Errors errors everywhere! - BoilingFrogs 2018

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Pewnego razu grupa programistów zdecydowała się, że zgodnie z aktualnie panującymi na rynku trendami nie będą już pisać “monolitów”. Wybrali kilka popularnych wzorców architektury (takich jak CQRS, Microservices, EDA, Event Sourcing) i zastosowali je w swoim produkcie. Po wdrożeniu okazało się, że wraz ze wzrostem skalowalności, który bardzo ich cieszył wzrósł również diametralnie koszt infrastruktury, a obsługa błędów stała się koszmarem- serwisy padały w bliżej nieokreślonych momentach, połączenie sieciowe nie zawsze było stabilne, bazy danych traciły dane, a obsługa rozproszonej transakcji przyprawiała o ciężki ból głowy i pozbawiała weekendów. Byłeś tam może? Chciałbym opowiedzieć o praktykach obsługi błędów. Jak radzić sobie z problemami biznesowowymi w systemach asynchronicznych? Jak obsługiwać wyjątki nie tracąc danych klientów? Jak wiele razy można próbować ponowić konkretną operację? Na te pytania nie ma jednej dobrej odpowiedzi, warto zatem poznać więcej niż jedno potencjalne rozwiązanie. Historia o tym co może się nie udać w naszej wspanaiałej, skalowalnej, rozproszonej aplikacji.

Presentations & Public Speaking

Microservices
CQRS
Queues
Hexagonal
SOA
Serverless
Event Sourcing
Integrations
Pipe-Filter
Event BUS
EDA

The fallacies
of distributed
computing
L. Peter Deutsch and other “Sun Microsystems Fellows”

1)The network is reliable.
2)Latency is zero.

1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.

1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.

1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
5)Topology doesn't change.

1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
5)Topology doesn't change.
6)There is one administrator.

1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
5)Topology doesn't change.
6)There is one administrator.
7)Transport cost is zero.

C B F
D
A G
E
RETRY!
MAX ATTEMPTS
Backoff POLICY
RECOVER

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7. 1)The network is reliable.

8. 1)The network is reliable. 2)Latency is zero.

9. 1)The network is reliable. 2)Latency is zero. 3)Bandwidth is infnite.

10. 1)The network is reliable. 2)Latency is zero. 3)Bandwidth is infnite. 4)The network is secure.

11. 1)The network is reliable. 2)Latency is zero. 3)Bandwidth is infnite. 4)The network is secure. 5)Topology doesn't change.

12. 1)The network is reliable. 2)Latency is zero. 3)Bandwidth is infnite. 4)The network is secure. 5)Topology doesn't change. 6)There is one administrator.

13. 1)The network is reliable. 2)Latency is zero. 3)Bandwidth is infnite. 4)The network is secure. 5)Topology doesn't change. 6)There is one administrator. 7)Transport cost is zero.

14. 1)The network is reliable. 2)Latency is zero. 3)Bandwidth is infnite. 4)The network is secure. 5)Topology doesn't change. 6)There is one administrator. 7)Transport cost is zero. 8)The network is homogeneous.

15. CAP THEOREM Eric Brewer, 1998

16. PACELC theorem Daniel Abadi, 2010

17. SAFE TO FAIL

18. A B

19. A B RETRY!

20. C B F D A G E

21. C B F D A G E RETRY! MAX ATTEMPTS Backoff POLICY RECOVER

22.

23. CB F D A G E H

24. CB F D A G E H

25. CB F D A G E H

26. CB F D A G E H