News For Dev-ops

AWS Lambda launches enhanced observability for Kafka event source mappings (ESM) that provides Amazon CloudWatch Logs and metrics to monitor event polling setup, scaling, and processing state of Kafka events. This capability allows customers to quickly diagnose setup issues and take timely corrective actions to operate resilient data streaming workloads. This capability is available for both Amazon Managed Streaming for Apache Kafka (Amazon MSK) and self-managed Apache Kafka (SMK) event source mappings. Customers use Kafka event source mappings (ESM) with their Lambda functions to build mission-critical applications. However, the lack of visibility into event polling setup, scaling, and processing state for events slows down troubleshooting for issues resulting from faulty permissions, misconfiguration, or function errors, which increases mean time to resolution and adds operational overhead. With this launch, customers can enable CloudWatch Logs and metrics to monitor their Kafka po...

Amazon RDS for Oracle now supports cross-Region replicas with additional storage volumes. With additional storage volumes, customers can add up to three storage volumes, each with up to 64 TiB, in addition to the primary storage volume for their database instance. As a result, customers get flexibility to add or remove storage with evolving workload demands, without incurring application downtime, and set up their database instance with up to 256 TiB storage. Now, with support for cross-Region replicas, customers that set up database instances with cross-Region replicas for business-critical applications also get the benefit of using additional storage volumes for storage flexibility. When you create a cross-Region replica for a database instance that is set up with additional storage volumes, Amazon RDS for Oracle automatically configures the same storage layout on the replica. Subsequently, you can apply changes to additional storage volumes on the primary instance and the replica...

Microsoft Agent Framework now integrates with the Claude Agent SDK , enabling you to build AI agents powered by Claude's full agentic capabilities. This integration brings together the Agent Framework's consistent agent abstraction with Claude's powerful features, including file editing, code execution, function calling, streaming responses, multi-turn conversations, and Model Context Protocol (MCP) server integration — available in Python. Why Use Agent Framework with Claude Agent SDK? You can use the Claude Agent SDK on its own to build agents. So why use it through Agent Framework? Here are the key reasons: Consistent agent abstraction — Claude agents implement the same BaseAgent interface as every other agent type in the framework. You can swap providers or combine them without restructuring your code. Multi-agent workflows — Compose Claude agents with other agents (Azure OpenAI, OpenAI, GitHub Copilot, and more) in sequential, concurrent, handoff, and group chat ...

Today, AWS announces the launch of Partner Revenue Measurement, a new capability that gives AWS Partners visibility into how their solutions impact AWS service consumption across partner-managed and customer-managed accounts. Partner Revenue Measurement allows Partners to better understand their AWS revenue impact and product consumption patterns. Partners can now tag AWS resources using the product code from their AWS Marketplace listing with tag key: aws-apn-id and tag value : pc:<AWS Marketplace product-code> to quantify and measure the AWS revenue impact of that solution. Partner Revenue Measurement is generally available in all commercial regions. To learn more about implementing Partner Revenue Measurement, review the onboarding guide for more information. Post Updated on January 30, 2026 at 05:05PM

You can now change the server-side encryption type of encrypted objects in Amazon S3 without any data movement. You can use the UpdateObjectEncryption API to atomically change the encryption key of your objects regardless of the object size or storage class. With S3 Batch Operations, you can use UpdateObjectEncryption at scale to standardize the encryption type on entire buckets of objects while preserving object properties and S3 Lifecycle eligibility. Customers across many industries face increasingly stringent audit and compliance requirements on data security and privacy. A common requirement for these compliance frameworks is more rigorous encryption standards for data-at-rest, where organizations must encrypt data using a key management service. With UpdateObjectEncryption, customers can now change the encryption type of existing encrypted objects to move from Amazon S3 managed server-side encryption (SSE-S3) to use server-side encryption with AWS KMS keys (SSE-KMS). You can al...

We're excited to announce the release of Dev Proxy v2.1.0!  This release brings two major productivity features that developers have been asking for: automatic configuration hot reload and stdio traffic proxying - perfect for testing MCP servers and other stdio-based tools. In this version: Configuration hot reload  - Dev Proxy automatically restarts when you change the config file Stdio traffic proxying - Intercept, inspect, and mock stdin/stdout/stderr traffic New --api-port command-line option LatencyPlugin now supports delays greater than 10 seconds CORS support for the Dev Proxy web API Multiple bug fixes and improvements Configuration hot reload No more manual restarts when tweaking your proxy configuration. Dev Proxy now watches your configuration file and automatically restarts when you save changes.   This was one of our oldest feature requests - dating back to April 2023. Whether you're adjusting failure rates, adding plugins, or changing URL patte...

Modern infrastructure work is increasingly agent driven, but only if your AI actually understands the platform you’re deploying. This guide shows how to turn GitHub Copilot CLI into an Azure Cosmos DB aware infrastructure expert by loading the Azure Cosmos DB Agent Kit. In under a minute, you’ll give Copilot deep, opinionated knowledge of Azure Cosmos DB best practices so it can review, generate, and optimize your Terraform, Bicep, Docker, and CI/CD configurations directly from your terminal. TL;DR — Get Started in 30 Seconds npx add-skill AzureCosmosDB/cosmosdb-agent-kit copilot > Review my Terraform config for Azure Cosmos DB multi-region best practices: > @infra/main.tf That's it! Copilot CLI now has expert-level Azure Cosmos DB infrastructure knowledge for your IaC workflows. What is GitHub Copilot CLI? GitHub Copilot CLI is a terminal-native AI coding agent that brings the full power of GitHub Copilot to your command line. Unlike browser-based tools, it works dir...

Amazon DynamoDB global tables with multi-Region strong consistency (MRSC) now supports application resiliency testing with AWS Fault Injection Service (FIS), a fully managed service for running controlled fault injection experiments to improve application performance, observability, and resilience. With this launch, you can create real-world failure scenarios to MRSC global tables, such as during regional failures, enabling you to observe how your applications respond to these disruptions and validate your resilience mechanisms. MRSC global tables replicate your DynamoDB tables automatically across your choice of AWS Regions to achieve fast, strongly consistent read and write performance, providing you 99.999% availability , increased application resiliency, and improved business continuity. FIS is a fully managed service for running controlled fault injection experiments to improve an application’s performance, observability, and resilience. You can use the new FIS action to obser...

Artificial Intelligence (AI) is transforming how we build applications. The .NET team has prioritized keeping pace with the rapid changes in generative AI and continue to provide tools, libraries, and guidance for .NET developers building intelligent apps. With .NET, developers have a powerful ecosystem to integrate AI seamlessly into their apps. This post introduces the building blocks for AI in .NET . These include: Microsoft.Extensions.AI for unified LLM access Microsoft.Extensions.VectorData for semantic search and persisted embeddings Microsoft Agent Framework for agentic workflows Model Context Protocol (MCP) for interoperability We'll explore each library with practical examples and tips for getting started. This is the first of four posts which will cover each of the four areas mentioned. Introducing Microsoft.Extensions.AI: one API, many providers The foundational library for interfacing with generative AI in .NET is the Microsoft Extensions for AI, often abbrev...

We enter 2026 with the SharePoint Framework stronger than ever. Adoption has expanded, feedback has sharpened our priorities, and the platform continues to power intelligent and scalable experiences across Microsoft 365 . December marked an important milestone with the release of SPFx version 1.22 , which delivered platform improvements based directly on customer and partner feedback. Building on that momentum, we are announcing the 1.22.2 release that focuses on addressing known audit related issues with a new model to address these on monthly basis to reduce any security concerns. This year we continue accelerating again on SPFx side, bringing new features, AI assisted scenarios, and improvements shaped by our global community feedback and input . Since launching this monthly blog series in September 2025, our goal has been to provide clear insight into the SPFx roadmap and maintain an open and predictable communication rhythm with our ecosystem . With the January 2026 update, we c...

Amazon Connect now enables you to apply tag-based access control to cases, giving administrators more control over who can view and manage case data. With this capability, you can associate tags with case templates and configure security profiles to control which users can access cases that include specific tags. For example, you can tag fraud-related cases and restrict access so that only users assigned to a fraud security profile can view or edit those cases, helping you enforce internal controls and data access policies. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation . Post Updated on January 27, 2026 at 04:00PM

AWS IAM Identity Center now supports Internet Protocol version 6 (IPv6) through new dual-stack endpoints. Customers can now connect to AWS IAM Identity Center using IPv6, IPv4, or dual-stack clients. The existing AWS IAM Identity Center endpoints supporting IPv4 remain available for backward compatibility. IAM Identity Center allows customers to enable workforce access to AWS managed applications and AWS accounts. When your client, such as a browsers or an application, makes a request to a dual-stack endpoint, the endpoint resolves to an IPv4 or IPv6 address, depending on the protocol used by your network and client. This launch helps you meet IPv6 compliance requirements, and minimize the need for complex NAT infrastructure. IPv6 support is available in all AWS Regions where IAM Identity Center is available, except the AWS GovCloud (US) Regions and the Taipei Region. To learn more, visit the IAM Identity Center User Guide . Post Updated on January 26, 2026 at 06:02PM

Amazon Managed Grafana is now available in both AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions, enabling government customers and regulated industries to securely visualize and analyze their operational data while meeting stringent compliance requirements. Amazon Managed Grafana is a fully managed service based on open-source Grafana that makes it easier for you to visualize and analyze your operational data at scale. All Amazon Managed Grafana features are supported in AWS GovCloud (US) Regions except for Enterprise plugins. To get started with Amazon Managed Grafana, visit the AWS Console and Amazon Managed Grafana user guide . To learn more about Amazon Managed Grafana, visit the product page and pricing page . Post Updated on January 26, 2026 at 03:00PM

VS Code now supports MCP Apps, enabling AI agents to display interactive UIs for richer developer workflows. Read the full article Post Updated on January 26, 2026 Thanks for reading from devamazonaws.blogspot.com

As enterprise customers roll out and govern AI agents through Agent 365 , they have been asking for pre canned evals they can run out of the box. They want transparent, reproducible evaluations that reflect their own work in realistic environments, including interoperability, how agents connect across stacks and into Microsoft Agent 365 systems and tools. In response, we are investing in a comprehensive evaluation suite across Agent 365 Tools with realistic scenarios, configurable rubrics, and results that stand up to governance and audit as customers deploy agents into production. Introducing Evals for Agent Interop , the way to evaluate those cross-stack connections end to end in realistic scenarios. Introducing Evals for Agent Interop As a first step, we’re launching ‘Evals for Agent Interop’, a starter evaluation kit debuting. ‘Evals for Agent Interop’ provides curated scenarios and representative data that emulate real digital work, along with an evaluation harness that organiz...

AWS is announcing flexible billing for Amazon WorkSpaces Core managed instances, adding monthly flat-rate pricing alongside existing hourly billing. Customers can now choose the optimal pricing model based on their end user usage patterns. Monthly billing is ideal for predictable full-time desktops and hourly billing is ideal for variable usage patterns. Both options are pay-as-you-go with no long-term commitments. Amazon WorkSpaces Core managed instances simplifies virtual desktop infrastructure (VDI) migrations with highly customizable instance configurations. WorkSpaces Core managed instances provisions resources in your AWS account, handling infrastructure lifecycle management for both persistent and non-persistent workloads. Monthly pricing delivers savings vs hourly billing at always-on utilization, optimized for real-world VDI use cases. With flexible billing, customers benefit from predictable costs for persistent desktop workloads and the flexibility to mix hourly and mont...

In Episode 110 of Azure Cosmos DB TV, host Mark Brown is joined by Sajeetharan Sinnathurai to explore how the Azure Cosmos DB MCP Toolkit is changing the way developers build, deploy, and scale AI agents using real application data. As agentic AI systems evolve, one challenge continues to surface: securely and consistently connecting AI agents to operational data—without rewriting integration logic for every platform. This episode takes a deep dive into how the Model Context Protocol (MCP), along with Azure Azure Cosmos DB’s implementation, addresses that challenge. Why MCP Matters for AI Agents At its core, MCP provides a standard way for AI agents to discover, understand, and interact with external systems. Instead of hard-coding integrations for each AI framework, developers can expose data sources once through an MCP server and reuse them across multiple tools and platforms. In the episode, Sajee explains how MCP shifts AI integrations away from brittle, one-off wiring towa...

This week we shipped the GitHub Copilot SDK which takes the agent loop from the Copilot CLI and makes it easy to embed in other applications. We’ve been using, improving, and extending Copilot CLI for the last few months and it’s sparked new ideas about what it means to have the right context right where we work. As developers, we spend most of our time in the terminal and our IDEs, and on most days, writing code isn’t the hard part. The hard part is everything around it: figuring out why something was built a certain way, tracking down a spec that defined a requirement, remembering which meeting introduced a change, or finding the right person to talk to when we have a question. Tools like GitHub Copilot CLI already do a great job helping with code. But they don’t see the work around the work that led to the code, such as the design doc that shaped it, the meeting where a decision was made, or the person or team that owns it. What if you could connect GitHub Copilot to have a deepe...

Amazon Connect Step-by-Step Guides now enables managers to build more dynamic and responsive guided experiences. Managers can create conditional user interfaces that adapt based on user interactions, making workflows more efficient. For example, managers can configure dropdown menus to show or hide fields, change default values, or adjust required fields based on the input in prior fields, creating tailored experiences for different scenarios. In addition, Step-by-Step Guides can now automatically refresh data from Connect resources such as flow modules at specified intervals, ensuring agents always work with the most current information. Amazon Connect Step-by-Step Guides is available in the following AWS regions : US East (N. Virginia), US West (Oregon), Canada (Central), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (London), and the AWS GovCloud (US-West) Region. To learn more and get ...

Introduction Picture this scenario: you've implemented a critical fix in your AI service and want to validate it against your comprehensive evaluation dataset. However, the prospect of deploying to Azure for a quick test creates an unwelcome delay in your development cycle. This challenge is common among AI developers. When developing AI applications, one of the most significant pain points is efficiently testing locally running services against cloud-based evaluation frameworks. While local development offers speed and debugging convenience, robust evaluations require the comprehensive pipelines that Azure Machine Learning provides. This creates tension between rapid iteration and thorough validation. We're excited to share an approach using Microsoft Devtunnels with Azure Machine Learning that has transformed our development workflow. This solution enables you to test local services against cloud evaluations seamlessly, maintaining both development velocity and evaluation ri...