Operations | Monitoring | ITSM | DevOps | Cloud

Gaming Rigs That Balance Speed, Stability, and Power

Finding the right balance for a PC setup involves looking at several factors. High frame rates matter, but stability keeps the experience smooth - here I have used the hyphen-minus symbol instead of an em dash. Many enthusiasts search for machines that handle both intense creative work and fast-paced competitive matches. You need hardware that stays cool under pressure. Choosing parts often means looking at long-term value and current tech trends. A great rig handles modern software without breaking a sweat. It provides a reliable foundation for all your digital needs.

AI Assistant for Calico: Troubleshooting at the Speed of Thought

Despite the wealth of data available, distilling a coherent narrative from a Kubernetes cluster remains a challenge for modern infrastructure teams. Even with powerful visualization tools like the Policy Board, Service Graph, and specialized dashboards, users often find themselves spending significant time piecing together context across different screens.

Claude Code + Lightrun MCP: Your AI Agent Now Has Live Runtime Vision

Claude Code, Anthropic’s coding agent, now integrates with Lightrun through MCP. AI code assistants have been flying blind. Google Dora’ 2025 report found it is causing, an almost 10% increase in code instability. Even with up to 1M tokens of context available in Claude, this powerful agenti cannot see how the code it writes actually behaves inside a live system under real traffic, real dependencies, and under a load of 10,000 requests per second.

Architecting MCP for AI Agents: Lessons from Our Redesign | Harness Blog

-- Key Takeaways: The Harness MCP server is an MCP-compatible interface that lets AI agents discover, query, and act on Harness resources across CI/CD, GitOps, Feature Flags, Cloud Cost Management, Security Testing, Resilience Testing, Internal Developer Portal, and more. -- The first wave of MCP servers followed a natural pattern: take every API endpoint, wrap it in a tool definition, and expose it to the LLM.

CI Pipeline Optimization Guide for Platform Engineering Leaders | Harness Blog

Definition: CI pipeline optimization is the practice of reducing build and test time and the cost per build by running only what matters, reusing unchanged components, and enforcing standardized governance. Platform teams are wasting thousands of hours every year because their pipelines aren't working right. Developers wait 45 minutes for builds. Jenkins consumes 20% of your team's capacity on maintenance.

Real-Time Data: The Engine of Efficient, Sustainable Data Centers

Imagine knowing every detail of your data center as it happens. Real-time data makes this possible. You can monitor systems, track performance, and adjust resources on the fly. This proactive approach leads to smoother operations and reduced downtime. By constantly having up-to-date information, you can maintain peak efficiency in your facility. Such insights allow you to optimize cooling and power use, which are crucial to keeping costs down.