Spring Boot Memory Stress
Introduction¶
- It can target random pods with a Spring Boot application and allows configuring the assaults to inject memory-stress. Which attacks the memory of the Java Virtual Machine. It tests the resiliency of the system when some applications are having unexpected faulty behavior.
Scenario: Stress Memory of Spring Boot Application
Uses¶
View the uses of the experiment
coming soon
Prerequisites¶
Verify the prerequisites
- Ensure that Kubernetes Version > 1.16
- Ensure that the Litmus Chaos Operator is running by executing
kubectl get pods
in operator namespace (typically,litmus
).If not, install from here - Ensure that the
spring-boot-memory-stress
experiment resource is available in the cluster by executingkubectl get chaosexperiments
in the desired namespace. If not, install from here - Chaos Monkey Spring Boot dependency should be present in application. It can be enabled by two ways:
- Add internal dependency inside the spring boot application
- Add Chaos Monkey for Spring Boot as dependency for your project
<dependency> <groupId>de.codecentric</groupId> <artifactId>chaos-monkey-spring-boot</artifactId> <version>2.6.1</version> </dependency>
- Start your Spring Boot App with the chaos-monkey spring profile enabled
java -jar your-app.jar --spring.profiles.active=chaos-monkey --chaos.monkey.enabled=true
- Add Chaos Monkey for Spring Boot as dependency for your project
- Add as external dependency
- You can extend your existing application with the chaos-monkey and add it as an external dependency at startup, for this it is necessary to use the PropertiesLauncher of Spring Boot
<dependency> <groupId>de.codecentric</groupId> <artifactId>chaos-monkey-spring-boot</artifactId> <classifier>jar-with-dependencies</classifier> <version>2.6.1</version> </dependency>
- Start your Spring Boot application, add Chaos Monkey for Spring Boot JAR and properties
java -cp your-app.jar -Dloader.path=chaos-monkey-spring-boot-2.6.1-jar-with-dependencies.jar org.springframework.boot.loader.PropertiesLauncher --spring.profiles.active=chaos-monkey --spring.config.location=file:./chaos-monkey.properties
- You can extend your existing application with the chaos-monkey and add it as an external dependency at startup, for this it is necessary to use the PropertiesLauncher of Spring Boot
- Add internal dependency inside the spring boot application
Default Validations¶
View the default validations
- Spring boot pods are healthy before and after chaos injection
Minimal RBAC configuration example (optional)¶
NOTE
If you are using this experiment as part of a litmus workflow scheduled constructed & executed from chaos-center, then you may be making use of the litmus-admin RBAC, which is pre-installed in the cluster as part of the agent setup.
View the Minimal RBAC permissions
apiVersion: v1
kind: ServiceAccount
metadata:
name: spring-boot-memory-stress-sa
namespace: default
labels:
name: spring-boot-memory-stress-sa
app.kubernetes.io/part-of: litmus
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: spring-boot-memory-stress-sa
namespace: default
labels:
name: spring-boot-memory-stress-sa
app.kubernetes.io/part-of: litmus
rules:
# Create and monitor the experiment & helper pods
- apiGroups: [""]
resources: ["pods"]
verbs: ["create","delete","get","list","patch","update", "deletecollection"]
# Performs CRUD operations on the events inside chaosengine and chaosresult
- apiGroups: [""]
resources: ["events"]
verbs: ["create","get","list","patch","update"]
# Track and get the runner, experiment, and helper pods log
- apiGroups: [""]
resources: ["pods/log"]
verbs: ["get","list","watch"]
# for creating and managing to execute commands inside target container
- apiGroups: [""]
resources: ["pods/exec"]
verbs: ["get","list","create"]
# for configuring and monitor the experiment job by the chaos-runner pod
- apiGroups: ["batch"]
resources: ["jobs"]
verbs: ["create","list","get","delete","deletecollection"]
# for creation, status polling and deletion of litmus chaos resources used within a chaos workflow
- apiGroups: ["litmuschaos.io"]
resources: ["chaosengines","chaosexperiments","chaosresults"]
verbs: ["create","list","get","patch","update","delete"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: spring-boot-memory-stress-sa
namespace: default
labels:
name: spring-boot-memory-stress-sa
app.kubernetes.io/part-of: litmus
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: spring-boot-memory-stress-sa
subjects:
- kind: ServiceAccount
name: spring-boot-memory-stress-sa
namespace: default
Experiment tunables¶
check the experiment tunables
Mandatory Fields
Variables | Description | Notes |
---|---|---|
CM_PORT | It contains port of the spring boot application | |
MEMORY_FILL_FRACTION | It contains fraction of memory to be stressed, 0.7 equals 70% | default value is 0.70. It supports value in range [0.01,0.95] |
Optional Fields
Variables | Description | Notes |
---|---|---|
CM_LEVEL | It contains number of requests are to be attacked, n value means nth request will be affected | Defaults value: 1, it lies in [1,10000] range |
CM_WATCHED_CUSTOM_SERVICES | It limits watched packages/classes/methods, it contains comma seperated list of fully qualified packages(class and/or method names) | ByDefault it is empty list, which means it target all services |
CM_WATCHERS | It contains comma separated list of watchers from the following watchers list [controller, restController, service, repository, component, webClient] | ByDefault it is restController |
TOTAL_CHAOS_DURATION | The time duration for chaos injection (seconds) | Defaults to 30 |
SEQUENCE | It defines sequence of chaos execution for multiple target pods | Default value: parallel. Supported: serial, parallel |
PODS_AFFECTED_PERC | The Percentage of total pods to target | Defaults to 0% (corresponds to 1 replica) |
LIB | The chaos lib used to inject the chaos | Defaults to litmus . Supported litmus only |
RAMP_TIME | Period to wait before and after injection of chaos in sec |
Experiment Examples¶
Common Experiment Tunables¶
Refer the common attributes and Spring Boot specific tunable to tune the common tunables for all experiments and spring-boot specific tunables.
Spring Boot Application Port¶
It tunes the spring-boot application port via CM_PORT
ENV
Use the following example to tune this:
# stress memory of spring-boot application
apiVersion: litmuschaos.io/v1alpha1
kind: ChaosEngine
metadata:
name: spring-boot-chaos
namespace: default
spec:
appinfo:
appns: 'default'
applabel: 'app=spring-boot'
appkind: 'deployment'
# It can be active/stop
engineState: 'active'
chaosServiceAccount: spring-boot-memory-stress-sa
experiments:
- name: spring-boot-memory-stress
spec:
components:
env:
# port of the spring boot application
- name: CM_PORT
value: '8080'
Memory Fill Fraction¶
It contains fraction of memory to be stressed, 0.70 equals 70%. It can be tunes via MEMORY_FILL_FRACTION
ENV
Use the following example to tune this:
# provide the memory fraction to be filled
apiVersion: litmuschaos.io/v1alpha1
kind: ChaosEngine
metadata:
name: spring-boot-chaos
namespace: default
spec:
appinfo:
appns: 'default'
applabel: 'app=spring-boot'
appkind: 'deployment'
# It can be active/stop
engineState: 'active'
chaosServiceAccount: spring-boot-memory-stress-sa
experiments:
- name: spring-boot-memory-stress
spec:
components:
env:
# it contains the fraction of used CPU. Eg: 0.70 equals 70%.
# it supports value in range [0.01,0.95]
- name: MEMORY_FILL_FRACTION
value: '0.70'
# port of the spring boot application
- name: CM_PORT
value: '8080'