Why we need etcd in k8s
etcd
is a distributed key-value store that is used as the backing store for all cluster data in Kubernetes. It plays a crucial role in Kubernetes' architecture by providing a consistent and highly available data store. Here are some of the key reasons why etcd
is essential in Kubernetes:
Key Reasons for Using etcd
in Kubernetes:
-
Configuration Management:
etcd
stores the configuration data for the entire Kubernetes cluster. This includes information about nodes, pods, services, replication controllers, and other resources.- This configuration data can be queried and modified via the Kubernetes API server.
-
Service Discovery:
etcd
helps with service discovery by maintaining information about the services and their associated endpoints.- Kubernetes uses
etcd
to store the cluster’s service registry, making it possible for different components to discover and communicate with each other.
-
State Management:
etcd
maintains the desired and current state of the Kubernetes cluster.- It ensures that the actual state of the cluster matches the desired state as defined by the users through deployments, services, and other resources.
- When a change is made to the desired state (e.g., scaling a deployment), Kubernetes uses
etcd
to persist these changes and reconcile the actual state to match the desired state.
-
High Availability and Consistency:
etcd
is designed to be highly available and consistent, using the Raft consensus algorithm to ensure data integrity and consistency across distributed instances.- This high availability is crucial for Kubernetes clusters to maintain continuous operation even if some of the etcd nodes fail.
-
Leader Election and Coordination:
etcd
supports leader election and coordination among distributed components.- Kubernetes components (like the controller manager) use
etcd
to elect a leader and coordinate their actions to avoid conflicts and ensure smooth cluster operations.
-
Storage of Secrets and Configuration Data:
- Kubernetes uses
etcd
to store sensitive information such as secrets and configuration data (ConfigMaps). - This data is stored securely and can be accessed by various components and applications running within the cluster.
- Kubernetes uses
Example of How etcd
Works in Kubernetes:
-
Storing Cluster State:
- When you create a new deployment, the Kubernetes API server receives the request and stores the deployment object in
etcd
. - The scheduler and controller manager then read this information from
etcd
to take necessary actions, such as scheduling pods on nodes and ensuring the desired number of replicas.
- When you create a new deployment, the Kubernetes API server receives the request and stores the deployment object in
-
Service Discovery:
- When a new service is created, the API server stores service information in
etcd
. - Other components, such as kube-proxy, read this information to set up routing rules for the service.
- When a new service is created, the API server stores service information in
-
Cluster Updates:
- When a node is added or removed from the cluster, the node information is updated in
etcd
. - The scheduler reads this information to make decisions about where to place new pods.
- When a node is added or removed from the cluster, the node information is updated in
Published on: Jul 03, 2024, 06:26 AM