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2741 questions of the kind that actually get asked — in interviews, in architecture review boards, and by the person who has to run the thing at 3 AM. Every answer states the trade-off rather than the slogan, and says when the obvious choice is the wrong one.

All areas2741 Architecture Fundamentals81 Distributed Systems101 Data Architecture90 Cloud Architecture87 Networking86 API & Integration Architecture78 Reliability & Resilience99 Observability92 Performance & Capacity Engineering90 Security Architecture95 Cost Architecture & FinOps92 Business Architecture93 Architecture Communication91 Enterprise Architecture91 Legacy Modernization92 AI-Era Architecture96 Software Architecture & Engineering84 Architecture Patterns84 Architecture Decision-Making91 The Architect's Meta-Skills92 Delivery & Release Engineering93 Platform Engineering & Developer Experience92 Testing & Quality Architecture102 Data Platform Architecture98 Streaming & Real-Time Data93 Data Governance & Semantics91 Frontend & Experience Architecture91 Edge, Mobile & IoT88 Regulatory & Data Protection Architecture90 Assurance, Audit & Model Risk98
Difficulty Any beginner intermediate advanced

51 questions in Data Platform Architecture.

  1. Workflow Schedulers advanced

    Pinterest has described replacing Pinball - its own open-sourced orchestrator - with Spinner, an internal platform built on a branch of Apache Airflow, moving more than 3000 workflows and 45000 tasks with translation tooling, workflow tiers and an in-house Kubernetes executor (Airflow Summit 2021). What forced the change, what did they take on, and where would copying it be a mistake?

    2 min answer pinterestairfloworchestrationplatform-migration
  2. Workload Isolation advanced

    A data platform's ad-hoc queries, scheduled pipelines and machine-learning training compete for the same capacity. How should they be isolated?

    2 min answer workload-isolationcontentionprioritybackfill
  3. Workload Isolation advanced

    An analytics platform separates storage from compute so many teams can query the same data. How should result caching, per-team compute isolation, concurrency scaling and cost attribution be designed — and what workloads defeat the cache?

    3 min answer snowflakestorage-computecachingisolation