Operations | Monitoring | ITSM | DevOps | Cloud

In 2008, I was sitting in my garage office with a simple but stubborn idea: the Internet deserved better. End users deserved better. Companies needed a way to truly understand what their customers were experiencing, not just what their servers were reporting. Digital Experience Monitoring wasn’t a category yet. But the need was unmistakable. That idea didn’t come from theory or ambition. It came from lived experiences.

Somewhere along the line, enterprises convinced themselves that buying the right “knowledge management platform” would finally fix all of the chaos. Once the tool went in, engineers would magically find the right troubleshooting steps, documentation would stay current, and institutional knowledge would move cleanly across teams without anyone having to chase it down.

For many engineering teams, an incident is a chaotic, all-hands-on-deck event. Once the incident is resolved, everyone returns to their regular work and the valuable lessons from the incident are often lost. The result is a cycle of repeated failures and engineer burnout, where incidents are something to be survived, not learned from. At Cortex, our mission is to help engineering organizations build a culture of continuous improvement.

Running Kubernetes at scale almost always means paying for more compute than you need. To protect reliability, platform and application teams typically overprovision nodes early in development and keep scaling up as they add features and workloads. They are often reluctant to move to smaller or different instance types without a clear picture of how those changes will affect performance or availability. The result is a fleet of underutilized nodes that silently inflate your cloud bill.

Ten years ago, Datadog was a single-product company focused on breaking down the silos between dev and ops. As the shift towards the cloud accelerated and organizations transitioned to the new DevOps model, we set out to develop an observability platform that would enable these teams to safely scale faster and answer the essential questions about their services: are they available, secure, compliant, performant, and cost-efficient?

Today, I’m proud to share that Observo AI has been named to the 2025 Inc. Best in Business list. Awards like this are not just markers of success. They validate the impact we set out to make from day one: solving one of the most painful, structural problems in modern cybersecurity: the overwhelming flood of data slowing down security teams everywhere.

We are on the ground with AWS and announcing innovations that give customers more powerful AI agents for incident management. These new and improved integrations bring PagerDuty context into the AWS ecosystem for faster resolution and more connected data across the business. And, with our new competency, we take this a step further by codifying these best practices into our joint customers’ day-to-day operations. Announced today, here are some of the highlights.

Looking for reliable Heroku monitoring in 2026? Start with the metrics that matter, pair Heroku’s built-ins with the right add-ons, and add alerts that catch issues before users do.

In 2026, digital performance is more critical than ever. Users expect web applications to load instantly, respond flawlessly, and support complex interactions without delay. For DevOps teams, this means browser monitoring is no longer optional—it’s a foundational capability for ensuring availability, speed, and reliability across modern web experiences.

Today, we’re excited to announce our expanded partnership with Amazon, bringing together the power of Amazon Kiro, Amazon Q Developer, and Harness SaaS on AWS to revolutionize how your team builds, troubleshoots, secures, and deploys software. This collaboration is designed to deliver a seamless, intelligent, and scalable software delivery experience for all AWS customers.