SuperAPI AI Directory

keboola-architecture

Deployment & operations

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Updated 10-15 23:44

About this skill

Keboola Platform Architecture (C4)

A snapshot of the Keboola platform's C4 architecture model. Use it to answer impact analysis, dependency, and topology questions without scanning the source code of every service.

The model uses three C4 levels:

  • L1 — software systems Keboola interacts with (platforms, satellites, cloud vendors)
  • L2 — independently deployed containers (services) inside the Keboola platform
  • L3 — components inside a container plus its inter-service and cloud-vendor edges

Source of truth and freshness

The authoritative content lives in keboola/platform-architecture-and-concepts, folders c4/ and c4-docs/ ONLY — every other folder in that repo (apis/, clients/, concepts/, services/) and the root README.md are obsolete and must be ignored.

This skill ships a point-in-time snapshot under references/. For verification of edge cases or when the answer is uncertain, fetch the current version with ./scripts/sync.sh (requires gh auth with access to the private repo).

When to read which file

Question File
Outbound dependencies of service X references/c4/l3/<X>.dsl (inter-service) + references/c4/l3/<X>-external.dsl (cloud)
Who calls service X (inbound) grep c4/l3/*.dsl for X's component IDs — inbound edges live in the caller's file
Human-readable findings for service X references/c4/l3/<X>.md
Full container inventory references/c4/l2/containers.dsl and references/c4/list of services.md
Top-level systems + personas references/c4/model/model.dsl
Domain rules that can't be inferred from code references/c4/service-knowledge.md
Methodology, level rules, design decisions references/c4-docs/c4-approach.md
Granular cloud-vendor services + IDs references/c4/l3/cloud-resources.dsl
Views and styles references/c4/views/views.dsl

Start with references/c4-docs/c4-approach.md if the question is how the model is structured rather than what it contains.

Caveats (read before drawing conclusions)

  • Idealized model. Each service shows relationships to all cloud variants it supports, even though a given stack uses only one cloud at a time. Impact analysis is therefore also idealized — real impact on any single stack may be smaller.
  • One-directional scanning. The model is built by scanning each service's outbound deps. Inbound edges become reliable only after the calling service has been scanned. Check the "Current Status" table in c4-approach.md for coverage gaps.
  • No deployment-time mechanisms. Helm hooks, migration Jobs, and schema seeders are intentionally omitted.
  • Shared infrastructure ≠ shared resource. A shared node (Service Bus, KMS, database) on the diagram does not imply shared queues/keys/schemas — the edge label is what matters.
  • L2 hides cloud vendors. Cloud dependencies appear at L1 (aggregated) and L3 (granular), never at L2. "Runs on Kubernetes" is implicit everywhere.

Working directory context

Scripts in this skill auto-detect their own location. The user is in their project root when invoking the skill — do not cd into the skill directory. Use absolute paths or $SKILL_DIR-relative paths when reading references/.

Updating the snapshot

./scripts/sync.sh         # pulls latest c4/ and c4-docs/c4-approach.md from the upstream
                          # repo via `gh` and overwrites references/. Requires gh auth.

The snapshot drifts from upstream over time. If a question hinges on a recently changed service edge, re-run sync.sh before answering.