Seamless Grafana to Elastic migration

Transition your infrastructure from Grafana to Elastic without operational friction, engineering overhead or upfront costs.

Request your custom migration plan

The frictionless route to Elastic

Grafana is highly effective for metrics visualisation. However, scaling diverse telemetry environments introduces data management and retention complexity across disparate backends.

Expanding your logs, traces and metrics across multiple storage layers requires significant operational overhead. This makes it difficult to maintain performance and cross-domain correlation.

Our senior engineers execute your end-to-end migration at no additional charge, ensuring a structured, zero-downtime transition without operational friction or engineering overhead.

Why engineering teams move from Grafana to Elastic

While Grafana acts as a helpful visualisation layer on top of separate databases, Elastic provides a single, unified data store designed to handle all telemetry types at scale. Migrating removes the engineering tax of managing a fragmented monitoring stack.

Grafana complexity

Decoupled backends: Queries independent stores like Prometheus, Loki and Tempo, requiring each layer to be scaled and maintained separately.

Operational complexity: Managing multiple storage layers creates significant overhead as logging, tracing, and metric requirements grow.

Hidden scaling costs: Low initial friction, but long-term costs rise as performance and correlation depend on optimising individual backends.

Elastic solution

Unified observability: Correlates logs, metrics, traces and continuous profiling on a single data layer for seamless, cross-domain visibility.

Standardised data: Automatically correlates all incoming telemetry with native OTel support across cloud, hybrid, and air-gapped environments.

Predictable resource costing: No ingestion volume penalties. Deep historical telemetry remains instantly queryable without costly restoration.

Architectural advantages

Elastic is built to handle high-volume telemetry across modern IT environments, reducing operational overhead and improving query performance.

Horizontal scaling

Add nodes to expand capacity smoothly without reconfiguring pipelines.

Queryable cold tiers

Access deep historical data instantly without the need for manual indexing.

OTel-first ingestion

Collect telemetry from multiple sources with zero vendor lock-in.

Native profiling

Obtain code-level insights for precise performance optimisation.

Elastic Common Schema

Standardise and correlate data across all infrastructure sources.

Decoupled compute & storage

Optimise cost by separating ingestion, storage and compute.

Embedded AI/ML

Surface operational anomalies and automate alerting across all live telemetry streams.

Centralised dashboards

Visualise logs, metrics, traces and profiling inside a single Kibana interface.

Unified security analytics

Run real-time threat detection and SIEM capabilities across your entire log estate without cost penalties.

Complimentary migration blueprint

Our senior engineers follow a structured, low-risk framework covering everything from initial inventory to live production cutover.

We execute every phase at no additional cost to you. This includes migration planning, pipeline configuration, data transfer and dashboard conversion.

1. Source inventory & readiness assessment

Before modifying pipelines, we conduct a comprehensive audit of your Grafana environment to map out the transition architecture:

Backend mapping

Audit Prometheus, Loki and Tempo data stores to map metric types, labels and log formats.

Infrastructure monitoring

Track host, container and orchestration metrics with intelligent alerting and dashboards.

Dashboard & visualisation review

Document critical operational views, variables, and query patterns to prepare for Kibana replication.

Retention analysis

Capture your exact historical data access requirements and compliance scope.

Access governance

Review existing user access, team permissions and data source boundaries.

2. Pipeline standardisation & ECS alignment

We build high-efficiency ingestion paths to transform disparate backend telemetry into a unified format:

Schema standardisation

Align distinct metric labels and log formats for seamless cross-domain querying.

Pipeline configuration

Set up Logstash, Elastic Agent, or OpenTelemetry to stream logs, traces and metrics.

Contextual enrichment

Tag cloud environments, service names and geographic regions during ingestion.

3. Parallel ingestion & dual-platform operation

To ensure complete continuity and data validation, we operate both platforms concurrently:

Dual routing

Configure ingestion paths to feed data into both your existing backends and Elastic simultaneously.

Dashboard parity

Recreate your Grafana dashboards inside Kibana, ensuring operational view consistency for teams.

Integrity validation

Automate checks to verify data completeness, query performance and alerting accuracy.

4. Security governance & progressive cutover

Production workloads are transitioned systematically with zero disruption to active monitoring:

Access alignment

Replicate and enforce your internal role-based access control (RBAC) configurations within Elastic.

Data security

Verify end-to-end SSL/TLS encryption for data in transit and native encryption at rest.

Managed cutover

We gradually shift your daily workflows, team alerts and automated systems over to Elastic, safely closing down your old Grafana footprint.

Outperform with Elastic

Transition to a high-performance data architecture without upfront overhead. Gain total transparency, expert engineering and a pricing model that scales perfectly with your growth.

Let’s talk architecture