# datadog agent Published articles for datadog agent. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Stop runtime threats with Workload Protection response actions DevFeed: [Stop runtime threats with Workload Protection response actions]() Original publisher: [Read original article]() Author: Théo Putegnat; Taylor Overturf Published: 2026-09-04T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Processes](), [Vulnerabilities]() Tags: [datadog-agent](), [processes](), [security](), [threat-detection](), [vulnerabilities](), [workload-protection]() ### AI overview Datadog Workload Protection adds automated and manual runtime response actions. Agent rules can terminate matching malicious processes automatically, while analysts can investigate signals and respond manually. ### Source excerpt When a runtime threat appears, every step costs time. Datadog Workload Protection can now kill processes and isolate workloads with automated and manual response actions. ## Engineering the Datadog Agent for FedRAMP High® Certification DevFeed: [Engineering the Datadog Agent for FedRAMP High® Certification]() Original publisher: [Read original article]() Author: Srdjan Grubor; Nathan Baker Published: 2026-07-28T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Cryptography]() Tags: [architecture](), [compliance](), [cryptographic](), [cryptography](), [datadog-agent](), [engineering](), [fedramp](), [go](), [infrastructure](), [logs](), [metrics](), [network-configuration](), [observability](), [python](), [security](), [traces]() ### AI overview The article explains how Datadog engineered its Agent to meet FedRAMP High requirements in customer-managed environments, emphasizing cryptographic enforcement across Go and Python runtimes. ### Source excerpt Datadog achieves GovRAMP High authorization, bringing unified observability and security to state and local government agencies for critical systems. ## Provision Datadog on Stripe Projects DevFeed: [Provision Datadog on Stripe Projects]() Original publisher: [Read original article]() Author: Christy Smith; Vidur Khanna; Elizabeth George Published: 2026-07-23T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [stripe](), [Provisioning](), [Command-line interface](), [API keys](), [Software as a service](), [datadog agent](), [SDKs](), [API]() Tags: [api](), [cli](), [datadog-agent](), [developer](), [how-to](), [infrastructure-monitoring](), [saas](), [stripe](), [tools]() ### AI overview Stripe Projects lets developers provision Datadog from the Stripe CLI in two commands, creating a Datadog organization, trial, and API key while using an existing Stripe payment method. ### Source excerpt Learn how to provision Datadog on Stripe Projects, start a 14-day free trial, and manage billing through your existing Stripe account. ## From zero to traces: Choosing the right APM instrumentation method for your stack DevFeed: [From zero to traces: Choosing the right APM instrumentation method for your stack]() Original publisher: [Read original article]() Author: Tarun Kothandaraman Published: 2026-07-22T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [telemetry](), [Processes]() Tags: [apm](), [applications](), [datadog-agent](), [instrumentation](), [opentelemetry](), [process](), [traces](), [tracing]() ### AI overview The article explains how to choose between Datadog Single Step Instrumentation and manual tracer installation for distributed tracing. It distinguishes automatic tracing behavior from the method used to install the tracer, and notes when manual or custom instrumentation may still be useful. ### Source excerpt Learn why Single Step Instrumentation is our default recommendation for setting up APM traces, and when to consider other methods. ## Monitor Scaleway with Datadog DevFeed: [Monitor Scaleway with Datadog]() Original publisher: [Read original article]() Author: Ellie Cohen; Eddie Cai Published: 2026-06-09T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [Cloud](), [log management](), [datadog agent](), [telemetry](), [Kubernetes](), [audit trail](), [incident](), [dashboards](), [API](), [configuration]() Tags: [api](), [audit-trail](), [cloud](), [compliance](), [database](), [datadog-agent](), [incident](), [infrastructure-monitoring](), [kubernetes](), [log-management](), [logs](), [scaleway](), [telemetry](), [traces](), [tracing]() ### AI overview This post explains how the Datadog Scaleway integration collects telemetry from Scaleway Cockpit and Audit Trail, deploys the Datadog Agent on Scaleway compute instances, and monitors Kubernetes workloads. It also shows how to search and correlate Scaleway logs with infrastructure metrics, application logs, and traces in Datadog. ### Source excerpt Use the Datadog Scaleway integration to collect logs from Cockpit and Audit Trail and monitor Scaleway alongside your other cloud providers. ## Own Your Observability: Supabase Metrics API DevFeed: [Own Your Observability: Supabase Metrics API]() Original publisher: [Read original article]() Author: Steven Eubank Published: 2025-12-16T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [API](), [telemetry](), [observability](), [Prometheus](), [Grafana](), [Grafana Cloud](), [datadog agent](), [Amazon Web Services](), [Self-hosted]() Tags: [api](), [aws](), [datadog-agent](), [grafana](), [grafana-cloud](), [metrics](), [monitoring](), [observability](), [prometheus](), [replication](), [self-hosted](), [storage](), [telemetry](), [visualization]() ### AI overview Supabase's Metrics API streams roughly 200 Postgres performance and health metrics in Prometheus exposition format, enabling integration with Grafana Cloud, Datadog, AWS Managed Prometheus, self-hosted Grafana, and other Prometheus-compatible backends. The article explains how this unifies database telemetry with existing observability stacks for monitoring, visualization, alerting, and troubleshooting. ### Source excerpt Stream your Supabase database telemetry into any Prometheus-compatible observability stack with the Metrics API. Full control over monitoring, visualization, and alerting. ## Setting up Redpanda observability in Datadog DevFeed: [Setting up Redpanda observability in Datadog]() Original publisher: [Read original article]() Author: Kavya Shivashankar Published: 2025-08-27T00:00:00Z Content type: tutorial Language: en Sources: [Redpanda]() Topics: [Setting up Redpanda observability in Datadog](), [observability](), [datadog agent](), [dashboards](), [Docker Compose](), [Streaming](), [Raft](), [Cloud]() Tags: [anomaly-detection](), [configure-redpanda-on-datadog](), [dashboards](), [datadog](), [datadog-agent](), [datadog-agent-for-redpanda](), [datadog-anomaly-detection-redpanda](), [datadog-dashboards-for-redpanda](), [docker](), [integration](), [monitor-redpanda-with-datadog](), [observability](), [prometheus](), [raft](), [redpanda-cluster-monitoring](), [redpanda-connect](), [redpanda-datadog-integration](), [redpanda-docker-setup](), [redpanda-logging-with-datadog](), [redpanda-metrics-in-datadog](), [redpanda-performance-monitoring](), [setting-up-redpanda-observability](), [setting-up-redpanda-observability-in-datadog](), [streaming]() ### AI overview This guide explains how to integrate Datadog with Redpanda to collect, visualize, and analyze cluster metrics and broker logs. It covers Datadog dashboards, alerts, anomaly detection, the Datadog Agent, and a Docker-based single-node setup. ### Source excerpt A comprehensive guide to integrating the Datadog Agent with Redpanda for data collection, metric scraping, and tapping into Datadog's powerful dashboards.