Migrate from Dynatrace to Elastic with Expert-Led Services
Why Teams Outgrow Dynatrace as Observability Matures
Dynatrace Limitations
-
Consumption-based pricing can become
difficult to forecast as environments scale and
change. - APM-focused abstraction limits flexibility for non-standard telemetry and cross-domain analysis.
- Limited customisation reduces visibility into underlying data structures.
- Proprietary data formats and tooling increase friction when adopting open standards.
- Prescriptive dashboards limit adaptability as teams and operating models diverge.
Elastic Solutions
-
Resource-based pricing and data lifecycle controls enable more predictable observability
spend. - Unified observability across logs, metrics, traces, and events within a single platform.
- Full control over ingestion pipelines, schemas, enrichment, and indexing strategies.
- Native support for OpenTelemetry and open ingestion paths reduces vendor lock-in.
- Customisable dashboards, queries, and alerting aligned to different teams and use cases
Dynatrace Limitations
- Consumption-based pricing can become difficult to forecast as environments scale and change.
- APM-focused abstraction limits flexibility for non-standard telemetry and cross-domain analysis.
- Limited customisation reduces visibility into underlying data structures.
- Proprietary data formats and tooling increase friction when adopting open standards.
- Prescriptive dashboards limit adaptability as teams and operating models diverge.
Elastic Solutions
- Resource-based pricing and data lifecycle controls enable more predictable observability spend.
- Unified observability across logs, metrics, traces, and events within a single platform.
- Full control over ingestion pipelines, schemas, enrichment, and indexing strategies.
- Native support for OpenTelemetry and open ingestion paths reduces vendor lock-in.
- Customisable dashboards, queries, and alerting aligned to different teams and use cases
Migrating from Dynatrace to Elastic broadens observability beyond APM into a unified, scalable platform. Observata ensures this transition delivers operational continuity, scalability, and long-term control through expert-led migration and lifecycle support.
Elastic Advantages That Support Observability Beyond APM
Horizontal scaling
Queryable cold & frozen tiers
Open Telemetry-first ingestion
Native profiling
Elastic Common Schema (ECS)
Flexible separation of ingestion, storage, & compute
Embedded AI/ML capabilities
Centralized dashboards through Kibana
Embedded AI/ML capabilities
Centralized dashboards through Kibana
Ensuring a Structured Transition to Elastic
- Prepare Your Dynatrace Baseline for a Structured Transition
- How to Move Telemetry from Dynatrace to Elastic Efficiently
- Optimising Your Data Pipelines and Schema for Elastic
- Managing Production Environments During Transition
- Ensuring Security and Compliance Throughout the Transition
Dynatrace Environment Inventory
Identify monitored applications, services, environments, and active integrations.
Telemetry Coverage Review
Review metrics, traces, logs, and custom events currently collected.
Dashboard and Service Views
Document key dashboards, service views, and operational dependencies.
Retention and Data Scope
Capture data retention policies and historical visibility requirements.
User Access and Roles
Review user roles, permissions, and access boundaries.
Historical Data Export
Extract historical telemetry data where required for compliance or analysis.
Incremental Ingestion
Ingest data into Elastic in controlled batches to maintain integrity.
Parallel Data Flow
Run Dynatrace and Elastic ingestion concurrently during transition.
Validation and Comparison
Validate telemetry consistency across both platforms.
Schema Alignment
Map Dynatrace telemetry fields to Elastic Common Schema (ECS).
Pipeline Configuration
Configure ingestion pipelines for metrics, traces, and logs.
Data Enrichment
Apply enrichment for service context, environment, and ownership.
Index and Lifecycle Policies
Define index templates and retention rules for performance and cost control.
Dual-Platform Monitoring
Operate Dynatrace and Elastic side by side during migration phases.
Operational Readiness Checks
Validate dashboards, alerts, and workflows before cutover.
Progressive Cutover
Reduce Dynatrace dependency incrementally as Elastic stabilises.
Access Controls
Align user roles and permissions across Dynatrace and Elastic.
Data Protection
Ensure encryption in transit and at rest throughout migration.
Audit and Logging
Maintain audit trails for observability data access and changes.
Regulatory Alignment
Validate GDPR and regional compliance requirements.
With Observata, your migration from Dynatrace to Elastic is structured, controlled, and operationally secure ensuring continuity, minimal disruption, and long-term stability.
Dynatrace Environment Inventory
Identify monitored applications, services, environments, and active integrations.
Telemetry Coverage Review
Review metrics, traces, logs, and custom events currently collected.
Dashboard and Service Views
Document key dashboards, service views, and operational dependencies.
Retention and Data Scope
Capture data retention policies and historical visibility requirements.
User Access and Roles
Review user roles, permissions, and access boundaries.
to Elastic Efficiently
Historical Data Export
Extract historical telemetry data where required for compliance or analysis.
Incremental Ingestion
Ingest data into Elastic in controlled batches to maintain integrity.
Parallel Data Flow
Run Dynatrace and Elastic ingestion concurrently during transition.
Validation and Comparison
Validate telemetry consistency across both platforms.
Schema Alignment
Map Dynatrace telemetry fields to Elastic Common Schema (ECS).
Pipeline Configuration
Configure ingestion pipelines for metrics, traces, and logs.
Data Enrichment
Apply enrichment for service context, environment, and ownership.
Index and Lifecycle Policies
Define index templates and retention rules for performance and cost control.
During Transition
Dual-Platform Monitoring
Operate Dynatrace and Elastic side by side during migration phases.
Operational Readiness Checks
Validate dashboards, alerts, and workflows before cutover.
Progressive Cutover
Reduce Dynatrace dependency incrementally as Elastic stabilises.
Access Controls
Align user roles and permissions across Dynatrace and Elastic.
Data Protection
Ensure encryption in transit and at rest throughout migration.
Audit and Logging
Maintain audit trails for observability data access and changes.
Regulatory Alignment
Validate GDPR and regional compliance requirements.
Our Unique Observata Credit Model
Service Credits
GB of RAM is the most accurate representation of observability resource consumption and is managed by Observata to ensure predictable usage and cost.
Service Credits
Freely Utilize Credits
Clear Reporting
Frequently Asked Questions
Yes. Elastic provides APM, distributed tracing, and service-level visibility. Most organisations use the transition to redesign performance workflows rather than replicate existing dashboards one-to-one.
Timelines vary by environment size and telemetry volume. Initial migration phases are often completed within weeks, with parallel operation and optimisation continuing thereafter.
Through a parallel-run approach. Both platforms operate side by side, allowing validation of dashboards, alerts, and workflows before decommissioning Dynatrace.
Dashboards and alerts are reviewed and selectively translated into Elastic, often with refinement. This process focuses on preserving operational intent rather than replicating visuals exactly, resulting in cleaner and more relevant observability views.
Elastic aligns cost to infrastructure usage and data lifecycle policies. Observata supports cost modelling and ongoing optimisation as part of the service.