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

How engineers can improve creativity ft. Corey Latislaw of Trainline

Engineering leadership isn't just about technical execution—it's about unlocking the creative potential that drives individual and team success. CircleCI CTO Rob Zuber sits down with Corey Latislaw, Head of Engineering at Trainline and executive coaching expert, to explore how creativity transforms both careers and team dynamics.

How Experiment Analysis uncovers the cause behind failures

Chaos Engineering has proven itself to be incredibly effective at tracking down failure modes, remediating reliability issues, and preventing risks before they happen. Unfortunately, it can also come with a steep adoption curve. In order to get the most out of Fault Injection testing, a practitioner needs to have a deep knowledge of the service, its expected behavior, and the code behind it. Ultimately, the rewards are worth the time.

RKE2: Enterprise Kubernetes Made Simple & Secure!

Still wasting weeks on complex configs? Meet your new secret weapon — RKE2! Prasun Das from @Infosys reveals how you can go from zero to a hardened Kubernetes cluster in minutes: Upstream Kubernetes, ready for production One-step CIS hardening — no 200-page manuals! Copy. Start. Done. That easy. Why work harder when you can work smarter? Get speed, security & enterprise power without the grind.

Cortex MCP set up

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.

Amazon SageMaker Pricing Guide: 2025 Costs (And Savings)

Amazon SageMaker makes it easy to prepare data for machine learning (ML) and then train, deploy, and modify ML models. SageMaker is a fully managed service that automates much of the ML lifecycle. So, if you want a single partner to help you through all stages of your Artificial Intelligence (AI) lifecycle, SageMaker might be the answer. Perhaps more important for this post is the promise that Amazon SageMaker can reduce your machine learning model costs. But does SageMaker pricing reflect this?

QA Testing in 2025: Revolutionize Your Workflow with Preview Environments

Software quality assurance has changed dramatically over the past few years. Today, the velocity of software development demands more than traditional staging and shared QA environments. Releases are expected to be faster, integration cycles shorter, and quality standards higher. These pressures have inspired a growing interest in preview environments—ephemeral, production-like spaces spun up on demand for testing code changes in isolation.

Platform Team Toolkit demo

Platform teams face an impossible choice: rigid standardization that slows developers down, or operational chaos that creates security gaps. CircleCI's new Platform Team Toolkit eliminates this tradeoff by delivering self-service developer experiences with built-in governance. What You'll See in This Demo: Key Benefits: Perfect for platform engineers, DevOps teams, and engineering leaders who need to scale software delivery without sacrificing speed or safety.

LTS vs. upgrades: which future are you building for?

How should businesses decide between sticking to an LTS release or moving to a continuous upgrade model? In this episode, we explore the trade-offs, from stability and security to innovation and agility, and why flexibility in your upgrade policy is key to long-term success. We break down when LTS makes sense, when frequent upgrades deliver the most value, and how to balance both to keep your business secure, stable, and ready for what’s next.

Fiber Paths and Failsafes: Why Your Network Design Matters

Redundancy isn’t just a buzzword – it’s the design principle keeping modern AI and cloud applications online. In this Uplink episode, Kevin Schlosser, Interconnection Product Manager at NTT Global Data Centers, explains how resilient infrastructure is engineered to expect failure but remain operational. We explore: Diverse entry points and fiber path management AI-driven bandwidth growth: 100G standard, 400G emerging Cooling innovations for intense compute workloads Why providers without their own fiber may offer the most resilient paths.