Seamless Splunk to Elastic migration

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

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The frictionless route to Elastic

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

We execute your end-to-end migration at no extra charge, delivering a zero-downtime transition handled by senior engineers.

Splunk provides comprehensive visibility, but scaling ingestion-based pricing inflates budgets and makes cold data access difficult to manage.

Elastic resolves this by charging strictly for resource usage, delivering true cost predictability alongside a unified, horizontally scalable architecture.

Why engineering teams move from Splunk to Elastic

While Splunk provides comprehensive visibility across enterprise environments, its legacy ingestion-based pricing models create severe financial strain and artificial data caps as telemetry volumes grow.

Moving to Elastic unifies your security and observability data onto a resource-based costing structure, allowing your teams to ingest, store and search everything without scaling penalties.

Splunk limitations

Ingestion-based pricing: Costs inflate linearly as your telemetry volumes grow, making comprehensive visibility financially unsustainable.

Restricted cold data: Legacy tiered storage requires slow, costly data rehydration just to access historical telemetry.

Limited profiling: Lacks native, continuous code-level profiling, leaving critical performance bottlenecks hidden.

Vendor lock-in: A proprietary ecosystem restricts data portability and limits infrastructure flexibility.

Elastic solution

Resource-based costing: Achieve absolute predictability with pricing based on compute and storage, eliminating ingestion volume penalties.

Searchable frozen tiers: Keep deep historical data instantly queryable without the operational overhead or cost of manual indexing.

Native universal profiling: Optimise performance continuously at the code level with built-in, low-overhead profiling.

OpenTelemetry-native: Future-proof your architecture with native, out-of-the-box support for open frameworks and integrations.

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

Optimise cost by separating ingestion, storage and compute.

Embedded AI/ML

Surface operational anomalies and automate alerting across 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.

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. Inventory & readiness assessment

Before moving data, we execute a complete audit of your existing Splunk footprint to map out the transition timeline:

Index & schema audit

Identify all active indexes, source types and field extractions.

Volume assessment

Estimate daily ingestion volume, historical retention and storage footprints.

Searches & alerts mapping

Recreate searches, alerts and reports as native Elastic rules, preserving thresholds and workflows.

Infrastructural mapping

Map out existing forwarders, HTTP Event Collector (HEC) tokens, user roles and access permissions.

2. Dual-run ingestion & data movement

To guarantee zero operational downtime and absolute data integrity, we run both platforms concurrently:

Parallel feed model

Route data to both systems simultaneously, configuring Splunk Universal Forwarders to output straight to Logstash or Beats.

Historical data export

Extract your historical data from Splunk and load it into Elastic in validated batches, maintaining strict consistency checks at every step.

3. Pipeline optimisation & ECS standardisation

We build high-efficiency streaming pipelines to ensure data flows seamlessly without loss or transformation errors:

Schema alignment

Align Splunk source types, fields and timestamp formats with the Elastic Common Schema.

Advanced filtering

Configure Logstash or Beats to extract, transform and enrich data with geolocation and asset IDs.

Storage management

Define index mappings, retention policies and ILM rules to optimise search performance.

4. Staging & incremental production rollout

Production workloads are transitioned systematically to mitigate risk:

Staging environments

Mirror production in a staging environment to thoroughly test migration paths and data integrity.

Phased migration

Move data progressively, starting with low-risk datasets before transitioning critical workloads.

Change management

Enforce version control, structured approval workflows and explicit rollback plans.

5. Continuous security & compliance

Your security posture is maintained throughout the entire transition:

Data encryption

Enforce SSL/TLS encryption for data in transit, backed by native encryption at rest across all tiers.

Access control

mplement granular user roles and access policies in Elastic aligned with your standards.

Regulatory compliance

Monitor setups to ensure continuous compliance with GDPR, HIPAA and other frameworks.

Traceable audit logging

Track the migration using Elastic’s native audit features to monitor access and modifications.

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.

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