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

Turbo360 for System Integrators: Grow Your Azure Practice

If you deliver Azure integration solutions for clients, this video is for you. Fragmented tooling, unpredictable bills, and support incidents that eat into your consultancy time — these are the problems that limit how fast SI partners can scale. Turbo360 helps you solve all three, and turn each one into a business growth opportunity. In this video, Turbo360 CTO Mike Stephenson (Microsoft MVP) walks through how system integrator partners are using Turbo360 to deliver better outcomes for clients, reduce support overhead, and build managed service revenue alongside their integration practice.

Azure FinOps with AI: What's New in Turbo360 v5.2

Turbo360 v5.2 is the biggest AI update we've shipped. Every module now has AI built in - not just to surface data, but to explain it, guide you through it, and help non-experts take action without needing to call in a specialist. In this video, Mike Stephenson walks through every new feature in v5.2, from AI agents that explain cost drivers and rightsizing recommendations, to a brand new Savings Tracker that gives you a better way to prove FinOps impact to management.

The secret behind Carnegie's fortune and the lesson for the AI era

Point A: 1835. Andrew Carnegie is born in a weaver’s cottage in Dunfermline, Scotland. The cottage has one main room, which the Carnegies share with another family. Point B: 1901. Andrew Carnegie becomes the richest man in the world when Carnegie Steel Company wins the Iron vs. Steel industrialists’ war, and he sells the company to J.P. Morgan for the modern equivalent of $450 billion.

Creating an agentic feedback loop with reliability guardrails

Reliability guardrails help make sure that your applications stay reliable without slowing down. In an earlier blog, we went into why agentic AI development needs reliability guardrails. It went over how the increased speed of AI development demands automated guardrails to verify resilience and what kinds of tests these guardrails should cover. But that’s only the beginning. By themselves, guardrails act as a gate to ensure resilience mechanisms hold under rapid changes.

Replacing Your Legacy Monitoring Platform? Start with a Plan.

Whether you're using SolarWinds, PRTG, Datadog, or another long-standing monitoring solution, chances are your environment has evolved significantly since the platform was first deployed. New applications have been added. Infrastructure has expanded into cloud environments. Teams have developed custom dashboards, reports, alerts, and workflows. Over time, monitoring becomes deeply woven into daily operations. That's why many organizations continue using tools that no longer meet their needs.

CloudZero Dimension Studio: A drag-and-drop UI at the foundation of AI ROI

The core of ROI is visibility. If you can clearly see … 1. What it costs to produce the thing you make, and 2. How much money it makes you … then calculating ROI is easy. But with AI, as with the cloud before it, getting that visibility is extremely challenging. Why? Because the cost data associated with each is inherently chaotic.

Why you should use Language Server Protocol (LSP) with Claude Code

Agentic coding tools like Claude Code can write, refactor, and debug across an entire codebase, but by default they read code as plain text, the way grep does. The Language Server Protocol (LSP) changes that: it’s the same code-intelligence layer an IDE uses, and wiring it into an agent lets it read code by meaning instead of by string match. The bigger the codebase, the more a wrong guess about a symbol costs, and the more that structural view pays off.