Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Application Performance Monitoring and related technologies.

Safely Roll Out Features with Datadog Feature Flags

In this short demo, see how Datadog Feature Flags help teams release new functionality safely and efficiently. Datadog provides advanced targeting, progressive rollouts, and automatic rollbacks — all integrated with powerful observability data. Learn how you can use simple on–off flags or multi-variant configurations to test and deploy features with confidence. With built-in monitoring of key guardrail metrics, Datadog can automatically pause or reverse rollouts when issues are detected, keeping your releases stable.

Building Smarter AI Products #Datadog #DASH #AI

AI capabilities are advancing faster than ever — transforming how teams design, build, and ship intelligent products. In this teaser from Building Successful AI-powered Products at Datadog DASH, experts discuss the rise of agent-based systems, evolving model capabilities, and how to stay ahead in the new era of automation.

How Datadog is Reinventing On-Call #Datadog #OnCall #DevOps

Datadog is reimagining how engineers handle incidents—moving beyond simple alerts to an intelligent, voice-driven on-call experience. With Datadog On-Call, teams can acknowledge alerts, access runbooks, post to Slack, and collaborate in real time, all before even touching their computer. See how Datadog brings incident response, communication, and automation together so you can respond faster and keep customers informed.

The APM paradox

Application Performance Monitoring (APM) means many things to many people. At its core, it enables developers to diagnose why their applications are slow and helps them provide a better experience to their users. Traditionally, this is accomplished by collecting a lot of data and displaying it in the form of dashboards and request traces. The problems you're trying to solve are generally known up front.

Monitor OCI spend, AI in DDSQL Editor, OTLP Metrics API, and more | This Month in Datadog

See how you can gain insights into cloud costs by tracking OCI spend and easily comparing instance types in October’s episode of This Month in Datadog. Join us for a spotlight of Cloud Cost Management’s support for Oracle Cloud Infrastructure, and the product’s new feature, Instance Explorer, which enables you to visualize and easily compare the cost and performance of instances across AWS, Azure, and Google Cloud.

APM for Banks and Fintech: Ensuring Stability in High-Transaction Apps

The financial services industry is undergoing a major transformation. According to the McKinsey & Company 2025 Global Payments Report, digital payments continue to dominate, generating approximately $2.5 trillion in revenue from around $2.0 quadrillion in value flows across 3.6 trillion transactions worldwide. In another survey conducted by JP Morgan says that, more than 30 percent of financial professionals reported that faster payments are having a positive impact on their organizations in 2025.

APM in 2026: The New Standard for Business Reliability and Growth

Global IT spending is expected to reach a record $6.08 trillion by 2026, with software investments growing by 15.2%. This shows how critical application performance has become for businesses today. For almost 80% of companies, even one hour of downtime can cost more than $300,000. In a world where every digital experience affects your revenue and brand reputation, keeping your applications performing well is no longer optional.

Datadog vs Grafana (2025) - Costs, Use Cases, and Key Differences

When engineering teams evaluate observability tools, the "Datadog vs. Grafana" debate is one of the most common. The choice is difficult because they represent two fundamentally different philosophies. Datadog is a comprehensive, all-in-one, managed SaaS platform. It offers a "buy" solution where you get a unified experience for metrics, logs, and traces out of the box. Grafana is an open-source, highly flexible visualization layer.