Day 61 · Kubernetes

Init Containers in Kubernetes

By Varun DeshpandePublished 2026-07-19Kubernetes~1h to complete

Technical Overview

A standard Kubernetes Pod is designed to host one or more application containers running concurrently for the life of the Pod. However, applications often require initialization steps—such as configuring environment files, running database migrations, or waiting for helper services to be online—before the main application container starts.

Kubernetes addresses this pre-requisite requirement using Init Containers. An Init Container is a specialized container that runs to completion before any app containers start.

Kubernetes Init Containers Deep Dive

Init Containers are defined inside the Pod specification under the initContainers array, parallel to the containers array.

Init Container Lifecycle Rules

1. Sequential Execution

Unlike application containers that start in parallel, if a Pod has multiple Init Containers, they run sequentially, one by one. Each Init Container must exit successfully (with exit code 0) before the next one starts.

2. Re-execution and Restart Policy

If an Init Container fails, Kubernetes restarts the entire Pod repeatedly until the Init Container succeeds. However, if the Pod's restartPolicy is set to Never and an Init Container fails, the Pod status immediately transitions to Failed and execution stops.

3. Active Probes Exclusion

Init Containers do not support liveness, readiness, or startup probes. Because they are designed to run to completion and terminate, they do not remain active to be probed.

4. Pod Readiness Block

A Pod cannot transition into the Ready status (and therefore cannot receive traffic from a Service) until all Init Containers have successfully terminated and the main application containers are running and report ready.

Resource Requests and Limits Allocation

Kubernetes schedules Pods based on their resource requirements. For a Pod with Init Containers, the resource requests and limits are calculated using the following formulas:

$$\text{Pod Request} = \max\left(\max(\text{Init Container Requests}), \sum(\text{App Container Requests})\right)$$

$$\text{Pod Limit} = \max\left(\max(\text{Init Container Limits}), \sum(\text{App Container Limits})\right)$$

Why? Since Init Containers run sequentially and terminate before the application containers start, they never consume resources at the same time as the application containers. Therefore, the scheduler only needs to allocate enough resources for the heaviest initialization phase, or the sum of all concurrently running application containers (whichever is larger).

Infrastructure & Configuration Requirements

• Target Cluster: Nautilus Kubernetes Cluster
• Jump Host User: thor
• Namespace: default
• Deployment Details:
  • Name: ic-deploy-xfusion
  • Replicas: 1
• Shared Volume Details:
  • Name: ic-volume-xfusion
  • Type: emptyDir
  • Mount Path (Both Containers): /ic
• Init Container Details:
  • Name: ic-msg-xfusion
  • Image: ubuntu:latest
  • Command: ["/bin/bash", "-c", "echo Init Done - Welcome to xFusionCorp Industries > /ic/beta"]
• Main Container Details:
  • Name: ic-main-xfusion
  • Image: ubuntu:latest
  • Command: ["/bin/bash", "-c", "while true; do cat /ic/beta; sleep 5; done"]

Step-by-Step Implementation

Step 1: Connect to the Kubernetes Jump Host

SSH from your administrator terminal:

ssh thor@jump_host_ip

Step 2: Create the Deployment Manifest

Create a file named ic-deploy.yaml declaring the Deployment, the shared volume, the initContainers block, and the containers block:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: ic-deploy-xfusion
  labels:
    app: ic-app
spec:
  replicas: 1
  selector:
    matchLabels:
      app: ic-app
  template:
    metadata:
      labels:
        app: ic-app
    spec:
      volumes:
      - name: ic-volume-xfusion
        emptyDir: {}
      initContainers:
      - name: ic-msg-xfusion
        image: ubuntu:latest
        command: ["/bin/bash", "-c", "echo Init Done - Welcome to xFusionCorp Industries > /ic/beta"]
        volumeMounts:
        - name: ic-volume-xfusion
          mountPath: /ic
      containers:
      - name: ic-main-xfusion
        image: ubuntu:latest
        command: ["/bin/bash", "-c", "while true; do cat /ic/beta; sleep 5; done"]
        volumeMounts:
        - name: ic-volume-xfusion
          mountPath: /ic

Step 3: Deploy the Manifest

Apply the configuration:

kubectl apply -f ic-deploy.yaml

Expected Output:

deployment.apps/ic-deploy-xfusion created

Step 4: Monitor Pod Lifecycle Transitions

Observe the Pod startup states in real-time. You will watch it transition through initialization phases:

kubectl get pods -w -l app=ic-app

Expected Output Transition:

NAME                                 READY   STATUS              RESTARTS   AGE
ic-deploy-xfusion-7f8a9b0c-abcde     0/1     Pending             0          0s
ic-deploy-xfusion-7f8a9b0c-abcde     0/1     Init:0/1            0          2s
ic-deploy-xfusion-7f8a9b0c-abcde     0/1     PodInitializing     0          5s
ic-deploy-xfusion-7f8a9b0c-abcde     1/1     Running             0          7s

Note:

• Init:0/1 means 0 out of 1 Init Containers have completed successfully.
• PodInitializing indicates that the Init Container completed successfully with exit code 0, and the main container is now starting up.

Post-Deployment Verification

1. Read Logs of the Main Container

Query the logs of the ic-main-xfusion container to verify that the file written by the Init Container is successfully read:

# Get the generated Pod name
POD_NAME=$(kubectl get pods -l app=ic-app -o jsonpath='{.items[0].metadata.name}')

# View logs from the app container
kubectl logs $POD_NAME -c ic-main-xfusion

Expected Output repeating every 5 seconds:

Init Done - Welcome to xFusionCorp Industries
Init Done - Welcome to xFusionCorp Industries

2. Verify Shared File Presence Interactively

Exec directly into the running application container and inspect the /ic/beta file:

kubectl exec -it $POD_NAME -c ic-main-xfusion -- cat /ic/beta

Expected Output:

Init Done - Welcome to xFusionCorp Industries

This confirms the Init Container successfully terminated and passed the setup details to the application container via the shared volume!