Seamless Dynatrace to Elastic migration

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

Request your custom migration plan

The frictionless route to Elastic

Dynatrace excels at automated application monitoring. However, scaling enterprise environments introduces significant architectural complexity and spiralling license costs across expanding cloud footprints.

Managing high-volume tracking metrics across rigid consumption models introduces substantial budget unpredictability. This often forces engineering teams to limit retention times or compromise on data depth to manage monthly overheads.

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 Dynatrace to Elastic

While Dynatrace provides powerful out of the box automation, its reliance on a proprietary ecosystem creates severe architectural complexity and soaring consumption fees at scale.

Moving to Elastic consolidates your monitoring footprint into an open, search native foundation. Giving your teams granular visibility under a predictable, resource-based pricing model.

Dynatrace limitations

Unpredictable pricing models: Consumption-based pricing becomes incredibly difficult to forecast as cloud environments scale and change.

Abstracted data: Details are often obscured by auto-abstracted screens, making deep, cross-domain root-cause analysis difficult.

Proprietary ecosystem lock-in: Closed data formats and proprietary tooling tie your operations to a single vendor’s ecosystem forever.

Prescriptive, rigid dashboards: Pre-made visualisations limit how different internal teams can manipulate, view and analyse their data.

Elastic solutions

Predictable resource-based pricing: Resource-based pricing and lifecycle controls enable predictable observability spend.

Unified, deep observability: Access raw logs, metrics, traces and events within a single platform for granular, unabstracted analysis.

Open platform foundation: Native support for OpenTelemetry (OTel) and open ingestion paths completely eliminates vendor lock-in.

Fully customisable dashboards: Build tailored queries, alerts and visualisations aligned precisely to what individual teams need.

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.

Flexible ingestion

Connect any data source with our flexible API and extensive library of pre-built connectors.

Embedded AI/ML

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

Unified security analytics

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

The managed 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 & baseline assessment

Before modifying active pipelines, we conduct a comprehensive audit of your Dynatrace environment to map out the transition architecture. This discovery phase is typically completed within the first few weeks:

Telemetry coverage review

Document the metrics, traces, logs and custom events currently collected by your existing agents.

Dashboard & service views

Map out critical application performance views, dependencies and business-critical alerts.

Retention analysis

Capture data access and regulatory compliance needs to model your future Elastic storage costs.

Access governance

Review existing user roles, team permissions and internal data boundaries.

2. OpenTelemetry standardisation & ECS alignment

We build high-efficiency ingestion paths to transform abstracted telemetry into a unified format. This phase replaces legacy monitoring with native Elastic tracking, distributed tracing and code-level profiling:

Total data sovereignty via OTel

Deploy OTel. As an open standard, you own your pipelines, eliminating vendor lock-in.

Schema standardisation

Map telemetry fields directly to the Elastic Common Schema for seamless cross-domain querying.

Pipeline configuration

Set up OTel or Elastic Agents to stream logs, metrics and traces with optimal resource utilisation.

Data enrichment

Tag structural metadata like cloud environments, microservices and team ownership during ingestion.

3. Parallel ingestion & dual-platform operation

To ensure complete business continuity and strict data validation, we operate both platforms simultaneously side-by-side:

Parallel data flow

Configure ingestion paths to feed live telemetry into both Dynatrace and Elastic concurrently, allowing validation without service disruption.

Dashboard parity

Rebuild your Kibana monitoring views. Our engineers improve operational intent, delivering highly relevant, actionable observability views.

Integrity validation

Run automated checks to verify data completeness, query performance and alerting accuracy across environments before decommissioning legacy tools.

4. Security governance & progressive cutover

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

Access alignment

Replicate and enforce your internal Role-Based Access Control (RBAC) configurations natively within Elastic.

Data protection

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

Managed cutover

Gradually shift team workflows, alerts and anomalies to Elastic as the environment stabilises, safely reducing your legacy infrastructure 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