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

Get Set Up in 5 Minutes or Less: A Fresh, Seamless Onboarding Experience

When you’re up and running with FireHydrant, there’s no better incident management experience out there. We built it that way — fast, intuitive, reliable when it matters most. Now, the first five minutes are just as streamlined and enjoyable as the rest. We rebuilt our onboarding flow from the ground up and cut setup time by over 90% in the process. With the new onboarding experience, you get a guided experience to connect your tools and get the most out of FireHydrant.

Vibe Coding for Production | full video

Vibe coding, even on a large production application, can change how a developer works. In this video, I live vibe code a real shipped feature end to end with (mostly) no edits. I'm pretty new to the practice, but I wanted to share what I've found to work pretty well. If you want to see how vibe coding works on legacy code in the real world, this may be for you. Chapters.

A Detailed Guide on Docker Container Performance Metrics

Docker containers isolate application environments, making performance monitoring essential for visibility and stability — especially at scale. To manage production effectively, teams need clear insights into resource usage, bottlenecks, and failure points. This guide covers key Docker metrics, how to collect them, and how to use that data to keep your containerized systems running smoothly.

Expanding Drift Remediation: Keep Your Code Aligned with Cloud Changes

Managing infrastructure drift doesn't always start with your code. Changes are often made directly to cloud resources—whether through urgent security hotfixes, manual fixes, or automated optimization and security tools. To ensure your Infrastructure as Code stays fully aligned, env0 now suggests a pull request based on those cloud-side changes, allowing you to easily review, merge, and sync your environments. This enhancement expands drift remediation to cover the full lifecycle.

What Makes dotConnect Data Providers So Powerful?

Supercharge your.NET development with dotConnect data providers! Easily access data from multiple sources — including Oracle, MySQL, PostgreSQL, and more — all within your.NET applications. Whether using ORM or raw SQL, dotConnect gives you robust, secure, and efficient connectivity tools with zero hassle. Watch now to see how it works!y Subscribe to our channel and get dozens of tutorials about Devart tools.

AWS Forecasting: A Practical How-To Guide

Running cloud infrastructure without forecasting is a lot like operating a delivery company without checking the weather. You might plan for smooth traffic and sunny skies, only to be hit with a sudden storm, delays, and unexpected costs. The same happens when your cloud usage spikes and your AWS bill catches you off guard. For engineers, CTOs, and CFOs alike, AWS forecasting isn’t just about estimating future costs.

Introducing relaxAI by Civo: The AI Assistant That Puts Your Data First

Learn how relaxAI, our cutting-edge AI assistant, can help you unlock the full potential of artificial intelligence with a focus on data privacy and security. With its advanced LLM models and user-friendly interface, relaxAI is designed to make AI more accessible and powerful for businesses and individuals alike. In this video, Ben Norris, AI Engineer at Civo, will take a closer look at the features and capabilities of relaxAI and show you how it can help you streamline your workflow, improve productivity, and drive innovation.

What AI workloads really need from your network

The rapid advancement of generative AI has brought with it new challenges and complexities - particularly when it comes to networking. As organisations globally rush to leverage large language models (LLMs) to transform their operations, it’s imperative to understand that AI isn’t just about algorithms and data science, it’s also about the network that underpins it all.

Essential Python Monitoring Techniques You Need to Know

Python powers critical applications across countless organizations, from data processing pipelines to web services that handle millions of requests. While Python's readability and extensive ecosystem make it a developer favorite, its performance characteristics require thoughtful monitoring. As systems grow in complexity, understanding what's happening inside your Python applications becomes increasingly important.