The Green Side of Observability: Why Less Data Can Mean More Insight
When we think about sustainability in software, the conversation often revolves around efficient algorithms, optimized cloud usage, or energy-conscious infrastructure. […]
Survey: AI Coding Exacerbates Existing DevOps Workflow Issues
A global survey of 700 software engineering practices published this week finds that thanks to increased reliance on artificial intelligence
March Patches for Azure DevOps Server
We are releasing patches for our self‑hosted product, Azure DevOps Server. We strongly recommend that all customers stay on the
Low-Code’s New Frontier: Tailored Solutions for Each Industry
For years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications
Achieving Test Reliability for Native E2E Testing: Beyond Fixing Broken Tests
End-to-end (E2E) tests are particularly important for native applications that run on various platforms (Android/iOS), screen sizes, and OS versions.
How to Run Claude Code with Docker: Local Models, MCP Servers, and Secure Sandboxes
Claude Code is quickly becoming a go-to AI coding assistant for developers and increasingly for non-developers who want to build
Secure Agent Execution with NanoClaw and Docker Sandboxes
Agents have enormous potential to power secure, personal AI assistants that automate complex tasks and workflows. Realizing that potential, however,
The Risk Profile of AI-Driven Development
In the cloud-native ecosystem, velocity is everything. We built Kubernetes, microservices, and CI/CD pipelines to ship faster and more reliably.
How eBPF and OpenTelemetry Have Simplified the Observability Function
While many IT and engineering leaders understand the benefits of a comprehensive observability practice, achieving full visibility still presents some
AI Is Forcing DevOps Teams to Rethink Observability Data Management
As AI coding tools accelerate software delivery, they are also intensifying a problem DevOps and SRE teams have been dealing