Datadog | The Monitor blog

Introducing Updog.ai: Real-time provider status from Datadog

This Datadog article explains how the platform helps organizations measure and improve their DORA (DevOps Research and Assessment) metrics – Deployment Frequency, Lead Time for Cha…

Ingest OTLP metrics directly into Datadog with the new OTLP Metrics API

This article announces the availability of a new Datadog Agent sidecar for Azure Container Apps, enabling comprehensive monitoring and observability for these serverless container …

A deep dive into Java garbage collectors

This article details TimescaleDB's rewrite of its timeseries storage layer in Rust, moving away from C++. The new Rust implementation delivers significant performance improvements …

Track, debug, and roll back changes with Version History for Synthetic Monitoring tests

Please provide me with the article! I need the text of the article "How we use our Digital Experience Monitoring products to reduce friction in frontend testing and debugging" to b…

Monitor logs from Amazon EKS on Fargate with Datadog

This article details how to effectively monitor AWS Fargate workloads by collecting crucial metrics and logs. It focuses on utilizing Amazon CloudWatch Logs and CloudWatch Metrics,…

Monitor OCI Audit Logs with Datadog Cloud SIEM

This article details how to integrate Oracle Cloud Infrastructure (OCI) logs with Datadog for centralized monitoring and analysis. It outlines configuring OCI to stream logs to Dat…

Manage and optimize your OCI costs with Datadog Cloud Cost Management

This Datadog article highlights the challenges of maximizing ROI from AI investments, specifically around unpredictable costs and performance issues. It explains how Datadog's plat…

Datadog achieves IRAP’s PROTECTED status in Australia

This Datadog article explains how the platform helps organizations measure and improve their DevOps Research and Assessment (DORA) metrics – Deployment Frequency, Lead Time for Cha…

Instantly respond to changes in your data with Datadog automation rules

Datadog Forms allows engineering teams to collect structured feedback directly within their workflows – from incident postmortems to feature requests – and tie it directly to relev…

How we use Datadog to get comprehensive, fine-grained visibility into our email delivery system

The Datadog integration for email allows users to track key email marketing metrics – like opens, clicks, and bounces – directly within the Datadog platform. This provides a unifie…

Scaling Datadog observability: 1,000 integrations and counting

Datadog has surpassed 1,000 integrations, allowing customers to unify data across their entire technology stack—from infrastructure and applications to security and AI—for comprehe…

Keep stakeholders informed with Datadog Status Pages

This article details how Datadog and ServiceNow integration streamlines incident response. By automatically creating ServiceNow incidents from Datadog alerts and enriching them wit…