. In this section, we delve into the strategies and tools that Pinterest uses to monitor…

This is Part 1 of the blog post. Introduction Pinterest is a visual search and curation platform focused on inspiring users to create a life they love. Critical to the service are data insights, recommendations and machine learning (ML) models that are produced by synthesizing insights provided by the over 500 million monthly active users (MAUs) that use Pinterest. In the past, much of this work was performed by Monarch, Pinterest’s Hadoop based batch processing platform, which, at the last count, totaled around 14K nodes across many clusters and processed more than 120PB of data daily. However, including maintenance difficulties and inability to easily leverage perfor…

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex instances that deliver up to 19% better price performance compared to C6i instances, are available in Asia Pacific (Seoul) and Europe (Frankfurt) regions. C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads. The new instances are powered by the 4th generation Intel Xeon Scalable custom processors (Sapphire Rapids) that are available only on AWS, and offer 5% lower prices compared to C7i. C7i-flex instances offer the most common sizes, from large to 8xlarge, and are a great first choi…

AWS CodePipeline V2 type pipelines introduces the ability to automatically retry a stage if there is a failure in the stage. A stage fails if any action in the stage fails. To use automatic retry, set “Retry” as the result for the on failure lifecycle event of a stage, and optionally configure the flag to retry the stage from the first action or from the failed actions. When a pipeline execution fails any action in the stage, then the pipeline execution will be retried in the stage once. Automatic retry can be useful for a stage with actions that can experience transient errors. Instead of failing the pipeline execution, you can automatically retry the pipeline executi…

In today’s rapidly evolving tech landscape, hands-on experience and practical skills are crucial to keep pace and help you stand out to potential employers. AWS recognizes this need and offers engaging and interactive learning resources such as AWS Cloud Quest and AWS Jam. These learning experiences provide participants with an immersive environment that not only teaches technical concepts but also cultivates real-world competencies. Let’s explore how these innovative learning initiatives help individuals build tangible skills that are applicable in professional settings. AWS Cloud Quest AWS Cloud Quest is a game-based learning experience designed to make mastering AWS…

Amazon Q Business is a fully managed, generative AI–powered assistant that enhances workforce productivity by answering questions, providing summaries, generating content, and completing tasks based on customers’ enterprise data. Q Business supports over 40 connectors that customers can use to automatically sync data from selected data sources, so that they can securely search through the most up-to-date content. When you connect Amazon Q Business to your data, your data source connector crawls relevant metadata or attributes associated with a document. Starting today, you can enable Q Business to use the connector metadata to get more relevant responses for user queri…

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are now available in Europe (Zurich, Stockholm), Asia Pacific (Mumbai, Sydney), and South America (Sao Paulo) regions. G6 instances can be used for a wide range of graphics-intensive and machine learning use cases. Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization as well as graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 G…

Thousands of enterprises use Amazon Q Business today to empower their employee’s to be more creative, data-driven, and productive. Now, application developers can extend the power of Amazon Q Business to their end users by embedding an AI-powered assistant into their user interface. This new feature of Amazon Q Business offers a no-code setup process, where application developers quickly index their application data, technical documentation, and public website content. Once data is indexed, authenticated end users who are logged into an application can use the assistant to summarize projects, ask UI navigation questions, or get answers to technical support questions. C…

AWS CodeBuild now supports managed network access control lists (NACLs) for reserved capacity fleets. Customers can define rules to control network traffic in and out of their build environment. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment. NACLs are an optional layer of security for your fleet that acts as a firewall for controlling traffic in and out of your build environment. Customers using reserved capacity can configure rules to allow or deny traffic for external sites. Builds running on the fleet will route their network traffic through a CodeBuild manag…

Amazon Simple Email Service (SES) now offers a new delivery option that allows you to set a custom maximum delivery time for your emails. With this feature, you can define how long SES should attempt to deliver emails that encounter temporary issues such as soft bounces, with options ranging from 5 minutes to 14 hours. The maximum delivery time setting enables you to effectively control your email delivery strategy, ensuring that emails are sent within a timeframe that suits your business needs. This is particularly relevant for time-sensitive emails such as one-time passwords, or when sending email to regions where overnight deliveries are likely to result in complain…

Amazon EC2 Dedicated Hosts now supports live migration for host maintenance to improve application uptime and reduce your operational effort. In the event a host requires maintenance, AWS will allocate a replacement Dedicated Host and move your instances to the new host. You are not required to take any action prior to, during, or after live migration. Amazon EC2 Dedicated Hosts are physical servers fully dedicated for your use. Bring-your-own-license (BYOL) customers can use Dedicated Hosts to reduce costs for commercial software workloads like Microsoft SQL Server. AWS regularly monitors the health of your hosts. In the rare event of a degradation or for planned host…

Now generally available, Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift enables near real-time analytics and machine learning (ML) using Amazon Redshift to analyze petabytes of transactional data from Aurora. Within seconds of transactional data being written into Amazon Aurora PostgreSQL-Compatible Edition, zero-ETL seamlessly makes the data available in Amazon Redshift, removing the need to build and manage complex data pipelines that perform extract, transform, and load (ETL) operations. Aurora PostgreSQL zero-ETL integration with Amazon Redshift is available for Aurora provisioned clusters and Amazon Aurora Serverless v2 clusters. Zero-ETL integrat…

Amazon Relational Database Services (Amazon RDS) and Amazon Aurora databases now support 1-click connection to an Amazon Elastic Compute Cloud (Amazon EC2) compute instance during database creation in AWS GovCloud (US) Regions. When provisioning a database using the Amazon RDS console, you now have the option to select an EC2 instance and with a single click establish connectivity between the database and the EC2 instance, following AWS recommended best practices. Amazon RDS automatically sets up your VPC and related network settings during database creation to enable a secure connection between the EC2 instance and the RDS database. This eliminates the additional n…

Amazon RDS for MariaDB now supports MariaDB major version 11.4, the latest long-term maintenance release from the MariaDB community. Amazon RDS for MariaDB 11.4 now supports the Simple Password Check Plugin, and Cracklib Password Check Plugin for password validation. You can use these plugins together, or individually to enforce the security policies appropriate for your organization. MariaDB 11.4 major version also includes improvements to database-level privileges, replication, and the InnoDB storage engine made by the MariaDB community. Learn more about these community enhancements in the MariaDB 11.4 release notes. You can leverage Amazon RDS Managed Blue/Green dep…

Today, AWS announced the general availability of Linux support for Finch, an open source command line tool that allows developers to build, run, and publish Linux containers. Finch simplifies container development by bundling a minimal native client with a curated selection of open-source components, allowing developers to build and manage containers without the hassle of managing intricate details. With the addition of Linux support, Finch now provides a consistent and streamlined container development experience across all major operating systems. Developers can leverage the same familiar Finch commands to build, run, and publish their containers, whether they are wo…

Amazon DynamoDB zero-ETL integration with Amazon Redshift is now generally available, enabling customers to run high-performance analytics on their DynamoDB data in Amazon Redshift with no impact on production workloads running on DynamoDB. As data is written into a DynamoDB table, it is seamlessly made available in Amazon Redshift, eliminating the need for customers to build and maintain complex data pipelines for performing extract, transform, and load (ETL) operations. You can create zero-ETL integration on a Amazon Redshift Serverless workgroup or Amazon Redshift provisioned cluster using RA3 instance types. Zero-ETL integrations help you derive holistic insights a…

AWS IAM Identity Center now provides customers with streamlined first-time access to the AWS Console Mobile Application, reducing the required user actions by more than half. In the past, AWS IAM Identity Center customers who wanted to access the AWS Console Mobile Application were required to find and manually enter their AWS access portal sign in URL. With this release, users can scan a QR code on their AWS Access Portal page using their mobile device. An application link takes them directly to the AWS Console Mobile Application and pre-populates the sign in URL for their AWS access portal. The Console Mobile Application lets users view and manage a select set of …

We are excited to announce that Amazon OpenSearch Serverless is expanding availability to the Amazon OpenSearch Serverless to Asia Pacific (Seoul) and Europe (Zurich) regions. OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that makes it simple to run search and analytics workloads without the complexities of infrastructure management. OpenSearch Serverless’ compute capacity used for data ingestion, search, and query is measured in OpenSearch Compute Units (OCUs). You will be able to configure maximum number of OCUs per account to to control costs. The support for OpenSearch Serverless is now available in 16 regions globally: US Ea…

Amazon Elastic File System (Amazon EFS) has increased the maximum filesystem read throughput to 60 GiB/s (a 2x increase). Amazon EFS provides serverless, fully elastic file storage that makes it simple to set up and run file workloads in the AWS cloud. In August 2024, we increased the maximum Elastic Throughput limits to 30 GiB/s read to support the growing throughput demand for AI and machine learning workloads. Now, we are further increasing the read throughput limit to 60 GiB/s, extending EFS's simple, fully elastic, and provisioning-free experience to support throughput-intensive AI and machine learning workloads for model training, inference, financial analytics, …

Amazon AppStream 2.0 now supports custom shared network storage as a new storage option for your Windows AppStream 2.0 users. With the launch of this feature, users can easily access and collaborate on shared files without transferring files manually. The shared network storage is implemented as an SMB (Server Message Block) network drive. When administrators enable and map these SMB network drives, multiple users can access the same data during their AppStream 2.0 sessions. Changes made to the shared files are automatically backed up and synchronized. Additionally, the feature provides the advantage of scalable, shared storage resources, optimizing customer storage us…

We are pleased to announce general availability of Amazon EC2 G6e instances on SageMaker Studio notebooks. Amazon EC2 G6e instances are powered by up to 8 NVIDIA L40s Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. G6e instances deliver up to 2.5x better performance compared to EC2 G5 instances. Customers can use G6e instances to interactively test model deployment and for interactive model training use cases such as generative AI fine-tuning. You can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Amazon EC2 G6e instances are avai…

Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now support AWS Graviton3-based M7g database instances in Europe (Paris), and R7g database instances in Asia Pacific (Hong Kong) and Europe (Milan). With this regional expansion, Graviton3 database instances are now available for Amazon RDS in 21 regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Asia Pacific (Hong Kong, Hyderabad, Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm), and Middle East (Bahrain). For complete information on pricing and regional availability, please refe…

Starting today, you can assign the billing of unused Amazon EC2 On-Demand Capacity Reservations (ODCR) to any one of your organization accounts with which the reservation is shared. Capacity Reservations help you reserve compute capacity for any duration and share it across multiple accounts, enabling you to centrally pool and manage your reserved capacity. When a Capacity Reservation is shared, each account is billed for their respective usage of the reservation, while any unused capacity is by default billed to the account that owns the reservation. Now, depending on your business needs, you have the flexibility to configure which account gets billed for the unused capa…

Customers who are building their “Golden Image” Amazon Machine Images (AMIs) using EC2 Image Builder may wish to extend their Image Builder pipelines to build out their Amazon Elastic Kubernetes Service (Amazon EKS) worker nodes as well. In this blog, we will show you how to do this and provide you with AWS CloudFormation templates to get you started. In this post, we will use the concept of Image Builder Cascading Pipelines. The image created from the golden image pipeline will be the source image of the EKS worker node pipeline. Image Builder can run pipelines on a recurring schedule when dependencies, such as base images or components, are updated. Additionally, the …

Amazon Verified Permissions is now a Health Insurance Portability and Accountability Act (HIPAA) eligible service, enabling healthcare and life sciences organizations subject to HIPAA to use the service for permissions management. Amazon Verified Permissions is a permissions management and fine-grained authorization service for the applications that you build. Amazon Verified Permissions uses the Cedar policy language to enable developers and admins to define policy-based access controls using roles and attributes. For example, an patient management application might call Amazon Verified Permissions (AVP) to determine if Alice is permitted access to Bob’s patient records,…

Starting today, Amazon EC2 D3en instances, the latest generation of the dense HDD-storage instances, are available in the Asia Pacific (Sydney) region. D3en instances are ideal for workloads including distributed/clustered file systems, big data and analytics, and high capacity data lakes. With D3en instances, you can easily migrate from previous-generation D2 instances or on-premises infrastructure to a platform optimized for dense HDD storage workloads. Amazon EC2 D3en instances are built on the AWS Nitro System, a collection of AWS-designed hardware and software innovations that enable the delivery of private networking, and efficient, flexible, and secure cloud ser…

AWS Transfer Family now provides real-time status of file transfers initiated using SFTP connectors. With this capability, you can easily monitor the current state of your file transfer operations and orchestrate post-transfer actions to automate your Managed File Transfer (MFT) workflows in AWS. SFTP connectors provide a fully managed, low-code capability to transfer files between remote SFTP servers and Amazon S3. Now you can query the status of your file transfer operations on demand, such as which file transfers are completed, in-progress, queued, or failed. You can use this capability to orchestrate post-transfer actions based on file status, such as sending statu…

Amazon Redshift now supports the 'refresh interval' feature for zero-ETL integration, allowing you to control the frequency of data replication into Amazon Redshift. When you specify a non-zero refresh interval to your integration, the ongoing replication process will only start after the specified interval has elapsed. Amazon Redshift's zero-ETL integrations enable you to break down data silos in your organization and run near real-time analytics and machine learning (ML) on the data from your operational databases. Now, with the launch of refresh interval, you have the flexibility to control the frequency of data replication to Amazon Redshift. Existing integrations …

Today, AWS announces the general availability of Amazon Elastic Kubernetes Service (EKS) optimized accelerated AMIs for Amazon Linux 2023 (AL2023). EKS customers can now enjoy the improved security features, optimized boot times, and newer kernel versions of AL2023 for their workloads using NVIDIA GPU, AWS Inferentia, and AWS Trainium instances. These new AMIs are based on the Amazon EKS optimized AMI for AL2023 and include support for NVIDIA and AWS Neuron workloads. The EKS Optimized NVIDIA AMI includes NVIDIA drivers, NVIDIA Fabric Manager and NVIDIA container toolkit, and the EKS Optimized Neuron AMI includes the Neuron driver. Both AMIs also come with the software…

Announcing Amazon Q in AWS Supply Chain, an interactive generative artificial intelligence (GenAI) assistant that helps you operate your supply chain more efficiently by analyzing the data in your AWS Supply Chain Data Lake, providing important operational and financial insights, and answering urgent supply chain questions. It reduces the time users spend searching for relevant information, simplifies the process of finding answers, and minimizes the time spent to learn, deploy, configure, or troubleshoot AWS Supply Chain. Amazon Q in AWS Supply Chain will enable supply chain users to deep dive into their supply chain by asking questions and getting answers based on th…

Last week, AWS hosted free half-day conferences in London and Paris. My colleagues and I demonstrated how developers can use generative AI tools to speed up their design, analysis, code writing, debugging, and deployment workflows. These events were held at the GenAI Lofts. These lofts are open until October 25 (London) and November 5 (Paris). They will be packed with events, conferences, workshops, and meetups. If you’re around, be sure to check the agenda (London, Paris). Our well-known AWS News blog co-author Veliswa did an amazing demo. She live-coded a Duolingo-like app from scratch, just using suggestions and reviews from Amazon Q Devel…

Extracting valuable insights from massive datasets is essential for businesses striving to gain a competitive edge. Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena, Amazon Redshift, Amazon EMR, and so on. Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. Amazon EMR provides a big data environment for data processing, interactive analysis, and ma…

In today’s data-driven world, processing large datasets efficiently is crucial for businesses to gain insights and maintain a competitive edge. Amazon EMR is a managed big data service designed to handle these large-scale data processing needs across the cloud. It allows running applications built using open source frameworks on Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Kubernetes Service (Amazon EKS), or AWS Outposts, or completely serverless. One of the key features of Amazon EMR on EC2 is managed scaling, which dynamically adjusts computing capacity in response to application demands, providing optimal performance and cost-efficiency. Although managed…

Snapshots are crucial for data backup and disaster recovery in Amazon OpenSearch Service. These snapshots allow you to generate backups of your domain indexes and cluster state at specific moments and save them in a reliable storage location such as Amazon Simple Storage Service (Amazon S3). Snapshots play a critical role in providing the availability, integrity and ability to recover data in OpenSearch Service domains. By implementing a robust snapshot strategy, you can mitigate risks associated with data loss, streamline disaster recovery processes and maintain compliance with data management best practices. This post provides a detailed walkthrough about how to eff…

Amazon Redshift is announcing the general availability of Multi-AZ deployments for RA3 clusters in the AWS GovCloud (US) Regions. Redshift Multi-AZ deployments support running your data warehouse in multiple AWS Availability Zones (AZ) simultaneously and continue operating in unforeseen failure scenarios. A Multi-AZ deployment raises the Redshift Service Level Agreement (SLA) to 99.99% and delivers a highly available data warehouse for the most demanding mission-critical workloads. Enterprise customers with mission critical workloads require a data warehouse with fast failover times and simplified operations that minimizes impact to applications. A Redshift Multi-AZ de…

AWS announces End User Messaging Social, enabling developers to message their end users on WhatsApp, the world's most popular messaging app with over 2.7 billion users. With this release, developers can create rich messaging experiences on WhatsApp with multimedia content and interactive features. They can now use WhatsApp alongside End User Messaging SMS and Push notifications as part of their messaging strategy, ensuring they can communicate to their end users through the channels they prefer most. To get started, developers can create a new WhatsApp Business Account (WABA) using our self-guided onboarding or link an existing WABA to End User Messaging, all within th…

AWS CodePipeline V2 type pipelines introduces the ability to skip a stage as a result of a stage level condition evaluation. With this launch, you can now set “Skip,” “Fail,” and “Rollback” as a result of a stage condition failing. “Skip” can only be used with conditions evaluated before a pipeline execution enters a stage. To skip a stage, add a condition to the before entry with “Skip” as the result. Add a rule such as variable check to the condition to evaluate if a pipeline variable matches a specific value. When a pipeline execution is waiting to enter the stage, the variable check rule is evaluated. If the rule fails, the condition fails and the stage where the c…

Today, AWS Thinkbox releases Deadline 10.4 with support for Autodesk 3dsMax 2025, Autodesk Maya 2025, and SideFX Houdini 20.5, a new plugin to support Houdini exports to Karma 20.0, and security and configuration changes in Deadline. The .NET Software Development Kit (SDK) has been updated to 8.0.302, and Deadline installs MongoDB version 6.0.16 by default, with support for Red Hat Enterprise Linux (RHEL) 9, including Rocky and Alma. Additionally, machine-wide permissions now require user-specific configurations to be saved in user-level folders, enhancing security. Deadline 10.4 expands its platform support for RHEL 9, including Rocky Linux and AlmaLinux, providing mo…

Amazon CloudFront now supports JA4 fingerprinting of incoming requests, enabling customers to allow known clients or block requests from malicious clients. The JA4 fingerprint is passed via the Cloudfront-viewer-ja4-fingerprint header. You can inspect the JA4 fingerprints using custom logic on your application web servers or using CloudFront Functions or Lambda@Edge. A JA4 TLS client fingerprint contains a 38-character long fingerprint of the TLS Client Hello which is used to initiate a secure connection from clients. The fingerprint can be used to build a database of known good and bad actors to apply when inspecting HTTP requests. You can add the Cloudfront-viewer-ja…

AWS Network Load Balancer (NLB) now supports Amazon Application Recovery Controller’s zonal shift and zonal autoshift features on load balancers that are enabled across zones. Zonal shift allows you to quickly shift traffic away from an impaired Availability Zone (AZ) and recover from events such as bad application deployment and gray failures. Zonal autoshift safely and automatically shifts your traffic away from an AZ when AWS identifies potential impact to it. Enabling cross-zone on NLBs is a popular configuration for customers that require an even distribution of traffic across application targets in multiple AZs. With this launch, customers can shift traffic away …

AWS Resource Explorer customers can now list all AWS resources indexed by Resource Explorer across Services, AWS Regions, and AWS accounts. Customers use Resource Explorer to search for supported AWS resources using keywords and search operators to return up to 1,000 relevancy-ranked results. Starting today, customers can use the same familiar search operators to list and paginate through all matching results with Resource Explorer’s new ListResources API. The ListResources API is available in the AWS SDKs and CLI. To learn more about this capability, please visit our documentation. This feature is available in all AWS Commercial Regions. View the full article

Amazon Connect Contact Lens dashboards now include the ability to color code metric performance, customize service level thresholds, and switch metrics within widgets. With these dashboards, you can view and compare real-time and historical aggregated performance, trends, and insights using custom-defined time periods (e.g., week over week), summary charts, time-series chart, etc. You can further customize the dashboards by changing the metrics you want to monitor, as well as color code metric performance based on custom defined thresholds. For example, you can automatically show service level as red if it dips below 70%, yellow if its between 70-90%, and green if its gre…

AWS Elemental MediaPackage is now available in the Middle East (UAE) and Asia Pacific (Hyderabad) regions, enabling users to configure and operate MediaPackage using the console or API endpoints in these regions. AWS Elemental MediaPackage is a video origination and just-in-time packaging service that allows video distributors to securely and reliably deliver live streaming or on-demand content at scale. From a single video input, MediaPackage creates video streams formatted to play on connected TVs, mobile phones, computers, tablets, and game consoles. It makes it easy to implement popular video features commonly found on DVRs, such as start-over, pause, and rewind. T…

Today, we are announcing the availability of AWS Backup in the Asia Pacific (Malaysia) Region. AWS Backup is a fully-managed, policy-driven service that allows you to centrally automate data protection across multiple AWS services spanning compute, storage, and databases. Using AWS Backup, you can centrally create and manage backups of your application data, protect your data from inadvertent or malicious actions with immutable recovery points and vaults, and restore your data in the event of a data loss incident. You can get started with AWS Backup using the AWS Backup console, SDKs, or CLI by creating a data protection policy and then assigning AWS resources to it us…

Amazon Redshift's Data Sharing of data lake tables is now generally available, offering a secure and convenient way to share live data lake tables across different Amazon Redshift warehouses. Data Sharing of data lake tables in the AWS Glue Data Catalog provides live access to the data, ensuring that you always see the most up-to-date and consistent information as it is updated in the data lake. Today you can use Amazon Redshift to query your data lake but you cannot leverage the power of Redshift or Lake Formation managed data sharing with external schemas referencing your data lake tables. You have redundant effort to setup your data lake tables for each Redshift war…

This post was co-written with Ran Isenberg, Principal Software Architect at CyberArk and an AWS Serverless Hero. Serverless architectures enable agility and simplified cloud resource management. Organizations embracing serverless architectures build robust, distributed cloud applications. As organizations grow and the number of development teams increases, maintaining architectural consistency, standardization, and governance across projects becomes crucial. In this post, you will discover how CyberArk, a leading identity security company, efficiently implements serverless architecture governance, reduces duplicative efforts, and saves months of development time by co…

Amazon Redshift introduces a unique identifier assigned to SQL queries, which lets you effectively track query performance over time and identify recurring patterns in resource-intensive queries. This new feature, called a 'query hash', uniquely identifies SQL queries based on their textual representation and predicate values. Query hash is a unique query signature that is generated for executed queries on a data warehouse. With query hash, you can investigate query performance by either performing trend analysis of queries over a period of time or comparing performance for a query across different time periods. This feature adds two new columns to SYS_QUERY_HISTORY vi…

We now offer service reference information to streamline automation of policy management workflows, helping you to retrieve available actions across AWS services from machine-readable files. Whether you are a security administrator establishing guardrails for workloads or a developer ensuring appropriate access to applications, you can now more easily identify the available actions for AWS services. We provide service reference for AWS services, enabling you to seamlessly incorporate the metadata into your own policy management workflows. With this new offering, you can automate the retrieval of service reference information, eliminating manual effort and your policies…

Amazon WorkSpaces Thin Client inventory is now available to purchase in UK on Amazon Business. Amazon WorkSpaces Thin Client is a low-cost end-user device that helps organizations reduce overall virtual desktop costs, strengthen security posture, and simplify end-user deployment. End users can set up WorkSpaces Thin Client in minutes using an on-device guided deployment experience to connect their network and peripherals and log in to their virtual desktops including Amazon WorkSpaces, Amazon WorkSpaces Web, and Amazon AppStream 2.0. WorkSpaces Thin Client also helps IT organizations improve security by removing the ability to upload or download files or applications a…

Today, we are excited to announce the general availability of four highly expressive Amazon Polly voices speaking in American and Australian English. Amazon Polly is a managed service that turns text into lifelike speech, allowing you to create applications that talk and to build speech-enabled products depending on your business needs. The generative engine is Amazon Polly's most advanced text-to-speech (TTS) model. With this launch, we add a variety of new synthetic generative English voices to Polly portfolio: i.e., an Australian English voice Olivia, and three US English voices Joanna, Danielle, and Stephen. These voices sound similar to our neural voices with t…

AWS is announcing the general availability of Console to Code, powered by Amazon Q Developer. Console to Code makes it simple, fast, and cost-effective to move from prototyping in the AWS Management Console to building code for production deployments. Customers can generate code for their console actions in their preferred format with a single click. The generated code helps customers get started and bootstrap their automation pipelines for tasks. Console to Code makes it easy to convert actions performed in the console into reusable code, using the language of your choice. Customers use the AWS Management Console to learn and prototype cloud solutions, and using Conso…

Ray is an open-source framework that manages, executes, and optimizes compute needs for AI workloads. It is designed to make it easy to write parallel and distributed Python applications by providing a simple and intuitive API for distributed computing. Ray unifies infrastructure by leveraging any compute instance and accelerator on AWS via a single, flexible framework—enabling any AI workload from data processing to model training to model serving and beyond. Ray, launched as a research project in 2016, is quickly becoming a standard for orchestrating AI workloads, especially with Kubernetes. On AWS, Amazon Elastic Kubernetes Service (Amazon EKS) is a managed service t…

Amazon Redshift has established itself as a highly scalable, fully managed cloud data warehouse trusted by tens of thousands of customers for its superior price-performance and advanced data analytics capabilities. Driven primarily by customer feedback, the product roadmap for Amazon Redshift is designed to make sure the service continuously evolves to meet the ever-changing needs of its users. Over the years, this customer-centric approach has led to the introduction of groundbreaking features such as zero-ETL, data sharing, streaming ingestion, data lake integration, Amazon Redshift ML, Amazon Q generative SQL, and transactional data lake capabilities. The latest inno…

The Amazon EventBridge Schema Registry and Schema Discovery service is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions, allowing you to discover and store event structure - or schema - in a shared, central location. You can download code bindings for those schemas for Java, Python, Typescript, and Golang so it’s easier to use events as objects in your code. The Schema Discovery and Schema Registry features are integrated with the Amazon EventBridge Event Bus, which enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. While event bus…

Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined algorithms for metrics such as accuracy, robustness, and toxicity. Additionally, for those metrics or subjective and custom metrics, such as friendliness, style, and alignment to brand voice, you can set up a human evaluation workflow with a few clicks. Human evaluation workflows can leverage your own employees or an AWS-managed team as reviewers. Model evaluation provides built-in curated datasets or you can bring your own da…

Lambda recursive loop detection can now automatically detect and stop recursive loops between AWS Lambda and Amazon Simple Storage Service (Amazon S3). Lambda recursive loop detection, which is enabled by default, is a preventative guardrail that automatically detects and stops recursive invocations between Lambda and other supported services, preventing unintended usage and billing from runaway workloads. Customers commonly use Amazon S3 as an event source to trigger Lambda functions. Customer misconfiguration or code defect can cause processed events to be sent back to the same Amazon S3 bucket that invoked the Lambda function, causing unintended recursive loops. Now…

Amazon EventBridge Archive and Replay is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions, making event-driven applications more durable and extensible by providing an easier way to replay past events. Archive and Replay enables you to build applications that can more easily recover from errors and also allows you to more easily validate new functionality in your applications. The Archive and Replay feature is integrated with the Amazon EventBridge Event Bus, which enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up r…

AWS CodePipeline introduces a simplified and new getting started experience to enable you to quickly create new pipelines. When you create a new pipeline using the CodePipeline console, you can now select from a list of pipeline templates across Build, Automation, and Deployment use cases. After selecting a pipeline template, you will be prompted to enter values for the action configuration fields in the pipeline definition, and completing the process will render a fully configured pipeline that is ready to run. To learn more about using the new pipeline templates, visit our documentation. For more information about AWS CodePipeline, visit our product page. Getting sta…

Amazon Connect Chat now supports using your customer's initial message in flows, enabling you to improve self-service containment rates and personalize the customer experience. You can use the initial chat message to display the right step-by-step guide, trigger interactive messages from Amazon Lex (e.g., list pickers, carousels), or route the chat to the best agent. For example, if the initial message is about an order issue, you can immediately show the customer a list pickers of recent orders. Alternatively, if the message is about rescheduling a delivery, you can present date and time pickers to help them make the change. To use the customer's initial message with …

In this post, we highlight key lessons learned while helping a global financial services provider migrate their Apache Hadoop clusters to AWS and best practices that helped reduce their Amazon EMR, Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Simple Storage Service (Amazon S3) costs by over 30% per month. We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. Background In early 2022, a business unit of a global financial serv…

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Customers are migrating their on-premises data warehouse solutions built on databases like Netezza, PostgreSQL, Greenplum, and Teradata to AWS based modern data platforms using services like Amazon Simple Storage Service (Amazon S3) and Amazon Redshift. AWS based modern data platforms help you break down data silos and enable analytics and machine learning (ML) use cases at scale. During migration, you might want to establish data parity checks between on-p…

Today, Amazon MemoryDB announces support for Valkey, which is priced 30% lower than MemoryDB for Redis OSS. With MemoryDB for Valkey, you are not charged for data written up to 10 TB/month. Any data written over 10TB/month is billed at $0.04/GB, which is 80% lower than MemoryDB for Redis OSS. Valkey is an open source, high performance, key-value datastore stewarded by Linux Foundation. It is a drop in replacement of Redis OSS. Valkey is backed by 40+ companies and has seen rapid adoption since the project was created in March 2024. Amazon MemoryDB is a fully managed, Valkey- and Redis OSS-compatible database service, which provides multi-AZ durability, microsecond read…

Today, Amazon ElastiCache announces support for Valkey with Serverless priced 33% lower and node-based priced 20% lower than other supported engines. With ElastiCache Serverless for Valkey, customers can create a cache in under a minute and get started as low as $6/month. Valkey is an open source, high performance, key-value datastore stewarded by Linux Foundation. It is a drop in replacement of Redis OSS, backed by 40+ companies with rapid adoption since project inception in March 2024. Hundreds of thousands of customers use ElastiCache to improve their database and application performance and optimize costs. ElastiCache for Valkey provides a fully managed experience …

AWS Marketplace announces the general availability of a new procurement insights dashboard, helping you manage your organization’s renewals and optimize your AWS Marketplace spend. The new dashboard gives you detailed visibility into your organization’s AWS Marketplace agreements and associated spend across the AWS accounts in your organization. The procurement insights dashboard identifies contracts nearing their end of term, enabling you to proactively address upcoming renewals. The comprehensive view of your organization's AWS Marketplace agreements allows you to identify consolidation opportunities across teams. You can gain a deeper understanding of your organizat…

We are pleased to announce that Amazon is extending the End of Life (EOL) dates for Amazon Corretto 8 and Amazon Corretto 11. The new EOL dates are as follows: Amazon Corretto 8: December-2030 Previous EOL date was April 2026 Amazon Corretto 11: January-2032 Previous EOL date was September 2027 Please note that Amazon will halt support for JavaFX, which is currently included in Corrretto 8, on its original EOL date of March-2026. After this date, JavaFX will no longer be included with Corretto 8. If you have any questions or need further assistance, please reach out to the Amazon Corretto team by creating a GitHub ticket or, if …

Amazon Q in Connect, a generative-AI powered assistant for contact center agents, now enables contact center supervisors to pre-configure LLM prompts to match your company's brand and business guidelines. Supervisors can tailor prompts to change Amazon Q in Connect's tone and behavior to incorporate specific company phrases, follow language guidelines, and designate certain "fixed" responses for situations requiring absolute consistency. For example, when a customer contacts a healthcare insurance provider, Amazon Q in Connect can be customized to be sensitive for use cases such as denied claim. Agents using step-by-step guides for the claim appeals process will be provid…