Operations | Monitoring | ITSM | DevOps | Cloud

Reduce CI Costs Without Slowing Down Development | Harness Blog

Continuous integration (CI) costs can escalate quickly as engineering teams scale. While most organizations focus on cloud bills, the true cost of CI includes slow build times, developer wait time, inefficient test execution, and overprovisioned infrastructure. CI cost optimization is the practice of reducing the total cost of CI pipelines by improving build efficiency, minimizing compute usage, and eliminating unnecessary work without slowing down development.

Teach Your AI Coding Agent to Instrument, Monitor, and Troubleshoot Infrastructure with netdata/skills

There’s a growing ecosystem of AI coding agents: Claude Code, Cursor, Copilot, Codex, Gemini CLI, Windsurf, and others. They’re good at writing code, but they don’t inherently know how to instrument that code for observability, configure monitoring infrastructure, or troubleshoot production systems using real telemetry data. That knowledge lives in documentation, runbooks, and the heads of your senior SREs.

Certificate Audit logs are live

Certificate automation does a lot of work on your behalf. Agents running on your servers, talking to certificate authorities, deploying certs to your infrastructure. At some point someone (your CISO, your auditor, or your own brain at 3am) is going to ask: what exactly happened, and when? Today we’re shipping audit logs. Every action taken in CertKit is now recorded: logins, invitations, certificates added, issued, renewed, revoked, and deployed. Agent registrations, approvals, and config changes.

The Productivity Tax of Repeat IT Failures in Technology Companies

Technology companies are being pushed to deliver faster outcomes while justifying growing investment in AI, SaaS, and digital infrastructure. But productivity does not improve just because new tools are deployed. It improves when employees can use those tools without the constant drag of slow devices, unstable applications, and fixes that do not fully solve the problem. That is the productivity tax of digital friction.

How to Create Your Own Plugins and Check Commands in Icinga 2

If you’ve been using Icinga 2 for a while, you probably know the built-in checks cover a lot of ground: disk space, CPU, memory, ping. But sooner or later you’ll run into something specific to your setup that no existing plugin handles. That’s where writing your own plugin comes in. The good news? It’s simpler than it sounds. Icinga 2 doesn’t care what language your plugin is written in. It just runs the script, reads the exit code, and displays the output. That’s it.

The sovereignty shift: how to grow regional tech ecosystems

Manchester is one of the UK’s leading tech ecosystems – but how did it get there? In this episode, Pulsant’s Wendy Shearer speaks with Katie Gallagher from Manchester Digital about Manchester’s rise as a powerhouse for UK tech, data sovereignty, innovation, talent and inclusive growth. Discover how the region has evolved from its strong industrial heritage into a thriving digital economy now home to major FTSE 100 companies and six unicorn businesses.

Resolve's Agents of IT podcast - S2E10 - Effective AI Governance & Farewell, Ari

In this special episode of Agents of IT, the team dives into one of the biggest questions shaping enterprise AI right now: Is AI adoption moving faster than governance can keep up? Ari, Fran, Zach, and Ian break down the growing tension between agentic AI, automation, security, and oversight. From AI hallucinations and context overload to GRC challenges, shadow AI, and the future of AI governance roles, the conversation explores what enterprises need to consider as autonomous operations become reality.

NVIDIA Vera Rubin: What is it, what's new, and when you can get it

NVIDIA's infrastructure roadmap moves fast, and the next major milestone is already here. The NVIDIA Vera Rubin platform is the company's next-generation AI compute architecture, the successor to Blackwell, and it's shaping up to be one of the most significant leaps forward in AI infrastructure NVIDIA has ever shipped. Whether you're planning your next training cluster, scaling inference pipelines, or building the infrastructure to power autonomous agents, Vera Rubin is worth understanding now.

Honeycomb Canvas: The Multiplayer Workspace for the Agentic Era

Last week, we launched a major update to Canvas, our investigation workspace. The new Canvas has evolved from an AI co-pilot you chat with to a place where your whole team, human and agent, can work the same problem on the same surface. Auto-investigations begin the moment a trigger, SLO, or anomaly fires. Custom skills encode your team's runbooks so every agent investigates with your team's expertise built in.

Introducing Atatus Sensitive Data Classifier

Your logs know too much. Every debug statement, every traced request, every APM span can carry the risk of capturing something they shouldn't. A customer email. A JWT token. A credit card number. An API key that was never meant to leave your payment service. It doesn't look like a breach. There's no alert. Your observability platform just quietly accumulates sensitive data like indexed, replicated, and accessible to every engineer with log query access.