Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Seer Agent: The answer is already in Sentry. Now you can ask for it.

This is a story about an engineer’s night that could have been bad, but ended up… not so bad. A few weeks ago, on a Saturday, our AI debugger, Seer, started failing. Note the big scary spike on the right. The errors were generic failures from the LLM calls, nothing that pointed at a root cause. Most of the team wasn’t scheduled to be on this weekend, and it just so happened Indragie, our Head of AI, was online. He started paging engineers.

Certificate Discovery, Monitoring and Reporting | WhatsUp Gold 2026.0

Discover how WhatsUp Gold helps you identify and monitor certificates to reduce security risks, stay compliant, and avoid outages caused by expired or improperly configured certificates, featuring the latest reporting enhancements available in WhatsUp Gold version 2026.0.

Disaster Recovery Testing in Harness | Resilience Testing

In this video, we introduce Harness Resilience Testing and show you how to move beyond once-a-year DR drills to a continuously validated, pipeline-driven process. You'll see how Harness lets you validate regional failovers, check database replication lag under pressure, and confirm your hot standbys genuinely take over live traffic, all in one place. We also walk through a live DR test execution, showing exactly how Harness triggers the full failover sequence, runs every validation step automatically, and gives you a clear pass or fail result in real time.

Misconfigured Alert Detection: Find the Alerts That Need Tuning

Netdata ships with hundreds of stock alerts. They cover a wide range of infrastructure conditions and they’re designed with sensible defaults. But “sensible defaults” and “correct for your environment” are not the same thing. A CPU threshold that’s perfectly reasonable for a build server might generate constant noise on a machine running batch jobs.

What "AI-Ready Data" actually means for observability teams

Many organizations deploying AI are learning similar lessons right now: the challenge isn’t this or that AI model, it’s the data. According to Gartner, 60% of AI projects will be abandoned by organizations because of failures to support these projects with AI-ready data. Also, 63% of organizations either lack or aren’t sure they have the right data management practices to get there.

Now in Harness DB DevOps: Percona Toolkit for safer MySQL schema changes | Harness Blog

If you've ever run an ALTER TABLE on a busy MySQL table in production, you know the feeling. The change is small. The risk isn't. Long-running table locks, queued writes, application timeouts, replication lag, a five-minute migration that turns into a half-hour incident review. We're shipping an integration that takes that anxiety out of the loop. Harness Database DevOps now supports Percona Toolkit for MySQL as part of Liquibase-based schema management.

Why GitOps for MongoDB Matters: A Case for Harness DB DevOps | Harness Blog

Most development teams today build everything around Git, and deploy with GitOps principles. Code sits in version controlled environments, changes go through PRs, and deployments are handled through modern CI/CD. That part is pretty standard at this point, especially when using a modern DevOps platform like Harness.