Operations | Monitoring | ITSM | DevOps | Cloud

How is Agentic AI fundamentally different from earlier automation?

Autonomous operations has been the goal for years. But most “automation” never got us there—it just helped teams keep up. Now that’s changing. Agentic AI introduces a fundamentally different model:– Purpose-built agents, not static workflows– Real-time decisioning, not predefined rules– Collaboration across agents, not isolated tasks Instead of automating steps, agentic AI enables systems to **reason, adapt, and act**—at a speed and scale humans simply can’t match. That’s what turns autonomous operations from a long-standing ambition into something actually achievable.

Database Performance Monitoring: Query-Level Visibility Across 14+ Databases

Netdata has always collected database metrics: connections, throughput, replication lag, buffer cache hit ratios, and so on. These tell you that something is wrong, but they don’t tell you why. When your PostgreSQL response time spikes, the metric alone doesn’t tell you which query is responsible. For that, you’ve traditionally needed to SSH into the box, connect to the database, and run diagnostic queries manually. Or set up a separate database monitoring tool entirely.

The Claude Bill is Too Damn High #speedscale #claude #aiagents #aicoding #devops #llms

Stop overpaying for AI reasoning by trading expensive GPU cycles for efficient, deterministic testing. This video explores how tools like linters and traffic replay can complement Claude, helping you fix bugs more accurately while cutting token usage by up to 50%. Visit: speedscale.com to learn more.

How to Manage Secure Boot Certificate Expiration with NinjaOne

NinjaOne Field CTO Jeff Hunter shows how to setup and use a community script to evaluate and report on which devices are prepared for the upcoming expiration of important certificates in the UEFI Secure Boot chain. A massive thank you to Sam K for sharing and continually updating this script! Chapter Markers.

What Is Mean Time to Resolve (MTTR)? (And How to Improve It)

Every minute a network incident goes unresolved costs your company money. Lost productivity, missed SLAs, degraded user experience, and, in other cases, direct revenue loss. For IT teams and network admins, the pressure to resolve incidents fast isn't just operational, it's existential.

From Health Scores to Autonomous Action: What Changes When Your CS Platform Stops Reporting and Starts Executing

Here is something worth sitting with before any AI conversation: a red health score has never renewed a contract. A CSM (Customer Success Manager) still had to open it, interpret it, write the email, log the call, and route the escalation. The dashboard told you something was wrong. Everything after that was still manual. That gap, between knowing and doing, is what agentic AI is closing. Not only by making dashboards smarter.

Sentry + Claude Agents: Automatic Bug Fixes from Root Cause to PR

Seer, Sentry's AI debugger, automatically analyzes your issues and finds the root cause. Now you can pass that analysis directly to a Claude agent - a managed agent session in the Claude Console at platform.claude.com. Once it's done, a link to the branch appears in Sentry so you can review and merge the PR. This video walks through how the integration works and how to set it up in under two minutes.

Shipping trustworthy code with Chunk CLI

AI coding agents are fast. They generate functions, refactor modules, and wire up boilerplate faster than any human. What they don’t do by default is enforce the conventions a specific team has agreed on: the lint rules, the review patterns that senior engineers flag on every PR. A generated diff looks clean until someone runs CI or reads it carefully.

From Keyword Search to Ask AI: How We Upgraded AppSignal's Docs Experience

Documentation search is often the last thing devs think about, until someone posts publicly that they couldn't find a basic answer, or your support queue fills up with things that are genuinely in the docs. We decided to get ahead of that. This is the story of how we went from a minimal keyword-only search on our docs to a conversational Ask AI experience.