Observability, implemented.Done right from day one.
We roll out Datadog product by product, with standards agreed before data flows, so your teams trust what they see from day one.
Why it matters
The first months decide how a platform is used for years.
Agents installed without a plan create noisy data, unclear ownership and a bill that is hard to explain. Getting it right at the start costs far less than fixing it later.
Suitable for
- 01Organizations that have just bought Datadog
- 02Teams extending coverage to new products or business units
- 03Companies moving off Splunk, New Relic, Dynatrace or Grafana
What we implement
Every layer you run, on one platform.
Pick the modules you need now and add the rest later. Each one stands on its own.
- 01
Infrastructure
- Infrastructure
- Kubernetes
- Network
- Serverless
- Cloud Cost
- 02
Applications
- APM
- Continuous Profiler
- Database Monitoring
- Data Streams
- 03
Digital experience
- RUM
- Synthetics
- Session Replay
- Error Tracking
- 04
Logs
- Log Management
- Flex Logs
- Archives
- Observability Pipelines
- 05
Security
- Cloud SIEM
- Cloud Security
- App and API Protection
- 06
Software delivery
- CI Visibility
- Test Optimization
- DORA Metrics
- 07
AI and data
- LLM Observability
- Data Jobs
- Data Observability
- 08
Integrations
- 1,000+ integrations
- Custom checks
- API
- 09
OpenTelemetry
- OpenTelemetry
- DDOT Collector
Migration
Move to Datadog without losing sight.
From Splunk, New Relic, Dynatrace, Elastic, Prometheus and Grafana or Sumo Logic. We redesign as we move, run both tools side by side, and switch over only when coverage is proven.
- 01Inventory
Every dashboard, alert and pipeline in the current tool.
- 02Redesign
Rebuilt the Datadog way, not lifted and shifted.
- 03Run in parallel
Both tools side by side until coverage checks pass.
- 04Switch over
Cut-over, then the old tool is retired.
How we work
Standards first. Validated. Handed over.
- 01
Standards first
Tagging and naming agreed before any data flows.
- 02
Validated
An ingestion dashboard shows every source arriving correctly.
- 03
Handed over
Documentation and a knowledge transfer session for your team.
- InfrastructureEvery host reporting, tags appliedChecked
- KubernetesClusters, nodes and pods visibleChecked
- APMTrace flow and service map verifiedChecked
- LogsParsed, enriched, sent to the right indexChecked
- RUMSessions and errors capturedChecked
- SecuritySignals flowing, detection rules testedChecked
- Tagsenv · service · team · version on every sourceChecked
What you walk away with
Data you can trust, from day one.
Datadog live
Across the modules you chose.
One tagging standard
Followed by every team.
Every source validated
Documented, so your team can maintain it.
FAQ
Implementation questions.
Do you also build the alerts and dashboards?
Implementation gets the right data into Datadog. Alerts, dashboards and SLOs belong to Configuration & Governance, and the two often run in the same engagement.
Can we start with one module?
Yes. Each module stands on its own. Many clients start with infrastructure or APM and add the rest later.
How long does a migration take?
It depends on the size of your current estate. We scope it after the inventory, and the parallel run keeps the risk low throughout.
Do we have to replace all our current tools?
No. If some tools still earn their place, we keep them, connect them to Datadog so everything is seen in one place, and retire only the rest.
Do you work with OpenTelemetry?
Yes. We design vendor-neutral telemetry with Datadog as the backend, and move existing OpenTelemetry setups onto Datadog's collector.
Next step
See the plan before you commit.
A complimentary 30-minute conversation about your environment, your priorities and the observability gaps worth closing first. No commitment.