yexiaoyaoo / TTFI

Fault diagnosis experiments with the TrainTicket application.

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TTFI

Fault diagnosis experiments with the TrainTicket application.

Basis:

*Experimental Applications:TrainTicket

*Chaos Engineering: Chaosblade

Experimental use cases

The following table shows the fault injection experiments we conducted:

Injecting Faulty Objects Fault numbers Root causes Details
TrainTicket Application F1 OOM errors of JVM. Causes the application's heap memory footprint to exceed the Xmx limit, triggering an overflow.
F1 OOM errors of JVM. Causes the application's heap memory footprint to exceed the Xmx limit, triggering an overflow.
F2 Network communication delayed between microservices. Make the communication of ts-cancel-microservice incur a 200ms delay and timeout for partially sent cancellation requests.
F3 Network communication lost and generates unexpected errors. Make the communication of ts-travel2-microservice generate 70% packet loss, and some requests to send notifications are lost.
F4 The microservice was accidentally deleted. Delete the pod: ts-admin-user-microservice, which is used to provide user management operations.
F5 The CPU of the Java process in the container is fully loaded. CPU full for java process in ts-admin-route-microservice service container.
F6 Unexpected increase in processing time for some requests due to latency in the method. The createNewOrder method in the java process of the ts-order-microservice service injects 3s fault, which controls the generation of new orders.
Containers F7 Triggers an error hang of the microservice container, resulting in unexpected errors in business processing. Hang the container of ts-notification-microservice.
F8 The CPU load in the container is 100%. Increase the pod’s CPU load of ts-config-microservice

About

Fault diagnosis experiments with the TrainTicket application.