StatefulSet

The StatefulSet chart in Devtron allows you to deploy and manage stateful applications. StatefulSet is a Kubernetes resource that provides guarantees about the ordering and uniqueness of Pods during deployment and scaling.

It supports only ONDELETE and ROLLINGUPDATE deployment strategy.

You can select StatefulSet chart when you want to use only basic use cases which contain the following:

• Managing Stateful Applications: StatefulSets are ideal for managing stateful applications, such as databases or distributed systems, that require stable network identities and persistent storage for each Pod.

• Ordered Pod Management: StatefulSets ensure ordered and predictable management of Pods by providing each Pod with a unique and stable hostname based on a defined naming convention and ordinal index.

• Updating and Scaling Stateful Applications: StatefulSets support updating and scaling stateful applications by creating new versions of the StatefulSet and performing rolling updates or scaling operations in a controlled manner, ensuring minimal disruption to the application.

• Persistent Storage: StatefulSets have built-in mechanisms for handling persistent volumes, allowing each Pod to have its own unique volume claim and storage. This ensures data persistence even when Pods are rescheduled or restarted.

• Maintaining Pod Identity: StatefulSets guarantee consistent identity for each Pod throughout its lifecycle. This stability is maintained even if the Pods are rescheduled, allowing applications to rely on stable network identities.

• Rollback Capability: StatefulSets provide the ability to rollback to a previous version in case the current state of the application is unstable or encounters issues, ensuring a known working state for the application.

• Status Monitoring: StatefulSets offer status information that can be used to monitor the deployment, including the current version, number of replicas, and the readiness of each Pod. This helps in tracking the health and progress of the StatefulSet deployment.

• Resource Cleanup: StatefulSets allow for easy cleanup of older versions by deleting StatefulSets and their associated Pods and persistent volumes that are no longer needed, ensuring efficient resource utilization.

Note

Super-admins can lock keys in StatefulSet deployment template to prevent non-super-admins from modifying those locked keys. Refer Lock Deployment Configuration to know more.

1. Yaml File

Container Ports

This defines ports on which application services will be exposed to other services

ContainerPort:
  - envoyPort: 8799
    idleTimeout:
    name: app
    port: 8080
    servicePort: 80
    nodePort: 32056
    supportStreaming: true
    useHTTP2: true

Key	Description
envoyPort	envoy port for the container.
idleTimeout	the duration of time that a connection is idle before the connection is terminated.
name	name of the port.
port	port for the container.
servicePort	port of the corresponding kubernetes service.
nodePort	nodeport of the corresponding kubernetes service.
supportStreaming	Used for high performance protocols like grpc where timeout needs to be disabled.
useHTTP2	Envoy container can accept HTTP2 requests.

EnvVariables

EnvVariables: []

EnvVariablesFromSecretKeys

EnvVariablesFromSecretKeys: 
  - name: ENV_NAME
    secretName: SECRET_NAME
    keyName: SECRET_KEY

It is used to get the name of Environment Variable name, Secret name and the Key name from which we are using the value in that corresponding Environment Variable.

EnvVariablesFromConfigMapKeys

EnvVariablesFromConfigMapKeys: 
  - name: ENV_NAME
    configMapName: CONFIG_MAP_NAME
    keyName: CONFIG_MAP_KEY

It is used to get the name of Environment Variable name, Config Map name and the Key name from which we are using the value in that corresponding Environment Variable.

To set environment variables for the containers that run in the Pod.

StatefulSetConfig

These are all the configuration settings for the StatefulSet.

statefulSetConfig:
  labels:
    app: my-statefulset
    environment: production
  annotations:
    example.com/version: "1.0"
  serviceName: "my-statefulset-service"
  podManagementPolicy: "Parallel"
  revisionHistoryLimit: 5
  mountPath: "/data"
  volumeClaimTemplates:
    - apiVersion: v1
      kind: PersistentVolumeClaim
      metadata:
        labels:
          app: my-statefulset
      spec:
        accessModes:
          - ReadWriteOnce
        dataSource:
          kind: Snapshot
          apiGroup: snapshot.storage.k8s.io
          name: my-snapshot
        resources:
          requests:
            storage: 5Gi
          limits:
            storage: 10Gi
        storageClassName: my-storage-class
        selector:
          matchLabels:
            app: my-statefulset
        volumeMode: Filesystem
        volumeName: my-pv
  - apiVersion: v1
    kind: PersistentVolumeClaim
    metadata:
      name: pvc-logs
      labels:
        app: myapp
    spec:
      accessModes:
        - ReadWriteMany
      dataSourceRef:
        kind: Secret
        apiGroup: v1
        name: my-secret
      resources:
        requests:
          storage: 5Gi
      storageClassName: my-storage-class
      selector:
        matchExpressions:
          - {key: environment, operator: In, values: [production]}
      volumeMode: Block
      volumeName: my-pv

Mandatoryfields in statefulSetConfig is

statefulSetConfig:
  mountPath: /tmp
  volumeClaimTemplates:
  - spec:
      accessModes: 
        - ReadWriteOnce
      resources: 
        requests:
            storage: 2Gi

Here is an explanation of each field in the statefulSetConfig :

Key	Description
labels	set of key-value pairs used to identify the StatefulSet .
annotations	A map of key-value pairs that are attached to the stateful set as metadata.
serviceName	The name of the Kubernetes Service that the StatefulSet should create.
podManagementPolicy	A policy that determines how Pods are created and deleted by the StatefulSet. In this case, the policy is set to "Parallel", which means that all Pods are created at once.
revisionHistoryLimit	The number of revisions that should be stored for each replica of the StatefulSet.
updateStrategy	The update strategy used by the StatefulSet when rolling out changes.
mountPath	The path where the volume should be mounted in the container.

volumeClaimTemplates: An array of volume claim templates that are used to create persistent volumes for the StatefulSet. Each volume claim template specifies the storage class, access mode, storage size, and other details of the persistent volume.

Key	Description
apiVersion	The API version of the PVC .
kind	The type of object that the PVC is.
metadata	Metadata that is attached to the resource being created.
labels	A set of key-value pairs used to label the object for identification and selection.
spec	The specification of the object, which defines its desired state and behavior.
accessModes	A list of access modes for the PersistentVolumeClaim, such as "ReadWriteOnce" or "ReadWriteMany".
dataSource	A data source used to populate the PersistentVolumeClaim, such as a Snapshot or a StorageClass.
kind	specifies the kind of the snapshot, in this case Snapshot.
apiGroup	specifies the API group of the snapshot API, in this case snapshot.storage.k8s.io.
name	specifies the name of the snapshot, in this case my-snapshot.
dataSourceRef	A reference to a data source used to create the persistent volume. In this case, it's a secret.
updateStrategy	The update strategy used by the StatefulSet when rolling out changes.
resources	The resource requests and limits for the PersistentVolumeClaim, which define the minimum and maximum amount of storage it can use.
requests	The amount of storage requested by the PersistentVolumeClaim.
limits	The maximum amount of storage that the PersistentVolumeClaim can use.
storageClassName	The name of the storage class to use for the persistent volume.
selector	The selector used to match a persistent volume to a persistent volume claim.
matchLabels	a map of key-value pairs to match the labels of the corresponding PersistentVolume.
matchExpressions	A set of requirements that the selected object must meet to be considered a match.
key	The key of the label or annotation to match.
operator	The operator used to compare the key-value pairs (in this case, "In" specifies a set membership test).
values	A list of values that the selected object's label or annotation must match.
volumeMode	The mode of the volume, either "Filesystem" or "Block".
volumeName	The name of the PersistentVolume that is created for the PersistentVolumeClaim.

Liveness Probe

If this check fails, kubernetes restarts the pod. This should return error code in case of non-recoverable error.

LivenessProbe:
  Path: ""
  port: 8080
  initialDelaySeconds: 20
  periodSeconds: 10
  successThreshold: 1
  timeoutSeconds: 5
  failureThreshold: 3
  httpHeaders:
    - name: Custom-Header
      value: abc
  scheme: ""
  tcp: true

Key	Description
Path	It define the path where the liveness needs to be checked.
initialDelaySeconds	It defines the time to wait before a given container is checked for liveliness.
periodSeconds	It defines the time to check a given container for liveness.
successThreshold	It defines the number of successes required before a given container is said to fulfil the liveness probe.
timeoutSeconds	It defines the time for checking timeout.
failureThreshold	It defines the maximum number of failures that are acceptable before a given container is not considered as live.
httpHeaders	Custom headers to set in the request. HTTP allows repeated headers,You can override the default headers by defining .httpHeaders for the probe.
scheme	Scheme to use for connecting to the host (HTTP or HTTPS). Defaults to HTTP.
tcp	The kubelet will attempt to open a socket to your container on the specified port. If it can establish a connection, the container is considered healthy.

MaxUnavailable

  MaxUnavailable: 0

The maximum number of pods that can be unavailable during the update process. The value of "MaxUnavailable: " can be an absolute number or percentage of the replicas count. The default value of "MaxUnavailable: " is 25%.

MaxSurge

MaxSurge: 1

The maximum number of pods that can be created over the desired number of pods. For "MaxSurge: " also, the value can be an absolute number or percentage of the replicas count. The default value of "MaxSurge: " is 25%.

Min Ready Seconds

MinReadySeconds: 60

This specifies the minimum number of seconds for which a newly created Pod should be ready without any of its containers crashing, for it to be considered available. This defaults to 0 (the Pod will be considered available as soon as it is ready).

Readiness Probe

If this check fails, kubernetes stops sending traffic to the application. This should return error code in case of errors which can be recovered from if traffic is stopped.

ReadinessProbe:
  Path: ""
  port: 8080
  initialDelaySeconds: 20
  periodSeconds: 10
  successThreshold: 1
  timeoutSeconds: 5
  failureThreshold: 3
  httpHeaders:
    - name: Custom-Header
      value: abc
  scheme: ""
  tcp: true

Key	Description
Path	It define the path where the readiness needs to be checked.
initialDelaySeconds	It defines the time to wait before a given container is checked for readiness.
periodSeconds	It defines the time to check a given container for readiness.
successThreshold	It defines the number of successes required before a given container is said to fulfill the readiness probe.
timeoutSeconds	It defines the time for checking timeout.
failureThreshold	It defines the maximum number of failures that are acceptable before a given container is not considered as ready.
httpHeaders	Custom headers to set in the request. HTTP allows repeated headers,You can override the default headers by defining .httpHeaders for the probe.
scheme	Scheme to use for connecting to the host (HTTP or HTTPS). Defaults to HTTP.
tcp	The kubelet will attempt to open a socket to your container on the specified port. If it can establish a connection, the container is considered healthy.

Ambassador Mappings

You can create ambassador mappings to access your applications from outside the cluster. At its core a Mapping resource maps a resource to a service.

ambassadorMapping:
  ambassadorId: "prod-emissary"
  cors: {}
  enabled: true
  hostname: devtron.example.com
  labels: {}
  prefix: /
  retryPolicy: {}
  rewrite: ""
  tls:
    context: "devtron-tls-context"
    create: false
    hosts: []
    secretName: ""

Key	Description
enabled	Set true to enable ambassador mapping else set false.
ambassadorId	used to specify id for specific ambassador mappings controller.
cors	used to specify cors policy to access host for this mapping.
weight	used to specify weight for canary ambassador mappings.
hostname	used to specify hostname for ambassador mapping.
prefix	used to specify path for ambassador mapping.
labels	used to provide custom labels for ambassador mapping.
retryPolicy	used to specify retry policy for ambassador mapping.
corsPolicy	Provide cors headers on flagger resource.
rewrite	used to specify whether to redirect the path of this mapping and where.
tls	used to create or define ambassador TLSContext resource.
extraSpec	used to provide extra spec values which not present in deployment template for ambassador resource.

Autoscaling

This is connected to HPA and controls scaling up and down in response to request load.

autoscaling:
  enabled: false
  MinReplicas: 1
  MaxReplicas: 2
  TargetCPUUtilizationPercentage: 90
  TargetMemoryUtilizationPercentage: 80
  extraMetrics: []

Key	Description
enabled	Set true to enable autoscaling else set false.
MinReplicas	Minimum number of replicas allowed for scaling.
MaxReplicas	Maximum number of replicas allowed for scaling.
TargetCPUUtilizationPercentage	The target CPU utilization that is expected for a container.
TargetMemoryUtilizationPercentage	The target memory utilization that is expected for a container.
extraMetrics	Used to give external metrics for autoscaling.

Fullname Override

fullnameOverride: app-name

fullnameOverride replaces the release fullname created by default by devtron, which is used to construct Kubernetes object names. By default, devtron uses {app-name}-{environment-name} as release fullname.

Image

image:
  pullPolicy: IfNotPresent

Image is used to access images in kubernetes, pullpolicy is used to define the instances calling the image, here the image is pulled when the image is not present,it can also be set as "Always".

imagePullSecrets

imagePullSecrets contains the docker credentials that are used for accessing a registry.

imagePullSecrets:
  - regcred

regcred is the secret that contains the docker credentials that are used for accessing a registry. Devtron will not create this secret automatically, you'll have to create this secret using dt-secrets helm chart in the App store or create one using kubectl. You can follow this documentation Pull an Image from a Private Registry https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ .

Ingress

This allows public access to the url, please ensure you are using right nginx annotation for nginx class, its default value is nginx

ingress:
  enabled: false
  # For K8s 1.19 and above use ingressClassName instead of annotation kubernetes.io/ingress.class:
  className: nginx
  annotations: {}
  hosts:
      - host: example1.com
        paths:
            - /example
      - host: example2.com
        paths:
            - /example2
            - /example2/healthz
  tls: []

Legacy deployment-template ingress format

ingress:
  enabled: false
  # For K8s 1.19 and above use ingressClassName instead of annotation kubernetes.io/ingress.class:
  ingressClassName: nginx-internal
  annotations: {}
  path: ""
  host: ""
  tls: []

Key	Description
enabled	Enable or disable ingress
annotations	To configure some options depending on the Ingress controller
path	Path name
host	Host name
tls	It contains security details

Ingress Internal

This allows private access to the url, please ensure you are using right nginx annotation for nginx class, its default value is nginx

ingressInternal:
  enabled: false
  # For K8s 1.19 and above use ingressClassName instead of annotation kubernetes.io/ingress.class:
  ingressClassName: nginx-internal
  annotations: {}
  hosts:
      - host: example1.com
        paths:
            - /example
      - host: example2.com
        paths:
            - /example2
            - /example2/healthz
  tls: []

Key	Description
enabled	Enable or disable ingress
annotations	To configure some options depending on the Ingress controller
path	Path name
host	Host name
tls	It contains security details

Init Containers

initContainers: 
  - reuseContainerImage: true
    securityContext:
      runAsUser: 1000
      runAsGroup: 3000
      fsGroup: 2000
    volumeMounts:
     - mountPath: /etc/ls-oms
       name: ls-oms-cm-vol
   command:
     - flyway
     - -configFiles=/etc/ls-oms/flyway.conf
     - migrate

  - name: nginx
    image: nginx:1.14.2
    securityContext:
      privileged: true
    ports:
    - containerPort: 80
    command: ["/usr/local/bin/nginx"]
    args: ["-g", "daemon off;"]

Specialized containers that run before app containers in a Pod. Init containers can contain utilities or setup scripts not present in an app image. One can use base image inside initContainer by setting the reuseContainerImage flag to true.

Istio

Istio is a service mesh which simplifies observability, traffic management, security and much more with it's virtual services and gateways.

istio:
  enable: true
  gateway:
    annotations: {}
    enabled: false
    host: example.com
    labels: {}
    tls:
      enabled: false
      secretName: example-tls-secret
  virtualService:
    annotations: {}
    enabled: false
    gateways: []
    hosts: []
    http:
      - corsPolicy:
          allowCredentials: false
          allowHeaders:
            - x-some-header
          allowMethods:
            - GET
          allowOrigin:
            - example.com
          maxAge: 24h
        headers:
          request:
            add:
              x-some-header: value
        match:
          - uri:
              prefix: /v1
          - uri:
              prefix: /v2
        retries:
          attempts: 2
          perTryTimeout: 3s
        rewriteUri: /
        route:
          - destination:
              host: service1
              port: 80
        timeout: 12s
      - route:
          - destination:
              host: service2
    labels: {}

Key	Description
istio	Istio enablement. When istio.enable set to true, Istio would be enabled for the specified configurations
gateway	Allowing external traffic to enter the service mesh through the specified configurations.
host	The external domain through which traffic will be routed into the service mesh.
tls	Traffic to and from the gateway should be encrypted using TLS.
secretName	Specifies the name of the Kubernetes secret that contains the TLS certificate and private key. The TLS certificate is used for securing the communication between clients and the Istio gateway.
virtualService	Enables the definition of rules for how traffic should be routed to different services within the service mesh.
gateways	Specifies the gateways to which the rules defined in the VirtualService apply.
hosts	List of hosts (domains) to which this VirtualService is applied.
http	Configuration for HTTP routes within the VirtualService. It define routing rules based on HTTP attributes such as URI prefixes, headers, timeouts, and retry policies.
corsPolicy	Cross-Origin Resource Sharing (CORS) policy configuration.
headers	Additional headers to be added to the HTTP request.
match	Conditions that need to be satisfied for this route to be used.
uri	This specifies a match condition based on the URI of the incoming request.
prefix	It specifies that the URI should have the specified prefix.
retries	Retry configuration for failed requests.
attempts	It specifies the number of retry attempts for failed requests.
perTryTimeout	sets the timeout for each individual retry attempt.
rewriteUri	Rewrites the URI of the incoming request.
route	List of destination rules for routing traffic.

Pause For Seconds Before Switch Active

pauseForSecondsBeforeSwitchActive: 30

To wait for given period of time before switch active the container.

Resources

These define minimum and maximum RAM and CPU available to the application.

resources:
  limits:
    cpu: "1"
    memory: "200Mi"
  requests:
    cpu: "0.10"
    memory: "100Mi"

Resources are required to set CPU and memory usage.

Limits

Limits make sure a container never goes above a certain value. The container is only allowed to go up to the limit, and then it is restricted.

Requests

Requests are what the container is guaranteed to get.

Service

This defines annotations and the type of service, optionally can define name also.

  service:
    type: ClusterIP
    annotations: {}

Volumes

volumes:
  - name: log-volume
    emptyDir: {}
  - name: logpv
    persistentVolumeClaim:
      claimName: logpvc

It is required when some values need to be read from or written to an external disk.

Volume Mounts

volumeMounts:
  - mountPath: /var/log/nginx/
    name: log-volume 
  - mountPath: /mnt/logs
    name: logpvc
    subPath: employee  

It is used to provide mounts to the volume.

Affinity and anti-affinity

Spec:
  Affinity:
    Key:
    Values:

Spec is used to define the desire state of the given container.

Node Affinity allows you to constrain which nodes your pod is eligible to schedule on, based on labels of the node.

Inter-pod affinity allow you to constrain which nodes your pod is eligible to be scheduled based on labels on pods.

Key

Key part of the label for node selection, this should be same as that on node. Please confirm with devops team.

Values

Value part of the label for node selection, this should be same as that on node. Please confirm with devops team.

Tolerations

tolerations:
 - key: "key"
   operator: "Equal"
   value: "value"
   effect: "NoSchedule|PreferNoSchedule|NoExecute(1.6 only)"

Taints are the opposite, they allow a node to repel a set of pods.

A given pod can access the given node and avoid the given taint only if the given pod satisfies a given taint.

Taints and tolerations are a mechanism which work together that allows you to ensure that pods are not placed on inappropriate nodes. Taints are added to nodes, while tolerations are defined in the pod specification. When you taint a node, it will repel all the pods except those that have a toleration for that taint. A node can have one or many taints associated with it.

Arguments

args:
  enabled: false
  value: []

This is used to give arguments to command.

Command

command:
  enabled: false
  value: []

It contains the commands for the server.

Key	Description
enabled	To enable or disable the command.
value	It contains the commands.

Containers

Containers section can be used to run side-car containers along with your main container within same pod. Containers running within same pod can share volumes and IP Address and can address each other @localhost. We can use base image inside container by setting the reuseContainerImage flag to true.

    containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80
        command: ["/usr/local/bin/nginx"]
        args: ["-g", "daemon off;"]
      - reuseContainerImage: true
        securityContext:
          runAsUser: 1000
          runAsGroup: 3000
          fsGroup: 2000
        volumeMounts:
        - mountPath: /etc/ls-oms
          name: ls-oms-cm-vol
        command:
          - flyway
          - -configFiles=/etc/ls-oms/flyway.conf
          - migrate

Prometheus

  prometheus:
    release: monitoring

It is a kubernetes monitoring tool and the name of the file to be monitored as monitoring in the given case.It describes the state of the prometheus.

rawYaml

rawYaml: 
  - apiVersion: v1
    kind: Service
    metadata:
      name: my-service
    spec:
      selector:
        app: MyApp
      ports:
        - protocol: TCP
          port: 80
          targetPort: 9376
      type: ClusterIP

Accepts an array of Kubernetes objects. You can specify any kubernetes yaml here and it will be applied when your app gets deployed.

Grace Period

GracePeriod: 30

Kubernetes waits for the specified time called the termination grace period before terminating the pods. By default, this is 30 seconds. If your pod usually takes longer than 30 seconds to shut down gracefully, make sure you increase the GracePeriod.

A Graceful termination in practice means that your application needs to handle the SIGTERM message and begin shutting down when it receives it. This means saving all data that needs to be saved, closing down network connections, finishing any work that is left, and other similar tasks.

There are many reasons why Kubernetes might terminate a perfectly healthy container. If you update your deployment with a rolling update, Kubernetes slowly terminates old pods while spinning up new ones. If you drain a node, Kubernetes terminates all pods on that node. If a node runs out of resources, Kubernetes terminates pods to free those resources. It’s important that your application handle termination gracefully so that there is minimal impact on the end user and the time-to-recovery is as fast as possible.

Server

server:
  deployment:
    image_tag: 1-95a53
    image: ""

It is used for providing server configurations.

Deployment

It gives the details for deployment.

Key	Description
image_tag	It is the image tag
image	It is the URL of the image

Service Monitor

servicemonitor:
      enabled: true
      path: /abc
      scheme: 'http'
      interval: 30s
      scrapeTimeout: 20s
      metricRelabelings:
        - sourceLabels: [namespace]
          regex: '(.*)'
          replacement: myapp
          targetLabel: target_namespace

It gives the set of targets to be monitored.

Db Migration Config

dbMigrationConfig:
  enabled: false

It is used to configure database migration.

KEDA Autoscaling

KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. KEDA can be installed into any Kubernetes cluster and can work alongside standard Kubernetes components like the Horizontal Pod Autoscaler(HPA).

Example for autosccaling with KEDA using Prometheus metrics is given below:

kedaAutoscaling:
  enabled: true
  minReplicaCount: 1
  maxReplicaCount: 2
  idleReplicaCount: 0
  pollingInterval: 30
  advanced:
    restoreToOriginalReplicaCount: true
    horizontalPodAutoscalerConfig:
      behavior:
        scaleDown:
          stabilizationWindowSeconds: 300
          policies:
          - type: Percent
            value: 100
            periodSeconds: 15
  triggers: 
    - type: prometheus
      metadata:
        serverAddress:  http://<prometheus-host>:9090
        metricName: http_request_total
        query: envoy_cluster_upstream_rq{appId="300", cluster_name="300-0", container="envoy",}
        threshold: "50"
  triggerAuthentication:
    enabled: false
    name:
    spec: {}
  authenticationRef: {}

Example for autosccaling with KEDA based on kafka is given below :

kedaAutoscaling:
  enabled: true
  minReplicaCount: 1
  maxReplicaCount: 2
  idleReplicaCount: 0
  pollingInterval: 30
  advanced: {}
  triggers: 
    - type: kafka
      metadata:
        bootstrapServers: b-2.kafka-msk-dev.example.c2.kafka.ap-southeast-1.amazonaws.com:9092,b-3.kafka-msk-dev.example.c2.kafka.ap-southeast-1.amazonaws.com:9092,b-1.kafka-msk-dev.example.c2.kafka.ap-southeast-1.amazonaws.com:9092
        topic: Orders-Service-ESP.info
        lagThreshold: "100"
        consumerGroup: oders-remove-delivered-packages
        allowIdleConsumers: "true"
  triggerAuthentication:
    enabled: true
    name: keda-trigger-auth-kafka-credential
    spec:
      secretTargetRef:
        - parameter: sasl
          name: keda-kafka-secrets
          key: sasl
        - parameter: username
          name: keda-kafka-secrets
          key: username
  authenticationRef: 
    name: keda-trigger-auth-kafka-credential

Winter-Soldier

Winter Soldier can be used to

• cleans up (delete) Kubernetes resources
• reduce workload pods to 0

NOTE: After deploying this we can create the Hibernator object and provide the custom configuration by which workloads going to delete, sleep and many more. for more information check the main repo

Given below is template values you can give in winter-soldier:

winterSoilder:
  enable: false
  apiVersion: pincher.devtron.ai/v1alpha1
  action: sleep
  timeRangesWithZone:
    timeZone: "Asia/Kolkata"
    timeRanges: []
  targetReplicas: []
  fieldSelector: []

Here,

Key	values	Description
enable	false,true	decide the enabling factor
apiVersion	pincher.devtron.ai/v1beta1, pincher.devtron.ai/v1alpha1	specific api version
action	sleep,delete, scale	This specify the action need to perform.
timeRangesWithZone:timeZone	eg:- "Asia/Kolkata","US/Pacific"	It use to specify the timeZone used. (It uses standard format. please refer this)
timeRangesWithZone:timeRanges	array of [ timeFrom, timeTo, weekdayFrom, weekdayTo]	It use to define time period/range on which the user need to perform the specified action. you can have multiple timeRanges. These settings will take action on Sat and Sun from 00:00 to 23:59:59,
targetReplicas	[n] : n - number of replicas to scale.	These is mandatory field when the action is scale Default value is [].
fieldSelector	- AfterTime(AddTime( ParseTime({{metadata.creationTimestamp}}, '2006-01-02T15:04:05Z'), '5m'), Now())	These value will take a list of methods to select the resources on which we perform specified action .

here is an example,

winterSoilder:
  apiVersion: pincher.devtron.ai/v1alpha1 
  enable: true
  annotations: {}
  labels: {}
  timeRangesWithZone:
    timeZone: "Asia/Kolkata"
    timeRanges: 
      - timeFrom: 00:00
        timeTo: 23:59:59
        weekdayFrom: Sat
        weekdayTo: Sun
      - timeFrom: 00:00
        timeTo: 08:00
        weekdayFrom: Mon
        weekdayTo: Fri
      - timeFrom: 20:00
        timeTo: 23:59:59
        weekdayFrom: Mon
        weekdayTo: Fri
  action: scale
  targetReplicas: [1,1,1]
  fieldSelector: 
    - AfterTime(AddTime( ParseTime({{metadata.creationTimestamp}}, '2006-01-02T15:04:05Z'), '10h'), Now())

Above settings will take action on Sat and Sun from 00:00 to 23:59:59, and on Mon-Fri from 00:00 to 08:00 and 20:00 to 23:59:59. If action:sleep then runs hibernate at timeFrom and unhibernate at timeTo. If action: delete then it will delete workloads at timeFrom and timeTo. Here the action:scale thus it scale the number of resource replicas to targetReplicas: [1,1,1]. Here each element of targetReplicas array is mapped with the corresponding elements of array timeRangesWithZone/timeRanges. Thus make sure the length of both array is equal, otherwise the cnages cannot be observed.

The above example will select the application objects which have been created 10 hours ago across all namespaces excluding application's namespace. Winter soldier exposes following functions to handle time, cpu and memory.

• ParseTime - This function can be used to parse time. For eg to parse creationTimestamp use ParseTime({{metadata.creationTimestamp}}, '2006-01-02T15:04:05Z')
• AddTime - This can be used to add time. For eg AddTime(ParseTime({{metadata.creationTimestamp}}, '2006-01-02T15:04:05Z'), '-10h') ll add 10h to the time. Use d for day, h for hour, m for minutes and s for seconds. Use negative number to get earlier time.
• Now - This can be used to get current time.
• CpuToNumber - This can be used to compare CPU. For eg any({{spec.containers.#.resources.requests}}, { MemoryToNumber(.memory) < MemoryToNumber('60Mi')}) will check if any resource.requests is less than 60Mi.

Security Context

A security context defines privilege and access control settings for a Pod or Container.

To add a security context for main container:

containerSecurityContext:
  allowPrivilegeEscalation: false

To add a security context on pod level:

podSecurityContext:
  runAsUser: 1000
  runAsGroup: 3000
  fsGroup: 2000

Topology Spread Constraints

You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. This can help to achieve high availability as well as efficient resource utilization.

topologySpreadConstraints:
  - maxSkew: 1
    topologyKey: zone
    whenUnsatisfiable: DoNotSchedule
    autoLabelSelector: true
    customLabelSelector: {}

Deployment Metrics

It gives the realtime metrics of the deployed applications

Key	Description
Deployment Frequency	It shows how often this app is deployed to production
Change Failure Rate	It shows how often the respective pipeline fails.
Mean Lead Time	It shows the average time taken to deliver a change to production.
Mean Time to Recovery	It shows the average time taken to fix a failed pipeline.

2. Show application metrics

If you want to see application metrics like different HTTP status codes metrics, application throughput, latency, response time. Enable the Application metrics from below the deployment template Save button. After enabling it, you should be able to see all metrics on App detail page. By default it remains disabled.

Once all the Deployment template configurations are done, click on Save to save your deployment configuration. Now you are ready to create Workflow to do CI/CD.

Helm Chart Json Schema

Helm Chart json schema is used to validate the deployment template values.

Other Validations in Json Schema

The values of CPU and Memory in limits must be greater than or equal to in requests respectively. Similarly, In case of envoyproxy, the values of limits are greater than or equal to requests as mentioned below.

resources.limits.cpu >= resources.requests.cpu
resources.limits.memory >= resources.requests.memory
envoyproxy.resources.limits.cpu >= envoyproxy.resources.requests.cpu
envoyproxy.resources.limits.memory >= envoyproxy.resources.requests.memory