Operations | Monitoring | ITSM | DevOps | Cloud

Outages are less common than they once were, but when they happen, the impact is severe. According to the Uptime Institute Global Data Center Survey 2025, half of data center operators reported at least one impactful outage in the past three years, and one in ten of those caused a serious or severe disruption. The financial risk is just as significant. 20% of operators said their most recent outage cost more than $1 million when accounting for downtime, recovery, and reputational damage.

The software world has spent the last two years obsessed with one question: “Will AI replace developers?” Wrong question. The right question is: “How do developers stay in control while AI becomes part of the toolchain?” Welcome to The Builders Era, where the craft of software development and AI’s computational power meet on developer terms. Not as a replacement narrative. Not as a threat to our profession.

I admit I was a little skeptical going into KubeCon 2025. The last time I went, in 2022, it felt tactical. I heard lots of conversations around small solutions to small problems. Practical knowledge-sharing is of course beneficial, but I’m most inspired by the big picture — ideally, a picture bigger than you can see anywhere outside of your mind. I’m heartened to say that KubeCon 2025 was exactly that.

This is a comparison of various different coding agents. We conducted this prior to the release of Google’s Gemini 3 and hope to update it soon with Google Gemini 3 inclusion.

Discover the basics of cloud efficiency as well as six advanced data-driven strategies you can use to make your cloud environment more efficient. With incredibly complex cloud architecture — that may even include Kubernetes and multi-tenant infrastructure — organizations are finding it hard to measure and monitor the performance and cost of their cloud environments.

Modern systems produce endless streams of metrics. CPU usage, request volume, cache hit rates, node counts, queue depth, the list keeps growing. With this much data, it’s easy for teams to get lost in dashboards without knowing what actually matters. That’s why DevOps and SRE teams rely on the 4 Golden Signals of System Reliability. They provide the simplest and clearest way to understand user experience and system health.

The Incident Management vs. Change Management are two such moments that highlight a core difference teams face every day. One is a reaction to failure. The other is a planned improvement. That’s the heart of incident management vs. change management. Both keep systems reliable, and both help teams move faster without breaking things. Let’s explore how they differ and how they work together.

You can use an observability platform that automatically discovers your services and provides ready-to-use dashboards with minimal setup. If you're running a system where microservices come and go, containers shift around, or serverless functions scale up quickly, this kind of experience saves you a lot of time. You gain visibility as soon as something goes live, without requiring any additional steps on your part. In this blog, we talk about the top seven platforms that offer these capabilities.