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Introducing Harness Release Orchestration: Enterprise Release Management, Reimagined | Harness Blog

Enterprise releases spanning multiple services, teams, and environments demand more than spreadsheets and manual coordination. Harness Release Orchestration provides a unified framework for modeling, automating, and tracking complex releases with complete visibility from planning through production deployment.

Founder keynote: Human-AI collaboration at scale | Team '26 | Atlassian

It’s time to reimagine teamwork for the AI era. Join Atlassian leaders to hear how human-AI teams collaborating in one system of work will propel your entire organization forward. About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.

Why database ownership is so fragmented in 2026 - and what you can do about it

In today’s cloud-driven, multi-platform environments, answering the simple question - who owns that database? - is no longer straightforward. As teams adopt open-source tools and spin up cloud services on demand, ownership is becoming fragmented across development, operations, and data teams. This shift is accelerating innovation but also creating new challenges in visibility, control, and accountability, as Grant Fritchey explains.

What is sovereign AI, and why does it matter for your business?

With AI reshaping every corner of the modern business, the highest-value workloads are often locked behind complex regulatory frameworks. Yet many organizations are still running them on infrastructure they don't fully control, trusting external platforms to decide where their data lives, where workloads run, and how their AI operates. Civo was built to change that.

Infrastructure for AI Agents: what platform teams need to build now

If an AI agent in your development workflow needed to spin up a test environment tonight, how many manual steps would stand between the request and the environment being ready? By early 2026, AI agents have transitioned from simple code assistants to first-class platform citizens. They are running test suites, analyzing performance, and triggering deployments.

Why I Give My Engineers $5,000 Per Month Of Claude Code Tokens

A few weeks ago, a group of engineering leaders I trade notes with got into it over a question none... A few weeks ago, a group of engineering leaders I trade notes with got into it over a question none of us has a clean answer to: How much should you let an engineer spend on AI? One SVP at a company of similar size and stage is in calibration mode and capping engineers at $200 per month. Hit the cap, you can self-bump by $100. Hit that, you need your manager. I told the thread our number. $5,000.

Creating Successful Migration Workflows with Puppet

I’ve been doing this for over thirty years. Sysadmin, ops lead, global teams, and more data centre migrations than I’d like to admit. Site to site, P2V, V2V, cloud, hybrid, all of it. Every migration gets sold as a clean, well-planned transition. None of them are. They go wrong in very predictable ways. Not because moving infrastructure is especially difficult, but because nobody ever has a clear, current view of what’s actually running, what’s changed, and what still matters.