Datadog Linux Jobs
Datadog is one of the most widely adopted commercial observability platforms for Linux and cloud-native environments, providing metrics, traces, logs, and security monitoring in a unified SaaS product. Datadog engineers instrument Linux applications, build monitors and dashboards, manage the Datadog Agent, and integrate observability into CI/CD pipelines.
Frequently Asked Questions
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The Datadog Agent is a lightweight process running on Linux hosts that collects system metrics, logs, traces, and process information and forwards them to the Datadog platform. It supports hundreds of integrations for databases, web servers, container runtimes, and cloud services, and is configured via YAML files under /etc/datadog-agent.
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Datadog roles typically require experience with Linux system administration, Kubernetes, and at least one major cloud provider. Familiarity with the Datadog Agent, monitor configuration, APM instrumentation, and Datadog Terraform provider is expected. Python scripting for custom checks is commonly listed.
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Datadog is a fully managed SaaS platform offering broader coverage out of the box, while Prometheus and Grafana require self-hosted infrastructure and more configuration. Datadog is typically chosen by organisations that prefer operational simplicity over cost optimisation. Many large organisations run both, using Prometheus internally and Datadog for business-critical services.
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Yes. The Datadog Agent runs on any Linux distribution and supports bare metal, VM, container, and Kubernetes environments. While Datadog is cloud-hosted SaaS, the monitored infrastructure can be fully on-premise. Hybrid monitoring across on-prem and cloud is one of the most common use cases.