AWS DevOps & Developer Productivity Blog

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Introducing AWS Cloud Control API MCP Server: Natural Language Infrastructure Management on AWS

Today, we’re officially announcing the AWS Cloud Control API (CCAPI) MCP Server. This MCP server transforms AWS infrastructure management by allowing developers to create, read, update, delete, and list resources using natural language. As part of the awslabs/mcp project, this new and innovative tool serves as a bridge between natural language commands and AWS infrastructure […]

Flexibility to Framework: Building MCP Servers with Controlled Tool Orchestration

MCP (Model Context Protocol) is a protocol designed to standardize interactions with Generative AI models, making it easier to build and manage AI applications. It provides a consistent way to communicate context with different types of models, regardless of where they’re hosted or how they’re implemented. The protocol helps bridge the gap between model deployment […]

Troubleshooting Elastic Beanstalk Environments with Amazon Q Developer CLI

Troubleshooting Elastic Beanstalk Environments with Amazon Q Developer CLI

Introduction Developers working with AWS find AWS Elastic Beanstalk to be an invaluable service that makes it straightforward to deploy and run web applications without worrying about the underlying infrastructure. You simply upload your application code, and Elastic Beanstalk automatically handles the details of capacity provisioning, load balancing, scaling, and monitoring, which allows you to […]

Streamline DevOps troubleshooting: Integrate CloudWatch investigations with Slack

Infrastructure alerts pose a challenge for DevOps teams, particularly when they occur outside of regular business hours. The complexity isn’t merely in receiving notifications, it lies in rapidly assessing their severity and determining the root cause. This challenge is compounded when upstream service disruptions cascade into multiple downstream alerts, creating a confusion of notifications that […]

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GitOps continuous delivery with ArgoCD and EKS using natural language

Introduction ArgoCD is a leading GitOps tool that empowers teams to manage Kubernetes deployments declaratively, using Git as the single source of truth. Its robust feature set, including automated sync, rollback support, drift detection, advanced deployment strategies, RBAC integration, and multi-cluster support, makes it a go-to solution for Kubernetes application delivery. However, as organizations scale, […]

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Streamline Operational Troubleshooting with Amazon Q Developer CLI

Amazon Q Developer is the most capable generative AI–powered assistant for software development, helping developers perform complex workflows. Amazon Q Developer command-line interface (CLI) combines conversational AI with direct access to AWS services, helping you understand, build, and operate applications more effectively. The Amazon Q Developer CLI executes commands, analyzes outputs, and provides contextual recommendations […]

Accelerate development with secure access to Amazon Q Developer using PingIdentity

 Overview Customers adopting Amazon Q Developer, a generative AI-powered coding companion, often need authentication through existing identity providers like PingIdentity. By leveraging AWS IAM Identity Center, organizations can enable their developers to access Amazon Q Developer with their existing PingIdentity credentials, streamlining authentication and removing the need for separate login procedures. Amazon Q Developer can […]