Code Ownership in the Age of AI: Who's Responsible When Things Break?
AI wrote the code, but when something breaks, that's still on you. Code ownership matters more than ever.
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ITSM Knowledge Management: How to Build a Knowledge Base Your Team Will Actually Use
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.
10 Best Endpoint Management Software Tools in 2026
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.
Save the Address, Save the Cloud: A Hands-on KubeVirt Live Migration Workshop
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.
Shipped: Your CloudZero, your personalization rules
Personal Settings let you make CloudZero look and run the way you do.
How to Migrate Terraform State Between Backends
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.
AT&T Email-to-Text Replacement: Best Alternatives for Critical Alerts
AT&T is permanently shutting down its email-to-text and text-to-email gateway, which means alerts sent to @txt.att.net or @mms.att.net no longer reach phones. For IT teams, MSPs, facilities teams, building management, utilities and incident response teams in general, this creates a serious gap. Critical alerts from monitoring tools, ITSM platforms, building systems, IoT devices, and other operational systems still need to reach the right person quickly, especially after hours.
Application monitoring tools in 2026: APM, observability, and AI monitoring compared
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.
AI Detection in Your Content Pipeline: How to Reason About Detector Accuracy Before You Build a Gate Around It
Every ops team eventually inherits a check that nobody can fully explain. It runs on every release, it blocks the pipeline when it fires, and when you ask why the threshold is set where it is, the answer is some version of "it was like that when I got here." AI text detection is becoming that check for content operations. Teams are wiring detectors into publishing workflows, documentation pipelines, and vendor review steps, treating a probability score as a pass or fail gate. Then a genuinely human-written runbook gets flagged, a release stalls, and someone has to decide whether to trust the tool or override it.
The Future of Governing AI Agents in Enterprise Order Processing
Governing AI agents are rapidly reshaping how enterprises manage complex, high-volume order workflows, from automated validation to exception resolution and fulfillment routing. As AI models become more reliable and context-aware, organizations are shifting from human-heavy processes to autonomous systems that can handle end-to-end order lifecycle management with minimal manual intervention.