RBAC (api/internal/authz) is live on /query and /dashboards, backed by a new enterprise/ module (session issuance, audit logging, RBAC storage, OIDC/SAML protocol wiring) that core never imports -- only calls over HTTP. Found and fixed a real cross-tenant vulnerability in dashboards (no tenant_id filtering at all) while writing the threat model doc. Two things are explicitly NOT done, documented rather than hidden: tenant isolation for log data itself (/query still shares one ClickHouse connection and Tantivy index across every tenant -- RBAC controls who can query, not what a query can see), and human SSO login (protocol wiring exists, no HTTP handler calls it yet). See docs/security/threat-model.md and docs/phase-4-runbook.md. Also adds deploy/ (Go Operator + Helm chart, validated offline only -- no cluster was reachable in this environment).
173 lines
12 KiB
Markdown
173 lines
12 KiB
Markdown
# Sentry Architecture
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> **Status:** Updated through Phase 4. The component map/diagram below is
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> still the Phase 0 request path (agent → ingest → ClickHouse → api →
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> web) — it was never redrawn for the full-text search, dashboards/
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> alerting, or enterprise/ additions; see each phase's runbook
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> (`/docs/phase-N-runbook.md`) for what was actually verified when it
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> shipped. The component responsibilities table and the sections below
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> the diagram are kept current. Phase 0's original framing ("draft,
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> correct as needed") still applies to anything not yet built.
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## Mission
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Open-core, Kubernetes-native centralized logging platform. Compete with
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Splunk on features; win on cost-per-GB, a modern language stack, and
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multi-tenant RBAC that's actually honest about its guarantees.
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## Component map
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```
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┌──────────┐ gRPC/mTLS ┌──────────┐ produce ┌───────────┐ consume ┌────────────┐
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│ agent │ ────────────▶ │ ingest │ ──────────▶ │ Redpanda │ ────────▶ │ ingest │
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│ (Rust) │ │ (Go) │ │ (Kafka API)│ │ consumer │
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└──────────┘ └──────────┘ └───────────┘ │ (Go) │
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└──────┬─────┘
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│ batch INSERT
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▼
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┌────────────┐
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│ ClickHouse │
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└─────┬──────┘
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│ SQL
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┌───────────▼───────────┐
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│ api (Go: gRPC+REST) │
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└───────────┬───────────┘
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│ REST
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┌───────────▼───────────┐
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│ web (SvelteKit) │
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└────────────────────────┘
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```
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Decision (confirmed 2026-08-12): Redpanda stays in the Phase 0 path. The
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`ingest` service's gRPC front end produces to Redpanda rather than writing
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ClickHouse directly; a separate consumer path reads from Redpanda and batches
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inserts into ClickHouse. This exercises the real transport layer from day
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one instead of deferring it, and keeps Kafka credentials off the edge agent.
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## Storage / query split
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- **ClickHouse** is the analytical store of record for structured log data:
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timestamp, host, service, severity, message, plus a `Map(String,String)`
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for arbitrary structured fields. Partitioned by day, ordered by
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`(service, timestamp)`.
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- **Tantivy** (Phase 1) will provide full-text indexing over the `message`
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field and unstructured payloads, queried out-of-band from ClickHouse and
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joined by a log identifier. Not built in Phase 0.
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- **Schema-on-write** using OTel semantic conventions as the default log
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schema; schema-on-read fallback for unstructured/raw text that doesn't fit
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the structured columns (captured via the `Map` column and/or a raw
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passthrough field).
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- **Postgres** (Phase 3) holds control-plane config only — dashboards,
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panels, notification targets, alert rules/state, delivery log, and
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(Phase 4) tenants/users/tenant_memberships/audit_log. Never log data;
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ClickHouse/Tantivy stay the only place a log record itself lives. See
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`/docs/phase-3-dashboard-design.md` for why ClickHouse's MergeTree
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family isn't a fit for this (no real row-level locking/transactional
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read-modify-write).
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This split is not to be changed without discussion — see CLAUDE.md.
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## Component responsibilities
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| Component | Responsibility |
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|---|---|
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| `agent` (Rust, musl) | Tail a log file or read journald; parse RFC 5424 syslog with raw passthrough fallback; batch; ship via gRPC/mTLS to `ingest`. Windows (ETW/Event Log) code exists but is unverified on real Windows hardware — see `/agent/README.md`. |
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| `proto` | Shared `.proto` contracts for agent↔ingest and api↔search gRPC, versioned independently of either side. |
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| `transport` | Redpanda docker-compose + topic provisioning scripts. No application code. |
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| `ingest` (Go) | gRPC server accepting agent connections; produces normalized OTel-log-like records to Redpanda; separate consumer reads from Redpanda and batch-writes to ClickHouse. No tenant concept — every record lands in the one shared `logs` table regardless of source (see "Tenant isolation" below). |
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| `storage` | ClickHouse schema migrations + docker-compose for local/homelab. |
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| `search` (Rust, Phase 1) | Consumes the same Redpanda topic `ingest` does (own offset tracking), builds a Tantivy full-text index over `message`, serves matches over gRPC. One shared index for every tenant today — see "Tenant isolation" below. |
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| `api` (Go) | gRPC + REST gateway. `POST /query` compiles pipe-syntax or raw SQL to one IR, executed across ClickHouse/Tantivy (`/docs/query-language-design.md`). `internal/dashboards` is CRUD only — panel query execution happens client-side, reusing `/query`. `internal/authz` (Phase 4) enforces RBAC via a network call to `enterprise-auth`, never an import. |
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| `alerting` (Go, Phase 3) | Evaluates alert rules on an interval, calls `api`'s `POST /query` (via a `RoleService` credential once Phase 4 auth is configured — see `/docs/phase-4-isolation-design.md`'s alerting↔api gap), delivers firing/resolved notifications (webhook/Slack/PagerDuty). |
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| `enterprise` (Go, commercial license, Phase 4) | SSO (OIDC/SAML protocol mechanics), RBAC storage (`internal/rbacstore`), session/service-token issuance (`internal/session`), the append-only audit log (`internal/audit`), and `enterprise-auth`'s HTTP surface (`/internal/authorize`, `/auth/features`). Never imported by core — see "Licensing boundary" below. Does **not** yet include per-tenant ClickHouse/Tantivy connection routing or the OIDC/SAML login HTTP handlers — see `/docs/security/threat-model.md`. |
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| `web` (SvelteKit, static build) | Query bar, dashboards, alerts, and (Phase 4) a settings page that renders SSO status via a runtime capability check (`GET /auth/features`) rather than bundling enterprise-licensed components. |
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| `cli` (`sentryctl`) | `ping`, `query`, `dashboards` (list/get/apply), `alerts` (list/get/apply). `$SENTRYCTL_TOKEN`, if set, is forwarded as a Bearer credential (Phase 4). |
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| `deploy` | A Helm chart covering every `docker-compose.yml` service, plus (Phase 4) a small Go Operator managing one CRD (`Tenant`) that provisions a per-tenant ClickHouse credential Secret. Never applied to a live cluster in the environment this was built in — see `/deploy/README.md`'s verification section before trusting it. |
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## Tenant isolation model (Phase 4)
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Full design rationale: `/docs/phase-4-isolation-design.md`. Full honest
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accounting of what's actually enforced vs. designed-only:
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`/docs/security/threat-model.md` — read that before assuming any claim
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below holds for log data specifically.
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**As designed:** one dedicated ClickHouse database + narrowly-granted
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user per tenant (never the shared `default`/admin credential), one
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dedicated Tantivy index directory per tenant, `system.*` access revoked
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per tenant, connections resolved from an immutable per-tenant map (never
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a shared pool with session-level `USE`). Isolation lives at the
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**connection layer** — every query, compiled or raw SQL, is forced
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through a tenant-scoped connection the database's own access control
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enforces — not at the query-compiler layer, since Phase 2's raw-SQL
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escape hatch is opaque to any compiler-injected filter.
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**As built, through Phase 4 task 8:**
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- Role-based access control (`api/internal/authz`) is live on `/query`
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and `/dashboards`, resolved via `enterprise-auth` over HTTP.
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- Control-plane tenant scoping is live for dashboards
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(`api/internal/dashboards`'s store filters every query by the
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authenticated identity's tenant, never a client-supplied field).
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- The `alerting`↔`api` service-identity gap (task 2's finding) is
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closed: a `RoleService` credential, distinct from every human role.
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- **The connection-layer isolation itself — the actual design above —
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is not built.** `api/internal/querylang/executor.SQLRunner`/
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`SearchClient` and `search`'s gRPC service carry no tenant field
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anywhere. There is one shared ClickHouse connection and one shared
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Tantivy index for every tenant. RBAC controls *who* can run a query;
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nothing yet controls *what data* that query can see.
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- `deploy/operator`'s `Tenant` CRD manages only the K8s-side artifact (a
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credential Secret) — it doesn't call ClickHouse or provision anything
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ClickHouse-side. `enterprise/internal/tenantprovision` (the piece that
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would) is unbuilt.
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Building `enterprise/internal/chrunner` + `internal/searchclient` (the
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tenant-scoped implementations of the two interfaces above) and wiring
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them into `api/internal/queryapi.Handler` in place of the single shared
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connection `api/cmd/api/main.go` opens today is the single largest
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remaining gap between this system and the isolation model it was
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designed to have.
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## Licensing boundary
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AGPLv3 for core + agents. Enterprise features (SSO, RBAC storage, audit
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logging) live under `enterprise/` (commercial license stub, added
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Phase 4). AGPL code must never import from `enterprise/` — enforced in
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CI by `hack/check-tenant-boundary.sh`, which greps every build for the
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import edge. Where core needs a decision only `enterprise/` can make
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(is this request authorized, what SSO is configured), it calls
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`enterprise-auth` over plain HTTP instead
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(`api/internal/authz.HTTPAuthorizer`, `web`'s `GET /auth/features`) —
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the same "network boundary, not import boundary" shape `/alerting`↔`api`
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already used before `enterprise/` existed.
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## Non-negotiables carried from CLAUDE.md
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- Rust agent: statically linked musl, `x86_64-unknown-linux-musl` and
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`aarch64-unknown-linux-musl`, no glibc runtime deps.
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- Windows support via native ETW/Event Log API, not WSL — designed
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(Phase 1) but still unverified on real Windows hardware.
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- Every UI action maps to a documented REST/gRPC call — no UI-only logic.
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- Pinned stack (see CLAUDE.md table) — no substitutions without discussion.
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## Explicitly out of scope (current, Phase 4)
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Per `/CLAUDE.md`'s Phase 4 non-goals and `/docs/security/threat-model.md`:
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deny-override permission grants, a data retention/deletion policy for
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deprovisioned tenants, general multi-cluster orchestration in `/deploy`,
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and any defense against a privileged ClickHouse/Postgres administrator —
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every isolation and audit-integrity guarantee here is a structural
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defense against application-layer bugs, not an operational control.
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## Open questions for you to resolve
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- Retention/TTL policy for the ClickHouse `logs` table — not specified yet,
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deferred until storage sizing is a real concern.
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- Exact OTel log schema field mapping (which OTel resource/log attributes
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map to which ClickHouse columns) — Phase 0 uses a minimal subset
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(timestamp, host, service, severity, message, attributes map); full
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mapping deferred.
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- mTLS certificate provisioning/rotation story for agents — Phase 0 will use
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a static dev CA and manually issued certs; production PKI design is
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out of scope here.
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