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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - February 2026 Amazon EC2 security: How misconfigured and public AMIs expand your cloud attack surface Enable end-to-end visibility into your Java apps with a single command Measure and improve mobile app startup performance with Datadog RUM Evaluating our AI Guard application to improve quality and control cost Identify untested code across every level of your codebase Make use of guardrail metrics and stop babysitting your releases Monitor Versa Networks SD-WAN performance in Datadog Improve performance and reliability with APM Recommendations Remediate transitive vulnerabilities faster with Datadog Software Composition Analysis Generate audit-ready vulnerability and compliance reports with Datadog Sheets Monitor Fortinet FortiManager performance in Datadog Improve test coverage across codebases with Datadog Code Coverage Move fast, don’t break things: Consistent testing standards at scale Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool Monitor Lustre with Datadog Make faster, better product decisions with Datadog Product Analytics Surface and remediate runtime posture issues with Workload Protection Findings Protect agentic AI applications with Datadog AI Guard How to optimize JavaScript code with CSS Trace Google Pub/Sub workloads in Cloud Run with Datadog Detect human names in logs with ML in Sensitive Data Scanner How we cut our NLQ agent debugging time from hours to minutes with LLM Observability Debug PostgreSQL query latency faster with EXPLAIN ANALYZE in Datadog Database Monitoring Datadog acquires Propolis Unify and correlate frontend and backend data with retention filters Scale compliance across global frameworks with Datadog Cloud Security Monitor Arista VeloCloud SD-WAN performance with Datadog Building reliable dashboard agents with Datadog LLM Observability Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines Mitigation for Node.js denial-of-service vulnerability affecting Datadog APM Automate flaky test fixes with the Bits AI Dev Agent and Test Optimization How we built an AI SRE agent that investigates like a team of engineers Datadog integrations 2025 recap: Observability for AI, security, and hybrid cloud Design effective executive dashboards with Datadog Implement dbt data quality checks with dbt-expectations Bring faster visibility into AWS Lambda functions with remote instrumentation Troubleshoot faster with the GitLab Source Code integration in Datadog How Cambia Health Solutions saved $30,000 monthly with Cloud Cost Management and the Datadog Resource Catalog Normalize any logs for Cloud SIEM with Datadog's OCSF processor Optimizing Datadog at scale: Cost-efficient observability at Zendesk Detect, diagnose, and resolve network issues easily with CNM Network Health Connect engineering errors to user impact in early-stage products Cilium configuration for Kubernetes operations at scale Designing feedback loops for progressive delivery Ship features faster and safer with Datadog Feature Flags Choosing the right OpenTelemetry Collector distribution Route your monitor alerts with Datadog monitor notification rules Automate Cloud SIEM investigations with Bits AI Security Analyst Cloud threat detection: How to identify risky activity across control and data planes Collecting Kafka performance metrics Monitoring Kafka with Datadog Monitoring Kafka performance metrics
Expand your monitoring reach with Datadog's enhanced Azure integration
2020-11-17 · via Datadog | The Monitor blog

Microsoft Azure is one of the fastest-growing cloud platforms in the world, offering a wide range of products for deployment, testing, and cloud storage. Datadog is committed to maintaining an extensible monitoring solution for Azure’s growing ecosystem that doesn’t require lots of manual configuration. That’s why we are excited to announce the following enhancements to Datadog’s Azure integration:

Datadog ingests Azure Monitor metrics faster than ever

Up-to-date metrics are essential for maintaining comprehensive visibility into any environment. We have always collected all standard metrics from Azure Monitor, but thanks to our close collaboration with Microsoft’s development team, these metrics now appear in Datadog significantly faster than they did in the past. By reducing Azure Monitor metric collection latency by over 40 percent, we’ve set a new industry standard and ensured that all of your Datadog dashboards and monitors contain the most up-to-date information. You can now rest assured that changes in key metrics, such as deployment failures on Azure App Service and exceeded resource limits on Azure SQL Database, will be reflected in Datadog as quickly as possible.

View Azure Monitor metrics in Datadog.

A streamlined log collection mechanism for Azure logs

Azure logs provide vital, detailed information about activity in your Azure environment, which can help you assess the severity of an error or outage—and identify its root cause. Datadog Log Management enables you to store every ingested log in one place—and provides you with sophisticated search, filter, and alerting tools to help you get the most out of your log data. Our recent updates to our Azure integration include an easily deployable template that streamlines the Azure log collection process. Users can simply modify and run a Powershell script to create and configure the template, so Azure Platform logs can start flowing into Datadog in minutes.

An easily deployable template streamlines the Azure log collection process.

Monitor more Azure services with new out-of-the-box dashboards

At Datadog, we are always looking for opportunities to expand our out-of-the-box offerings, so users can start monitoring the technologies they rely on as quickly as possible. That’s why we are happy to introduce brand new out-of-the-box dashboards for two of Azure’s most popular services: Azure CosmosDB and Azure API Management Service.

Azure CosmosDB is a multi-model, globally distributed, and fully managed NoSQL Database service for modern app development. CosmosDB’s flexible approach enables its users to store data in a variety of forms, which can be accessed through several popular APIs, such as MongoDB, Cassandra, and Gremlin. Datadog’s new Azure CosmosDB dashboard provides immediate insight into the performance of your CosmosDB instance. For example, you can visualize platform-level metrics, such as total request units consumed, as well as API-level metrics, such as the number of Cassandra keyspaces created, in order to better understand your CosmosDB usage.

Datadog's out-of-the-box CosmosDB dashboard provides immediate insight into the performance of your CosmosDB instance.

Azure API Management Service is a scalable, multi-cloud API management platform that allows users to create consistent and modern API gateways for backend services. With Datadog’s new out-of-the-box Azure API Management Service Dashboard, you can gain vital insights into how your API gateways perform for your web applications deployed in various Azure regions. This new dashboard will enable you to recognize service outages, view request breakdowns, and monitor utilization rates for your API gateways so you can respond quickly to any concerning activity.

Datadog's out-of-the-box Azure API Management Service Dashboard provides vital insight into how your API gateways are performing.

Get started today

These enhancements to the Azure integration are now available. For more information on how to get up and running with them, check out our documentation. And if you’re not yet using Datadog but you’d like to get comprehensive insights into the performance and health of your Azure infrastructure, sign up for a 14-day free trial.