Field of Dreams DevOps doesn't scale
Having trouble scaling reliability? Gremlin CEO Kolton Andrus talks about just building a great tool isn’t enough.
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Sovereignty over silence: Why Microsoft's data opacity is the real lock-in
The refusal by Microsoft to detail data flows to Police Scotland confirms the real price of hyperscale: control is an illusion. This incident isn't the problem. It’s the proof. It proves the need for a new standard in cloud computing, one that prioritizes true digital sovereignty and architectural transparency. Sovereignty, after all, is all about the customer being able to exercise control over the IT resources they use.
Setting Up the GitKraken MCP Server with GitLens
GitKraken MCP (Model Context Protocol) brings repository intelligence directly into VS Code, Cursor, Windsurf, and other AI-powered IDEs so your agent stops guessing and starts understanding your actual workflow. Instead of manually explaining your branch structure or digging through issues in your browser, MCP connects your AI agent to the actual state of your repositories. It understands your branches, your issue tracker, your pull requests, and your commit history—then helps you start work, resolve conflicts, and review code without leaving your editor.
Redgate Test Data Manager Product Updates - November 2025
Redgate Test Data Manager’s November’s release brings advanced table configuration for large databases and the ability to save connection strings. Two features that make setting up subsets and managing database connections smoother, easier, and faster.
Sidecar or Agent for OpenTelemetry: How to Decide
Getting telemetry out of a distributed system isn’t the hard part. Getting it out cleanly, without noise, drop-offs, or odd performance side-effects — that’s where things get interesting. Before you worry about processors or storage costs, you need a clear plan for where the OTel Collector should run. Most teams narrow this down to two options: a sidecar that sits next to each service, or a node-level agent that handles data for everything running on the node. Both patterns are solid.
Jira Service Management (JSM) Review for Alerting (2025)
Atlassian is shutting down OpsGenie. New sales stopped on June 4, 2025, and the platform will be completely offline by April 5, 2027. As an OpsGenie user, you now face a critical decision: Migrate to Jira Service Management (JSM), Atlassian’s recommended path, or choose a different solution. And if you’re not sure JSM is the right fit for your team’s alerting needs, this review will help you decide. I signed up for JSM and put it through real-world testing.
Turbo360 4.10: Anomaly Detection, Tag Manager & Smarter Azure Cost Optimization
Turbo360 just dropped a powerful new suite of updates designed to help you master Azure cost management, resource automation, and reporting. Explore the highlights and learn how these enhancements simplify daily operations for cloud teams.
Azure Cost Optimization: Best Practices for Cloud Solution Providers
In this episode, we explore practical Azure cost management strategies tailored for Cloud Solution Providers (CSPs). The conversation dives into cost visibility, optimization techniques, and billing transparency, helping CSPs improve margins and deliver more value to their customers. Featuring experts from West Coast, a leading CSP, including James Reed (Azure Sales Manager) and Mitchell G. (Azure Sales Specialist), along with Mike Stevenson, the discussion highlights real-world insights from the partner ecosystem.
CEO Diaries: Not All AI Talent Is Alike
If Meta’s (now halted) nine-figure AI talent poaching scheme was any indication, the AI talent market is pretty frothy. The number of AI-related job postings has roughly tripled since 2019, and the average salary has more than doubled (Bain). The race is on for companies to find the fastest, most sustainable routes to AI-driven business value; all companies, but especially software companies, are hotly pursuing racers. But despite what Zuckerberg & Co.
Open Source Cloud Orchestration Tools Compared
Before 2011, cloud infrastructure was still new. AWS had launched EC2 and S3 in 2006. But to deploy applications, engineers had to manually spin up servers, configure storage, and set up networking — all by hand or with custom scripts. There were early configuration management tools, such as Chef and Puppet, but those didn’t offer full cloud orchestration. Then in 2011, AWS launched AWS CloudFormation as the first major orchestration tool.