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

Decoding cloud credits: Are "free" credits locking you in?

Are "free" cloud credits holding your business back? Join us for an online webinar as we explore the hidden risks associated with cloud credits and the impact they have on businesses. Our speakers, Simon Hansford, Chief Commercial Officer at Civo, and James Marks, Founder of Canopy, will share their knowledge and experience on this critical topic. This webinar is based on our recent whitepaper, which examines the "cloud credit trap" and its far-reaching implications for organizations.

Why we brought hardware-optimized GenAI inference to Ubuntu

On October 23rd, we announced the beta availability of silicon-optimized AI models in Ubuntu. Developers can locally install DeepSeek R1 and Qwen 2.5 VL with a single command, benefiting from maximized hardware performance and automated dependency management. Application developers can access the local API of a quantized generative AI (GenAI) model with runtime optimizations for efficient performance on their CPU, GPU, or NPU.

Android COSU: Unlocking Efficiency for Business Device Management

Struggling to lock down your Android fleet? This video breaks down Android COSU (Corporate-Owned, Single-Use) mode! Learn what COSU is, why industries like retail, healthcare, and logistics use dedicated devices (kiosks, tracking terminals, etc.), and how Kiosk Mode makes it all happen. We dive into the key features powered by UEM/MDM solutions—from App Management and Device Restrictions to essential Security Features. If you need to manage a fleet of single-purpose Android devices reliably, this overview is for you!

FinOps for Hybrid IT: Extending Visibility Beyond the Cloud

Controlling IT spend used to mean managing cloud invoices. Today, it’s far more complex. Modern enterprises run workloads across multiple platforms — cloud, virtualized, and on-premises — each with its own cost structures and dependencies. That’s why FinOps for hybrid IT has become essential. Extending FinOps principles beyond cloud services enables organizations to see how every part of the infrastructure contributes to cost, efficiency, and business value.

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.

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.

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.

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.