Operations | Monitoring | ITSM | DevOps | Cloud

Most organizations already understand encryption at rest and encryption in transit. These controls are mature, widely deployed, and often explicitly referenced in security frameworks. However, runtime is different: when an application processes sensitive information, that data is typically available in memory.

On July 23, 2026, Microsoft Azure experienced a connectivity outage in the West US region that blocked traffic entering or leaving the region for nearly five hours. Workloads that stayed entirely inside West US were not affected. Microsoft's preliminary Post Incident Review (PIR) attributes the failure to a bug in maintenance request conversion software that removed IP routes from more devices than intended during routine device maintenance.

An average business user must deal with tens, if not hundreds, of passwords daily. Therefore, getting password management right in a business environment may seem like a daunting task. The largest players tend to pick one of the enterprise-grade solutions to ensure security and flexibility, as well as enjoy plenty of extra features that make their processes more efficient. Read on as we walk you through our selection of what we believe is the best password management software out there.

Every so often the ground under enterprise IT moves. It’s moving now. Across industries, organizations are consolidating fragmented infrastructure onto a single, self-hosted platform capable of running both containers and virtual machines side by side. The motivation is simple: simplify operations, lower cost and reallocate resources & budget to AI initiatives. Kubernetes is emerging as the primary platform for many of these workloads.

AI cost management software gives finance and engineering one view of AI spend, ROI, and cost per inference. Here is how to evaluate, choose, and buy the right AI tool in 2026.

Creating an API key used to mean sorting through categories organized around our internal structure, not how you’d use them, so finding everything you needed for a specific job meant guessing, or having someone on our team walk you through it. Now you can tell what each permission actually does at a glance.

Anthropic’s Claude Mythos shows how AI is making vulnerability discovery nearly infinite. Endpoint remediation is where IT teams win or lose. In April 2026, Anthropic introduced Claude Mythos Preview, an AI model that autonomously discovered thousands of previously unknown vulnerabilities across every major operating system and web browser. By late May, the running total had passed 23,000 potential findings, and the vast majority were still unpatched.

Most vulnerability programs were built around a known list of CVEs, scanned periodically and scored by severity. The Anthropic’s Claude Mythos era breaks that model, because the vulnerabilities that matter most are often undisclosed, unscored, and absent from any feed. The organizations that close the gap will be the ones that treat real-time exposure and remediation velocity as the core capability, not the patch backlog.

Most production incidents in Google Cloud don't announce themselves as infrastructure problems. A checkout service on GKE starts timing out, a Cloud Function cold-starts under load, a Cloud SQL replica falls behind, and a Pub/Sub subscription quietly backs up until messages start expiring. None of that shows up as a red node in a compute dashboard. It shows up as slow requests, failed webhooks, and a support queue filling up faster than anyone can triage it.

The tech world has been building up towards the shift to a fully agentic development life cycle for a few years now. AI is changing how software gets built. Across the Puppet ecosystem, we’re seeing a shift toward more agentic engineering workflows. AI helps generate code, shape documentation, and accelerate how Puppet modules evolve.