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Pablo Rossi
Pablo Rossi
29 days ago

What is Kubernetes?Kubernetes, is an open-source container orchestration platform. It automates the deployment, scaling, and management of containerized applications. Initially developed by Google, Kubernetes is now maintained by the Cloud Native Computing Foundation (CNCF). It is designed to facilitate the operation of containerized applications across clusters of hosts, providing mechanisms for deployment, maintenance, and scaling of applications.

Why Kubernetes?1. Container Orchestration: Kubernetes manages containers in a way that automates many operational tasks such as scaling, deployment, and networking.
2. Scalability: It can handle a large number of containers, scaling them up and down automatically based on load.
3. High Availability: Kubernetes provides features such as replication, load balancing, and failover to ensure application availability and reliability.
4. Resource Optimization: Kubernetes schedules containers to run on cluster nodes in an efficient manner, optimizing resource usage.
5. Infrastructure Abstraction: It abstracts underlying infrastructure, allowing for easy deployment across different environments, whether on-premises, in the cloud, or in a hybrid setup.
6. Declarative Configuration: Users can declare the desired state of the system using YAML or JSON files, and Kubernetes works to maintain this state.
7. Ecosystem and Community: Kubernetes has a large, active community and a rich ecosystem of tools and extensions that integrate with the platform.

How Kubernetes?Kubernetes operates through a cluster, typically composed of one or more master nodes and several worker nodes:

  1. Master Node: Controls the cluster, managing the scheduling, deployment, and scaling of applications.
  • API Server: Exposes the Kubernetes API, the main entry point for all administrative tasks.
  • etcd: A key-value store for all cluster data.
  • Controller Manager: Ensures that the desired state of the cluster matches the actual state.
  • Scheduler: Assigns tasks to worker nodes based on resource availability and other constraints.
  1. Worker Nodes: Execute the containerized applications.
  • kubelet: An agent running on each node that ensures containers are running as expected.
  • kube-proxy: Manages network routing for services within the cluster.
  • Container Runtime: The software responsible for running containers, such as Docker, containerd, or CRI-O.

Kubernetes Architecture

  1. Nodes:
  • Master Node: The control plane, responsible for managing the state of the cluster.
  • API Server: Front-end to the control plane, handling REST operations.
  • etcd: Stores the configuration data of the cluster, ensuring high availability.
  • Controller Manager: Runs controllers to regulate the state of the cluster.
  • Scheduler: Assigns work to nodes based on resource availability and policies.

  • Worker Nodes: Execute the workloads.
  • kubelet: Manages containers on its node.
  • kube-proxy: Handles networking, load balancing, and routing.
  1. Pods: The smallest deployable units in Kubernetes, consisting of one or more containers.
  2. Services: Abstract a set of pods, providing a stable endpoint for external access and load balancing.
  3. Volumes: Persistent storage that containers in a pod can share.
  4. Namespaces: Logical partitions within a cluster for isolation and resource management.
  5. Controllers:
  • ReplicaSet: Ensures a specified number of pod replicas are running.
  • Deployment: Manages ReplicaSets and provides declarative updates.
  • StatefulSet: Manages stateful applications.
  • DaemonSet: Ensures a copy of a pod runs on every node.
  • Job and CronJob: Manages batch jobs and scheduled tasks.
  1. ConfigMaps and Secrets: Manage configuration data and sensitive information respectively
29 days ago
  1. Kubernetes is a tool that helps manage and orchestrate how applications and services run in a complex, large-scale computing environment
  2. Kubernetes makes it easier for developers and IT teams to manage and deploy the applications in a reliable and efficient way.
  3. It consists of 5 parts.
  • Containers: Kubernetes uses containers to package each app or service with everything it needs to run, like code, libraries, and settings. It keeps them isolated from each other, so they don’t interfere.
  • Deployment: You tell Kubernetes what apps you want to run and how many copies you need. It makes sure to start and stop them as needed, so your apps are always available.
  • Scaling: If your apps get popular and need more power, Kubernetes can quickly create more copies to handle the load. When things quiet down, it can shrink them back down to save resources.
  • Communication: Kubernetes sets up networking between your apps, so they can talk to each other. It also manages storage, making sure each app has the right amount of space to store data.
  • Monitoring and Healing: It keeps an eye on your apps, restarting them if they crash and replacing them if they fail. This keeps everything running smoothly without you needing to watch constantly.
  1. Kubernetes architecture consists of master node, work node, pod, services and networking.
  • master node had 4 components which include API server, Scheduler, Controller manager and etcd.
  • worker node had Kubelet, container runtime and kube-proxy.
  • Pods are managed by the Kubernetes API and can be horizontally scaled.
  • Services provide an abstraction layer to define a logical set of Pods and a policy by which to access them.
  • Kubernetes networking allows Pods to communicate with each other and with other network endpoints.
Ariel Balduzzi
Ariel Balduzzi
29 days ago

What is Kubernetes?
Kubernetes is an open-source container orchestration system for automating software deployment, scaling, and management.

Why Kubernetes?
Reducing resource costs
Ease-of-use and portability
Scalability and modularity
Impressive heritage
Outstanding community and industry support
Rich feature set and application support
Ongoing development

How Kubernetes?
Kubernetes deployments define the scale at which you want to run your application by letting you set the details of how you would like pods replicated on your Kubernetes nodes. Kubernetes node manages and runs pods; it’s the machine (whether virtualized or physical) that performs the given work. Just as pods collect individual containers that operate together, a node collects entire pods that function together.

Kubernetes Architecture?
 |– Master nodes
|– etcd
|– api-server
|– scheduler
|– controller
 |– Worker nodes (executes user load)
|– kubelet
|– kube-proxy
|– container management

Cesar Emmanuel Gonzalez Rodriguez
Cesar Emmanuel Gonzalez Rodriguez
29 days ago

 What is Kubernetes?

Kubernetes is an open source platform designed to automate the deployment, scaling, and management of containerized applications. Originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF), Kubernetes makes it easy to manage distributed applications across multiple environments, from on-premises data centers to public clouds such as AWS, Azure, and Google Cloud.

 Why use Kubernetes?

1. Container Orchestration: Kubernetes simplifies the management of containerized applications by automating tasks such as deployment, scaling, and failover.

2. Scalability: Allows applications to automatically scale based on resource demand, ensuring that there are always enough instances available to handle changing workloads.

3. Portability: Kubernetes offers an abstraction layer that allows applications to run consistently in different environments, providing flexibility and eliminating dependency on a specific infrastructure.

4. Resilience: Facilitates self-healing of applications by automatically detecting and replacing faulty or non-responsive containers, ensuring continuous application availability.

5. Ecosystem and Community: It has a broad ecosystem of tools and extensions that facilitate integration with other technologies and customization of solutions according to specific needs.

 How to implement Kubernetes?

Deploying Kubernetes involves several essential steps:

1. Cluster Configuration:
 – Select a hosting platform (cloud or local) and prepare the nodes that will form the cluster.
 – Install Kubernetes on the cluster nodes (using tools such as kubeadm, kops, EKS, GKE, AKS, etc.).

2. Application Deployment:
 – Create Docker images for applications and define Kubernetes resources using YAML configuration files (pods, services, deployments, etc.).

3. Management and Monitoring:
 – Use kubectl to interact with the cluster, manage resources, and monitor the status of applications and nodes.
 – Implement monitoring and logging practices to monitor cluster performance and health.

4. Integration with CI/CD:
 – Automate the deployment process through continuous integration (CI) and continuous delivery (CD), ensuring updates and deployments without interruptions.

 What is its architecture?

The Kubernetes architecture is divided into several main components:

1. Control Plane:
 – API Server: Exposes the Kubernetes API and acts as a gateway for user operations and system components.
 – Scheduler: Assigns pods to nodes based on criteria such as resource requirements and affinity policies.
 – Controller Manager: Controls the state of the cluster and manages controllers that regulate the behavior of resources.
 – etcd: Stores cluster state and configuration as a consistent and highly available key-value store.

2. Nodes:
 – Kubelet: Agent that runs on each node and manages the pods and containers on the node.
 – Kube-Proxy: Manages the cluster network, providing proxy services for communication between pods and to the outside.
 – Container Runtime: Software responsible for running containers, such as Docker, containerd, or cri-o.

3. Key Concepts:
 – Pods: The smallest unit of deployment in Kubernetes, which can contain one or more containers.
 – Services: Abstraction that defines a set of pods and access policies to them.
 – Volumes: Persistent storage that can be mounted on pods to persist data beyond the pod’s lifecycle.

Kubernetes provides a robust infrastructure for managing containerized applications at scale, facilitating flexible and efficient deployment across cloud and on-premises environments.

29 days ago

What is Kubernetes?
#Kubernetes is an open-source platform used to manage container workloads and container services by supporting both declarative and automation commands, which makes it popular to use quickly.
Why Kubernetes?
#To help automate the operations related to Linux containers. Minimize the process of installing or scaling applications running on containers that developers have to do manually, or in other words, enable developers to cluster groups of hosts running Linux containers.
How Kubernetes?
Defining the Cluster
Role of the Control Plane
Communication Between Nodes and the Control Plane
What Else Do Nodes Run?

Kubernetes Architecture?

  1. Nodes:
  2. Master Node:
  3. Worker Nodes:
  4. Service Discovery:
  5. Load Balancing:
  6. Container Orchestration:
  7. Container Runtime:
  8. Infrastructure Orchestration:
Marcin Kenar
Marcin Kenar
29 days ago

What is Kubernetes?
Kubernetes is a portable, extensible, open source platform for managing containerized workloads and services
Why Kubernetes?
It allow us to manage 1000;s application/containers in short time. It has a functionality of redundant, HA and etc.
Kubernetes Architecture?
The best description is on Kubernetes web site:

“A Kubernetes cluster consists of a set of worker machines, called nodes, that run containerized applications. Every cluster has at least one worker node.
The worker node(s) host the Pods that are the components of the application workload. The control plane manages the worker nodes and the Pods in the cluster. In production environments, the control plane usually runs across multiple computers and a cluster usually runs multiple nodes, providing fault-tolerance and high availability.”

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