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

Global Online Meetup: K3k

Even though multi-tenancy isn't a new concept, when it comes to Kubernetes, implementing the concept can come with its own set of challenges - noisy neighbours, operational complexities, and, of course, security considerations. Sounds like a lot? Well, that's why it's essential to strike a balance between flexibility and optimising resource utilisation. Join Divya Mohan at 2 PM UTC on 25th September as she hosts Rossella Sblendido and Jean-Phillipe Gouin to explore how the K3k project from SUSE helps us achieve all this and more in this edition of the Global Online Meetup.

Why Security Must Include Cost Accountability In The Cloud

A SaaS team once spotted their first breach not in a SIEM dashboard, but in their AWS bill. Their compute costs spiked by 400% overnight. Turns out, an attacker had spun up dozens of high-powered instances for crypto mining. Logs eventually confirmed the intrusion, but the cost anomaly was the first signal that something was wrong. This incident isn’t unusual. Cloud costs often reflect consumption, but they can also reflect compromise.

Monitor Kubernetes Hosts with OpenTelemetry

It’s 3 AM. API latency just spiked from 200ms to 2s. Alerts are firing, and users are frustrated. You SSH into the first server: top, free -h, iostat — nothing unusual. On to the next host. And the next. That’s how most of us learned to debug. The tools worked, and we got good at using them. But as infrastructure became distributed and dynamic, this approach started to break down. Modern monitoring needs more than SSH and top. It needs unified telemetry.

Densify Talks, CNCF, OpenAPI, and Kubernetes with Dan Ciruli from Nutanix

<span data-mce-type="bookmark" style="display: inline-block; width: 0px; overflow: hidden; line-height: 0;" class="mce_SELRES_start"></span> Andrew Hillier sits down with Dan Ciruli, who leads the cloud native product management team at Nutanix.

14: CNCF, OpenAPI, and Kubernetes with Dan Ciruli from Nutanix

Andrew Hillier sits down with Dan Ciruli, who leads the cloud native product management team at Nutanix. Dan’s got some great stories from his days at Google—back when cloud native and Kubernetes were just getting started, in addition to the knowledge and wisdom he picked up along the way.

SQL NTILE Function Explained with Practical Examples

NTILE in SQL transforms raw lists into structured distributions before they reach a dashboard. By pushing distribution logic upstream, it divides ordered rows at the query level, so the insights in Power BI, Tableau, or Excel are accurate, not just polished visuals. This guide explores its syntax, practical examples, and comparisons with other ranking functions. It also highlights how database IDEs bring NTILE insights directly into analysis and reporting workflows. Table of contents.

Visualize Jenkins CI/CD Pipelines: Introducing the New Jenkins Data Source Plugin in Grafana 12.2

Grafana 12.2 introduces the new Jenkins data source plugin, giving you real-time insights into your Jenkins CI/CD pipelines. With easy setup, you can connect your Jenkins instance and explore two built-in dashboards: See how Jenkins data becomes instantly actionable inside Grafana.

Build a versatile query agent with RAG, LlamaIndex, and Google Gemini

As a developer, you often face the challenge of retrieving information from multiple sources with different structures. What if you could create a single interface that automatically routes queries to the right data source? Imagine your application needing to answer both “What’s the population of California?” and “What are popular attractions in Hawaii?”.

Learn to mock your MySQL database and get realistic test data without the hassle of a live server!

Proxymock allows you to record real interactions between your application and a MySQL database. Use proxymock to simulate your database during local development and testing. Get real data without running a live MySQL server. Modify mock responses to fit your testing needs. Simplify your testing workflow and replicate production data easily.