Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Extending the Application Edge with F5 BIG-IP VE and Megaport Virtual Edge

Learn how F5 BIG-IP VE simplifies multicloud application delivery, security, and traffic management with MVE. As enterprise applications continue spreading across multiple clouds, the application edge is changing. A few years ago, application delivery was usually tied to a physical appliance sitting in a data center; today, applications are everywhere.

DevOps with Kubernetes: How to Reduce Cluster Toil and Complexity

Has Kubernetes made your DevOps team faster, or just busier? Most teams adopt it for speed and portability, and they get both. What arrives with it is a quieter cost: the operational weight of running the cluster day to day. That weight shows up in the manual work the platform was supposed to eliminate. A resource limit set incorrectly can waste infrastructure for months.

Trace without traces

A customer emailed on a Tuesday: checkout hung for ten seconds. I opened our tracing tool, punched in the time window, and got nothing. The trace was sampled out. We keep 1% of traces, like most shops with real traffic do. The one request that actually mattered was in the 99% we threw away. I spent twenty minutes admiring our observability stack before admitting it couldn’t answer a first-grader’s question: what happened to this person? Here’s what I know now.

The golden path: security that works because it's the easy path

A golden path for dependency management isn't a policy document – it's a preconfigured private registry with upstream proxies covering every ecosystem your teams use, set as the default. Developers don't opt into security; they get it automatically by using the standard toolchain. The alternative is teams configuring their own controls, producing inconsistent postures and compounding risk across the org. If the secure path requires extra steps, developers will route around it. Make it the easiest option and the policy enforces itself.

Walkthrough: Puppet System Hardening Assessment

Is your infrastructure as secure as you think it is? In this walkthrough, see how aSystem Hardening Assessmenthelps organizations identify security gaps, uncover configuration risks, and prioritize remediation efforts across critical systems. You'll learn how teams can evaluate their environment against security best practices, gain visibility into potential vulnerabilities, and take actionable steps to strengthen their overall security posture.

ACP vs MCP: What's the difference for agentic coding?

An AI coding agent holds many conversations at once. Not only is the user prompting it, the agent also talks to the IDE, showing diffs and asking before it touches a file. At the same time it talks to tools, pulling a failing build or querying a database. Two open protocols standardize those conversations. This guide compares ACP vs MCP in practical terms: what each protocol does and when each applies. ACP (Agent Client Protocol) connects a code editor to an AI coding agent.

To learn and improve, we cannot be afraid to fail

“Deployment stress doesn’t just come from high-profile public outages. It often starts much earlier, when a fear of failure seeps into team culture.” Rob Richardson, Software Craftsman Rob certainly knows the stress and embarrassment of public deployment failures. "But overall" he reflects, "I’ve had more stress in my career from internal failures.

Cloud repatriation strategies: From public dependency to hybrid flexibility

The phrase "cloud first" dominated IT strategy for the better part of a decade. It was gospel, practically unchallengeable, and for a lot of organizations, it was the right call. But something shifted between 2024 and 2026, and it shifted fast. Bills stopped being defensible. Vendor pricing imploded. Sovereignty stopped being a compliance checkbox and became a procurement requirement.

OpenAI API cost calculator: estimate your GPT spend before it estimates you

This OpenAI API cost calculator (also an AI inference calculator for o3/o4-mini thinking tokens) estimates your monthly OpenAI API pricing bill from three inputs: model, request volume, and average tokens per request. Toggle between standard, batch, and cached pricing and get your number in seconds. It also shows what the same workload costs on Claude and Gemini. For the full per-model rate card, see CloudZero's OpenAI API pricing guide.