Operations | Monitoring | ITSM | DevOps | Cloud

Latest posts

Digitate: Prevent sudden process disruptions - with business observability

Every enterprise depends on multiple key processes that directly impact revenue, supply chains, and customer experiences. These processes are often dynamic, and complex- connecting multiple applications and having many sub processes and dependencies. IT teams relying only on metrics, events, logs, and traces struggle to find the answer to the important business process issues. Why did transactions fail? Which delays are impacting revenue and customers? And where should IT focus first?

How to Manage Icinga with Ansible Webinar

Managing monitoring environments shouldn’t be a manual chore. In this hands-on webinar, we show you how to fully automate your Icinga infrastructure using the Ansible Collection for Icinga. We take you step by step through everything from installing Icinga 2 to configuring master instances, setting up monitoring agents, building core objects, and integrating common components like Icinga Web, all driven by Ansible.

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.