Kubernetes
28 articles in this category.
Securely Managing Application Configuration with Kubernetes Secrets and ConfigMaps
Introduction When deploying applications in Kubernetes, managing configuration data securely and efficiently is critical. Kubernetes provides Secrets for handling sensitive data like passwords and API keys, and ConfigMaps for storing non-sensitive configuration data such as environment variables and application settings. In this blog, we’ll explore: Using Kubernetes Secrets for Secure Data Management Secrets in Kubernetes…
Deploying Without Downtime in Kubernetes
Introduction Ensuring zero downtime during deployment updates is a crucial requirement for modern applications. Kubernetes provides a RollingUpdate strategy that allows you to update applications seamlessly without disrupting users. Why Use Rolling Updates? A rolling update gradually replaces old pods with new ones, ensuring that your application remains available during deployment. Key features: Example: Kubernetes…
Sharing Data Between Containers in a Multi-Container Pod
Introduction In Kubernetes, a Pod can contain multiple containers that need to share data with each other. Unlike inter-process communication (IPC) or networking, sharing data using volumes allows efficient and persistent storage within a pod. Scenario Imagine you have a logging system where one container generates logs, and another container processes those logs in real…
Kubernetes Resource Management and Autoscaling: Best Practices
In modern cloud-native applications, efficient resource allocation and autoscaling are crucial to optimizing performance and cost. Kubernetes provides robust mechanisms for managing pod resources and automatically scaling workloads. This blog will explore how to configure resource requests, limits, and both Horizontal and Vertical Pod Autoscaler (HPA and VPA) with practical examples. Understanding Resource Requests and…
Kubernetes Workloads: A Comprehensive Overview
Deployments: Ideal for stateless applications, deployments manage pods independently, treating them as disposable entities. Kubernetes automatically replaces disrupted pods to maintain the desired application state.DaemonSets: Ensuring that every node in the cluster runs a copy of a particular pod, DaemonSets are perfect for scenarios like log collection or monitoring node performance.ReplicaSets: As the name suggests, ReplicaSets maintains a specified number of pod replicas at any given time, ensuring high availability and fault tolerance.StatefulSets: Designed for applications requiring persistent identity and data storage, StatefulSets are akin to Deployments but are equipped to handle stateful workloads. They are commonly used for applications like databases where data persistence is crucial.Jobs: Utilized for running finite tasks to completion, Jobs launch one or more pods and ensure a specified number of them successfully terminate. They are suitable for tasks that don't require ongoing management of application states.CronJobs: Similar to Jobs, CronJobs executes tasks on a predefined schedule using a cron-based approach. They are handy for periodic tasks such as backups or data processing.
DaemonSets
DaemonSet is a Kubernetes resource that ensures a specific pod runs on every node in a cluster. It's like a manager that makes sure a particular task or service is always running on each worker node. So, if you have ten nodes, you'll have ten copies of that pod, one on each node.
Kubernetes Easy to Learn and Practice Labs end2end
Learn and Practice
Kubernetes Deployment
kubernetes deployment more details with yaml manifest, creation, deletion,rollout, Rollback, Rollout history, and scaling.
Kubernetes Pods
More details about pod, manifest creation, delation, edit, update, Pod Lifecycle, Multi-Container Pods, Init Containers.