Deliverables

The curriculum covers what an architect should know. This covers what an architect actually hands over: 55 artifacts, each with a worked example, a note on when it is worth producing, who reads it, and the ways it usually goes wrong. Filter by the artifact's type, the kind of engagement that calls for it, the stack or industry it is drawn against, or the audience it is written for.

Identify the deliverable → 42 diagrams, shown one at a time with the answer withheld. Nothing to submit.

10 of 55 deliverables shown.

flowchart LR
  commit(["commit to main"]) --> build

  subgraph ci["Continuous Integration"]
    direction TB
    build["build<br/><i>pinned deps, hermetic</i>"]
    unit["unit tests<br/><i>&lt; 4 min</i>"]
    scan["SAST + dependency<br/>+ secret scan"]
    sign["sign artifact<br/>+ emit SBOM"]
    build --> unit --> scan --> sign
  end

  sign --> reg[("artifact registry<br/><i>immutable, digest-addressed</i>")]

  subgraph cd["Continuous Delivery"]
    direction TB
    dev["deploy dev<br/><i>auto</i>"]
    ctest["contract tests"]
    stage["deploy staging<br/><i>auto</i>"]
    nft["performance +<br/>resilience suite"]
    dev --> ctest --> stage --> nft
  end

  reg --> dev
  nft --> gate{"release gate<br/><i>automated checks +<br/>change record</i>"}
  gate -->|"pass"| canary["canary 5%<br/><i>15 min bake</i>"]
  gate -->|"fail"| stop(["blocked"])
  canary --> analyse{"error rate and<br/>latency within SLO?"}
  analyse -->|"yes"| full["progressive rollout<br/><i>25% → 50% → 100%</i>"]
  analyse -->|"no"| rollback(["automatic rollback"])
Behavioural View

CI/CD Pipeline Diagram

The path from commit to production as ordered stages, showing what each one proves, what it produces, and where a human is still in the loop.

stateDiagram-v2
  [*] --> Pending: order placed
  Pending --> Authorised: payment approved
  Pending --> Rejected: payment declined
  Pending --> Expired: no response in 24h
  Authorised --> Picking: stock allocated
  Authorised --> Cancelled: customer cancels
  Picking --> Shipped: consignment handed to carrier
  Picking --> Backordered: stock unavailable
  Backordered --> Picking: stock replenished
  Backordered --> Cancelled: customer cancels
  Shipped --> Delivered: carrier confirms
  Shipped --> Lost: no scan in 14 days
  Delivered --> Returned: return accepted
  Rejected --> [*]
  Expired --> [*]
  Cancelled --> [*]
  Delivered --> [*]
  Returned --> [*]
  Lost --> [*]
Behavioural View

State Machine Diagram

The legal states of one entity and the events that move it between them, which is where illegal transitions become visible.

flowchart LR
  a["Idea accepted<br/><i>work 2d</i>"]
  w1(["wait 9d<br/>backlog"])
  b["Refinement<br/><i>work 1d</i>"]
  w2(["wait 4d<br/>awaiting design"])
  c["Build<br/><i>work 5d</i>"]
  w3(["wait 3d<br/>awaiting review"])
  d["Code review<br/><i>work 0.5d</i>"]
  w4(["wait 6d<br/>awaiting test env"])
  e["Test<br/><i>work 2d</i>"]
  w5(["wait 11d<br/>awaiting release window"])
  f["Release<br/><i>work 0.5d</i>"]

  a --> w1 --> b --> w2 --> c --> w3 --> d --> w4 --> e --> w5 --> f
  f --> tot["Work 11d &middot; Wait 33d<br/>Lead time 44d &middot; Flow efficiency 25%"]
Behavioural View

Value Stream Map

Every step from request to delivery with its work time and its wait time, exposing that most of the elapsed time is queueing.

Flow Metrics Discovery
flowchart TB
  users(["Users"]) --> dns["Global DNS<br/><i>latency routing + health checks</i>"]

  subgraph r1["Region: primary"]
    direction TB
    lb1["Load Balancer<br/><i>public</i>"]
    subgraph az1["Zone A"]
      n1["Node Pool<br/><i>api ×3, worker ×2</i>"]
    end
    subgraph az2["Zone B"]
      n2["Node Pool<br/><i>api ×3, worker ×2</i>"]
    end
    subgraph az3["Zone C"]
      n3["Node Pool<br/><i>api ×2, worker ×1</i>"]
    end
    db1[("Primary DB<br/><i>synchronous replica in Zone B</i>")]
    lb1 --> n1
    lb1 --> n2
    lb1 --> n3
    n1 --> db1
    n2 --> db1
    n3 --> db1
  end

  subgraph r2["Region: secondary"]
    direction TB
    lb2["Load Balancer<br/><i>warm</i>"]
    n4["Node Pool<br/><i>api ×2, scaled down</i>"]
    db2[("Read Replica<br/><i>asynchronous — RPO 30s</i>")]
    lb2 --> n4 --> db2
  end

  dns --> lb1
  dns -.->|"failover only"| lb2
  db1 -.->|"async replication"| db2
Deployment & Infrastructure View

Deployment Diagram

Which runtime artifact runs on which infrastructure, in which zone and region, and what fails when one of those boundaries fails.

flowchart LR
  subgraph e1["Ephemeral / PR"]
    direction TB
    a1["scaled to 1<br/>mocked externals<br/>synthetic data<br/><i>proves: it builds and unit-passes</i><br/>auto-destroy 24h"]
  end
  subgraph e2["Dev"]
    direction TB
    a2["shared<br/>real internal deps<br/>synthetic data<br/><i>proves: integration wiring</i><br/>anyone deploys"]
  end
  subgraph e3["Staging"]
    direction TB
    a3["prod-shaped topology<br/>real deps · sandbox externals<br/>masked prod-like data<br/><i>proves: contracts + performance</i><br/>pipeline only"]
  end
  subgraph e4["Production"]
    direction TB
    a4["full scale · multi-AZ<br/>real data<br/><i>proves: nothing — it serves</i><br/>pipeline + gate"]
  end
  e1 --> e2 --> e3 --> e4
  note["Same artifact promoted throughout.<br/>Config differs; the image digest does not."]
Deployment & Infrastructure View

Environment Topology

Which environments exist, what each one proves, what data it holds and who may deploy to it.

flowchart TB
  subgraph prod["Cluster: prod-eu (regional, 3 AZ)"]
    direction TB
    cp["Control plane<br/><i>managed · private endpoint</i>"]
    subgraph pools["Node pools"]
      direction LR
      np1["system<br/><i>taint: CriticalAddonsOnly</i>"]
      np2["general<br/><i>3–30 nodes · spot 40%</i>"]
      np3["memory<br/><i>taint: workload=memory</i>"]
      np4["gpu<br/><i>taint: workload=gpu</i>"]
    end
    subgraph ns["Namespaces"]
      direction LR
      n1["team-orders<br/><i>quota · NetworkPolicy<br/>default-deny</i>"]
      n2["team-pricing<br/><i>quota · NetworkPolicy</i>"]
      n3["platform<br/><i>mesh · ingress · logging</i>"]
    end
    cp --- pools
    pools --- ns
  end
  subgraph nonprod["Cluster: nonprod-eu"]
    direction TB
    x1["shared node pool<br/><i>spot 90%</i>"]
  end
  reg[("Image registry<br/><i>signed images only</i>")] --> prod
  reg --> nonprod
  gitops["GitOps reconciler"] -.->|"applies desired state"| prod
Deployment & Infrastructure View

Kubernetes Cluster Topology

How many clusters, split by what, which node pools exist and what isolates one tenant from another.

flowchart TB
  s(["Alert: order submit p99 > 900 ms<br/>for 5 min"])
  s --> c1["1. Confirm scope<br/><i>one region or global?</i>"]
  c1 --> q1{"Global?"}
  q1 -->|"no"| a1["2a. Check that region's<br/>dependency health"]
  q1 -->|"yes"| a2["2b. Check shared dependencies:<br/>DB, cache, identity"]
  a1 --> q2{"Region-local cause?"}
  q2 -->|"yes"| m1["3. Shift traffic away<br/><i>runbook OPS-04</i>"]
  q2 -->|"no"| a2
  a2 --> q3{"DB CPU > 80%<br/>or replication lag > 10s?"}
  q3 -->|"yes"| m2["4. Enable read-path cache bypass=off<br/>+ raise connection limit<br/><i>flag: cache.aggressive</i>"]
  q3 -->|"no"| q4{"Recent deploy<br/>in last 60 min?"}
  q4 -->|"yes"| m3["5. Roll back<br/><i>runbook OPS-01</i>"]
  q4 -->|"no"| esc(["6. Escalate to<br/>Order team on-call<br/><i>stop investigating</i>"])
  m1 --> v["7. Verify p99 recovers<br/>within 10 min"]
  m2 --> v
  m3 --> v
  v --> q5{"Recovered?"}
  q5 -->|"yes"| done(["Close · record in incident log"])
  q5 -->|"no"| esc
Governance Artifact

Operational Runbook

A specific, tested procedure for one alert — what to check, in what order, what to do, and when to stop and escalate.