Operations | Monitoring | ITSM | DevOps | Cloud

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.

FinOps Savings Optimization: Stop Overspending, Start Saving | Harness Blog

Traditional FinOps focuses on cutting overspend, but the real opportunity lies in maximizing savings you're missing. This paradigm shift reframes cloud cost management as a proactive savings optimization strategy rather than reactive spend control, helping organizations unlock hidden cost efficiency through governance, automation, and continuous optimization practices. Cloud spend is up 40% year-over-year. Your CFO wants answers.

Introducing the redesigned deployments experience

You shouldn’t have to hunt through a cluttered dashboard to understand where your code is deployed. The Deployments page is where teams turn for a quick answer: what is in test, what is in staging, what reached production, and what needs attention right now. The older page made that harder than it needed to be. Our new Pipelines Deployments page makes it easier to scan, filter, and act on.

AI agent cost: what agents really cost to run

AI agent cost in 2026 is mostly a consumption bill, not a subscription. Running an agent costs anywhere from fractions of a cent for a simple routed task to $5 or more for a complex multi-step job, because one request can trigger 3 to 10 model calls behind the scenes. Average production deployments land between $3,200 and $13,000 per month in operational spend. Here is where that money actually goes.