cairnobs/CLAUDE.md

Project: Sentry — Distributed Log Aggregation & Observability Platform

Mission

Build an open-core, Kubernetes-native centralized logging platform that rivals Splunk on features but wins on cost-per-GB, modern language stack, and honest multi-tenant RBAC. Full architecture spec is in /docs/architecture.md — read it before touching any component. Do not deviate from the storage/query split described there without flagging it to me first.

Non-negotiable constraints

• Distro-agnostic Linux agent: must run identically on RHEL/Debian/Arch/SUSE derivatives via a statically-linked musl binary. No glibc runtime deps.
• Windows support via native ETW/Event Log API, not a WSL shim.
• AGPLv3 for core + agents. Enterprise module (SSO/multi-tenancy/compliance) lives in a separate enterprise/ directory under a commercial license stub — keep the boundary clean from day one, don't let AGPL code import from it.
• Schema-on-write with OTel semantic conventions as the default schema, with schema-on-read fallback for unstructured text.
• Every UI action must correspond to a documented REST/gRPC call. No UI-only logic. CLI (sentryctl) and Terraform provider are first-class, not afterthoughts.

Tech stack (pinned — do not substitute without discussion)

Component	Language/Tool
Edge agent	Rust, musl target
Transport	Redpanda (Kafka API)
Ingest/parse	Go
Analytical store	ClickHouse
Full-text index	Tantivy (Rust)
Control plane/API	Go, gRPC + REST gateway
Frontend	SvelteKit + TypeScript
Deployment	Kubernetes Operator (Go, kubebuilder), Helm, docker-compose for local/homelab

Repo conventions

• Monorepo, one top-level dir per component (see structure below).
• Rust: workspace-based, cargo clippy --all-targets -- -D warnings must pass.
• Go: standard go vet + golangci-lint, no globals for shared state.
• Every component ships with: unit tests, a README.md, and a Dockerfile using distroless or scratch base images where feasible.
• Conventional commits. Every PR-sized change should be a logically complete, independently revertible unit.
• Prefer boring, well-understood dependencies over novel ones. This is infrastructure software; operators need to trust it.

What "done" looks like for Phase 0 (MVP)

Status: shipped. A single log line, generated on a Linux host by the Rust agent, flows: agent → Redpanda → Go ingest service → ClickHouse, and is queryable via a minimal SQL endpoint and visible in a bare-bones SvelteKit table view. Verified end-to-end on real hardware, not just in CI — see /docs/phase-0-runbook.md. No alerting, no multi-tenancy, no dashboards — that discipline held for the whole phase.

What "done" looks like for Phase 1

Status: shipped. A Windows Event Log entry and a Linux journald entry are both queryable via SQL (the ClickHouse path) and via free-text search (the Tantivy path), from the same UI, within a few seconds of being generated. Verified end-to-end on the live stack, including the same record_id coming back from both query paths for the same record — see /docs/phase-1-runbook.md.

ETW and WEF (Windows Event Forwarding) were designed in this phase but not required to be running for "done": ETW ships behind a feature flag most environments won't enable (it needs elevated privileges), and WEF's receiver-side was explicitly deferred rather than built. Only the Event Log source needed to actually be running end-to-end, and did. The Windows-specific agent code itself (EvtSubscribe, ETW, service registration) remains unverified on real Windows — no Windows toolchain existed anywhere in the environment this was built in; flagged prominently in /agent/README.md and the runbook.

What "done" looks like for Phase 2

A single query bar in the web UI and a single sentryctl query command can express filter + free-text + stats in one query (e.g. service=api | where status>=500 | stats count by host | sort -count, or message:"connection refused" | stats count by host), execute correctly against both ClickHouse and Tantivy in one compiled plan, and return in well under a second for a 1M-row fixture dataset (rough benchmark, not a formal SLA — see /docs/phase-2-runbook.md for the actual measurement). Raw ClickHouse SQL remains available as an escape hatch, compiling to the same execution plan/IR as the pipe syntax so performance doesn't depend on which syntax a query uses.

Non-goals for this phase (same "resist scope creep" discipline as every phase so far): no alerting, no dashboards, no multi-tenancy — this phase is the query layer only. The two separate placeholder pages/endpoints from Phase 0/1 (/query raw-SQL-only, /search free-text-only) are retired, replaced by one /query endpoint and one query page.

See /docs/query-language-design.md for the grammar, IR, and ClickHouse/Tantivy routing strategy, and /docs/query-language-reference.md for the user-facing syntax reference once built.

What "done" looks like for Phase 3

Status: shipped. A user can build a multi-panel dashboard from saved Phase 2 queries (at least a line chart panel and a table panel, working end-to-end against live data), save an alert rule that fires a Slack webhook when a condition is met (threshold comparison, or "absence" — the query returned zero rows in its own time window), and see the delivery attempt logged — all from the web UI, without touching the API directly. See /docs/phase-3-dashboard-design.md and /docs/phase-3-alerting-design.md for the data models and the alerting evaluator's firing/resolved state machine, and /docs/phase-3-runbook.md for the live-stack verification, including a load test of the alert evaluator against ~500 concurrent rules.

This phase adds PostgreSQL as a new pinned-stack component (see the dashboard design doc for why ClickHouse can't do this job — dashboards and alert state need real row-level locking and transactional read-modify-write, which ClickHouse's MergeTree family doesn't provide), scoped strictly to control-plane config: dashboards, panels, notification targets, alert rules, alert state, delivery log. Log data itself stays on ClickHouse/Tantivy only, unchanged.

Non-goals for this phase (same discipline as every phase so far):

• No multi-tenancy enforcement and no enterprise/ module work — single tenant/org assumed. Most new tables (dashboards, alert_rules, notification_targets) carry a tenant_id column so part of Phase 4's retrofit doesn't require a migration + backfill — but alert_state and delivery_log do not (an inconsistency found during Phase 4 planning, not caught at the time); Phase 4 adds tenant_id to those two and backfills via a join through alert_rules.id, and — per /docs/phase-4-isolation-design.md — tenant isolation itself turned out to live at the ClickHouse/Tantivy connection layer, not via these columns at all, since Phase 2's raw-SQL escape hatch can never be covered by a row filter regardless of which tables carry one.
• No raw-SQL dashboard panels (time-range injection isn't reliable against arbitrary SQL) — pipe-syntax queries only.
• No per-group/multi-row threshold alerting (e.g. "alert separately per host") — a threshold rule's query must resolve to a single row.
• No debounce on the way down — a firing alert resolves on the first false evaluation, no symmetric "stay firing for N more minutes" hold.
• No Kubernetes Operator/Helm deployment work — still docker-compose, /deploy remains stubbed.

What "done" looks like for Phase 4

Status: in progress, not shipped. RBAC enforcement (api/authz), the alerting↔api service-identity credential, tenant-scoped dashboards, append-only audit logging, and — since the second pass on this phase — real per-tenant ClickHouse provisioning and query routing (enterprise/internal/tenantprovision, enterprise/internal/chrunner, wired into a new enterprise/cmd/enterprise-api binary alongside plain api/cmd/api) are all built and tested — real integration tests exist for the ClickHouse pieces, but this environment lost Docker/database access partway through the phase, so only the audit-logging guarantees were actually confirmed against a live database; the rest is untested beyond "compiles, and skips cleanly when no live database is configured" (see /docs/phase-4-runbook.md's verification-status section). Human SSO login is now built for both protocols (enterprise/internal/loginhandler: GET /auth/oidc/login + GET /auth/oidc/callback, and GET /auth/saml/login + POST /auth/saml/acs via enterprise/internal/saml's crewjam/saml wiring, both issuing a real session cookie after resolving tenant/role from tenant_memberships) — genuinely verified, unlike the ClickHouse pieces, via a real fake IdP for each protocol that performs actual cryptographic signing and verification (coreos/go-oidc's oidctest for OIDC, crewjam/saml/samlidp for SAML — loginhandler_test.go and saml_test.go, all passing, including the full login round trip and negative paths for both), though never tried against a real external IdP or through a running enterprise-auth container. Writing the SAML test caught and fixed two real bugs in internal/saml.ParseResponse: a missing r.ParseForm() call that would have silently broken every real ACS POST, and email-attribute matching that missed the standard LDAP "mail" OID IdPs send by default. Tantivy per-tenant index routing is now built too (search/src/registry.rs + enterprise/internal/searchclient) — genuinely verified, like the OIDC login flow: Tantivy is an embedded library, not a networked service, so the isolation probe (three tenants, same search term, scoped search returns only that tenant's document) actually ran in this environment, no Docker needed. That same Docker-free advantage is what caught a real bug while closing the last of Phase 4 task 8's four adversarial probes (a mid-provisioning tenant must be refused, not served): search/src/registry.rs's IndexRegistry opened-or-created an index for any syntactically-valid tenant_id, meaning a query against a tenant that exists in rbacstore but isn't active yet would have silently returned zero results from a freshly-created empty index instead of being refused -- chrunner's ClickHouse routing had the equivalent guarantee for free (a mid-provisioning tenant simply isn't in its startup-built connection map) but Tantivy, a separate process with no Postgres access, had no way to know. Fixed with a new enterprise/internal/searchclient. TenantChecker (backed by rbacstore.TenantIsActive); both halves of the fix verified Docker-free (chrunner_test.go's and searchclient_test.go's TestSearchRefusesMidProvisioningTenant-shaped tests) — see api/queryapi/tenant_isolation_gap_test.go for the full accounting of all four probes, now all closed. The deployment- topology gap that briefly was the largest one is now closed for both Helm and docker-compose: deploy/helm/sentry/templates/api.yaml/ enterprise-api.yaml are mutually exclusive on the same enterprise.enabled flag that turns on RBAC/audit/SSO, rendering to the same Service name/port either way — a Helm-deployed cluster can't accidentally run the wrong one. docker-compose.yml's api/ enterprise-api services are now the same mutually-exclusive choice, gated behind COMPOSE_PROFILES (.env checks in single-tenant as the zero-config default) and sharing a host port/network-alias trick so alerting/web need no conditional logic either way — verified via docker compose config (renders/validates without a daemon, confirms the two never both appear for one profile selection), not an actual docker compose up in this environment. Per-resource dashboard grants (the RBAC matrix's "(own/granted)" qualifier) are now enforced too: api/dashboards.PermissionStore (core interface) implemented by enterprise/internal/rbacstore. DashboardPermissions, wired in only by enterprise-api — an Editor can now only edit/delete a dashboard they created or were granted access to, not every dashboard in their tenant; managing grants themselves is stricter still (creator/Admin/Owner only, closing a self-escalation path). Verified against a fake store (api/dashboards/handler_test.go); real integration tests exist but haven't run against a live Postgres, same disclosed gap as the rest of this phase's Postgres-backed pieces. sentryctl dashboards permissions list|grant|revoke is now the CLI surface for this — PUT/DELETE /dashboards/{id}/permissions/{userId} previously had no caller but Go tests and curl. deploy/operator's Tenant CRD and enterprise-api -provision-tenant are now unified too, deliberately lightweight rather than making the K8s controller a second real actor: -provision-tenant stays the sole caller of ClickHouse/rbacstore, and (via a new enterprise/internal/tenantcrd, gated on TENANT_CRD_NAMESPACE) syncs its real result into the CRD — a real credential Secret, not the previous placeholder that authenticated against nothing, and status fields the reconciler derives Phase/Ready from instead of independently guessing "Active" the moment a Tenant object exists. The tenant-picker is now fully built, backend and frontend: an identity with more than one tenant_memberships row gets a real GET /auth/memberships/POST /auth/select-tenant round trip (a short-lived pending-login token, distinct from a real session by both Go type and JWT claim name — a real token-confusion bug this design's own tests caught before it shipped) instead of the flat refusal Phase 4 shipped with earlier, and web/src/routes/select-tenant is the page that actually calls it — see the Phase 4 exit-criteria paragraph below for what changed to make that verifiable in this environment. Ingest tenant-awareness — the gap this section used to call "undesigned" — now has a real, if intentionally partial, design: ingest (AGPL core) gained an optional TenantResolver (ingest/internal/grpcserver), a per-tenant bearer credential an agent presents (minted via enterprise-auth -create-ingest-credential-tenant=<id>, validated over the network via a new POST /internal/authorize-ingest endpoint — never an enterprise/ import, same boundary shape as api/authz.Authorizer), and the resolved tenant ID is attached to every record as a tenant_id Kafka message header before it's produced. ClickHouse write-routing is now built too: enterprise/cmd/enterprise-ingest (another "second binary," mirroring enterprise-api) reuses ingest/consumer's own flush loop with enterprise/internal/chwriter.Registry swapped in as the writer — one dedicated ClickHouse connection per tenant, routing each batch's records by their tenant_id tag, fail-closed on an untagged or unprovisioned tenant. Building it found and fixed a real bug: tenantprovision.ProvisionClickHouse originally granted a tenant's ClickHouse user SELECT only, which would have made every real per-tenant write fail with a permission error — fixed by granting SELECT, INSERT (one credential, both directions; no cross-tenant boundary is crossed by also allowing INSERT within a tenant's own database). Tantivy write-routing is now built too — search/src/consumer.rs (a completely independent Redpanda consumer, not called through ingest or enterprise-ingest at all: a different codebase and process) now resolves each record's tenant_id header through the same IndexRegistry the read side already used, and routes the write there instead of always into the default index. Unlike the ClickHouse side, this needed no "second binary": IndexRegistry already lives in this AGPL-core binary (Tantivy has no grant system to gate a commercially-licensed credential behind, so there was never an import-boundary reason to split it out), so read and write share one registry directly. The periodic Tantivy commit now commits every tenant index that's seen a write, not just the default one (IndexRegistry::commit_all). The active-tenant gap this same change originally disclosed is now closed too: search/src/tenants.rs's ActiveTenantTracker polls a new GET /internal/active-tenants endpoint on enterprise-auth (search has no Postgres access, unlike chwriter.Registry's direct rbacstore query or the read side's searchclient.TenantChecker, so this needed a network call — the same "network boundary, not import boundary" shape ingest's TenantResolver already uses against the same service, authenticated with a RoleService credential the same way alerting authenticates to api) and consumer.rs refuses any tagged record whose tenant isn't in the polled allowlist. Off unless both ENTERPRISE_AUTH_URL and ENTERPRISE_AUTH_SERVICE_TOKEN are set (same "off unless configured" default as everything else optional in this codebase); when they are, startup blocks on the first fetch succeeding and later refresh failures keep serving the last-known-good set rather than clearing it. Verified with real HTTP round trips against a hand-rolled TCP test server in this environment, no live enterprise-auth needed. The tenant-picker page is now built too: web/src/routes/select-tenant calls GET /auth/memberships/ POST /auth/select-tenant via fetch(..., {credentials: 'include'}) (new $lib/api.ts functions), which needed a second CORS posture alongside the wildcard-friendly one enterprise-api already had — api/httpserver.WithCredentialedCORS, set to a literal origin via a new CORS_ALLOWED_ORIGIN on enterprise-auth — since browsers refuse to honor a wildcard Access-Control-Allow-Origin on a credentialed request. Genuinely verified in a real browser in this environment: a throwaway Node server standing in for enterprise-auth's exact wire contract (including its plain-text http.Error bodies, not JSON) on a different origin than web's dev server, driven through the full cross-origin pending-login-cookie round trip, a real click choosing a tenant, and the post-selection redirect — plus the missing/expired- pending-login error path — with no Docker or live Postgres/IdP needed, since the point was exercising web's own fetch/CORS/cookie wiring, not enterprise-auth's internals (already covered by that package's own tests). See /web/README.md's "Tenant picker" section for the exact setup. What's left in this phase now is entirely the caveats already disclosed above, not an unbuilt feature: the ClickHouse/Postgres-backed pieces have never run against a real database in this environment, and nothing here has been tried against a real external IdP or a real running multi-container deployment. Full accounting: /docs/security/threat-model.md; step-by-step verification procedure (not yet run against a live cluster in this environment): /docs/phase-4-runbook.md. The rest of this section describes the exit bar this phase is aiming at, not a completed state.

Two tenants can be provisioned with SSO (OIDC or SAML), each with their own users, roles, dashboards, and alert rules, fully isolated at the ClickHouse/Tantivy connection layer — not by a row filter — with adversarial integration tests proving no cross-tenant data leakage, including via the raw-SQL escape hatch and ClickHouse's own system.* tables. A tenant admin can see a query audit trail for their tenant, backed by append-only storage a compromised application credential cannot alter (enforced by database grants, not just convention) and periodically anchored outside the database so tampering is detectable even against a privileged attacker. See /docs/phase-4-isolation-design.md for the tenant isolation model and why it lives at the connection layer, /docs/phase-4-rbac-design.md for the role/permission model, and /docs/security/threat-model.md for the auth flows and audit-log integrity guarantees, written for a prospective enterprise customer's security team.

The tenant-isolation, provisioning, SSO, and RBAC-enforcement mechanisms live entirely in enterprise/ (commercial license), confirmed explicitly rather than assumed: AGPL core (/api, /alerting, /web) stays genuinely single-tenant, with no multi-tenant mechanism present at all — enterprise/ supplies tenant-scoped implementations of core's already-shipped querylang/executor.SQLRunner/SearchClient interfaces rather than core growing tenant awareness. Query-compiler-level "compile time" enforcement, as originally proposed, turned out not to be achievable in any module once Phase 2's opaque raw-SQL passthrough is accounted for — the honest, implemented guarantee is that every code path (compiled query or raw SQL) is forced through a tenant-scoped database connection/index that the database's own access control enforces, not a compiler-injected filter.

Non-goals for this phase (same discipline as every phase so far):

• No deny-override permissions — per-resource grants (e.g. a specific user getting edit access to one dashboard) are additive only; a full allow/deny ACL system is future work.
• No data retention/deletion policy design for tenant deprovisioning — the provisioning state machine includes a deprovisioning state, but what actually happens to a deprovisioned tenant's data is a separate, not-yet-designed compliance question.
• No general multi-cluster orchestration in /deploy — scoped to proving the per-tenant ClickHouse/Tantivy isolation model works, not a fully general multi-cluster system.
• No protection against a privileged ClickHouse/Postgres administrator — the isolation and audit-log guarantees in this phase are structural defenses against application-layer bugs and injection, not against someone with database superuser access; that's an operational control, out of scope here and named explicitly, not silently assumed away.

When in doubt

Ask before: changing the pinned stack, adding a new external dependency that pulls in a large transitive tree, or making an architectural decision that isn't already specified in /docs/architecture.md.