Operations | Monitoring | ITSM | DevOps | Cloud

There are a lot of ways to gauge the performance of your DevOps teams and the health of your software, but DORA metrics have emerged as the industry standard. If you aren’t familiar with DORA metrics, take a few minutes to read this comprehensive guide to understanding DORA metrics. DORA metrics were designed to offer a high-level, long-term view of how your teams are performing.

AI assistants have transformed how developers work. And now coupled with the Cortex MCP that connects AI assistants directly to live service data, ownership records, and organizational standards, developers can get accurate, context-rich answers about their services and standards right in their IDE. → Tips and prompts for developers using the Cortex MCP But what about engineering leaders?! Your opportunities with AI assistants extend far beyond code generation.

AI coding assistants are already transforming how developers work, helping them write code faster, answer tough questions, and automate repetitive tasks. It’s exciting, it’s powerful… and it’s just the beginning. Cortex MCP connects your AI assistant directly to your live service data, ownership, and organizational standards so it can give accurate, context-rich answers right in your IDE.

Cortex gives engineering teams full visibility and control over their services, from ownership and standards to service history and production readiness. Our goal is to help teams stay aligned and move faster so they are ready for whatever is ahead. The reality for any engineering team is that developers spend the most of their time in their IDE, not their IDP. And while developers love the context Cortex provides, they don’t love context switching.

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.

Engineering excellence is more than code quality or tool choice. It’s about aligning engineering with business goals, improving systems systematically, and building a culture of continuous progress. In a recent episode of the Tech Lead Journal podcast, Cortex CTO and co-founder Ganesh Datta shared lessons from his engineering career.

When launches are delayed or incidents occur, it’s often due to a breakdown in production readiness. Maybe documentation is outdated. Maybe no one’s on-call. Maybe a critical dependency isn’t even known. The truth is, production readiness shouldn’t be a manual checklist. Production readiness needs to be as dynamic as the software being evaluated.

Hi, I’m Bradley. I’m the Director of Sales Engineering at Cortex, and this is how curiosity has shaped my approach to sales engineering and building technical partnerships that drive engineering excellence.

Hi, Riley Durham here. I’m an Event Marketing Manager and Social Media Marketer at Cortex, and I’m here to share how a culture of autonomy and excellence has opened doors for career growth at Cortex. Before joining Cortex, I worked in the DevSec tool space, wearing multiple hats managing events, demand generation, social media, and direct mail marketing. That variety gave me a solid foundation in full-funnel marketing, but it was joining Cortex that really accelerated my growth trajectory.

On a recent episode of The Product Manager podcast, Cortex CEO Anish Dhar joined host Hannah Clark to challenge a growing narrative: that software engineering is obsolete in the age of AI. His take? Engineering isn’t disappearing, it’s maturing. At Cortex, we work with some of the most forward-thinking engineering organizations at companies like Canva and Fanatics.