Adding container orchestrator docs

Author: resizes-bot

docs/container-orchestrator/introduction.md

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 # What is Container Orchestration?
 
-Container orchestration is the process of managing the lifecycle of containers, especially in large, dynamic environments. It involves automating the deployment, scaling, and management of containerized applications. Container orchestration tools provide a platform for defining, deploying, and managing a set of interconnected containers.
+Container orchestration is a critical component in the field of platform engineering, enabling teams to automate the deployment, management, scaling, and networking of containers. This documentation covers key concepts, components, and best practices in container orchestration from a Platform Engineering perspective.
 
-:::warning
-🚧 Work in progress 🚧
-:::
+## Introduction
+
+Container orchestration facilitates the efficient management of microservices and applications packaged as containers. Containers encapsulate an application's code, libraries, and dependencies into a single object, ensuring consistency across different environments and simplifying deployment processes. Container orchestration tools provide the automation and management capabilities necessary to operate these containers at scale.
+
+## Core Concepts
+
+- **Container**: A lightweight, standalone, executable package that includes everything needed to run a piece of software, including the code, runtime, system tools, system libraries, and settings.
+- **Cluster**: A collection of machines that run containerized applications. These machines are managed by the orchestration tool and can be physical or virtual.
+- **Pod**: The smallest deployable unit in Kubernetes, which can contain one or more containers that share storage, network, and specifications on how to run the containers.
+- **Service Discovery**: The automatic detection of devices and services offered by these devices on a computer network.
+- **Load Balancing**: The process of distributing network traffic across multiple servers to ensure no single server bears too much demand.
+
+## Key Components
+
+- **Orchestration Engine**: The core component responsible for managing the lifecycle of containers. Examples include Kubernetes, Docker Swarm, and Apache Mesos.
+- **Scheduling**: The process of allocating containers to nodes in the cluster based on the resources required by each container and the resources available on the nodes.
+- **Service Mesh**: An infrastructure layer that facilitates service-to-service communication between services or microservices, using a proxy. Examples include Istio and Linkerd.
+- **Monitoring and Logging**: Tools and services that collect, aggregate, and analyze logs and metrics from containers and applications. Examples include Prometheus for monitoring and Elasticsearch, Logstash, and Kibana (ELK) for logging.
+
+## Best Practices
+
+### Security
+
+- Implement role-based access control (RBAC) to ensure that only authorized users can perform operations on the container orchestration platform.
+- Use secrets management to handle sensitive information such as passwords, tokens, and keys securely.
+- Regularly scan containers and images for vulnerabilities.
+
+### Scalability
+
+- Design applications to be stateless wherever possible, enabling easy scaling and management.
+- Utilize horizontal pod autoscaling to automatically adjust the number of pods in a deployment based on CPU usage or other selected metrics.
+
+### Reliability and High Availability
+
+- Deploy applications across multiple nodes and availability zones to prevent a single point of failure.
+- Implement health checks and readiness probes to ensure traffic is only directed to healthy instances of your applications.
+
+### Continuous Integration and Deployment (CI/CD)
+
+- Automate the build, test, and deployment processes to reduce manual errors and improve efficiency.
+- Use GitOps practices for declarative management of infrastructure and applications, enabling easy version control and rollback.
+
+### Observability
+
+- Instrument applications with metrics, logs, and traces to gain insights into their behavior and performance.
+- Use distributed tracing to understand the flow of requests through complex microservices architectures.
+
+## Conclusion
+
+Container orchestration is a fundamental technology for managing containerized applications at scale. By automating the deployment, scaling, and management of containers, orchestration tools enable teams to build, deploy, and operate applications more efficiently and reliably. This documentation provides an overview of key concepts, components, and best practices in container orchestration, serving as a foundation for further exploration and learning.

docs/container-orchestrator/kubernetes.md

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+---
+sidebar_position: 2
+---
+
+# Kubernetes
+
+Kubernetes is a powerful tool for managing containerized applications in a clustered environment. It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation. Kubernetes abstracts the hardware infrastructure layer, allowing applications to be deployed and managed without being tied to individual cloud or data center setups.
+
+:::info
+**Note:** The name "Kubernetes" is derived from the Greek word for "helmsman" or "pilot," reflecting its role in steering and managing containerized applications. You can find more information about Kubernetes on the [official website](https://kubernetes.io/).
+:::
+
+## Why Kubernetes?
+
+- **Portability**: Run your applications on any public cloud, private cloud, or on-premises.
+- **Scalability**: Automatically scale your application up or down based on demand.
+- **High Availability**: Ensures your application is always available, despite failures.
+- **Automated Deployments and Rollbacks**: Streamline application updates and rollbacks with zero downtime.
+- **Service Discovery and Load Balancing**: Expose your application using a DNS name or IP address without needing to configure external load balancers manually.
+
+## Core Concepts
+
+Understanding Kubernetes requires familiarity with several key concepts:
+
+- **Pods**: The smallest deployable units created and managed by Kubernetes, which can contain one or more containers.
+- **Services**: An abstract way to expose an application running on a set of Pods as a network service.
+- **Deployments**: Manage the deployment and scaling of a set of Pods, and allow for updates to applications with rollouts and rollbacks.
+- **Volumes**: Enable data to persist beyond the lifecycle of an individual Pod, supporting various storage backends.
+- **Namespaces**: Provide a scope for names, allowing you to divide cluster resources between multiple users.
+
+## Architecture
+
+Kubernetes clusters are composed of two main types of resources:
+
+- **Master Node**: Manages the cluster and schedules applications to run on Worker Nodes.
+    - **API Server**: Serves the Kubernetes API using JSON over HTTP, allowing users, the master components, and external components to communicate.
+    - **Scheduler**: Watches for newly created Pods with no assigned node, and selects a node for them to run on.
+    - **Controller Manager**: Runs controller processes, handling routine tasks in the cluster.
+    - **etcd**: A consistent and highly-available key value store used as Kubernetes' backing store for all cluster data.
+
+- **Worker Nodes**: Run the applications and workloads.
+    - **Kubelet**: An agent that runs on each node, ensuring containers are running in a Pod.
+    - **Kube-Proxy**: Maintains network rules on nodes, allowing network communication to your Pods from network sessions inside or outside your cluster.
+    - **Container Runtime**: The software responsible for running containers (e.g., Docker, containerd).
+
+## Getting Started with Kubernetes
+
+To get started with Kubernetes, you can set up a cluster on your local machine, use a cloud provider that offers Kubernetes as a service, or install it on bare metal servers. Tools and Platforms:
+
+- **Minikube**: A tool that allows you to run Kubernetes locally.
+- **Kubectl**: The command line tool for interacting with the Kubernetes API.
+- **Cloud Providers**: Services like Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), and Azure Kubernetes Service (AKS) offer managed Kubernetes environments.
+
+## Key Operations
+
+- **Deploying Applications**: Use Kubernetes to deploy and manage your application in a clustered environment.
+- **Scaling Applications**: Automatically scale your services up or down based on demand.
+- **Updating Applications**: Roll out updates to your applications seamlessly and roll back if anything goes wrong.
+- **Monitoring and Logging**: Keep track of your cluster's health and the performance of your applications.
+
+## Conclusion
+
+Kubernetes is a powerful platform for managing containerized applications, offering scalability, portability, and high availability. It abstracts the complexity of managing a distributed system, allowing developers and platform engineers to focus on building robust applications. As Kubernetes continues to evolve, staying up-to-date with its features and capabilities is crucial for anyone managing containerized applications.