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

Azure Cost Optimization: Best Practices for Cloud Solution Providers

Oct 29, 2025 By Turbo360 In Turbo360
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.
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spike

Jira Service Management (JSM) Review for Alerting (2025)

Oct 29, 2025 By Sreekar In Spike
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.
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last9

Sidecar or Agent for OpenTelemetry: How to Decide

Oct 29, 2025 By Anjali Udasi In Last9
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.
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Setting Up the GitKraken MCP Server with GitLens

Oct 29, 2025 By GitKraken In GitKraken
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.
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civo

Sovereignty over silence: Why Microsoft's data opacity is the real lock-in

Oct 29, 2025 By Emma Kinsey-Coates In Civo
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.
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spike

SLA, SLO, and SLI: Understanding the Foundations of Service Reliability

Oct 28, 2025 By samyatimohanty In Spike
Last week, I ordered a pizza on a food delivery app. And they promised the delivery in 30 minutes. Similarly, all digital services: Apps, websites, cloud platforms, etc, make promises about speed, uptime, and reliability. The difference is how they track and measure those promises. That’s where SLA, SLO, and SLI come in. These three metrics define what “reliable” actually means. They turn a vague claim like “99.9% uptime” into something you can measure, track, and act on.
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harness

Monitoring Chaos Experiments with New Relic Probe in Harness

Oct 28, 2025 By Ashutosh Bhadauriya In Harness
New Relic probes in Harness Chaos Engineering let you automatically validate system performance against defined SLOs during chaos experiments, transforming subjective testing into objective, metrics-driven resilience validation. By querying New Relic metrics in real-time and comparing results against your success criteria, you can programmatically verify that your systems maintain acceptable performance levels even under failure conditions.
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