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Analyzing Architectural Risk

Talkat Developers Summit 2021 · 2021-02-18..02-19· [software-architecture]
slides:none on file

Analyzes a concrete web testing system "make the grade" that must handle 20 to 120,000 concurrent students and guarantee no lost answers. Identifies high-risk areas (signin, test taker, queue, autograder), shows mitigation tactics like caching, sharding, autoscaling and federating queues, and suggests persistent brokers such as Kafka. Proposes collaborative riskstorming to quantify impact/likelihood and automated architectural fitness functions (checksums, error streams, trend/threshold alerts) to measure whether fixes actually reduce risk.

AI-written summary · about

  1. 0:00Introduction to architectural risk
  2. 7:53Determining risk dimensions
  3. 16:35Identifying architectural risks
  4. 29:29Mitigating identified risks
  5. 36:38Measuring risk with fitness functions
  6. 47:16Continuous risk assessment process
  7. 49:46Closing and Q&A
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