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Scale & SLOs

Capacity notes for the managed Evitrus cloud on evitrus.io. Closed beta is a single-region, small footprint stack — not a 50M-events/month reference deployment. Numbers below are what we commit to today; larger scale is a capacity project, not a silent assumption.

Environments

EnvironmentRoleTopology (today)
Managed cloudCustomer SaaS on *.evitrus.ioSingle Kubernetes cluster, single-node ClickHouse, Postgres for identity

There is no separate “largest customer” public figure yet — beta traffic is well below plan caps.

Soft capacity (what the product enforces)

LimitFreeBasicEnterprise
Included events / month10 000 (hard cap)50 000300 000
Retention14 days730 days730 days
Per-request export (GET /events/export)50 000 events maxsamesame

Optional per-key and per-org hourly rate limits can be set in the product (leaky bucket). When unset, ingest is not artificially throttled beyond plan monthly quotas and process resources.

Latency targets (working SLOs)

These are targets for the managed API, not guarantees in a contract yet. Measured server-side at the ingest / query handlers under normal beta load.

PathTarget (p95)Notes
POST /ingest (≤100 events)< 100 msAccept + append to ClickHouse; 202 after durable write; does not wait for correlation
GET /changes and GET /events (one page)< 100 msTime window + keyset cursor; limit default 100 / max 1000
Change projection lag< 2 sIngest 202 → Change visible on /changes; async consumers only
GET /compliance/evaluate< 100 msProjection lookup, or bounded fetch by service+commit

Events are write-visible on 202 (GET /events). Changes are a projection and may lag by up to the projection SLO.

What we do not claim yet

  • Sustained events/sec at 50M+/month — not load-tested publicly
  • Multi-AZ ClickHouse HA or cross-region read replicas
  • Unbounded (unpaginated) search over a whole tenant

Rough ingest throughput

On the current single-node ClickHouse and API pod sizing used for the managed cloud, we expect comfortable sustained ingest on the order of tens to low hundreds of events per second for mixed exporter traffic, assuming payloads stay near the documented Evidence Event shape. Bursts above that may queue at the client or hit HTTP timeouts — exporters should retry with backoff.

Treat this as an order-of-magnitude guide for beta sizing, not a marketing benchmark. Ask for a load-test window if you need a written Enterprise capacity plan.

When you outgrow MVP

  1. Raise plan / usage-based billing (monthly allowance).
  2. Use export + windowed pulls if you need offline archives.
  3. For Enterprise: dedicated capacity review (CH sizing, rate limits, CMEK — see Security & residency).

Last updated: 2026-08-16. We will revise this page when prod HA topology ships or when we publish measured load-test results.

Evitrus — observability for auditability