- Part 1 Summary
- Labels and Selectors
- Taints and Tolerations
- Node Selectors
- Node Affinity
- Resource Limits
- DaemonSet
- Static Pods
- Multiple Scheduler
- Configure K8s Scheduler
- Monitor Cluster Components
- Manage Application Logs
- Application Lifecycle Management
- Rolling Updates and Rollback
- Cmds and Args in Docker
- Cmds and Args in K8s
- Configure Environment Variables in Apps
- Configure Configmaps in Apps
- Secrets
Part 1 Summary
In Part 1, we have covered below topics. If you have not yet gone through that then you can follow below link for same:
Go to Part 1
- What is Kubernetes?
- Core Concepts
- Cluster Architecture
- Kube Proxy
- Pod
- Replica Sets
- Deployments
- Services (Cluster IP/ Load Balancer)
- Namespaces
- Imperative vs Declarative
- Manual Scheduling
Go to Part 1
Kubernetes is an open-source platform for managing containerized applications. It provides a wide range of features for automating the scaling, deployment, and management of those applications. In this blog post, we will take a detailed look at some of the key concepts and features of Kubernetes that are essential for effectively utilizing the platform in production environments.
Labels and Selectors
Labels and selectors are used to organize and identify resources in a Kubernetes cluster. Labels are key-value pairs that can be added to resources such as pods, services, and deployments. Selectors are used to filter resources based on their labels. This allows for easy management and organization of resources in a cluster.
Taints and Tolerations
Taints and tolerations are used to control how pods are scheduled on nodes. Taints are used to mark a node as “tainted,” and pods that do not have a matching toleration will not be scheduled on that node. This can be useful for isolating certain types of workloads or for performing maintenance on nodes.
Node Selectors
Node selectors are used to manually schedule pods to run on specific nodes. This can be useful in certain situations, such as when you want to separate certain types of workloads onto specific nodes.
Node Affinity
Node affinity is used to express the desired or required co-location of pods on the same node. This can be useful for workloads that require low-latency communication between pods.
Resource Limits
Resource limits are used to control the amount of resources that a pod can consume. This can be useful for preventing pods from consuming too many resources and impacting the performance of other pods in the cluster.
DaemonSet
A DaemonSet ensures that all (or some) Nodes run a copy of a Pod. As nodes are added to the cluster, Pods are added to them. As nodes are removed from the cluster, those Pods are garbage collected. Deleting a DaemonSet will clean up the Pods it created.
Static Pods
Static pods are pods that are created and managed directly by the kubelet, rather than by the API server. This can be useful for running pods on nodes that are not managed by the API server, such as worker nodes that are not running the API server.
Multiple Scheduler
Kubernetes supports multiple scheduler. You can write your own scheduler or use one from the community. Scheduler can be configured to meet specific needs or constraints.
Configure K8s Scheduler
Kubernetes scheduler can be configured to meet specific needs or constraints. For example, you can configure scheduler to use specific algorithms for scheduling or to prefer certain types of nodes.
Monitor Cluster Components
Kubernetes provides several built-in tools for monitoring the health and performance of cluster components. These tools can be used to identify issues and take corrective action.
Manage Application Logs
Kubernetes provides several built-in tools for managing application logs. These tools can be used to collect and analyze logs from pods and services in a cluster.
Application Lifecycle Management
Kubernetes provides several features for managing the lifecycle of applications. This includes features for scaling, rolling updates, and rollbacks.
Rolling Updates and Rollback
Kubernetes provides several features for rolling updates and rollbacks. This can be useful for updating applications with minimal disruption to the users.
Cmds and Args in Docker
Cmds and Args in Docker are used to specify the command and arguments that should be run when a container is started. These can be configured in the Dockerfile or through the docker run command.
Cmds and Args in K8s
Cmds and Args in K8s are used to specify the command and arguments that should be run when a pod is created. These can be configured in the pod definition file or through the kubectl run command.
Configure Environment Variables in Apps
Kubernetes allows you to configure environment variables for your applications. These environment variables can be used to set configuration options or to pass information to the application.
Configure Configmaps in Apps
Kubernetes allows you to configure Configmaps for your applications. Configmaps can be used to store configuration information that can be accessed by the application.
Secrets
Kubernetes allows you to store secrets, such as passwords and tokens, in a secure way. These secrets can be accessed by the application without being exposed in the environment.
In conclusion, Kubernetes is a powerful platform for managing containerized applications. It provides a wide range of features for automating the scaling, deployment, and management of those applications. By understanding the core concepts and features of Kubernetes, you can effectively utilize the platform in production environments.