1.
Тема доклада
Тема доклада
Тема доклада
KYIV 2019
Serhii Kalinets
Effective Microservice Communication
.NET CONFERENCE #1 IN UKRAINE

2.
About Me
Here should be some text about me 

3.
We are hiring!

4.
XP Days
https://xpdays.com.ua/
November 22-23, 2019
Kyiv, Ukraine

5.
.NET fwdays'20
https://fwdays.com/event/dotnet-fwdays-2020
April 11, 2020 Kyiv,
Ukraine

6.
Kyiv ALT.NET

7.
In the previous episode…
.NET Framework
IIS
SOAP / WSDL
WCF

8.
New wonderful world of
microservices…
dotnet new

9.
Representational
state transfer (REST)

10.
RESTful
Client server architecture
Statelessness
Cacheability
Layered system
Uniform interface

11.
REST: Uniform interface
Resource identification in requests
Resource manipulation through representations
Self-descriptive messages
Hypermedia as the engine of application state
(HATEOAS)

12.
HATEOAS
https://roy.gbiv.com/untangled/2008/rest-apis-must-be-hypertext-driven

13.
Is it really REST?
POST is used for updates and deletes
Changes in service require client to update
No HATEOAS

14.
REST Problems
Not suitable for all domains
RPC is still a thing
Weak contracts (contrasting to WSDL)

15.
Swagger and OpenAPI
Client generation
Auto-publishing to WIKI

16.
OpenAPI Swagger

17.
Tools
NSwag, Swashbuckle for API spec /
documentation
SwagerCodeGen for client generation

18.
Consumer Driven Contracts
Allow to test
services and clients separately
Ensure that clients do not get
broken when service evolves

19.
How it works
Consumer creates model and client
Consumer creates test against service mock
Result of test run is recorded as JSON file, called ”pact”
Service uses client stub takes that pact file and runs it
against actual service

20.
gRPC
Strict contract between client and service
Backwards compatibility
Plumbing code is generated and is always
optimal

21.
gRPC in .NET Core
dotnet new grps

22.
Messaging
Asynchronous communication
Reliability is covered by a message broker
Events / commands architecture

23.
https://www.confluent.io/blog/building-a-microservices-ecosystem-with-kafka-streams-and-ksql/

24.
Event Streams and KSQL
KSQL is available only as Java / Scala
Use sidecar pattern

25.
What is GraphQL
Queries
Mutations
(new hotness) Subscriptions

26.
Pros of GraphQL
Control over bandwith
Authorization on field / operation level
Fewer repetitive endpoints

27.
Cons of GraphQL
Not optimized for .NET

28.
Polly
// Break the circuit after the specified number of consecutive
// exceptions and keep circuit broken for the specified
// duration.
Policy
.Handle<SomeExceptionType>()
.CircuitBreaker(2, TimeSpan.FromMinutes(1));

29.
Service
Mesh

30.
Conclusion
Important conclusion 1
Important conclusion 2
Important conclusion 3

31.
Thanks!
kalinets@gmail.com
@skalinets