The open design question named in the last three commits' README --
"a sentry_dashboard_panel resource (or a panels list block on this one)"
-- is resolved: separate resource, matching api/dashboards.Handler's own
shape (a panel is created/updated/deleted independently of its parent
dashboard via its own endpoints, never by rewriting the dashboard's
whole panel list). A nested list block would have forced every panel to
be rewritten on any single panel's change, hiding fine-grained diffs a
separate resource shows naturally -- the more idiomatic Terraform
pattern for independently-lifecycled child resources, and the one that
matches what the API actually does.
Unlike sentry_alert_rule/sentry_notification_target, this resource
supports a real in-place Update -- api/dashboards.Handler actually has a
PUT /dashboards/{id}/panels/{panelId}. Only dashboard_id forces
RequiresReplace: UpdatePanel's SQL matches WHERE id = $panelID AND
dashboard_id = $dashboardID, so changing dashboard_id through the
existing panel's URL wouldn't move it, it would just fail to match --
there's no API operation for "move a panel to a different dashboard."
Panels have no standalone GET endpoint -- only GET /dashboards/{id},
which includes the full panels array. client.go's new getPanel fetches
the parent dashboard and finds the panel by ID within it, returning the
same *apiError{StatusCode: 404} shape a direct GET would whether the
dashboard itself or just the panel within it is gone, so isNotFound
works identically either way. This also means a bare panel ID isn't
enough to import from -- ImportState takes "dashboard_id/panel_id" and
splits on the last "/", the one resource here with a composite import
identifier.
query_language never accepts "sql" for panels specifically -- confirmed
in api/dashboards's own validatePanel ("dashboards only support
pipe-syntax queries, since the dashboard time-range picker is injected
as leading query terms"), a real constraint from the API this client
doesn't re-validate client-side (same "let the API be the one source of
truth for validation" posture the other resources already take), but
documented in the schema so it's not a surprise 400 from Create.
sentry_dashboard_panel gets a matching data source too
(dashboard_id + id both Required, unlike the other three data sources'
single Required id, since getPanel itself needs both).
Verified: client tests are real httptest.Server round trips, including
getPanel finding the right panel within a real dashboard response and
returning a recognizable not-found both when the panel is missing and
when the parent dashboard itself is gone. Schema validation needs no
Terraform binary. TestAccDashboardPanelResource_basic and
TestAccDashboardPanelDataSource_basic are real acceptance tests,
skip-gated by TF_ACC same as the other six -- the resource test proves a
genuine in-place update (a title change, no plancheck needed since
in-place update is the default expectation here, unlike the
create/destroy-only resources). Not run against a live stack in this
environment, same disclosed gap as everything else Docker-gated in this
repo.
24 KiB
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. Status:sentryctlhas been built out phase by phase since Phase 3. The Terraform provider (/terraform) only exists as of this note -- four resources (sentry_dashboardandsentry_dashboard_panel, both full CRUD, panels as their own resource rather than a nested block since the API manages them independently of their parent dashboard;sentry_alert_ruleandsentry_notification_target, both create/destroy only --alertinghas noPUT /rules/{id}orPUT /targets/{id}to update against), each paired with a read-only data source, built on HashiCorp'sterraform-plugin-framework, reusing the exact same REST contractssentryctl dashboards apply/web's dashboard export andsentryctl alerts applyalready use. Tenant/RBAC resources are real, disclosed future work -- see/terraform/README.mdfor the full accounting of what is and isn't built, and the same "written but not run against a live stack" verification caveat as everything else Docker-gated in this repo.
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 warningsmust 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 atenant_idcolumn so part of Phase 4's retrofit doesn't require a migration + backfill — butalert_stateanddelivery_logdo not (an inconsistency found during Phase 4 planning, not caught at the time); Phase 4 addstenant_idto those two and backfills via a join throughalert_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,
/deployremains 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. This closing move exposed
the ClickHouse side's own gap by comparison — chwriter.Registry's
writer map was still a startup-only snapshot with no refresh at all, a
real asymmetry once Tantivy's tracker refreshed every minute and
ClickHouse's didn't — so Registry.StartRefreshing (new) closes that
too: same one-minute interval, same last-known-good posture on a failed
refresh, opening connections for newly-active tenants and closing ones
no longer active. Both engines now share the same active-tenant
staleness bound instead of one being materially staler than the other.
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
deprovisioningstate, 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.