Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How Do I Integrate DCIM With My Existing ITSM System?

In many organizations, ITSM tools and data center infrastructure tools operate in separate silos, leading to incomplete records and limited visibility. CMDB records are often incomplete or out of date because updates rely on manual entry, while incidents, changes, and service requests in ITSM lack full visibility into the physical infrastructure. Integrating DCIM with ITSM closes this gap, ensuring CMDB data matches reality and linking service workflows to accurate, actionable information.

How Does Website Infrastructure Impact Operational Efficiency in Growing Teams?

Growing teams don't struggle because of big strategic questions first. They stumble on slow dashboards, broken logins, and sites that freeze during peak traffic. Website infrastructure either clears the runway or scatters debris across it. When systems respond fast, teams ship faster, support fewer fires, and argue less about whose tool failed. Poor infrastructure does the opposite. It multiplies tickets, adds delays, and burns morale. The pattern shows up in every scale-up: technology either amplifies discipline or exposes chaos instantly, sometimes in a single intense quarter of growth.

Drift Under Control: Keep Your Infrastructure Consistent with Continuous Detection, Intelligent Analysis, and Safe Remediation

In cloud-native environments, infrastructure is in constant flux. Teams move fast, leveraging Infrastructure-as-Code (IaC), ephemeral resources, and automation to iterate quickly. But speed brings a cost: configuration drift. A single manual change in the cloud console, an untracked automation script, or an out-of-band fix can cause your infrastructure to fall out of sync with code. Over time, this erodes trust, breaks pipelines, and introduces silent risk.

MCP: Why AI Needs Git Intelligence

GitKraken CTO Eric Amodio breaks down the Model Context Protocol (MCP) and explains why Git intelligence is critical for AI agents at GitKon 2025. In this session, Eric covers: What MCP is and why every major AI company adopted it Why AI needs Git history, not just file system access How GitKraken MCP removes Git pain safely The future of agentic developer workflows How Commit Composer uses AI to organize commits without losing data.

GitKraken Insights | Engineering Intelligence in Minutes

Most software intelligence tools take months to implement, cost a fortune, and end up collecting dust. GitKraken Insights is different. It helps engineering leaders measure what matters: AI impact, code quality, delivery performance, and developer experience, all in one place. It’s the latest evolution of the GitKraken DevEx platform, trusted by over 40 million developers. Insights connects data from across your GitKraken tools to give you a complete picture of engineering health and value. We're talking DORA metrics, pull request metrics, and AI impact.

From idea to agent: Building AI workflows with relaxAI and n8n

Join us for this live online webinar as we explore how to design, build, and deploy practical AI agents using n8n’s workflow automation platform powered by relaxAI’s UK sovereign infrastructure. Our speaker, Ben Norris, AI Engineer at Civo, will guide you through the real-world process of creating intelligent agents that automate tasks across tools and services, all without deep coding expertise.

Enforcing web performance budgets in CI/CD with Sitespeed.io and Slack

Keeping your website fast as new features are introduced is a challenge. Performance regression is common issue that continues to plague websites, especially those of SaaS companies. In performance regression, newly shipped features introduce bloat, leading to slow page loads and reduced user conversion rates. This is exactly what setting performance budgets helps prevent.