Around IT in 256 seconds

By Tomasz Nurkiewicz

Podcast for developers, testers, SREs... and their managers. I explain complex and convoluted technologies in a clear way, avoiding buzzwords and hype. Never longer than 4 minutes and 16 seconds. Because software development does not require hours of lectures, dev advocates' slide decks and hand waving. For those of you, who want to combat FOMO, while brushing your teeth. 256 seconds is plenty of time. If I can't explain something within this time frame, it's either too complex, or I don't understand it myself. By Tomasz Nurkiewicz. Java Champion, CTO, trainer, O'Reilly author, blogger

  1. 1.
    #50: Property-based testing: find bugs automatically by generating thousands of test cases
    4:15
  2. 2.
    #49: Functional programming: academic research or new hope for the industry?
    4:13
  3. 3.
    #48: Distributed tracing: find bottlenecks in complex systems
    4:16
  4. 4.
    #47: Terraform: managing infrastructure as code
    4:14
  5. 5.
    #46: Kubernetes: Orchestrating large-scale deployments
    4:13
  6. 6.
    #45: Node.js: running JavaScript on the server (!)
    4:15
  7. 7.
    #44: RESTful APIs: much more than JSON over HTTP
    4:16
  8. 8.
    #43: Public-key cryptography: math invention that revolutionized the Internet
    4:15
  1. 9.
    #42: Flow control and backpressure: slowing down to remain stable
    4:13
  2. 10.
    #41: Unicode: can you see these: Æ, 爱 and 🚀?
    4:15
  3. 11.
    #40: Docker: more than a process, less than a VM
    4:14
  4. 12.
    #39: DNS: one of the fundamental protocols of the Internet
    4:11
  5. 13.
    #38: HTTP cookies: from saving shopping cart to online tracking
    4:03
  6. 14.
    #37: Fallacies of distributed computing
    4:13
  7. 15.
    #36: Microservices architecture: principles and how to break them
    4:11
  8. 16.
    #35: Reactive programming: from spreadsheets to modern web frameworks
    4:15
  9. 17.
    #34: SQL joins
    4:15
  10. 18.
    #33: OAuth 2.0
    4:14
  11. 19.
    #32: (Cryptographic) hash function
    4:15
  12. 20.
    #31: Redis
    4:15
  13. 21.
    #30: Linear Regression
    4:16
  14. 22.
    #29: Time synchronization
    4:00
  15. 23.
    #28: Event sourcing
    4:06
  16. 24.
    #27: Proof-of-work algorithm in blockchain
    4:15
  17. 25.
    #26: Blockchain
    3:55
  18. 26.
    #25: High-frequency trading
    4:15
  19. 27.
    #24: Service discovery
    4:05
  20. 28.
    #23: Garbage collection
    4:15
  21. 29.
    #22: Moore's Law
    4:11
  22. 30.
    #21: SSE and WebSockets
    4:14
  23. 31.
    #20: Chaos engineering
    4:14
  24. 32.
    #19: GraalVM
    4:14
  25. 33.
    #18: JIT - Just-in-time compilation
    4:15
  26. 34.
    #17: BPM: Business process modeling
    4:16
  27. 35.
    #16: Akka
    4:16
  28. 36.
    #15: Mutation testing
    3:55
  29. 37.
    #14: Static, Dynamic, Strong and Weak Type Systems
    4:13
  30. 38.
    #13: Cassandra
    4:15
  31. 39.
    #12: Continuous integration, delivery and deployment
    4:14
  32. 40.
    #11: MapReduce
    4:15
  33. 41.
    #10: HTTP protocol
    4:15
  34. 42.
    #9: Retrying failures
    4:15
  35. 43.
    #8: Kafka's design
    4:15
  36. 44.
    #7: Speed of light
    4:11
  37. 45.
    #6: Little's law
    4:10
  38. 46.
    #5: asm.js and WebAssembly
    4:13
  39. 47.
    #4: Serverless
    4:15
  40. 48.
    #3: GraphQL
    4:15
  41. 49.
    #2: Service Mesh
    4:15
  42. 50.
    #1: Circuit Breaker
    4:14

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