Table of contents
Containers
- Containers are lightweight, standalone, and executable packages that include everything needed to run a piece of software, including the code, runtime, system tools, libraries, and settings.
- Containers provide consistency across development, testing, and production environments.
- They can run consistently on any platform that supports containerization, regardless of differences in the underlying infrastructure.
- Docker is one of the most popular containerization platforms.
- Developers use Docker to create, deploy, and run applications in containers.
- Docker containers are isolated from one another and share the host operating system's kernel, making them efficient and portable.
Kubernetes
- Kubernetes is an open-source container orchestration platform originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF).
- It provides a way to automate the deployment, scaling, and management of containerized applications.
- Kubernetes abstracts away the underlying infrastructure, allowing you to define how your application should run and scale in a declarative way.
- You specify the desired state of your application, and Kubernetes takes care of making it happen.
- Kubernetes includes features for automated load balancing, scaling, rolling updates, self-healing, and more.
- It can manage containerized applications across a cluster of machines, whether on-premises or in the cloud.
Container Orchestration Tools
- Container orchestration tools are used to automate the management of containers in a production environment. Kubernetes is the most widely used tool for this purpose, but there are alternative solutions, such as:
- Docker Swarm: A simple and integrated orchestration tool provided by Docker, designed for smaller-scale container deployments.
- Apache Mesos: An open-source cluster manager that can run various workloads, including containers, in a distributed and efficient manner.
- Amazon ECS (Elastic Container Service): A managed container orchestration service from AWS that simplifies container management and deployment in the AWS cloud.
- Container orchestration tools help with the following tasks:
Service Discovery
Automatically detecting and routing traffic to running containers.
Load Balancing
Distributing incoming traffic across containers to ensure high availability and performance.
Scaling
Automatically adjusting the number of container instances based on resource usage or incoming requests.
Rolling Updates
Replacing old container versions with new ones without causing service downtime.
Health Monitoring
Continuously checking the health of containers and restarting or replacing unhealthy ones.
Conclusion
You can read other articles written by me through these links.
System Design Series
Introduction To Parallel Computing
Deep Dive Into Virtualization
Insights Into Distributed Computing
Cloud Computing Series
1. Cloud Service Models
2. Cloud Deployment Models
3. Cloud Security
4. Cloud Architecture
5. Cloud Storage
6. Networking In The Cloud
7. Cloud Cost Management
8. DevOps In Cloud & CI/CD
9. Serverless Computing
10. Container Orchestration
11. Cloud Migration
12. Cloud Monitoring & Management
13. Edge Computing In Cloud
14. Machine Learning In Cloud
Computer Networking Series
1. Computer Networking Fundamentals
2. OSI Model
3. TCP/IP Model : Application Layer
4. TCP/IP Model : Transport Layer
5. TCP/IP Model : Network Layer
6. TCP/IP Model : Data Link Layer
Version Control Series
1. Complete Guide to Git Commands
2. Create & Merge Pull Requests
3. Making Open Source Contributions
Linux
Complete Guide to Linux Commands
Thanks For Reading! 💙
Garvit Singh