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Lesson · Algorithmic and Automated Trading

Deployment, Environments, and Configuration

Build reproducible artifacts, separate development, paper, and live configuration, validate changes, deploy gradually, and roll back without changing trading state unexpectedly.

Review concepts
Core concepts

What to understand

Keep the boundaries, state, and authority explicit.

1

Immutable artifact

Promote the same tested build through environments instead of rebuilding different code.

2

External configuration

Version non-secret strategy and environment settings separately from the binary.

3

Progressive rollout

Use paper, shadow, limited symbols, small size, canary instances, and fast rollback.

Interactive lab

Environment Promotion Lab

Change artifact promotion, configuration validation, canary size, health probes, and rollback behavior. Inject a bad configuration.

Environment Promotion Lab

Deterministic synthetic educational data · no broker or live-market connection

SYSTEM MODEL
Process

Promote one verified change

Code, strategy rules, and configuration should each have an explicit version.

1

Build

Create and scan one reproducible artifact.

2

Verify

Run unit, integration, replay, paper, and configuration checks.

3

Promote

Deploy gradually with health gates, monitoring, and rollback criteria.

Knowledge check

Check your understanding

Select one answer for each question. Feedback appears immediately, and a wrong choice is answered on its own terms before the rule is restated.

1. Why promote the same artifact?

2. Readiness should become false when:

3. A canary rollout limits:

4. The canary is 10% of live capital; a bad configuration loses 0.5% of the capital it controls per minute; automatic rollback takes 3 minutes. What does the account lose?

Practical rules

  • Version code, strategy, configuration, and schema independently.
  • Promote the same immutable artifact.
  • Use readiness gates and automatic rollback criteria.

Common mistakes

  • Using live credentials in development.
  • Editing production parameters without audit.
  • Deploying every strategy and symbol simultaneously.
References

Official reading

These sources cover algorithmic controls, market access, broker APIs, system operations, or security.

Docker · Build Best Practices
Official guidance for reproducible, minimal, testable container images and build pipelines.

Open official reference ↗

Kubernetes · Liveness, Readiness, and Startup Probes
Official guidance for detecting unhealthy containers and preventing unready workloads from receiving traffic.

Open official reference ↗

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