Understanding Kubernetes Pods, ReplicaSets, and Deployments
Akash Gupta
Senior Software Engineer@Algorisys || React.js, Node.js, Angular.js, Express, Fastify || PostgreSQL proficient
Kubernetes is a powerful container orchestration tool that helps manage containerized applications. Three key concepts in Kubernetes are Pods, ReplicaSets, and Deployments. Each of these plays a critical role in deploying, scaling, and managing applications efficiently. This article explains these concepts, their limitations, and how they interact.
1. Pods in Kubernetes
A Pod is the smallest deployable unit in Kubernetes. A Pod can contain one or more containers that share storage and network resources.
Limitations of Pods:
Pod YAML Configuration
Here is an example YAML file to create a Pod:
apiVersion: v1
kind: Pod
metadata:
labels:
app: my-backend-pod
name: my-backend-pod
namespace: local-devops
spec:
containers:
- name: my-backend
imagePullPolicy: IfNotPresent
image: localhost:32000/my-backend:3d19f8a38e86b2fef1d8e10e70577a0c55f8247d
ports:
- containerPort: 8080
readinessProbe:
httpGet:
path: /ready-check
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
livenessProbe:
httpGet:
path: /live-check
port: 8080
initialDelaySeconds: 10
periodSeconds: 10
2. ReplicaSets: The Solution to Pod Limitations
A ReplicaSet ensures that a specified number of Pod replicas are running at all times. If a Pod fails, the ReplicaSet automatically replaces it.
Limitations of ReplicaSets:
ReplicaSet YAML Configuration
Here is an example YAML file to create a ReplicaSet:
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apiVersion: apps/v1
kind: ReplicaSet
metadata:
labels:
app: my-backend-replicaset
name: my-backend-replicaset
namespace: local-devops
spec:
replicas: 3
selector:
matchLabels:
app: my-backend
template:
metadata:
labels:
app: my-backend
spec:
containers:
- name: my-backend
imagePullPolicy: IfNotPresent
image: localhost:32000/my-backend:3d19f8a38e86b2fef1d8e10e70577a0c55f8247d
ports:
- containerPort: 8080
readinessProbe:
httpGet:
path: /ready-check
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
livenessProbe:
httpGet:
path: /live-check
port: 8080
initialDelaySeconds: 10
periodSeconds: 10
3. Deployments: The Ultimate Solution
A Deployment provides advanced features like rolling updates, rollbacks, and declarative updates to Pods and ReplicaSets.
Advantages of Deployments:
Deployment YAML Configuration
Here is an example YAML file to create a Deployment:
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: my-backend-deployment
name: my-backend-deployment
namespace: local-devops
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
selector:
matchLabels:
app: my-backend
template:
metadata:
labels:
app: my-backend
spec:
containers:
- name: my-backend
imagePullPolicy: IfNotPresent
image: localhost:32000/my-backend:v2
ports:
- containerPort: 8080
readinessProbe:
httpGet:
path: /ready-check
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
livenessProbe:
httpGet:
path: /live-check
port: 8080
initialDelaySeconds: 10
periodSeconds: 10
4. Creating a Namespace
To organize resources efficiently, we create a namespace:
apiVersion: v1
kind: Namespace
metadata:
name: local-devops
labels:
name: local-devops
Conclusion
Using Deployments is the best practice for managing applications in Kubernetes. By defining the number of replicas and version updates in the YAML file, Kubernetes ensures scalability and reliability.