Practice — Migration Consulting
Migration off your legacy platform.
Done properly. No drama.
Splunk licensing too expensive. LogRhythm too brittle. Datadog costs spiraling. Algolia charging for relevance you can build yourself. We have executed these migrations before — and we know exactly what breaks if you skip the planning phase.
We know the platform you are leaving.
Every migration is different — but the source platform shapes everything: the data model, the query logic, the detection rules, and the gaps nobody tells you about until you are mid-cutover. We have been inside all of these.
Security & Log Management
Licensing costs, rigid parser requirements, and brittle correlation rules that nobody wants to touch. We migrate your detection content, log pipelines, and dashboards into Elastic SIEM — with detection rules that actually fire correctly.
APM, Metrics & Infrastructure
Per-host pricing that scales faster than your infrastructure, dashboards your engineers avoid, and an agent footprint nobody fully understands. We migrate your traces, metrics, and log pipelines into Elastic Observability with a clean architecture your team owns.
Search & Discovery Platforms
Managed platform fees for relevance you could tune yourself, index schemas locked to SaaS abstractions, and limited control over ranking logic. We migrate your index architecture, relevance configuration, and query layer into Elasticsearch — performant and yours.
Six phases. Every one documented.
We do not skip phases to ship faster. The technical migration is only one part — stakeholder enablement, runbook creation, and validation gates are built into the plan from the start.
Discovery & Inventory
We map every data source, pipeline, alert rule, dashboard, and integration in your current environment. Nothing is assumed — we document what is actually running, not what the vendor told you was running.
Target Architecture Design
We design the Elastic cluster architecture, index strategy, ILM policy, shard topology, and ingestion pipeline layout for your specific data volumes, retention requirements, and query patterns.
Content Conversion
Detection rules, saved searches, dashboards, and queries are translated from the source platform’s syntax into Elastic equivalents. We use proven conversion tooling customized for your environment — not manual rewrites.
Parallel Running & Validation
Before cutover, both systems run in parallel. We validate alert parity, data fidelity, and dashboard accuracy against defined acceptance criteria. Cutover only happens when the gate passes.
Cutover & Stabilisation
We manage the production cutover, monitor cluster health in the critical first period, and address any issues that surface under real load. We stay engaged through stabilisation — not just until go-live.
Team Enablement & Handoff
Your engineering and stakeholder teams are trained on the new environment. Every pipeline, rule, and dashboard is documented. We hand off capability — not a dependency on us.
Two ways in. Both scoped.
Not every migration starts the same. Some teams know exactly what they want moved and need an engineer to do it. Others need a clear technical assessment before committing to a full project.
Migration Advisory
We spend time inside your current environment — auditing your source platform, data volumes, detection content, and integration dependencies. We come back with a complete migration plan: phased, costed, and honest about risk.
- Full source platform audit & dependency inventory
- Target architecture recommendation with rationale
- Phase-by-phase migration plan with timeline estimate
- Written findings — yours to take to procurement or leadership
Migration Delivery
A named senior engineer executes the migration end-to-end — content conversion, pipeline build, parallel validation, production cutover, and team handoff. Scoped, bounded, documented. You work with the engineer doing the work.
- Named senior engineer assigned before work begins
- Full six-phase execution — technical and enablement
- Proven conversion tooling customized for your environment
- Runbooks, documentation, and team training at handoff
From first message to cutover.
Four steps. No filler.
You describe the platform you are leaving and what you need to preserve. A senior engineer responds within one business day and work starts once the scope is signed.
Tell us your source platform
Tell us what you are running, what you are paying, and what is driving the move. Email or form. No template required.
We scope the migration
A senior engineer assesses your environment and comes back within one business day with a clear read on complexity, timeline, and what a full migration would actually involve.
We agree on the plan
We align on phases, deliverables, named engineer, and timeline before any work begins. Signed scope — no moving targets.
We execute & hand off
The engineer migrates, validates, documents, and trains your team. You leave with a production Elastic environment and the knowledge to run it — no black box.
We have done this before. Dozens of times.
Migration projects fail when the technical team skips discovery, underestimates content conversion, or hands off before the cluster is stable. We have seen every failure mode — because we have cleaned up after them.
Tell us what you are leaving.
Describe the platform, roughly how much data you are moving, and what is driving the decision. A senior engineer responds within one business day with an honest technical read — no sales pitch, no proposal template.