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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

From Trough to Traction: 10 Real-World Lessons in Cloud and AI Efficiency

When CloudZero CTO Erik Peterson joined the SourceForge podcast in January 2026, he didn’t just talk about cloud costs. He reframed them as a launchpad for innovation, survival, and competitive advantage. Whether he was describing the “trough of lost innovation,” the “freemium tax,” or why efficiency is the next frontier of engineering culture, Erik’s expert insights go beyond FinOps hygiene.

Stop wasting time on Postgres migrations. #speedscale #postgresql #postgres #database #programming

If you're spinning up a whole container just for one test, you’re doing it wrong. Old way: Full DB container + pg_restore New way: speedscale + proxymock It records actual DB traffic and mocks it "on the wire." Test smarter, not harder.

How Does Website Infrastructure Impact Operational Efficiency in Growing Teams?

Growing teams don't struggle because of big strategic questions first. They stumble on slow dashboards, broken logins, and sites that freeze during peak traffic. Website infrastructure either clears the runway or scatters debris across it. When systems respond fast, teams ship faster, support fewer fires, and argue less about whose tool failed. Poor infrastructure does the opposite. It multiplies tickets, adds delays, and burns morale. The pattern shows up in every scale-up: technology either amplifies discipline or exposes chaos instantly, sometimes in a single intense quarter of growth.

[Webinar] Building Quality-Driven Agentic AI in Noisy Big Data Environments

Watch as Itiel Shwartz, Komodor CTO and Co-Founder as he shares hard-won lessons from developing an AI agent that processes millions of K8s events daily to deliver autonomous troubleshooting that reached 95%+ accuracy in benchmarking. This webinar covers: Building production ready systems that maintain reliability when 90% of your data is noise. How Komodor developed an AI SRE agent that processes millions of K8s events daily to deliver autonomous troubleshooting that reached 95%+ accuracy in benchmarking.

An introduction to GPU time-slicing

GPUs are no longer a niche component. Gamers know them for immersive graphics, workstation users rely on them for balanced performance, and in the age of AI, GPUs have become one of the most in-demand resources in modern infrastructure. They are also expensive. That reality creates two immediate constraints, for individuals and enterprises alike: GPU-backed instances should be provisioned deliberately, and once provisioned, they should be used efficiently.

A cleaner, customizable Bitbucket navigation is here

Last month we shared that a new navigation system is coming to Bitbucket, and we know many of you have been eager to see what it looks like. Today, we’re happy to share that the new navigation is available for to all Bitbucket users. This article covers what’s changing in Bitbucket, when it’s happening, and how you can share feedback with us.

AI Anomaly Detection: Catch AI Cost Surprises Before They Kill Margins

Consider this: traditional cloud cost monitoring was like checking your fuel gauge once a month — after the trip was already over. That model worked when infrastructure scaled slowly. You provisioned resources predictably and paid for stable, linear usage. AI breaks that model. Today, AI costs behave like a high-performance engine with a hypersensitive throttle. A small input, like a prompt change or a single power user, can dramatically increase your fuel burn in seconds.