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

99%+ Accuracy on a Moving Target: Model Deprecation and Reliability with Not Diamond

Shipping systems powered by LLMs would be hard enough if the models stayed the same. But in reality, they don’t. Models get updated and deprecated at a pace traditional software wouldn’t. All while teams are still expected to hit reliability targets that look a lot like traditional SLAs.

How to build AI agents with n8n and relaxAI: Live webinar

You have the ideas, now learn how to turn them into production-ready AI agents. Join us on January 21st at 5:00 PM for a live webinar featuring Ben Norris, AI Engineer at Civo, and Sophia McKee, COO at Civo. We will demonstrate how to design, build, and deploy intelligent agents using n8n’s visual workflow automation platform, all powered by secure, UK-hosted infrastructure from relaxAI. You'll learn how to orchestrate tools, APIs, and LLMs to create scalable automations without needing deep coding expertise.

Calm Under Pressure: Ending the Year Without the Fire Drills

From the outside looking in, I have seen that year end in financial services is not for the faint-hearted. Markets tighten, trading volumes swell, payment systems hit their annual peak, and regulatory reporting deadlines stack up like dominoes. In this environment, even a few seconds of lag can mean missed trades, delayed transactions, frustrated clients, or worse, financial loss and reputational damage. This is precisely when IT needs to be at its calmest.

Theory to Turbulence: Building a Developer-Friendly E2E Testing Framework for Chaos Platform

Chaos fault validation must be safe, predictable, and measurable. High setup friction blocks adoption and slows feedback loops. API-driven execution beats manual YAML workflows. Real-time logs and smart target discovery speed debugging. Dual-phase validation ensures impact and recovery. Strong DX enables faster, scalable chaos testing. As an enterprise chaos engineering platform vendor, validating chaos faults is not optional — it’s foundational.

ShipTalk S4E6 | Beyond the Magic Box: Solving AI Hallucinations with Precision RAG

In this episode of the ShipTalk Podcast, host Dewan Ahmed (Principal Developer Advocate at Harness) sits down with Evgeny Ilinykh (Founder of GuidedMind.ai and former Tesla Engineering Manager) to move past the AI hype and get into the engineering reality of Retrieval-Augmented Generation (RAG). If your AI agents are hallucinating, the problem probably isn't your model—it’s your retrieval layer. Evgeny breaks down how to turn the "black box" of LLMs into a transparent, production-ready system that developers can actually trust.

A Look Back at 2025: Megaport's Biggest Updates

New capabilities, more capacity, global expansions, and plenty of exciting launches – it's been a big year for Megaport. Every year in the cloud world feels like a sprint. New architectures, new workloads, new ways to move data around. But when I look back at everything we delivered at Megaport this year, it’s clear why the pace felt so fast: We shipped a lot of things that genuinely change how people build and operate networks.

Cloud Efficiency Rate: A Clear Way To Measure Cloud Business Value

Cloud and AI spending is exploding, and every dollar counts. As companies race to innovate, they also face growing pressure to prove that their cloud investments are delivering real business value. That’s why CloudZero pioneered the Cloud Efficiency Rate (CER) metric, a unifying metric for quantifying cloud business value.

Simplifying Microsoft Sentinel Integration: VirtualMetric DataStream Connectors in Content Hub

Microsoft Sentinel adoption often introduces unexpected complexity. While the platform delivers powerful SIEM and XDR capabilities, organizations frequently struggle with manual DCR configuration, inconsistent data quality, rising ingestion costs, and security risks associated with credential-based integrations. VirtualMetric DataStream is now available in the Microsoft Sentinel Content Hub, reducing the effort required to deploy normalized and cost-optimized data ingestion.

Building VC-ready AI companies: sustainability as an advantage

This blog post is based on a panel discussion about AI sustainability and investment trends, featuring insights from industry leaders at an AI conference. We utilized AI tools for transcription and to enhance the structure and clarity of the content. The AI investment is increasingly growing. While major tech companies plan to spend over $300 billion on AI infrastructure in 2025, investors are no longer just asking about powerful models or rapid scalability.