Operations | Monitoring | ITSM | DevOps | Cloud

This year’s KubeCon underscored a real shift: AI SRE has gone mainstream. Of course, it’s not a surprise. Teams from high-growth startups to Fortune 500s are running more complex, cloud-native systems, shipping more AI-generated code, and facing rising expectations. Downtime is absolutely not an option and the work for on-call SREs has become unsustainable. The question isn’t whether AI SRE helps. It’s which one you can trust in production.

You don’t have to choose between capturing every signal and keeping costs predictable. Modern observability stacks blend full-fidelity storage (time series or columnar systems like ClickHouse and Apache Druid), tail-based sampling for heavy traffic, and tiered storage (hot/warm/cold with S3-backed archives). This gives you full-fidelity incident forensics with the day-to-day cost profile of a sampled setup.

Open source software is known for its ability to lower IT costs. But in 2025, affordability is only part of the story. A new Linux Foundation report, The strategic evolution of open source, reveals that open source has evolved from a tactical cost-saving measure to a mission-critical infrastructure supporting enterprise-grade investments, and delivering stronger business outcomes as a result.

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.

We’re excited to announce an important enhancement to Kosli that will improve how environment compliance is managed across your organization. Starting with our next release, all compliance evaluation for Kosli environments will be consolidated through our powerful Environment Policies feature.