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

Investigating TCP timeouts at scale

At Mattermost, we’re on a quest to scale our application by one order of magnitude, from tens of thousands to hundreds of thousands of concurrently active users per installation. Scaling up is a complex effort involving expertise at several different levels. At its core, it’s a game of catching the next bottleneck — whether it’s application CPU usage, memory consumption, database throughput, networking, or any combination of the above (among other causes as well).

Logic App Workspaces: A Comprehensive Overview

In this episode of Azure on Air podcast, Lex interviews Bill Chestnut, a seasoned MVP. Logic Apps Workspaces is a new feature in Azure that allows users to create and manage both Logic Apps and Functions in the same workspace, making it easier to share code and resources between the two. Bill discusses the challenges of writing code in Logic Apps and how Logic Apps Workspaces addresses these issues. He also shares his experiences with deploying Logic Apps and Functions using bicep scripts and Azure DevOps.

Understand how the Cyber Resilience Act will impact device manufacturers

The Cyber Resilience Act (CRA) is a European Union legislation that will enter into force in 2027. Its overall goal is to make devices safer by implementing more rigorous cybersecurity, documentation, and vulnerability reporting requirements for the IT industry. The CRA is especially relevant for device manufacturers, who will need to ensure devices are secure throughout the product lifecycle.

Autoscaling in Cloud Computing

Autoscaling in cloud computing is the ability of a system to adjust its resources in response to changes in demand automatically. This guarantees that applications always have the resources they need to perform optimally, even during periods of high traffic. Autoscaling eliminates manual intervention, allowing your dev team time to focus on your product. All major cloud providers like AWS, Azure, and Google Cloud Platform offer robust autoscaling solutions with many features and capabilities.

Why Scaling Your DevOps Capabilities is Crucial for Business Growth

In the race to outpace competitors and capture market share, businesses are discovering that scaling DevOps capabilities is no longer optional-it's a critical driver of growth. Imagine rapidly delivering innovative features, responding to customer demands in real-time, and maintaining rock-solid reliability, all while outpacing your competition. This is the power of a well-scaled DevOps strategy.

Mastering Local Preview Environments: A Beginner's Guide

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

Top 25+ AWS Cost Optimization Tools And Best Practices

While AWS offers significant benefits compared to traditional on-premise infrastructure, its inherent elasticity and scalability tend to create uncontrolled costs. AWS costs can be opaque and difficult to analyze, and without a system for identifying the source of costs and managing them, they can quickly undermine profit margins. However, several tools have emerged to help organizations manage and optimize their costs over the past few years.

Ubuntu Community | 20 years of Ubuntu

A lot has changed in the past two decades. A lot of new releases, new platforms and even a few new logos along the way. One thing stayed the same: the heart of Ubuntu. A global community of users, enthusiasts and contributors all helping to spread the mission of changing the world through open-source software. We couldn't have done it without you.

High-Performance AI Unleashed

The AI revolution is transforming enterprises faster than you can say, “sudo apt-get install skynet.” According to McKinsey, 65% of organizations now regularly use generative AI, nearly doubling from last year. However, as developers rush to integrate AI into their products, the shift from AI proof-of-concept to production can feel like trying to assemble flat-box furniture in a hurricane.