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Migrate from Grafana to Elastic with Expert-Led Services 

Migration is included in our service model
Streamline your observability stack with deep visibility across logs, metrics, and traces while managing licensing, migration, and operations with Elastic. 
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migrate from Grafana

Why are Teams Gradually Transitioning to Elastic? 

Grafana is widely used for metrics visualisation, but growing observability requirements introduce data management and retention complexity.  Elastic unifies ingestion, storage, and analysis in a single platform, enabling scalable cross-domain visibility across logs, metrics, and traces.

Grafana Limitations 

  • Relies on external systems for data ingestion, storage, and retention 
  • Operational complexity increases as data sources grow 
  • Historical analysis depends on backend capabilities and cost 
  • Data consistency varies across
    sources 
  • Cross-domain correlation requires additional tooling 
  • Manages multiple platforms and
    integrations 

Elastic Solutions 

  • Ingests, stores, and analyses observability data natively 
  • Reduces toolchain sprawl across logs, metrics, and traces 
  • Cold and frozen data remains queryable when needed 
  • Enables consistent analysis across teams and environments 
  • Correlates metrics, logs, traces, and events in one place 
  • Simplifies access control, lifecycle management, and governance. 

Grafana Limitations 

  • Relies on external systems for data ingestion, storage, and retention 
  • Operational complexity increases as data sources grow 
  • Historical analysis depends on backend capabilities and cost 
  • Data consistency varies across sources 
  • Cross-domain correlation requires additional tooling 
  • Manages multiple platforms and integrations 

Elastic Solutions 

  • Ingests, stores, and analyses observability data natively 
  • Reduces toolchain sprawl across logs, metrics, and traces 
  • Cold and frozen data remains queryable when needed 
  • Enables consistent analysis across teams and environments 
  • Correlates metrics, logs, traces, and events in one place 
  • Simplifies access control, lifecycle management, and governance. 

For organisations consolidating observability capabilities, Elastic provides a platform that extends beyond visualisation into ingestion, storage, and analysis. 

Elastic Advantages That Empower Broader Observability 

Elastic is designed to handle high-volume telemetry in modern IT environments. Its architecture reduces operational overhead, improves query performance, and enables teams to scale confidently as data volumes grow.   

Horizontal scaling 

Add nodes to expand capacity without reconfiguring pipelines

Queryable cold & frozen tiers 

Access historical data instantly without rehydration

Open Telemetry-first ingestion 

Collect telemetry from multiple sources without vendor lock-in

Native profiling

Obtain code-level insights for performance optimization

Elastic Common Schema (ECS) 

Standardize and correlate data across multiple sources

Flexible separation of ingestion, storage, & compute 

Optimize cost and performance independently

Embedded AI/ML capabilities

Forecast anomalies and automate alerting across telemetry streams
Observata supports organisations transitioning from dashboard-centric observability to Elastic implementations designed to scale with data, teams, and operational scope.

Centralized dashboards through Kibana 

Visualize logs, metrics, traces, and profiling in one interface

Embedded AI/ML capabilities

Forecast anomalies and automate alerting across telemetry streams
Observata supports organisations transitioning from dashboard-centric observability to Elastic implementations designed to scale with data, teams, and operational scope.

Centralized dashboards through Kibana 

Visualize logs, metrics, traces, and profiling in one interface
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Ensuring a Seamless Transition to Elastic 

Transitioning from Grafana to Elastic requires careful preparation to maintain visibility, data integrity, and operational continuity. Observata follows a structured transition approach covering inventory, data pipelines, schema design, and security controls.

Data Source Inventory

Identify metrics, logs, and traces visualised through Grafana.

Dashboard Review

Document critical dashboards and operational views.

Data Backend Assessment

Review Prometheus, Loki, Tempo, and other data sources.

Retention and Scope

Capture data retention and historical access requirements.

Access and Roles

Review user access and dashboard permissions.

Metric Ingestion

Ingest metrics from Prometheus or OpenTelemetry into Elastic.

Log and Trace Ingestion

Consolidate logs and traces into Elastic-native pipelines.

Parallel Ingestion

Run Grafana and Elastic ingestion concurrently during transition.

Validation Checks

Validate data completeness and consistency.

Schema Alignment

Map telemetry fields to Elastic Common Schema (ECS).

Pipeline Configuration

Configure ingestion pipelines for metrics, logs, and traces.

Data Enrichment

Apply contextual enrichment for services and environments.

Lifecycle Policies

Define index and retention policies for performance and cost control.

Dual-Platform Operation

Operate Grafana and Elastic in parallel during transition.

Dashboard Parity

Recreate or refine dashboards in Kibana.

Progressive Cutover

Gradually reduce Grafana dependency as Elastic stabilises.

Access Controls

Align user roles and permissions across platforms.

Data Protection

Ensure encryption in transit and at rest.

Audit and Logging

Maintain audit trails for observability access.

Regulatory Alignment

Validate GDPR and regional compliance requirements.

Elastic delivers a unified observability platform, and Observata ensures the migration from Grafana is completed efficiently with structured operational support. 

Our Unique Observata Credit Model

The Observata credit-based model charges only for the capacity in use. All service delivery is included as part of ongoing service operations, with no project fees, stage-based pricing, or activity-based charges – ensuring predictable and controllable cost as observability requirements evolve.
Migrations and the required Elastic licensing are included as part of Observata’s service operations. No separate, transitional, or additional subscriptions are required.
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Service Credits

A single unit covering required licensing and service operations, measured solely by consumed GB of RAM per month.

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

A single unit covering required licensing and service operations, measured solely by consumed GB of RAM per month.

Freely Utilize Credits

Credits roll forward or can be drawn forward to accommodate changing priorities and requirements. 

Clear Reporting

Ongoing reporting provides full visibility into credit consumption, supporting financial control and forward planning. 
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Frequently Asked Questions