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

Our Engineering in the Age of AI: 2026 Benchmark Report finds AI is making engineering faster, but not necessarily better

Everyone's talking about how AI is transforming software development. Teams are shipping more code, deploying more frequently, and getting features to market faster than they could a year ago. The productivity gains are real. But we kept hearing a different story from engineering leaders. Yes, velocity is up. But incidents are climbing, resolution times are getting longer, and code review processes are struggling to keep up.

Top DevOps Challenges in 2025 and How APM Solves Them

In 2025, DevOps continues to grow and change quickly, helping teams deliver software faster and more securely. But as systems become more complex with microservices, cloud platforms, and AI-driven tools, new challenges arise. Teams now need to balance speed with security, manage too many tools, control rising cloud costs, and still maintain high-quality software. This is where Application Performance Monitoring (APM) becomes essential.

The Hidden Bottlenecks in AI Infrastructure (and How to Fix Them)

Artificial intelligence has entered an era where infrastructure is the real moat. Teams spend millions on GPUs, yet models still stall, latency spikes unpredictably, and throughput flatlines at 20% of what spec sheets promise. These hidden bottlenecks lurk far beneath the surface - in power grids, network fabrics, memory bandwidth, orchestration layers, and even governance policies. In this guide, we uncover where AI infrastructure actually breaks, what the emerging data and research reveal, and how Clarifai's reasoning and orchestration stack helps eliminate these unseen friction points.

Open source vs commercial AI: choosing the right path for your business

This blog is based on a presentation by Guillaume, Field Chief Technology Officer at Upsun, and Robert from Ilwiin Technology during the AI Action Summit. The original French presentation has been translated and edited for clarity and accuracy. The AI field is advancing significantly, presenting organizations with the question: Should they choose open-source or commercial AI models? This choice impacts everything from costs and data privacy to long-term business strategy.

Add Postgres with one YAML line. Deploy in under a minute.

Let’s break down why this matters, and how it can change the way you approach building and running applications. You want database power without getting bogged down in tooling and config. Most of your week should be building features, not hunting for connection strings or maintaining bespoke infra scripts. Developers tell us they just want to code and solve application problems, with minimal platform friction.

Boosting Profitability with Ribbon Intelligent Solutions

Ready to Make Your Network Smarter? Ribbon’s Exclusive Preview Before Africa Tech Festival Attend to Learn About Ribbon's: Intelligent Automated IP Optical Networks Multilayer Automation & AIOps The Path towards Autonomous Networks Don’t miss this chance to see what’s next for service providers.

Harness AI October 2025 Updates: Smarter Pipelines, Instant Troubleshooting, and Memories

The AI Velocity Paradox is real. While teams are writing code faster than ever, they're hitting a wall downstream. Deployments are failing. Security vulnerabilities are slipping through. Manual toil is eating up whatever time developers saved with AI-assisted coding. The speed boost from one part of the software delivery lifecycle is being strangled by legacy processes in another. Harness is solving this the only way that works: by bringing intelligent AI deeper into the delivery process itself.

When Cloud Providers Have an Outage, Your Feature Flags Shouldn't

Cloud outage? Your flags should keep running. Harness Feature Management ensures seamless feature delivery with instant SDK fallback, local decisioning, and a globally distributed streaming architecture—no redeploys required. Over the past few weeks, the software industry has experienced multiple cloud outages that have caused widespread disruptions across hundreds of applications and services. When systems went down, the difference between chaos and continuity came down to architecture.