News For Dev-ops

AWS Parallel Computing Service (PCS) now supports Amazon EC2 P6e-GB200 and P6e-GB300 UltraServer instances, enabling customers to run large-scale GPU workloads using the NVIDIA Blackwell architecture within Slurm-managed clusters. You can reserve UltraServers through EC2 Capacity Blocks for ML, associate them with a PCS compute node group via an EC2 launch template, and PCS automatically configures Slurm with the correct topology plugin. With P6e-GB200 UltraServers, you can access up to 72 NVIDIA Blackwell GPUs within one NVLink domain to use 360 petaflops of FP8 compute (without sparsity) and 13.4 TB of total high bandwidth memory (HBM3e). P6e-GB300 UltraServers provide 1.5x GPU memory and 1.5x FP4 compute (without sparsity) compared to P6e-GB200. AWS PCS is a managed service that simplifies running and scaling HPC workloads on AWS using Slurm. You can build complete, elastic environments that integrate compute, storage, networking, and visualization tools, while the service handl...

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports higher volume-level limits for General Purpose (gp3) storage. With this update, each gp3 volume can scale up to 64 TiB in size (4X the previous 16 TiB limit), up to 80,000 IOPS (5X the previous 16,000 IOPS limit), and up to 2,000 MiB/s throughput (2X the previous 1,000 MiB/s limit). With these improvements, customers can now run larger Microsoft SQL Server databases on Amazon RDS. Workloads with demanding I/O requirements such as high-throughput OLTP systems and large-scale analytical workloads can take advantage of higher IOPS and throughput on a single volume with simplified storage management, and get better performance for mission-critical SQL Server workloads. Additionally, you can configure additional storage volumes to add up to three gp3 or io2 volumes per DB instance, increasing total capacity up to 256 TiB per instance. There is no change to pricing - customers pay for storage and any additional I...

You can now create Amazon FSx for Lustre file systems with the Intelligent-Tiering storage class in 13 additional AWS Regions across Africa, Europe, Asia Pacific, and South America. The FSx for Lustre Intelligent-Tiering storage class delivers the lowest-cost and only fully elastic Lustre file storage in the cloud. It is optimized for workloads with a mix of hot and cold data that don't require consistent SSD-level performance. It automatically tiers your data across three storage tiers (Frequent Access, Infrequent Access, and Archive) based on access patterns, and an optional SSD read cache keeps your active data fast. You get high performance for active data in your HPC and AI/ML worklaods and low-cost storage for the data you access less often, paying only for what you store with no capacity to provision upfront. With FSx for Lustre Intelligent-Tiering, you get up to 34% better price-performance compared to on-premises HDD file storage, and reduce storage costs for rarely acce...

Amazon FSx for OpenZFS now supports on-demand data replication across AWS opt-in Regions, enabling you to easily and efficiently transfer incremental point-in-time snapshots of your volumes beyond AWS Regions that are enabled by default. On-demand data replication provides a simple and resilient way to implement disaster recovery, replicate production data to a different Region or account, and enable lower latency data access for your global customer base or workforce. Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system, with rich data management capabilities like snapshots, data cloning, and compression, along with sub-millisecond latencies and up to 10 GB/s of throughput. Opt-in Regions are AWS Regions that are disabled by default, in contrast to regions that are enabled by default. Previously, on-demand data replication was supported only between accounts in AWS Regions that are enabled by default. Starting...

Amazon CloudWatch now lets you ingest metrics via the OpenTelemetry Protocol (OTLP) and query them using Prometheus Query Language (PromQL). You pay per GB ingested, with 15 months of storage included. Custom OTel metrics and AWS vended metrics from more than 70 services are queryable together in PromQL. CloudWatch provides a Prometheus-compatible query API that works with Grafana and other Prometheus-compatible tools. For Amazon EKS customers, Container Insights with OpenTelemetry provides curated dashboards and metrics enriched with OpenTelemetry semantic conventions. You can enable it from the EKS console or via CloudFormation, CDK, or Helm. If you're already using CloudWatch Container Insights, you can dual-publish Classic and OTel metrics simultaneously and migrate alarms and dashboards on your own schedule. Available in all commercial AWS Regions except Middle East (UAE), Middle East (Bahrain), and Israel (Tel Aviv). For pricing details, see the Amazon CloudWatch pricin...

AWS DevOps Agent now supports custom SRE agents, bring-your-own sub-agents, and headless access via MCP and A2A protocols. These capabilities enable teams to automate recurring SRE workflows, extend DevOps Agent by connecting it to other agents, and access its capabilities from the tools they already use, including Kiro, Claude, and other coding assistants. With custom SRE agents, teams can create and schedule agents within Agent Spaces that run on a cadence. For example, create a daily database health report that checks for slow queries and parameters that need tuning, or build an agent that reviews logs from the past 24 hours and flags anomalies. In headless mode, developers can invoke DevOps Agent from the tools and agents they already use via A2A or MCP protocols. For example, the Kiro power for AWS DevOps Agent lets developers check production health and investigate issues without leaving their IDE. Teams can also connect their own sub-agents built with Amazon Bedrock or third-p...

Starting today, Amazon Lightsail is available in three additional AWS Regions: Asia Pacific (Hong Kong), South America (São Paulo), and Europe (Spain). This expansion brings the power and simplicity of Lightsail to customers across new geographies in Asia, South America, and Europe. With this launch, customers in these geographical regions can now enjoy lower latency and better performance for their applications while meeting local data residency requirements. The new Regions provide access to Lightsail's full range of features including instances that meet your compute needs, from general purpose to compute-optimized and memory-optimized bundles, as well as managed databases, container services, load balancers, and more , all with the same simple, predictable pricing that Lightsail customers love. Startups, small businesses, and developers in these regions can now run their applications closer to their end users with low latency. Lightsail is available in these AWS Regions: US...

Amazon Managed Service for Prometheus now supports ingestion, storage, and querying of Prometheus native histograms, enabling customers to capture high-resolution metric distributions with greater precision and lower cardinality than classic histograms. DevOps engineers, site reliability engineers, and platform teams monitoring latency, request durations, and other distributions can now get more accurate percentile calculations without pre-defining bucket boundaries or managing high-cardinality time series. Native histograms use exponential bucketing to automatically adapt resolution to your data, storing an entire distribution in a single time series rather than requiring one series per bucket boundary. This reduces active series count, as a classic histogram with 20 buckets that previously required 22 time series now requires only one, while delivering more precise tail-latency insights from functions like histogram_quantile(). You can adopt native histograms incrementally alongsi...

Today, AWS announces the expanded availability of OpenAI's GPT-5.4 and GPT-5.5 models, which are now available in the US East (N. Virginia) Region on Amazon Bedrock. With GPT-5.4 and GPT-5.5, you can build generative AI applications across reasoning, coding, computer use, document workflows, and long-running agentic tasks. GPT-5.5 is OpenAI's most capable model, designed for advanced coding, research, analysis, software operation, document workflows, and long-running agentic tasks. It can understand open-ended goals, use tools, reason across longer workflows, navigate ambiguity, and carry complex tasks through to completion with less orchestration. GPT-5.4 brings frontier reasoning, coding, computer use, long-context workflows, and tool use to production applications that interpret context, interact with tools, operate software environments, and verify outputs across multiple steps. Both models support a 272K-token context window, accept text and image input, and are availabl...

Amazon ECS Managed Daemons now support inter-task visibility and communication, enabling customers to deploy tracing, profiling, and security agents that require access to application processes and shared IPC resources on ECS Managed Instances . With this launch, you can configure two new settings in ECS daemon definitions: pidMode controls whether the daemon can see all processes on the instance, and ipcMode controls whether the daemon shares an IPC namespace with other containers on the instance. Setting either to "shared" grants the daemon access to the respective namespace; the default of "none" keeps daemons isolated from application containers and other tasks. These settings let you run process-aware and IPC-dependent agents as ECS daemons instead of embedding them as sidecars in application task definitions. ECS places exactly one daemon task per managed instance and starts daemons before application tasks, so platform teams can deploy and update agents ind...

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M9g and M9gd instances , powered by AWS Graviton5 processors, are generally available. AWS Graviton5 processors are the fifth generation of custom-designed AWS processors, delivering the best price performance for general purpose workloads running on Amazon EC2 . ​​M9g instances serve a broad range of general-purpose workloads including application servers, microservices, gaming, caching, and containers, while also delivering the performance needed for agentic AI use cases like real-time reasoning, code generation, and multi-step orchestration.   ​​M9gd instances offer local NVMe-based SSD block-level storage for customers that require high-speed, low-latency local storage, such as media processing, batch and log processing, and applications that need access to temporary storage including caches and scratch files.​ ​​​M9g and M9gd instances deliver up to 25% better compute performance compared to AWS Graviton4-based M8...

You can now create Amazon FSx for OpenZFS file systems with the Intelligent-Tiering storage class in 8 additional AWS Regions across the US, Europe, Asia Pacific, and South America. FSx Intelligent-Tiering is built for general-purpose file workloads such as file shares, archives, media libraries, and migrations from on-premises HDD storage. It automatically moves your data across three storage tiers (Frequent Access, Infrequent Access, and Archive) based on access patterns, and an optional SSD read cache keeps your active data fast. You get high performance for active workloads and low-cost storage for everything else, paying only for what you store with no capacity to manage. With FSx Intelligent-Tiering, you can save up to 85% compared to the FSx SSD storage class and up to 20% compared to on-premises HDD-based NAS. With this expansion, the FSx Intelligent-Tiering storage class is now available for FSx for OpenZFS file systems in the following additional AWS Regions: US West (N. ...

AWS Lambda Managed Instances (LMI) is now available in all commercial AWS Regions, except Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), and Asia Pacific (Auckland).   LMI lets you run Lambda functions on managed Amazon EC2 instances, giving you access to specialized compute configurations and EC2 pricing advantages while maintaining Lambda's operational simplicity. LMI fully manages instance lifecycle, OS and runtime patching, routing, load balancing, and auto-scaling, so you can focus on writing code. You can process parallel requests within each execution environment, maximizing resource utilization and improving price-performance. You can further improve costs by leveraging EC2 pricing models including Compute Savings Plans and Reserved Instances. LMI is ideal for customers requiring specialized hardware configurations, as well as those with steady-state or predictable workloads seeking to optimize costs. You can continue building functions with familiar devel...

Amazon Redshift announces a new billing model for manual snapshots on Amazon Redshift Serverless and Amazon Redshift RG instances. With this enhancement, Amazon Redshift now meters manual snapshot storage based on the unique data blocks stored across your snapshots rather than the total size of each individual snapshot. This results in lower manual snapshot costs for customers who maintain multiple snapshots. Customers who maintain multiple manual snapshots for disaster recovery, testing, or long-term retention will see reduced storage costs. With this new billing model, you can take more frequent manual snapshots to achieve a better recovery point objective (RPO) without proportional cost increases, enabling more robust disaster recovery strategies. The new billing model automatically applies to both existing and new manual snapshots. The new manual snapshot billing model is available in all AWS commercial and AWS GovCloud (US) Regions where Amazon Redshift Serverless and Amazo...

Amazon OpenSearch Serverless now offers Agentic Search — a capability that lets users query their data using natural language. Users simply describe what they are looking for, and the system interprets intent, plans the optimal search strategy, generates the appropriate DSL (domain-specific language) query, and returns results with a transparent explanation of its reasoning. Users can ask "Find available flights to Tokyo under $800" or "Show top-selling products in the electronics category this month." Behind the scenes, a built-in QueryPlanningTool powered by large language models (LLMs) translates natural language into DSL queries and orchestrates the right tools to retrieve results. Users can configure and customize behavior through APIs or OpenSearch Dashboards. OpenSearch UI provides a guided experience for creating agents and executing agentic searches, with an application available for each collection accessible from the AWS console. Agentic Search is ava...

Amazon OpenSearch Service expands its modernized operational analytics experience to GovCloud regions, including AWS GovCloud (US-East) and AWS GovCloud (US-West), enabling users to gain insights across data spanning managed domains and serverless collections from a single endpoint. The expansion includes Workspaces to enhance collaboration and productivity, allowing teams to create dedicated spaces. Discover is revamped to provide a unified log exploration experience supporting languages such as Piped-Processing-Language (PPL) and SQL, in addition to DQL and Lucene. Discover now features a data selector to support multiple sources, new visual design and query autocomplete for improved usability. This experience ensures users can access the latest UI enhancements, regardless of version of underlying managed cluster or collection. The expanded OpenSearch analytics helps users gain insights from their operational data by providing purpose-built features for observability, security anal...

Amazon SageMaker Data Agent now integrates with SageMaker Catalog business context and metadata, enabling data practitioners to discover datasets and generate more accurate SQL and Python code using business terminology instead of cryptic technical table names. This integration allows the Data Agent to leverage the business context that companies have invested months curating in their SageMaker Catalog, including those synced from Collibra, Atlan, and Alation, to deliver more accurate data discovery and code generation. With this capability, data practitioners can ask questions like "Calculate customer retention rate" or "What data do I have on customer churn?" and the Data Agent will search glossary terms, custom metadata forms, asset summaries, and README content to identify the correct tables and columns. The agent generates more accurate code on first attempt by understanding business context, plans multi-step workflows with the correct sequence of tables and ...

Amazon Elastic Kubernetes Service (Amazon EKS) Capabilities can now be configured as log delivery sources using Amazon CloudWatch Vended Logs. This enables customers to monitor and troubleshoot their EKS Capabilities for Argo CD, AWS Controllers for Kubernetes (ACK), and kro (Kubernetes Resource Orchestrator) by monitoring logs collected from the managed controllers that run in AWS-managed infrastructure. Customers can enable log delivery for each capability using CloudWatch APIs or the AWS Console. Logs are configured as a CloudWatch Vended Logs delivery source, enabling reliable, secure log delivery to CloudWatch Logs, Amazon S3, or Amazon Kinesis Data Firehose destinations. This feature is available in all AWS Regions where the EKS Capabilities feature is supported. Standard CloudWatch Vended Logs pricing applies based on the chosen destination. There is no additional EKS charge. To learn more about EKS Capabilities, visit the Amazon EKS documentation . Post Updated on June ...

AWS IoT Core now provides two new Amazon CloudWatch Log event types that help you troubleshoot device connectivity issues and authentication errors across your Internet of Things (IoT) fleet. The new Ping log event type is emitted when devices send MQTT Keep-alive messages, and it enables you to identify connections or devices that were unable to keep the connection alive. The new Connection.AuthNError log event type records rejected connection attempts due to authentication failure, along with detailed error codes that tell you what went wrong, so you can resolve credential and certificate issues faster. To get started, configure event-level logging in your AWS IoT Core settings with your desired log level and Amazon CloudWatch log group destination, then opt into these new event types. The two new event types are available in all AWS Regions where AWS IoT Core is available. To learn more, see AWS IoT log entries in the AWS IoT Core developer guide. Post Updated on June 3,...

Amazon CloudWatch now allows you to query metrics data up to two weeks in the past using the Metrics Insights query source. CloudWatch Metrics Insights offers fast, flexible, SQL-based queries. This new capability allows you to display, aggregate, or slice and dice metrics data older than 3 hours, for enhanced visualization and investigation. Previously, when creating dashboards and alarms to monitor dynamic groups of metrics over your resources and applications, you could visualize up to 3 hours of data when using Metrics Insights SQL queries. This enhancement helps you identify trends and investigate impact for a longer period of time, even days after an event. This extended query time range helps improve the operational health of teams and ensures impacts are never missed. Querying metrics data up to two weeks old with Metrics Insights is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. The ability to query metrics data up to 2 weeks old is autom...