News For Dev-ops

Today, Amazon SageMaker and Amazon DataZone announced a new data governance capability that enables customers to move a project from one domain unit to another. Domain units enable customers to create business unit/team level organization and manage authorization policies per their business needs. Customers can now take a project mapped to a domain unit and organize it under a new domain unit within their domain unit hierarchy. The move project feature lets customers reflect changes in team structures as business initiatives or organizations shift by allowing them to change a project’s owning domain unit. As an Amazon SageMaker or Amazon DataZone administrator, you can now create domain units (e.g Sales, Marketing) under the top-level domain and organize the catalog by moving existing projects to new owning domain units. Users can then login to the portal to browse and search assets in the catalog by the domain units associated with their business units or teams. The move project f...

Today, AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P6-B200 instances, accelerated by NVIDIA B200 GPUs. Amazon EC2 P6-B200 instances offer up to 2x performance compared to P5en instances for AI training and inference.   P6-B200 instances feature 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory and a 60% increase in GPU memory bandwidth compared to P5en, 5th Generation Intel Xeon processors (Emerald Rapids), and up to 3.2 terabits per second of Elastic Fabric Adapter (EFAv4) networking. P6-B200 instances are powered by the AWS Nitro System, so you can reliably and securely scale AI workloads within Amazon EC2 UltraClusters to tens of thousands of GPUs.  P6-B200 instances are now available in the p6-b200.48xlarge size through Amazon EC2 Capacity Blocks for ML in the following AWS Region : US West (Oregon). To learn more about P6-B200 instances, visit Amazon EC2 P6 instances . Post Updated on May 15, 2025 at 06:00PM

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the April 2025 Release Update (RU) for Oracle Database versions 19c and 21c. These RUs include bug and security fixes and are available for RDS for Oracle Standard Edition 2 and Enterprise Edition. Review the Oracle release notes for April RU for details. We recommend upgrading to this RU as it includes security fixes. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. You can also enable auto minor version upgrade (AmVU) to automatically upgrade your database instances. Learn more about upgrading your database instances from the Amazon RDS User Guide. This new minor version is available in all AWS regions where Amazon RDS for Oracle is available. See Amazon RDS for Oracle Pricing for pricing details and regional availability. Post Updated on May 14, 2025 at 10:45PM

Amazon Bedrock Guardrails announces support for cross-region inference, an optional feature that enables customers to seamlessly manage traffic bursts by utilizing compute across different AWS regions. Bedrock Guardrails provides configurable safeguards to help detect and block harmful content and prompt attacks, define topics to deny and disallow specific topics, and helps redact personally identifiable information (PII) such as personal data from input prompts and model responses. Additionally, Bedrock Guardrails helps detect and block model hallucinations, and identify, correct, and explain factual claims in model responses using Automated Reasoning checks. Guardrails can be applied across any foundation model including those hosted with Amazon Bedrock, self-hosted models, and third-party models outside Bedrock using the ApplyGuardrail API , providing a consistent user experience and helping to standardize safety and privacy controls. By using cross-region inference, Amazon Bed...

Today, AWS HealthOmics announces enhancements to its Common Workflow Language (CWL) support by automatically generating comprehensive outputs.json mapping files for every workflow run. With this launch, HealthOmics now provides researchers and bioinformaticians with a complete catalog of all outputs generated by workflow runs along with their precise locations in Amazon S3. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. The new output mapping capability simplifies downstream process automation and validation of run outputs, enabling more efficient data analysis pipelines. Customers can now easily track and access all workflow results without manual tracking or custom parsing scripts, saving time and reducing the possibility of errors when working with complex, multi-step bioinformatics workflows at scale. CWL output mapping files are now suppo...

Starting today, Amazon Aurora MySQL - Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.40 through Aurora MySQL v3.09. In addition to several security enhancements and bug fixes, MySQL 8.0.40 contains enhancements that improve database availability when handling large number of tables and reduce InnoDB issues related to redo logging, and index handling. Aurora MySQL 3.09 includes performance enhancements to improve write throughput for 32xl and larger instances running on I/O-Optimized configuration. This release also contains improvements that increase the cross-region resiliency of Aurora Global Database secondary region clusters. For more details, refer to the Aurora MySQL 3.09 and MySQL 8.0.40 release notes. To upgrade to Aurora MySQL 3.09, you can initiate a minor version upgrade manually by modifying your DB cluster , or you can enable the “ Auto minor version upgrade ” option when creating or modifying a DB cluster. For upgrading a Global Database,...

Customers running Amazon Aurora and RDS for PostgreSQL, MySQL, and MariaDB databases can now purchase Reserved Instances for R7i and M7i instances. These instances are powered by custom 4th Generation Intel Xeon Scalable processors and provide larger sizes up to 48xlarge with an 8:1 ratio of memory to vCPU and the latest DDR5 memory. Reserved Instances offer significant savings over On-Demand rates with three flexible payment options: All Upfront providing the highest discount, Partial Upfront balancing between upfront and hourly payments, and No Upfront requiring no initial payment. Reserved Instances provide instance size flexibility within the same family and automatically apply to both Single-AZ and Multi-AZ configurations, making them ideal for varying production workloads. These 1-year Reserved Instances are available for Aurora MySQL, Aurora PostgreSQL, RDS for MySQL, RDS for PostgreSQL, and RDS for MariaDB in all AWS regions where R7i and M7i instances are offered with On-D...

AWS announces a new EC2 feature for Elastic Network Adapter (ENA) that enables flexible queue allocation per Elastic Network Interface (ENI) on EC2 instances. ENA queues, which are key components of ENIs, efficiently manage network traffic by load-balancing sent and received data across available queues. This network interface feature optimizes networking performance by flexibly allocating multiple transmit and receive ENA queues, efficiently distributing packet processing across vCPUs. Customers now have granular control over their network resources and instance performance, allowing them to align ENA queue allocation with specific workload requirements. Prior to this announcement, customers could configure additional ENIs for their instances, but ENA queues were statically allocated per ENI without flexibility in distribution. Now, customers can dynamically allocate ENA queues across ENIs from their instance's total queue pool, with the total available queues varying by instanc...

Today, AWS announces significant enhancements to Amazon Q Developer in Amazon SageMaker AI Jupyter Lab, introducing customization of code suggestions based on private code repositories and the ability to include entire workspace context for improved code assistance. These new features empower organizations to leverage their proprietary code and improve the relevance of code suggestions, ultimately enhancing developer productivity and code quality within Jupyter Lab environments. With the new customization feature, Amazon Q Developer can now assist with software development in ways that conform to your team's internal libraries, proprietary algorithmic techniques, and enterprise code style. An Amazon Q Developer customization is a set of elements that enables Amazon Q to provide suggestions based on your company's code-base. This ensures that code suggestions, both inline and chat based, align perfectly with your organization's specific coding practices and standards. Ad...

Amazon Bedrock Data Automation (BDA) now supports extraction of custom GenAI-powered insights from audio by specifying the desired output configuration through blueprints. BDA is a GenAI-powered capability of Bedrock that streamlines the development of generative AI applications and automates workflows involving documents, images, audio, and videos. Developers can now extract custom insights from audio using blueprints, which contain their desired output including a list of field names, the data format in which the response for the field is to be extracted as well as natural language instructions for each field. Developers can get started with blueprints by either using a catalog blueprint or creating a blueprint tailored to their needs. With this launch, developers can extract custom insights such as summaries, key topics, intents, and sentiment from a variety of voice conversations such as customer calls, clinical discussions, and meetings. Insights from BDA can be used to improve ...

Today, AWS announces the preview of the Amazon Q Developer integration in GitHub. With this launch, developers can use the power of Amazon Q Developer agents for feature development, code review, and Java transformation within GitHub.com and GitHub Enterprise Cloud projects to streamline their developer experience.  After installing the Amazon Q Developer application from GitHub, developers can use labels to assign issues to Amazon Q Developer. Then, Amazon Q Developer agents automatically implement new features, generate bug fixes, run code reviews on new pull requests, and modernize legacy Java applications, all within the GitHub projects. While generating new code, the agents will automatically use any pull request workflows, refining the solution and ensuring all checks are passing. Developers can also collaborate with the agents by directly commenting on the pull request, and Amazon Q Developer will respond with improvements, allowing all teammates to stay in the lo...

The Amazon Web Services (AWS) ODBC Driver for PostgreSQL is now generally available for use with Amazon RDS and Amazon Aurora PostgreSQL-compatible edition database clusters. This database driver provides support for faster switchover and failover times, Aurora Limitless , and authentication with AWS Secrets Manager, AWS Identity and Access Management (IAM), or Federated Identity. The Amazon Web Services (AWS) ODBC Driver for PostgreSQL is a standalone driver and supports RDS and community PostgreSQL and Amazon Aurora PostgreSQL. You can install the aws-pgsql-odbc package for Windows, Mac or Linux by following the Getting Started instructions on GitHub . The driver relies on monitoring the database cluster status and being aware of the cluster topology to determine the new writer. This approach reduces switchover and failover times from tens of seconds to single digit seconds compared to the open-source driver. The AWS Advanced MySQL PostgreSQL driver is released as an open-sour...

Today, Amazon Q Developer announces a new agentic coding experience within the IDE that transforms how you build software. The new experience redefines how you write, modify, and maintain code by leveraging natural language understanding to seamlessly execute complex workflows. The new coding experience provides intelligent task execution, enabling Q Developer to perform actions beyond code suggestions, such as modifying files, generating code diffs, and running commands based on your natural language instructions. Additionally, it offers transparent reasoning, allowing you to follow Q Developer's thought process as it interprets your requirements and makes code changes. It also offers multi-turn conversations, allowing you to have dynamic, back and forth conversations that maintain context across your entire codebase and development session. Finally, it provides granular control, giving you the choice between automated code modifications or step-by-step review and confirmation. ...

We’re excited to announce the general availability of Amazon Nova Premier, our most capable multimodal foundation model for complex tasks such as processing long documents, videos, large codebases, and executing multistep agentic workflows. It is also our most capable teacher model and can be used with Amazon Bedrock Model Distillation to create custom distilled models for specific needs. Nova Premier extends the capabilities available from Amazon Nova understanding models with several key improvements, including: Superior intelligence : The model scores 87.4% in the Massive Multitask Language Understanding (MMLU) benchmark for undergraduate-level knowledge, 82.0% on Math500 for mathematic problems, and 84.6% on the CharXiv benchmark for chart understanding. Improved agentic capabilities : Nova Premier can perform end-to-end actions on behalf of the user, enabling more complex workflows such as Retrieval-Augmented Generation (RAG), function calling, and agentic coding. The model sc...

Today, Amazon Kinesis Data Streams introduces support for tagging and Attribute-Based Access Control (ABAC) for enhanced fan-out consumers. You can register enhanced fan-out consumers to have dedicated low latency read throughput per shard, up to 2MB/s. ABAC is an authorization strategy that defines access permissions based on tags that can be attached to IAM users, roles, and AWS resources for fine-grained access control. This new feature enables you to apply tags for allocating costs and simplifying permission management for your enhanced fan-out consumers. With this launch, you can now tag your enhanced fan-out consumers used by different business units to track and allocate costs in AWS Cost Explorer without manually tracking costs per consumer. You can apply tags to enhanced fan-out consumers using the Kinesis Data Streams API or AWS Command Line Interface (CLI). Additionally, ABAC support for enhanced fan-out consumers allows you to use IAM policies to allow or deny specific Ki...

The first models in the new Llama 4 herd of models—Llama 4 Scout 17B and Llama 4 Maverick 17B—are now available fully managed in Amazon Bedrock. You can power your applications with Llama 4 through Amazon Bedrock's fully managed service via a single API. These advanced multimodal models empower you to build more tailored applications that respond to multiple types of media. Llama 4 offers improved performance at lower cost compared to Llama 3, with expanded language support for global applications. Featuring mixture-of-experts (MoE) architecture, these models deliver efficient multimodal processing for text and image inputs, improved compute efficiency, and enhanced AI safety measures. According to Meta, the smaller Llama 4 Scout 17B model is the best multimodal model in the world in its class, and is more powerful than Meta’s Llama 3 models. Scout is a general-purpose model with 17 billion active parameters, 16 experts, and 109 billion total parameters that delivers state-of-the...

AWS AppConfig now supports dual-stack endpoints, facilitating connectivity through Internet Protocol Version 6. The existing AWS AppConfig endpoints supporting IPv4 will remain available for backwards compatibility. The continuous growth of the internet has created an urgent need for IPv6 adoption, as IPv4 address space reaches its limits. Through AWS AppConfig's implementation of dual-stack endpoints, organizations can execute a strategic transition to IPv6 architecture on their own timeline. This approach enables companies to satisfy IPv6 regulatory standards while preserving IPv4 connectivity for systems that have not yet moved to IPv6 capabilities. IPv6 support for AWS AppConfig resources is available in all AWS Regions, including the AWS GovCloud (US) Regions. To get started, use the AWS AppConfig Getting Started Guide , or read more at Understanding IPv6 support for AWS AppConfig.   Post Updated on April 24, 2025 at 06:00PM

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) C8gd instances, Amazon EC2 M8gd instances, and Amazon EC2 R8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage. These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are great fit for applications that need access to high-speed, low latency local storage. Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance band...

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6id instances are available in Europe (Paris) Region. These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage. C6id instances are built on AWS Nitro System , a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage to scale performance of applications such data logging, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics. These instances are generally available today in the US West (Oregon), US East (Ohio, N. Virginia), Canada (Central), Canada West (Calgary), AWS GovCloud (US-West), Mexico (Central), South America (...

AWS customers can now access Amazon Lightsail from within the AWS Console Mobile App to monitor and manage Lightsail instances, containers, databases, network, storage, snapshots, domains and DNS while on the go. Visit the Services tab in the AWS Console Mobile App and select Lightsail to get started. The AWS Console Mobile App enables AWS customers monitor and manage a select set of resources and receive push notifications to stay informed and connected with their AWS resources while on-the-go. The sign-in process supports biometrics authentication, making access to AWS resources simple, secure, and quick. Lightsail offers easy-to-use virtual private server (VPS) instances, storage, databases, and more for a cost-effective monthly price. For AWS services not available natively, customers can access the AWS Management Console via an in-app browser to access service pages without additional authentication, manual navigation, or need to switch from the app to a browser. Visit the AWS...