Leave expensive observability. Keep everything that works.
ExitGraph migrates platform teams off Datadog and Splunk onto open, cost-efficient stacks — preserving every dashboard, alert, and search workflow they depend on. No re-instrumentation. No broken cutovers.
The problem
The migration everyone avoids
Switching observability platforms is not a tooling decision — it is an operational risk decision. Teams stay locked in because the cost of a failed cutover feels higher than the cost of another renewal.
Data gravity
Years of metrics, traces, and logs create inertia. Moving means rebuilding institutional context.
Dashboard sprawl
Hundreds of dashboards accumulated over years. Nobody knows which ones matter until something breaks.
Alert dependency
On-call workflows depend on specific monitor configurations. Changing them puts incident response at risk.
Search workflow lock-in
Operational teams rely on saved searches and query patterns that do not translate one-to-one.
Cutover fear
One failed migration attempt poisons the well for years. Teams need guaranteed, phased rollback.
Historical context loss
Incident investigation requires years of historical data. Teams cannot afford to lose the ability to look back.
Offerings
Two structured exit paths
Purpose-built off-ramps for the two most common observability lock-in scenarios. Each includes inventory, parity mapping, mirror-mode cutover, and rollback.
Process
Five phases. Full rollback at every step.
A structured, repeatable process that eliminates guesswork. Every phase produces a deliverable. Every phase is rollback-safe.
Assess
Inventory every dashboard, monitor, alert, and search. Map dependencies and ownership.
Catalog
Score each asset for criticality, complexity, and translation feasibility.
Translate
Convert dashboards, alerts, and searches to the target stack with parity validation.
Mirror
Dual-write telemetry to both systems. Validate parity in production with real traffic.
Cut over
Switch reads service-by-service. Retire legacy with one-click rollback.
Mirror mode
Dual-write. Validate in production. Roll back in seconds.
Mirror mode is the safety mechanism behind every ExitGraph cutover. Telemetry flows to both legacy and target simultaneously. You validate parity with real traffic before switching a single read.
Dual-write
OTel collectors fan out to both backends. Zero data loss during transition.
Automated validation
Side-by-side comparison of dashboards, alerts, and query results across systems.
Instant rollback
One-click rollback to legacy at any phase. No data loss, no configuration drift.
Phased cutover
Switch reads service-by-service. Start with low-risk services, build confidence.
Parity
Nothing your team depends on gets left behind
ExitGraph maps, translates, and validates every operational artifact — dashboards, alerts, searches, runbooks, ownership, and compliance views.
Foundation
Built on OpenTelemetry. No proprietary lock-in.
OpenTelemetry is the CNCF standard for collecting metrics, traces, and logs. It decouples instrumentation from backends, making telemetry data portable for the first time.
By standardizing on OTel, you eliminate vendor-specific agents, gain the ability to switch backends without re-instrumenting, and future-proof your observability investment. Every ExitGraph migration is built on this foundation.
AI Copilot
Grounded in your services. Not generic chat.
The ExitGraph copilot answers questions using your actual services, alerts, runbooks, incidents, parity plan, and cutover state. Every response cites its sources.
Example queries
→What changed before checkout latency spiked?
→Which alerts are redundant after migration?
→Summarize cutover risks for the executive review
Get started
Start with a fixed-fee assessment
Get a complete picture of your exit path — inventory, parity map, savings model, cutover plan, and risk register — before committing to a migration.
Design partners
Teams that made the switch
Platform engineering leaders who used ExitGraph to move off legacy observability without disrupting their teams.
\"We had 340 Datadog dashboards and no idea which ones mattered. ExitGraph inventoried everything, identified the 60 that were critical, and translated them with full parity. Our on-call team never noticed the switch.\"
Sarah Chen
VP Platform Engineering
Series C Fintech (450 engineers)
\"The mirror-mode cutover was the key. We ran both systems in parallel for three weeks, validated every alert, and switched reads on a Tuesday morning. Zero incidents. Our CFO still talks about the savings.\"
Marcus Rivera
Director of SRE
E-commerce Platform (200+ services)
\"We were paying Splunk $90K/month for search that three people used daily. ExitGraph translated our critical saved searches to OpenSearch and gave us a copilot that actually understands our runbooks.\"
Priya Patel
Head of Observability
Healthcare SaaS (SOC 2, HIPAA)
Names and details anonymized at partner request.
Want to become a design partner? Get in touch.
FAQ
Questions we hear from platform teams
Will we lose historical data?
No. ExitGraph maintains read-only access to your legacy platform throughout the migration. Critical historical data is exported and archived in object storage with configurable retention — your team keeps full investigative capability.
Do we need to re-instrument our services?
Not upfront. ExitGraph uses OpenTelemetry collectors and adapters to receive telemetry from your existing agents. You can migrate to native OTel instrumentation at your own pace after the cutover.
How does rollback work?
Every phase is rollback-safe. During mirror mode, your legacy system continues receiving all telemetry. Rolling back is a configuration change — not a data migration. It takes seconds, not days.
What percentage of dashboards actually translate?
Typically 70-85% translate automatically. The remainder requires manual review, usually for vendor-specific widgets or complex query patterns. The assessment gives you an exact parity report before you commit.
How long does a full cutover take?
8-16 weeks depending on the number of services and source complexity. The assessment phase takes 2-3 weeks and produces a detailed timeline with milestones.