Operations | Monitoring | ITSM | DevOps | Cloud

Cloud Asset Management software is a smart move for modern IT teams. It helps you manage your assets from anywhere, scale with your needs, and avoid the hassle of on-premise maintenance. But here’s the catch: picking the right tool isn’t easy. There are a lot of options out there. And every organization has its own goals, budget, and way of working. What works for one team might not work for another.

As systems move to microservices, serverless, and multi-cloud setups, debugging gets harder. You’re no longer dealing with a single log file; you’re looking at logs from dozens of services, running across different environments. Traditional debugging methods like SSH-ing into servers or adding print statements don’t scale in these environments. Cloud log management tools help by collecting logs from all your services into one place.

To read more on the findings from this research, visit The Digital Sovereignty Revolution whitepaper by clicking here. For years, US tech giants have enjoyed near-unquestioned dominance over the global cloud market. However, this dominance is being challenged as trust in Big Tech begins to fracture. According to our latest whitepaper, "The Digital Sovereignty Revolution", the foundation of trust in Big Tech's infrastructure and services is cracking.

Learn how mid-size companies can dramatically cut cloud infrastructure costs using practical strategies like compute rightsizing, serverless, storage tiering, and automated scaling. This guide also explores how Qovery simplifies and automates cost optimization for growing teams - no full DevOps team required.

Today, I’ll be covering how AWS tags can help you keep track of and monitor your AWS billing costs with the granularity and depth needed to reduce and optimize your AWS costs.

LLM-powered agents are reshaping software, but when they fail, troubleshooting is guesswork. Lumigo’s new AI Agent Observability, now in beta, gives you visibility into the entire lifecycle of your agents, from prompt to response to internal decision logic. Built for modern AI workloads, this feature is designed to help engineers monitor, debug, and optimize agents running on platforms like OpenAI, Anthropic, and open-source models.

You’re probably not combing through cloud bills. That’s not your job as CEO. But if no one on your executive team can tell you what it costs to serve a customer, ship a feature, or launch a new product line, that’s a problem. Not a someday problem. A right-now, quietly-draining-your-margins kind of problem. FinOps tends to get lumped in with cost-cutting — some finance thing, some DevOps thing. But that framing misses the point. Done right, FinOps is a growth enabler.

Picture this. Gartner forecasts worldwide end-user spending for public cloud usage to total more than $720 billion in 2025 — up from $595 billion in 2024. Out of that spend, SaaS will make up a chunky $299 billion. For comparison, Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) will make up nearly $212 billion and $209 billion, respectively. Elsewhere, BetterCloud’s State of SaaS 2025 report found that the average organization uses 106 different SaaS tools.