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

haproxy

Sanitizing HTTP/1: a technical deep dive into HAProxy's HTX abstraction layer

Dec 11, 2025 By Christopher Faulet In HAProxy
HTTP/1.1 is a text-based protocol where the message framing is mixed with its semantics, making it easy to parse incorrectly. The boundaries between messages are very weak because there is no clear delimiter between them. Thus, HTTP/1.1 parsers are especially vulnerable to request smuggling attacks.
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Intro to Jira Plans | Release management

Dec 11, 2025 By Atlassian In Atlassian
Discover how Jira Plans simplifies release management, helping you coordinate complex projects with confidence. In this video, Product Manager Joe Nguyen demonstrates how you can use releases in Jira Plans to track progress, manage timelines, and ensure every release delivers value to your customers. Achieve smoother, more predictable releases that boost business outcomes. Timestamps.
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Komodor

The War Room of AI Agents: Why the Future of AI SRE is Multi-Agent Orchestration

Dec 11, 2025 By Itiel Shwartz In Komodor
We’ve all been there. It’s 2 AM, your phone is buzzing with alerts, and you’re suddenly thrust into an incident war room with a dozen other bleary-eyed engineers. The production environment is on fire, customers are affected, and everyone’s trying to piece together what went wrong. But here’s what makes these moments fascinating from a systems perspective – it’s rarely just one person silently fixing the issue in isolation.
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canonical

How to launch a Deep Learning VM on Google Cloud

Dec 11, 2025 By Hugo Huang In Canonical
Setting up a local Deep Learning environment can be a headache. Between managing CUDA drivers, resolving Python library conflicts, and ensuring you have enough GPU power, you often spend more time configuring than coding. Google Cloud and Canonical work together to solve this with Deep Learning VM Images, which use Ubuntu Accelerator Optimized OS as the base OS. These are pre-configured virtual machines optimized for data science and machine learning tasks.
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Capture and Use Network Response Data in AI Powered Testing

Dec 11, 2025 By Harness In Harness
Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.
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cloudzero

Gamifying FinOps (And CloudZero) For Better Adoption

Dec 11, 2025 By Umesh Rao In CloudZero
In our increasingly online world, managing cloud, AI, and other tech spend has shifted from a good idea to an absolute necessity. But even when cost management is a priority, how do you get busy development teams and engineers actively engaged in the new practices? New initiatives are often viewed as more work on the team’s plate, which is an understandable deterrent to adoption. That leaves FinOps proponents struggling to get others on board.
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speedscale

What I Learned From Building an eBPF-Based Traffic Capture Application

Dec 10, 2025 By Shaun Duncan In Speedscale
I just finished building Speedscale’s eBPF-based component to capture and analyze network traffic in a Kubernetes cluster, and it forced me to confront some uncomfortable truths about observability. While there were certainly some challenges along the way, particularly in dealing with Go applications, the approach was relatively straightforward.
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cloudzero

The Indirect Cost Trap: Why Your Margins Look Better Than They Are (And How To Fix It)

Dec 10, 2025 By Keith MacKenzie In CloudZero
When a SaaS company scales, something curious happens. The cloud bill grows. One team swears it’s Kubernetes. Another blames the Black Friday promo. But when you’re unsure whether that increase is tied to healthy SaaS growth or simply overspending, your margins are already at risk. That gap between what’s spent and what’s understood is where indirect costs live. Yet these costs rarely show up in dashboards. Well, until it’s too late.
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canonical

The rhythm of reliability: inside Canonical's operational cadence

Dec 10, 2025 By Maksim Beliaev In Canonical
In software engineering, we often talk about the “iron triangle” of constraints: time, resources, and features. You can rarely fix all three. At many companies, when scope creeps or resources get tight, the timeline is often the first element of the triangle to slip. At Canonical, we take a different approach. For us, time is the fixed constraint. This isn’t just about strict project management. It is a mechanism of trust.
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