Operations | Monitoring | ITSM | DevOps | Cloud

As budgets reset for 2026, engineering leaders are making a resolution: no more vendor lock-in. Here’s how to keep that promise by building on the technical foundations of data reliability and simplified collection. It’s January 2026, and if you’re like most engineering leaders, you’re staring at your observability vendor contracts with a mix of frustration and resignation.

On paper, Gemini pricing looks straightforward. You pay per token. Input tokens cost one amount, output tokens cost another, and different models come with different rates. But once Gemini is wired into a production SaaS product, that simplicity disappears. Fast. That’s because token usage compounds across context, retrieval, and output — not across requests. The same “API call” can cost pennies in one feature and dollars in another.

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.

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.

Harness AutoStopping helps FinOps teams eliminate up to 70% of idle cloud spend through intelligent, policy-driven automation. By automatically stopping and restarting unused resources without disrupting developers, organizations move from reactive cost reporting to continuous, proactive cloud cost optimization.

With all we’ve seen from AI in the last several years, it can be easy to forget that it’s still in its very early days. As torrid as its evolution has been thus far, it will only intensify. As SVP of Engineering at a B2B SaaS company, I’ve had a front-row seat for much of this evolution. Here are three ways I see AI heading in 2026.

Choosing between AWS and OCI is a common decision for organizations moving workloads to the cloud. Both Amazon Web Services and Oracle Cloud Infrastructure offer global infrastructure, robust security, and broad service portfolios. On paper, the platforms can look interchangeable. They are not. AWS and Oracle Cloud differ in pricing, compute models, storage options, networking, and managed services. These differences affect scalability, reliability, and day-to-day operations.