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Today we are announcing the release of Aurora DSQL connectors for .NET (Npgsql) and Rust (SQLx) that make it easy to build .NET and Rust applications on Aurora DSQL. The connectors streamline authentication and eliminate security risks associated with traditional user-generated passwords by automatically generating tokens for each connection, ensuring valid tokens are always used while maintaining full compatibility with existing Npgsql and SQLx features. The connectors handle IAM token generation, SSL configuration, and connection pooling, enabling customers to scale from simple scripts to production workloads without changing their authentication approach. They also provide opt-in optimistic concurrency control (OCC) retry with exponential backoff, custom IAM credential providers, and AWS profile support, making it easier to develop client retry logic and manage AWS credentials. To get started, visit the

We’re announcing availability changes to the following AWS services and features. Services moving to Maintenance Services moving to maintenance will no longer be accessible to new customers starting April 30, 2026. Customers already using these services and features can continue to do so. AWS will continue to operate and support these services and features. We recommend that customers learn about the changes in the product pages and documentation. Amazon Application Recovery Controller (ARC) - Readiness Check Feature Amazon Comprehend - Topic Modeling, Event Detection, and Prompt Safety Classification Features

Amazon ECS Managed Instances now supports Amazon EC2 instance store volumes as a data volume option for container workloads. You can now leverage instance store volumes on your ECS container instances instead of provisioning an Amazon EBS data volume, reducing storage costs and accelerating I/O performance for latency-sensitive workloads. Amazon ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead, dynamically scale EC2 instances to match your workload requirements, and continuously optimize task placement to reduce infrastructure costs. With today’s launch, you can enable local storage by configuring a custom ECS Managed Instances capacity provider and selecting the desired Amazon EC2 instance types that include instance store volumes. When an instance lacks instance

Now generally available, AWS DevOps Agent is your always-available operations teammate that resolves and proactively prevents incidents, optimizes application reliability and performance, and handles on-demand SRE tasks across AWS, multicloud, and on-prem environments. Building on the preview launch, DevOps Agent now adds new use cases, broader integrations, enhanced intelligence, and enterprise-ready features, including the ability to investigate applications in Azure and on-prem environments, add custom agent skills to extend capabilities, and create custom charts and reports for deeper operational insights. DevOps Agent investigates incidents and identifies operational improvements as an experienced teammate would: by learning your applications and their relationships, working with your observability tools, runbooks, code repositories, and CI/CD pipelines, and correlating telemetry, code, and deployment data. It autonomously triages incidents and guides teams to rapid re

Today, AWS announced the general availability of AWS Security Agent for on-demand penetration testing in six AWS Regions. AWS Security Agent delivers autonomous penetration testing that operates 24/7 at a fraction of the cost than manual penetration tests. This milestone transforms penetration testing from a periodic bottleneck into an on-demand capability that scales with your development velocity across AWS, Azure, GCP, other cloud-providers, and on-premises. With multicloud support, AWS Security Agent allows you to consolidate penetration testing across your entire infrastructure.  Previewed at re:Invent 2025, AWS Security Agent represents a new class of frontier agents that are 

AWS Private Certificate Authority (AWS Private CA) now publishes certificate authority (CA) utilization metrics to Amazon CloudWatch, providing visibility into your CA usage. AWS Private CA enforces service quota limits on the number of certificates a CA can issue and the number of CAs you can create per Region. The new metrics track the number of certificates issued by each CA and the total number of CAs in each Region, enabling you to monitor usage against these quotas and proactively manage CA lifecycle to maintain high availability. With these metrics, you can configure CloudWatch alarms to prevent quota-related service disruptions. For example, you can set alarms to trigger automation that replaces a CA approaching its certificate issuance quota and transitions certificate issuance to a new CA. This is particularly important when using AWS services that rely on AWS Private CA certificates, such as Amazon EKS, Amazon ECS Service Connect, and Amazon WorkSpaces. T

Amazon CloudWatch Logs Insights now supports a new lookup command that enables customers to enrich log query results with data from reference tables. Developers, DevOps engineers, and SREs working with complex distributed systems often encounter logs containing opaque identifiers such as GUIDs, IP addresses, or internal resource IDs that are difficult to interpret without additional context. With the lookup command, you can join log data against a lookup table at query time, automatically enriching your results with meaningful values. For example, you can translate a customer ID into a customer name or map an internal IP address to the team that owns it. The new command makes log analysis faster and more intuitive without requiring pre-processing pipelines.  The lookup command is available today in all commercial AWS Regions.  To get started, upload a CSV file by navigating to CloudWat

AWS Transform custom now offers seven new AWS-managed transformations to help you modernize code at scale. These transformations address common modernization scenarios across multiple languages and frameworks. Generally available transformations includes comprehensive codebase analysis transformation, enabling you to generate hierarchical, cross-referenced documentation covering architecture, business logic, and technical debt, with actionable insights on outdated components and maintenance concerns. The Node.js version upgrade transformation is now generally available and includes comprehensive library upgrade support, enabling you to upgrade Node.js applications from any source version to any target version with full dependency modernization. Those transformations available in early access include Java performance optimization transformation helps you analyze Java Flight Recorder (JFR) profiling data to detect CPU and memory hotspots and anti- patterns, then appl

Amazon Relational Database Service (Amazon RDS) for Oracle is now available on AWS Outposts. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any data center, co-location space, or on-premises facility for a consistent hybrid experience. As a result, customers can run applications using AWS features and services in their on-premises environment for applications that require data residency, regulatory, or other business constraints. With Amazon RDS for Oracle on AWS Outposts, customers can now use a managed Oracle database service on premises, just as they do in the cloud. Amazon RDS for Oracle on AWS Outposts offers fully managed database management experience such as automated backups, automated patching, point-in-time recovery, monitoring with Amazon CloudWatch, and data encryption at rest with AWS KMS. Amazon R

AWS Transform custom announces the general availability of the comprehensive codebase analysis transformation. This up-front analysis reduces documentation maintenance burden and preserves critical institutional knowledge. This enables you to better understand the current state of your codebase before starting a modernization effort, reducing the time and guesswork involved in planning large-scale upgrades. It performs deep static analysis and generates structured documentation covering architecture, technical debt, code metrics, reference documentation, migration planning, and diagrams. Behavior analysis is available in early access. The transformation analyzes codebases in any language, including Python, Java (Maven and Gradle), Node.js, .NET, and applications exceeding one million lines of code. It produces a technical debt report that identifies outdated components and end-of-life dependencies, and recommends specific AWS-managed transformations to address them — helping y