Every modern stack has Datadog in it somewhere. Far fewer have Datadog implemented properly — instrumented across the hybrid surface that actually matters, costed as a budget line, and producing dated evidence the auditor will accept without a follow-up email.
We deploy and operate Datadog across AWS, IBM Cloud, Red Hat OpenShift, and on-prem — one operating model your platform team, your on-call rotation, and your compliance lead all work from. APM, Logs, Infrastructure, RUM, Synthetics — implemented as a coherent system, not assembled out of dashboard sprawl.
Datadog is also the platform under our 24/7 SRE Partnership. The same telemetry that proves a control to your auditor is the telemetry our on-call uses at 3am. One stack, one operating model, one bill you can reason about.
We deploy and operate Datadog across regulated, hybrid stacks. APM, Logs, Infrastructure, RUM, and Synthetics implemented as a coherent system, run with the same discipline we bring to the rest of the platform.
Observability platform
Implementation, operations, and cost discipline across the six product areas we deliver with.
Service maps, trace sampling, and latency SLOs that read the same across AWS, IBM Cloud, and OpenShift. OpenTelemetry where it makes sense, native APM where it earns its place.
Log pipelines, parsing rules, retention by index, and an evidence-grade audit trail your supervisor and your enterprise customers will both accept. The bill stays predictable because retention is a decision, not a default.
Host, container, and Kubernetes telemetry across cloud and on-prem — one tags taxonomy, one set of dashboards, one alert routing model. Including the integrations with AWS CloudWatch and IBM Cloud Activity Tracker the hybrid story needs.
Real-user monitoring tied to the same SLO model your backend uses — so the user-visible experience, not just the synthetic uptime, is the thing on-call defends.
API and browser synthetics covering the routes your customers and your contracts actually care about — multi-region, with the SLO and alert wiring that makes them load-bearing rather than noise.
Cloud security posture management and Cloud SIEM on the same agents and pipelines as the rest of your telemetry. A security finding lands as dated, queryable evidence, not another console the auditor has to be walked through.
A structured path from the current Datadog footprint to an implementation your auditor, your on-call, and your finance team can all live with.
What is instrumented, what is not, and what the audit, SRE, and cost gaps actually look like. A target Datadog implementation plan and a costed rollout come out of it.
Agent rollout, tags taxonomy, retention and index strategy, dashboards-as-code, monitor catalogue, and the SLO model the on-call rotation will actually operate against.
APM instrumentation, log pipeline cutover, RUM instrumentation, Synthetics coverage, and alert-routing migration — service by service, with cutover and rollback runbooks at every step.
SLO maintenance, custom-metric governance, retention reviews, dashboard hygiene, and on-call loop tuning — the work that keeps the Datadog bill predictable and the on-call rotation sustainable.
The product mix and complementary tooling behind the Datadog implementations we ship across regulated, hybrid stacks.
Book a Datadog implementation review: a focused diagnostic of your current coverage, your audit and SRE gaps, your retention and cost posture, and the rollout that gets you to a defensible position.