KUBERNETES IS EASY
Kubernetes is the future of DevOps.
- Kubernetes is the key player in the market and is mentioned in all job descriptions.
- With the shift towards microservices, learning Kubernetes is crucial for a long-term DevOps journey.
Understanding the basics of containers is crucial before diving into Kubernetes.
- Containers are important in the field of DevOps.
- Docker is commonly known and referred to when discussing containers.
Containers can die and impact other containers due to resource constraints.
- Containers have a short lifespan if there is a lack of memory resources or issues with the container itself.
- Linux has a priority structure for processes and will kill processes based on certain algorithms when resources are limited.
The nature of Docker is scoped to a single host, impacting containers on the host if one container is affected.
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Auto healing is a behavior where a container starts by itself without manual intervention.
- DevOps engineers cannot continuously monitor a large number of containers.
Auto scaling is necessary to handle increased load on containers.
- Manually increasing the container count or creating similar containers.
- Load balancing is essential for managing user traffic and maintaining a seamless user experience.
Docker platform
lacks features like load balancing, auto healing, and auto scaling.
- Load balancer and auto scaling are missing in Docker, which makes it difficult to distribute the load equally and handle increased traffic.
- Auto healing is not supported in Docker, leading to manual tracking and restarting of containers when they fail.
- Docker is a minimalistic platform that
lacks enterprise level support, making it unsuitable for running complex applications.
Kubernetes is a
cluster that consists of a master node and multiple nodes.
- In production, Kubernetes is installed in a master node architecture, where multiple nodes are created.
- However, for development purposes, Kubernetes can also be installed on a single node.
Kubernetes provides cluster-like architecture and auto healing capabilities.
- Kubernetes allows containers to be distributed across multiple nodes, preventing one container from impacting another.
- Kubernetes utilizes replica sets to automatically deploy and manage containers, eliminating the need for manual container deployment.
Kubernetes has a feature called Auto healing
- Auto healing feature in Kubernetes ensures that whenever a container is going down, Kubernetes will start a new container even before the existing container goes down.
- Kubernetes uses the API server to detect when a container is going down and immediately rolls out a new container to replace it.
Kubernetes solves four key problems: auto healing, auto scaling, support for enterprise features, and compatibility with Borg.
- Kubernetes ensures that a new container is started before an old container goes down, allowing for auto healing.
- Kubernetes allows for auto scaling by creating new pods when needed.
- Unlike Docker, Kubernetes has enterprise support capabilities such as
firewalls and load balancers.
- Kubernetes is inspired by
Google's Borg tool and can be considered an initial solution for Borg.
Kubernetes aims to solve the problem of denial of service attacks, but it doesn't solve it 100 percent.
- Kubernetes is more complex than working with virtual machines, requiring expertise and consultation with experts in the field.
- Kubernetes is constantly evolving with support from the CNCF community, with regular enhancements and the development of additional tools and projects.
Kubernetes solves the problem of advanced load balancing capabilities by introducing custom resources and Ingress controllers.
- Kubernetes is advancing and improving every day.
- Some companies hesitate to implement Kubernetes in production due to lack of support.
- Kubernetes is a tool that you should watch out for.
- Understanding the why statement behind learning Kubernetes is crucial.
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