Splunk to Dynatrace Migration

Dynatrace is an AI-powered observability and application performance management (APM) platform. It provides full-stack monitoring across applications, infrastructure, cloud environments, and user experience — all underpinned by Davis AI, Dynatrace’s automated root cause analysis engine that continuously monitors your environment and surfaces actionable insights.

Dynatrace is built for large, complex enterprise environments and is recognised as a leader in the Gartner Magic Quadrant for APM and Observability. Organizations choosing to migrate from Splunk to Dynatrace typically do so as part of a broader observability modernization initiative. Crest Data’s certified Dynatrace engineers have delivered enterprise-scale migrations with documented outcomes — see our case studies for details.

Dynatrace provides end-to-end observability across your entire technology stack. Key capabilities include:

• Application Performance Monitoring (APM) — traces application transactions end-to-end, from the user’s browser through to backend services and databases.
• Infrastructure Monitoring — collects metrics from hosts, containers, Kubernetes clusters, and cloud services with automatic topology discovery.
• Log Management — ingests and contextualises log data alongside metrics and traces for correlated analysis.
• Digital Experience Monitoring — tracks real user interactions and synthetic test results across web and mobile.
• Security — provides runtime application security and vulnerability detection through Dynatrace Application Security.

When migrating from Splunk, Crest Data maps your existing Splunk dashboards, alerts, and saved searches to the equivalent Dynatrace capabilities, ensuring continuity of your monitoring coverage from day one.

Yes — Dynatrace has comprehensive OpenTelemetry (OTel) support and is an active contributor to the OpenTelemetry project. Dynatrace can natively ingest OpenTelemetry traces, metrics, and logs, making it compatible with any application or service instrumented using OTel-standard SDKs and collectors.

For organizations migrating from Splunk who are also planning to standardize on OpenTelemetry for future instrumentation, Crest Data’s migration process includes configuring your Dynatrace environment to receive both legacy Splunk-forwarded data and new OTel-instrumented telemetry simultaneously — ensuring a smooth transition without any observability gaps during the migration period.

Dynatrace OneAgent is a single instrumentation agent deployed on each monitored host — whether a virtual machine, bare-metal server, or Kubernetes node. Once deployed, OneAgent automatically discovers all processes, services, and dependencies running on that host and begins collecting metrics, traces, and logs without requiring manual per-service configuration.

OneAgent communicates with the Dynatrace platform via ActiveGate, a secure communication layer that handles data routing and encryption. During a Splunk to Dynatrace migration, deploying OneAgent across your environment is typically completed in the early phases — it immediately begins building a live topology map of your infrastructure, which forms the foundation for your new observability setup and accelerates the overall migration timeline.

A Splunk to Dynatrace migration with Crest Data typically takes 4 to 10 weeks, depending on the number of dashboards, alerts, and data sources in your Splunk environment, and the breadth of your infrastructure footprint for OneAgent deployment.

Crest Data’s AI-driven migration engine automates the conversion of Splunk dashboards and saved searches into Dynatrace equivalents, while our certified Dynatrace engineers manage the OneAgent rollout and environment configuration in parallel. We have delivered over 100 platform migrations to date, including a documented Splunk to Dynatrace case study available upon request. Every engagement begins with a free migration assessment to provide an accurate scope and timeline.