System Design: Scalable CI/CD for Dozens of Microservices
Context
You are designing a CI/CD platform to support dozens of polyglot microservices (e.g., Go/Java/Node/Python) deployed to Kubernetes on a major cloud provider. The organization needs fast, reliable, compliant delivery with robust security and observability.
Task
Design the end-to-end CI/CD architecture and explain how it scales and remains secure and cost-effective. Cover the following:
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Triggers and Workflow
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Supported triggers: push, pull request, schedule, manual.
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Branching strategy and environments (dev/staging/prod).
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Build and Dependencies
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Build isolation, reproducibility, and caching (container layer cache, remote cache, language caches).
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Dependency management (lockfiles, proxies/mirrors).
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Testing Strategy
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Orchestration for unit, integration, and end-to-end tests.
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Parallelization/sharding, data setup, flaky-test handling.
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Artifacts and Versioning
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What artifacts are produced (images, packages, Helm charts).
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Versioning scheme, metadata, immutability.
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Promotion and Deployment
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Environment promotion model (e.g., GitOps).
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Deployment strategies: rolling, blue/green, canary with automated analysis.
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Rollback strategy.
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Observability
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CI/CD pipeline observability and application runtime observability (logs, metrics, traces, alerting).
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Secrets and Access
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Secret management, short-lived credentials, separation of duties.
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Scaling the Platform
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Runners/executors autoscaling, isolation, caching at scale.
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Supporting monorepo vs. multirepo.
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Governance and Compliance
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Approvals, change management, policy-as-code, auditability.
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Reliability and Recovery
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Rollback and disaster recovery for both apps and the CI/CD platform.
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Cost Controls
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Techniques to control compute, storage, and tooling costs.
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Supply Chain Security
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SBOM, signing, provenance/attestations, admission controls.
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KPIs/SLOs and On-call
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Key delivery and platform KPIs/SLOs.
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On-call playbook for failed deployments.
Provide assumptions if needed and clearly justify design choices.