Operations | Monitoring | ITSM | DevOps | Cloud

Modern infrastructure teams are expected to deliver cloud-like speed, consistency, and reliability, even when their workloads run on physical servers. Bare metal remains essential for many environments: private clouds, Kubernetes clusters, AI infrastructure, edge sites, regulated platforms, and large Ubuntu estates. But operating physical infrastructure at scale is difficult when provisioning, patching, monitoring, and lifecycle management are handled by disconnected tools and manual processes.

This is a follow-up to Sergiy’s post Errors, traces, logs, metrics: when to reach for what. Modern observability platforms, like Sentry, give developers a lot of choice. For a given problem, should you use traces, profiles, metrics, logs? If you take away one thing from this post, I hope it’s this: when in doubt, start by adding a few targeted log lines.

How many times should your service desk solve the same problem before it becomes shared knowledge? A senior agent on a 14-person service desk we worked with last quarter had answered the same question four times in two days for four different employees. The solution was already documented but buried in a wiki nobody could find. That is exactly the gap ITSM knowledge management is designed to close.

What makes one endpoint management tool better than another? Not the feature list. Almost every tool claims patching, asset tracking, and automation. What matters is whether it holds up across a few hundred machines, and how much time it hands back to your team. For most IT teams, a good tool needs to: We looked at 10 of the best endpoint management software tools for 2026. We read through G2 and Gartner Peer Insights ratings, checked vendor pricing pages, and went through user reviews.

In the previous post in this series, we covered why Virtual Machine (VM) Live Migration in Kubernetes is difficult: a VM’s IP is its identity, and the “new” VM on the destination node has to come up with the same IP, this something that Kubernetes is not known for, and on top of that, traffic has to switch over only after network security policies are in place.

Personal Settings let you make CloudZero look and run the way you do.

Terraform state doesn't stay put forever. Teams outgrow local state files, consolidate multiple backends into one, switch cloud providers, or decide it's time to move off a platform that's no longer working for them - HCP Terraform's free tier ending and its resource-based pricing is a common trigger these days. Whatever the reason, the state file itself is the part everyone's afraid to touch, because it's the only record of what Terraform thinks your infrastructure actually is.

Application monitoring tools track your application's health, speed, errors, and resource usage in real time. Also called APM tools or application performance monitoring software, these tools are essential for any team running production workloads. The leading options in 2026 are Datadog, New Relic, Dynatrace, Grafana, and Elastic APM for traditional workloads, plus Arize AI, LangSmith, and Weights & Biases for AI observability.