Operations | Monitoring | ITSM | DevOps | Cloud

Optimize Kubernetes cluster cost with Datadog Cluster Autoscaler

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.

Observability in the AI age: Datadog's approach

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?

Observo AI Named a 2025 Inc. Best in Business Honoree

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.

AI agents just got smarter thanks to PagerDuty + AWS

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.

Top Browser Monitoring Features Every DevOps Team Should Prioritize in 2026

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.

Harness and Amazon Team Up to Bring AI-Powered DevOps to Your IDE

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.

Using the Downsampling Plugin in InfluxDB 3

Modern systems generate huge volumes of time series data. Advances in hardware and edge instrumentation enable sensors and applications to capture new values every second—or faster—which makes high-frequency measurement easy and affordable. When applied effectively, this steady flow of data reveals early warning signs, highlights subtle performance shifts, and helps teams understand how systems behave in real-time.

Understanding External Attack Surface Management: How It Works and Why It's More Critical Than Ever

Attack surfaces can expand without your organization even realizing it. And, lacking visibility into your external-facing assets and the vulnerabilities they may contain can lead to significant security risks. External attack surface management (EASM) is a cybersecurity approach designed to safeguard your external assets and strengthen your organization's overall security posture.

How to Streamline Employee Appreciation Programs at Scale

Scaling employee appreciation is one of those challenges that sounds deceptively simple on the surface. Most leaders genuinely want to show gratitude, acknowledge hard work, and celebrate the people who keep the organization running. But as a company grows-whether from 50 employees to 500, or from 500 to 5,000-the casual, personal touch that once defined workplace appreciation starts to slip through the cracks. What used to be easy to manage in a small office suddenly becomes scattered, inconsistent, or dependent on a few individuals who are already stretched thin.