Operations | Monitoring | ITSM | DevOps | Cloud

Enginears Podcast: Redefining Developer Productivity in the AI Era

Developer productivity is top of mind for all engineering organizations. As AI accelerates software development, leaders face a fundamental question: Are we truly building faster, or just building more? And more importantly, are we building the right things, and building them well? In this new era, speed alone isn’t enough. High-impact teams must ensure their work aligns with customer value and is delivered with exceptional quality.

Taking AI Apps From Prototype to Production

At this year’s AWS Summit in New York, agentic AI took center stage with Amazon’s launch of Bedrock AgentCore — a powerful step toward turning AI prototypes into scalable, production-ready applications. From low-code workflows to turnkey infrastructure, a new generation of tools is enabling teams of all skill levels to build, deploy, and monitor AI agents faster than ever.

How to Create Playwright Scripts for Website Monitoring with Chrome, ChatGPT & Sematext

Let’s say you want to make sure your website works as expected. You do not want to check if it just loads. You also want to check if important buttons or features are there and working. Oh, and you don’t want to just do it once. You want to keep an eye on this pretty much all the time. And, of course, you don’t want to keep checking manually if anything broke – you want to be notified, alerted when (not if) things break. You can do this by creating a Browser Monitor.

What's Driving Traffic in Rural America - Broadband, Wireless & DCI for AI

s consumers continue to shift away from traditional cable broadcasting towards streaming video services such as Netflix, Disney+, Hulu, and Paramount+, this will continue to drive the demand for robust middle mile solutions. This growth in data traffic demands not only enhance rural provider’s Internet infrastructure but also fortify their needs for data center interconnectivity (DCI) to metropolitan hubs. In this context, rural markets require connectivity solutions that can support 100G and even 400G connections to efficiently handle rising bandwidth needs tied to cloud applications and content delivery networks.

Bits AI Dev Agent: Automatically identify issues and generate code fixes

The Bits Dev Agent is an AI-powered coding assistant in Datadog designed to reclaim developer productivity by autonomously monitoring telemetry data, identifying key issues, and generating production-ready pull requests. Developers receive asynchronous, context-rich PRs with clear explanations, allowing them to shift their focus from troubleshooting to reviewing solutions and building better code.

Payment Orchestration: Leveraging AI for Smarter Payment Routing and Fraud Prevention

The digital payment landscape has undergone a remarkable transformation with the integration of artificial intelligence technologies. Modern businesses face the challenge of managing complex payment ecosystems while maintaining security and customer satisfaction. Payment orchestration emerges as the solution that bridges this gap, creating unified systems from fragmented payment infrastructures.

66% of us use AI every day, but do we actually know how it works?

There’s a new kind of thinking happening in the world. It doesn’t come with memories, emotions, or doubt. It doesn’t hesitate. It doesn’t wonder. However, it appears to be thinking. Ask it a question, and it responds in perfect grammar. Ask for help, and it gives you options. You could almost believe it understands. Almost. This is what happens when machines are trained to speak like us, but without ever needing to understand us.

Building Systems For AI: Lessons On Governance From DevOps History

In 2008, Nuance hired me to join their Healthcare Speech Recognition team as a “Release Engineer.” DevOps wasn’t a thing yet — Patrick Debois and Andrew Shafer wouldn’t hold their first “DevOpsDays” until 2009. But I was lucky that “Release Engineer” at Nuance meant “jack of all trades” who wrote Makefiles, bash scripts, Perl, and Java to build and release code to a fleet of hundreds of on-premise Linux machines.