Read & query data
Pull live records, search entities, and keep downstream systems up to date.
- Query Timeseries
- Get Monitor
- List Monitors
- Query Logs
Integration
Integrate Datadog monitoring into workflows. Submit metrics, manage monitors, query logs, create events, handle downtimes, and more.
Datadog is a comprehensive monitoring and analytics platform for infrastructure, applications, logs, and more.
What can you do with the Datadog integration? Datadog is a comprehensive monitoring and analytics platform for infrastructure, applications, logs, and more. It enables organizations to gain real-time visibility into the health and performance of systems, detect anomalies, and automate incident response. With Datadog, you can: AptlyStar exposes 12 operations so teams can automate end-to-end processes without maintaining brittle scripts.
Compose Datadog with the rest of your stack using visual workflows and agents.
Pull live records, search entities, and keep downstream systems up to date.
Insert, upsert, and patch objects so Datadog workflows stay synchronized automatically.
Archive, delete, merge, and reconcile records with guardrails and approvals.
React to webhooks and polling triggers the moment something happens.
Aggregate metrics, export datasets, and feed BI or agent summaries.
React to webhooks and polling triggers the moment something happens.
Ship AI workflows that read, decide, and act on Datadog — with guardrails and human approvals where you need them.
Create a scheduled daily workflow that queries Datadog for key infrastructure metrics — error rates, latency percentiles, CPU and memory usage — logs them to a table for trend tracking, and sends a morning Slack report h...
Explore templatesBuild a scheduled workflow that polls Datadog monitors for any in an alerting state, classifies severity, creates a Linear ticket for non-paging issues with full context, and posts a Slack notification linking both.
Explore templatesCreate a scheduled weekly workflow that queries Datadog timeseries for the key reliability metrics behind each service SLO, computes error budget burn, and writes a narrative review file for the SRE team to discuss in th...
Explore templatesBuild a scheduled workflow that queries Datadog estimated-usage timeseries for the top custom metrics by volume, writes optimization recommendations to a finance review file, and pings the platform team.
Explore templatesCreate a scheduled workflow that lists every Datadog monitor nightly, fetches each monitor’s full configuration, exports the definitions as JSON to S3 with version history, and writes a manifest to a tracking table for r...
Explore templatesBuild a workflow triggered after a deploy that creates a Datadog event marker, queries error-rate and latency timeseries over the next few minutes, and pages the team via PagerDuty if the metrics breach the rollback thre...
Explore templatesConnect Datadog once, then reuse the same blocks across agents, workflows, and templates.
Teams lose hours copying data between Datadog and CRMs, inboxes, and spreadsheets. AptlyStar connects Datadog to 12+ operations so updates flow automatically.
Learn moreOne-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Datadog automations stay maintainable as you grow.
Learn moreAgents need live Datadog context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.
Learn moreReady-to-use workflow templates that include Datadog, just like in the app.
Infrastructure health report
Create a scheduled daily workflow that queries Datadog for key infrastructure metrics — error rates, latency percentiles, CPU and memory usage — logs them to a table for trend trac...
Datadog alert-to-Linear bridge
Build a scheduled workflow that polls Datadog monitors for any in an alerting state, classifies severity, creates a Linear ticket for non-paging issues with full context, and posts...
Datadog SLO weekly review
Create a scheduled weekly workflow that queries Datadog timeseries for the key reliability metrics behind each service SLO, computes error budget burn, and writes a narrative revie...
Datadog cost optimizer
Build a scheduled workflow that queries Datadog estimated-usage timeseries for the top custom metrics by volume, writes optimization recommendations to a finance review file, and p...
Datadog monitor config backup
Create a scheduled workflow that lists every Datadog monitor nightly, fetches each monitor’s full configuration, exports the definitions as JSON to S3 with version history, and wri...
Datadog deploy guardrail
Build a workflow triggered after a deploy that creates a Datadog event marker, queries error-rate and latency timeseries over the next few minutes, and pages the team via PagerDuty...
Design multi-step automations with blocks, branches, loops, and human-in-the-loop checkpoints — no boilerplate code.
Learn moreGive agents tools, memory, and guardrails so they can plan, call integrations, and finish tasks across your stack.
Learn moreGround agents in docs and tables, then trace every run with logs, evaluations, and deployment controls.
Learn moreincidentio
Manage incidents with incident.io
PagerDuty
Manage incidents and on-call schedules with PagerDuty
Cloudflare
Manage DNS, domains, certificates, and cache
CrowdStrike
Query CrowdStrike Identity Protection sensors and documented aggregates
Google PageSpeed
Analyze webpage performance with Google PageSpeed Insights
Grafana
Interact with Grafana dashboards, alerts, and annotations
LangSmith
Forward workflow runs to LangSmith for observability
New Relic
Query observability data and record deployments in New Relic
Connect Datadog to agents and workflows in minutes — no credit card required.