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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 - 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Centrally manage Agent upgrades and configurations with Datadog Fleet Automation
2024-12-02 · via Datadog | The Monitor blog

Teams can gain deep visibility into their applications and infrastructure by installing Datadog’s client-side agent software—the Datadog Agent—throughout their environment. And to help ensure the Agent is deployed correctly and consistently, Datadog’s Fleet Automation feature already helps teams centrally view Agent installations and configurations. But teams also need an easier way to manage the deployment and configuration of the Agent at scale.

We’re pleased to announce that Fleet Automation now elevates Datadog Agent management not only by centralizing visibility into Agent deployments and configurations, but also by enabling teams to perform administrative actions centrally from within the Datadog platform. With Fleet Automation, teams can now securely and remotely manage Agent software upgrades, enforce configuration standards, and ensure that Agent deployments are consistent across their environments. These new Fleet Automation features move beyond providing visibility by empowering teams to scale upgrades and easily configure the Agent across the entirety of their infrastructure.

In this blog post, we will discuss how Datadog Fleet Automation allows teams to centrally manage upgrades for and apply configurations to their entire fleet of Agents.

Easily perform Agent software upgrades across your infrastructure

Fleet Automation’s new Upgrades tab, shown below, provides a simple solution for keeping the Agent software current and compliant across all your environments. By centralizing Agent upgrades, Fleet Automation helps you deploy the most recent Agent version with latest features throughout your infrastructure and maintain a strong security posture with the latest security patches.

Combined with Fleet Automation’s ability to provide centralized visibility into the status of Agent upgrades, this ability to upgrade the Agent at scale allows central teams to both deploy the Agent and immediately verify the success of that deployment. It also improves operational efficiency by removing the need to delegate and coordinate this responsibility across teams, and by unifying deployment of the Agent across all operating systems within a single tool.

Managing Agent upgrades across the organization.

Enable Agent configurations and product features at scale

Through its new Agent policy feature, Fleet Automation goes beyond merely identifying configuration issues. Admins can now proactively manage Agent configurations to ensure a consistent setup for all Datadog Agents that fall within the scope of a defined policy. Additionally, because the Datadog Agent’s configuration enables product features, Fleet Automation policies allow you to enable Datadog products and capabilties—such as Cloud Security, Network Performance Monitoring, and Live Processes—at scale.

Enabling Datadog products via a policy.

To make it easy to create new policies or modify existing ones, Fleet Automation provides guided workflows. Thanks to these workflows, instead of needing to configure the datadog.yaml file, engineers can now configure hosts across any portion of their infrastructure through the Datadog UI, without needing to access any hosts directly. The simplicity of creating and applying new policies through workflows also makes it easier for teams to push out configurations to either a small number of Agents to test new Datadog features or to the entire fleet of Agents to ensure consistency in observability coverage.

Manage Agent upgrades and configurations at scale

By allowing you to perform Agent upgrades and use policies to apply Agent configurations, Datadog Fleet Automation’s capabilities now offer centralized management and configuration of Agent fleets in addition to centralized visibility. Fleet Automation is a core feature of the Datadog platform and is available to all customers at no extra cost. To learn more about how to get started using Fleet Automation, see our documentation. To start managing Agent upgrades in Fleet Automation, sign up for the Upgrade Agent Preview here. To start applying Agent configuration policies, sign up for the Agent Configuration Preview here. And if you’re not yet a Datadog customer, sign up for a 14-day free trial to get started.