Gatling | Arm yourself for performance

Transcript

1. Gatling Arm yourself for performance 10.05.2016 Patrik Mihalčin http://mihalc.in/

2. Agenda ˂ Why? ˂ Gatling overview ˂ Killer features ˂

   Nifty features ˂ Concepts ˂ How we use Gatling in Loyalty ˂ Demo time… ˂ Your questions? <2>

3. Starters ˂ Why would one bother thinking about non-functional requirements?

   ˂ Why would one use yet another test tool? <3>

4. <4>

5. Gatling overview <5> ˂ Async Scala Akka Netty based load

   test tool ˂ designed asynchronous & resource-efficient in nature

6. Addressing problems ˂ 1 thread = 1 user ˂ blocking

   I/O ˂ think time = Thread.sleep(…); <6>

7. Solving the pain ˂ high performance ˂ do I need

   a cluster of injectors? ˂ usability ˂ do I need GUI? ˂ maintainability ˂ I want to store load tests in Git <7>

8. Killer features ˂ you write code, no huge xml dumps

   in Git ˂ friendly expressive DSL ˂ cool comprehensive reports <8>

9. Easy peasy ˂ scenario <9>

10. Nifty features ˂ http://gatling.io/#/cheat-sheet/2.2.0 ˂ very good support for build

    tooling ˂ recorder ˂ you just set up browser as a proxy and it will act as a man in the middle <10>

11. Concepts ˂ simulation | collection of scenarios ˂ data feeders,

    Gatling EL ˂ injection profile ˂ assertions ˂ error handling, retry mechanism <11>

12. Actions & checks ˂ actions: ˂ http ˂ jms ˂

    server sent events ˂ websockets ˂ engine is protocol agnostic, can be extended ˂ checks ˂ regex ˂ xpath ˂ lambdas ˂ css selectors ˂ jsonpath ˂ and others: http://gatling.io/#/cheat-sheet/2.2.0 <12>

13. How we use Gatling in Loyalty ˂ simulate incoming JMS

    msgs, WSs, UI actions against Loyalty app in Dockerized Azure IaaS ˂ page object pattern to organize tests and for easy maintenance ˂ tests are part of continuous testing cycle in Teamcity ˂ use dynamic data in order to rule out pesticide paradox and server side optimizations ˂ system responsiveness (hourly rates of incoming messages) ˂ execute multiple requests at once in order to rule out concurrency issues – WS retry mechanism ˂ system resiliency - how we actually go about OptimisticLockExceptions <13>

14. Demo time… <14>

15. Your questions? <15>

16. Something to ponder upon ˂ http://gatling.io/#/ ˂ http://gatling.io/docs/2.2.0/ ˂ http://gatling.io/#/cheat-sheet/2.2.0

    ˂ http://gatling.io/docs/2.2.0/quickstart.html <16>