Operations | Monitoring | ITSM | DevOps | Cloud

Modern data centers rely on a growing number of specialized tools—CMDBs, ITSM platforms, network and server management systems, virtualization platforms, and more. Each solves a specific operational problem, but when these systems operate in isolation, teams face inconsistent data, manual updates, and slower decision-making. Integrating Data Center Infrastructure Management (DCIM) software with your existing tools solves these challenges by consolidating information into a single pane of glass.

What do 475 senior leaders across software, financial services, cybersecurity, and other industries all have in common? They have little to no idea whether their AI investments are paying off. CloudZero just released FinOps in the AI Era: A Critical Recalibration, a report assessing the state of cloud and AI spending. Culled from hundreds of responses from people directly accountable for cloud spending, the report shows that while FinOps maturity is accelerating, cloud efficiency is plummeting.

Whoever thought we’d see the day when cloud cost management (CCM) seemed easy? CloudZero just released FinOps In The AI Era: A Critical Recalibration, an annual report on the state of cloud and AI costs. The report surfaced what looks like a paradox: FinOps maturity is accelerating, but organizational cloud efficiency is plummeting. 72% of organizations now have formal cloud cost management (CCM) programs. That’s nearly double what we saw in our last survey (39%).

Q: What do you call it when FinOps maturity surges but cloud efficiency plummets? A: An AI-nigma. I don’t claim to be a comedian. But I do claim to be Fred FinOps, so the paradoxical findings from CloudZero’s new report titled FinOps in the AI Era: A Critical Recalibration, created in partnership with B2B SaaS benchmarking firm Benchmarkit, had me scratching my head. The good news: These numbers tell a story of cloud cost maturity and control. But then there’s the bad news.

According to our new report, FinOps in the AI Era: A Critical Recalibration, 40% of companies now spend $10M or more annually on AI. Most can’t tell you if it’s working. That’s not a budgeting problem. It’s a systems problem. And Donella Meadows wrote the playbook for understanding it.

I've been in this industry since before the word "PaaS" existed. I founded Cloud 66 in 2012 — the same year Heroku was peaking, dotCloud was pivoting to become Docker, and the idea of "just git push and forget about servers" felt like the future. It was the future. Partly. The deployment experience was revolutionary. The business model wasn't. Last week, Heroku announced its transition to "sustaining mode" — no new features, no new enterprise contracts.

Last week, Heroku announced it is transitioning to a "sustaining engineering model." In plain English: no new features, no new enterprise contracts for new customers, and Salesforce is redirecting its investment elsewhere. The platform will be maintained for security and stability, but that's it. If you've been in this industry long enough, you know what "sustaining mode" means.

We've all heard from an engineering leader about the exact moment they realized their architecture had gotten too complex. It usually happens when they look at a service map and realize it looks like a box of tangled Christmas lights. This cognitive overload is exactly what Steve Evans, the former SVP of engineering at Chegg, reflected on in a recent post on LinkedIn. He argued that microservices were a trillion dollar mistake because we often over-build for future problems that never actually arrive.

Incident alerting is a critical part of modern operations, yet it’s often misunderstood or reduced to “sending notifications.” In reality, it is about ensuring that the right people are informed at the right time – and that incidents move from detection to action without confusion or delay. This page explains why fast, reliable alerting matters, where it fits between monitoring and incident response, and what best practices look like.

In this blog post, we’ll explain what alert management software does, where it’s used, and which features you should look for when choosing the right solution.