See across every vendor. Own every byte.
LeashStack correlates findings across Datadog, Prometheus, Grafana, and everything else you already run — without asking for your data. Keep your stack, or don't. Either way, the intelligence is ours; the telemetry stays yours.
p99 latency breaching SLO on checkout-api
Connection-pool saturation on payments-db is starving checkout-api of downstream capacity — p99 latency crossed the 1.2s SLO at 14:08, with error rate following 90s later. The pool exhausted 4 minutes after the checkout-api v2.3.1 deploy, which doubled outbound query concurrency without a matching connection-limit bump. Four signals across Datadog, CloudWatch, Loki and Grafana converge on the same root cause.
Evidence · 4 correlated signals
Observability bills went up. Trust in the alerts went down.
Most platform teams pay six or seven figures a year for tools that still can't tell them what actually mattered last night. Switching vendors means re-instrumenting everything, so most teams don't — they just add another tool on top and hope the noise cancels out. It doesn't.
The bill keeps climbing
Per-GB ingest pricing means the cost of visibility scales with the size of the problem you're trying to see — the worse things get, the more it costs to look.
The alerts get ignored
Static thresholds don't know the difference between a quiet Sunday and a launch day. Engineers learn which pages to ignore — and sometimes the wrong one gets ignored too.
The lock-in gets worse
Every dashboard, every runbook, every muscle memory your team builds is one more reason a vendor migration never quite makes it onto the roadmap.
Pick your path — not the vendor's path for you.
Where you start with LeashStack depends on where you already are. Nobody has to rip anything out on day one.
Run Grafana, Prometheus, and Loki — or ELK — with LeashStack's intelligence layer on top instead of an expensive SaaS vendor underneath. Same visibility, a fraction of the bill, nothing proprietary underneath.
LeashStack filters what actually needs to ship before it ever leaves your environment. Less volume, same coverage, a bill that finally makes sense.
Layer LeashStack on top of whatever you already run. Get cross-vendor correlation none of your existing tools were built to do alone.
The intelligence moves. The data doesn't.
Nothing here requires trusting us with your telemetry. It requires trusting us with the findings.
Telemetry stays in your VPC, in the tools you already run — Grafana, Prometheus, Loki, ELK, or ClickHouse.
An OpenTelemetry Collector normalizes what's already flowing through Prometheus remote_write, Loki, Fluent Bit, or native OTLP.
Our control plane connects out, correlates across every source, and hands back findings — never a copy of your raw data.
Bring your own LLM, embeddings, or vector store — or use ours. No cloud SDK is baked into the core.
The findings are step one. The memory is the moat.
These aren't live yet — they're what we're building toward, in the order we're building them. Every one comes from a decade of actually sitting in the incident, not a whiteboard.
Incident Memory
Every resolved incident — signature, timeline, fix — joins a retrieval corpus. A new incident opens already knowing: "3 similar past incidents. The fix that worked. The one that didn't."
Change Intelligence
Not "latency spiked at 14:32" — "latency spiked 4 minutes after PR #812 changed the pool config." Root cause with a name and a line number, correlated against deploys, config, and change records.
The Prevention Loop
Prevention items get tracked, not filed away — and audited: "This incident's prevention item was never implemented. This is the recurrence it would have caught."
We're working with a small number of design partners.
Precision on your data isn't instant — it's tuned over the first 60 to 90 days as LeashStack learns your environment. In exchange for an hour or two a week reviewing findings, you get founding-partner pricing and a direct line to what gets built next.
Not a waitlist — a conversation.