Datadog | The Monitor blog

Build better SLOs with RUM and synthetic SLIs

Effective Service Level Objectives (SLOs) require balancing Real User Monitoring (RUM) and synthetic data to accurately track user experience benchmarks beyond backend metrics. The…

Beyond container image signing: How we enforce software supply chain policies at Datadog

Container image signing alone cannot detect compromises introduced before an image is built, such as poisoned dependencies or malicious source changes, necessitating a more compreh…

How Kubernetes DRA can improve GPU utilization and cut costs

The legacy Kubernetes device plugin model limits GPU utilization through rigid partitioning and a lack of awareness regarding specific hardware capabilities or topology. Kubernetes…

Monitor the performance of critical steps in user journeys with RUM operations

Datadog’s Operations Monitoring allows teams to isolate and track specific technical steps, such as payment processing, to measure their reliability and latency independently of un…

Introducing Scout 1.0: A new SRE model powering Bits AI with frontier performance at a fraction of the cost

Datadog has introduced Scout 1.0, a specialized AI model designed to power "Bits Investigation," an AI SRE that investigates production issues. By utilizing reinforcement learning …

How Datadog defines service criticality at scale

To optimize deployment and reliability efforts at scale, Datadog developed a system to classify service criticality by combining multiple data signals, including LLM-analyzed postm…

Unify data across Datadog BYOC with cross-cluster queries for teams and AI agents

Datadog’s Bring Your Own Cloud (BYOC) feature introduces cross-cluster queries, allowing users to search logs across multiple regions or business units with a single query. This fu…

Run incident response in your FedRAMP High environment

Datadog has extended its FedRAMP High certification to include Datadog Incident Response within the US1-FED GovCloud environment, allowing federal agencies to manage sensitive inci…

Define user actions on your web app with visual labeling in Product Analytics

Datadog’s Visual Labeler enables non-engineers to define meaningful user actions by simply selecting web elements via a browser extension, eliminating the need for code changes or …

How we replaced our host vulnerability scanner with the Datadog Agent

To resolve scaling and credential expiration challenges associated with remote scanning, Datadog migrated its host vulnerability scanning to the existing Datadog Agent. This transi…

Ship faster, improve reliability, and control CI costs with Datadog CI/CD Optimization

Datadog CI/CD Optimization helps teams accelerate software delivery by identifying pipeline bottlenecks and managing flaky tests to improve CI reliability. By utilizing features li…

Process and route critical security logs to Exabeam with Observability Pipelines

Datadog’s Observability Pipelines Packs reduce Exabeam ingest and retention costs by filtering out high-volume, non-actionable security log noise before it reaches the SIEM. These …