Operations | Monitoring | ITSM | DevOps | Cloud

Sponsored Post

"Proactive Insights for a Reactive World": What Makes Collective IQ Different for Business Leaders

From a business executive's perspective, the core question is not how many metrics a tool collects, but how clearly it connects technology to business productivity, cost, and risk. Dave Wagner summarizes this nicely: "if you're a business leader, what's really powerful about Collective IQ is it's not just technology metrics, it's productivity metrics."

Dr. Argo Called - Do your custom resources need a check-up | Argo Unpacked Ep. #26

In this episode of Dr. Argo Called, we examine the GitOps “manifest dilemma” by comparing Helm, Kro, Kustomize, and Crossplane for Kubernetes deployments, and explore what their differences mean in a GitOps-driven workflow. We also delve into the often-overlooked topic of custom resource health checks in Argo CD—why they matter, why they shouldn’t reside within Argo CD, and how they could be designed more effectively.

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.