Operations | Monitoring | ITSM | DevOps | Cloud

Every AI Agent You Add Leaves Something Behind to Clean Up

Adding a second AI agent to a project feels like doubling your output. In practice, it usually means doubling your bookkeeping too. Every agent needs its own worktree so it can work without touching the branch someone else, human or otherwise, is using. Multiply that by five agents across three repos, and the isolation that made parallel work possible starts generating its own kind of work: which worktree goes with which branch, which ones are stale, which upstream nobody remembers creating.

Stop Chasing Field Technicians - Track Work Progress with One-Tap Status Updates

Field service managers need visibility into more than just whether a technician has arrived. They need to know when work begins, when it’s completed, and when the technician is heading to the next job. Without a simple, consistent way to communicate these milestones, dispatchers and supervisors are left making phone calls and sending text messages just to find out what’s happening. Most of the time, nothing is wrong.

How to Manage AI Infrastructure in Your Traditional Enterprise Data Center

Managing AI infrastructure in a traditional enterprise data center comes down to validating that sufficient capacity exists before hardware arrives, then maintaining accurate infrastructure data to support planning, deployment, troubleshooting, and ongoing operations. This is because AI has changed what enterprise data centers were built to handle.

Peer Review: CircleCI's CEO & CTO on Why They're Both Building Again

Jim Rose and Rob Zuber have been working together since 2011. By now they can plan a quarter with hand signals. But this episode of Peer Review isn't about how well they know each other. It's about what they're still figuring out. CircleCI's CEO and CTO sit down to talk about what they've always believed about software delivery (it's about outcomes, not craft), how the pace of change has forced them back into the trenches of actually building, and what it means to lead a technical organization when the state of the art is shifting faster than any pitch deck can keep up with.

Peer Review: CircleCI's CRO & CLO on the Skill of Learning Fast

Seven years of institutional knowledge meets a fresh outside perspective in this episode of Peer Review. June Ko is CircleCI's Chief Legal Officer. Judson Griffin is the Chief Revenue Officer. They cover what tenure without complacency actually looks like, why boomerang hires keep happening across every region and role, and what it means to be in the middle of a market moment most people won't recognize until it's already passed. Judson's advice: get in front of the rocket and hold on. June's take: being uncomfortable is the new normal, so you might as well get good at it.

Peer Review: CircleCI's CFO & CMO on What Comes After AI Code Generation

Last year was the year of AI code generation. This year is everything that comes after: validation, quality, and making sure what gets built actually ships. Nobody's better positioned to talk about that than CircleCI, and in this episode of Peer Review, CFO Blake Buisson and CMO Chitra Balasubramanian dig into what that moment means for the company and the people building it.

Upsun recognized for third consecutive year in the Gartner Magic Quadrant for Cloud-Native Application Platforms

Upsun acknowledged for its Ability to Execute and Completeness of Vision. Upsun is proud to be recognized for a third year in the 2026 Gartner Magic Quadrant for Cloud-Native Application Platforms alongside other evaluated CNAP platforms. Upsun empowers development teams to ship better software, faster, not just by simplifying infrastructure management, but by rethinking how the entire software development lifecycle works in an era of AI-powered development.

Instrument serverless apps with agentic onboarding

Serverless platforms like AWS Lambda, Google Cloud Run, and Azure Container Apps let teams run applications without managing infrastructure. However, getting full visibility into those workloads has traditionally required a lot of manual setup. A single team may deploy serverless applications across multiple clouds by using tools such as Terraform, AWS SAM, AWS CDK, and the Serverless Framework. Each of these platforms, runtimes, and deployment tools requires its own instrumentation steps.