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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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Store and manage Datadog configurations as code with Performetriks’ offering in the Datadog Marketplace
2022-07-28 · via Datadog | The Monitor blog

Performetriks is a service provider that specializes in assessing and improving application performance and security for enterprise clients. To streamline these processes, Performetriks offers frameworks for automation, benchmarking, and security testing, as well as tools that evaluate and improve application performance. This includes their Composer tool, an on-prem piece of software that allows teams to more efficiently manage monitoring settings by storing, tracking, and managing them as code.

We’re pleased to announce that the Performetriks Composer for Datadog tool is now available in the Datadog Marketplace. Using Composer, you can easily document and store Datadog configuration settings as JSON files and then check them into a repository in a version control system (VCS), such as GitLab, where you can track and manage them. When your monitoring settings are stored in a VCS, you can use a CI/CD pipeline tool to automate backing up or deploying configuration settings to multiple Datadog environments.

Performetriks Composer for Datadog main screen with Create New Configuration button.
The home screen of the Composer for Datadog tool allows you to create a new Datadog configuration JSON file, which you can then manage as code.
Performetriks Composer for Datadog main screen with Create New Configuration button.
The home screen of the Composer for Datadog tool allows you to create a new Datadog configuration JSON file, which you can then manage as code.

Streamline coordination among Datadog administrators and environments

If several admins manage your Datadog environment, it’s important that everyone is on the same page when settings such as monitors, dashboards, and SLOs are adjusted. Storing Datadog configurations as code means that any administrator with access to the repository can easily track and detect the most recent changes using all the tools that a VCS provides.

By enabling you to create reusable configurations, Composer lets you deploy uniform, consistent monitoring to every Datadog environment. You can easily port existing configurations to other Datadog environments by cloning the repository and using Composer to upload the configuration to the org. Admins can also use a CI/CD pipeline tool, such as Jenkins, to automatically deploy configurations that are stored using Composer.

Easily repair and restore Datadog configurations

Configuration errors can be challenging to remediate manually, because issues can be difficult to pinpoint and time-consuming to resolve. Having backups of former configurations on hand can help. When you use Composer to store your monitoring settings in a repository, you can maintain backups of configurations for multiple Datadog environments. You can start a backup ad hoc using the Composer UI, or automate backups as part of a CI/CD pipeline.

When errors are discovered, Composer’s Upload and Restore features make it easy to upload an existing monitoring configuration to a new environment or to restore a working configuration to replace a broken one. For example, if a Datadog user accidentally deletes a dashboard, admins can use Composer to easily restore the configuration settings from before the unwanted change was made.

The Restore screen of the Composer for Datadog tool, where you can restore a prior Datadog configuration.
Performetriks Composer for Datadog Restore screen where users can restore dashboards, monitors, and SLOs.
The Restore screen of the Composer for Datadog tool, where you can restore a prior Datadog configuration.

Get started in the Datadog Marketplace

Composer for Datadog is now available for purchase in the Datadog Marketplace, allowing you to start implementing a monitoring-as-code solution using Datadog. If you’re not yet a Datadog customer, you can learn more about the Datadog Marketplace in our blog post—and sign up for a 14-day free trial of Datadog today.

The ability to promote branded monitoring tools in the Datadog Marketplace is one of the benefits of membership in the Datadog Partner Network. If you’re interested in developing an integration or application for the Datadog Marketplace, visit the Datadog Partner Network and sign up as a Technology Partner.