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This article is to share with you what the 14 container layout tools for DevOps are, the editor thinks it is very practical, so I share it with you to learn. I hope you can get something after reading this article. Let's take a look at it.

What is container choreography?

Today, container platforms like Docker are very popular for packaging applications based on micro-service architectures. You can make containers highly scalable and you can create containers as needed. While this is good for several containers, imagine that you have hundreds.

When the quantity increases dynamically with the demand, it becomes extremely difficult to manage the container life cycle and its management.

Container orchestration solves this problem by automating container scheduling, deployment, scalability, load balancing, availability, and networking. Container orchestration is the automation and management of the life cycle of containers and services.

1.Kubernetes

Kubernetes is an open source platform originally designed by Google and now maintained by Cloud Native Computing Foundation. Kubernetes supports declarative configuration and automation. It can help automate the deployment, expansion, and management of containerized workloads and services.

Kubernetes API helps to establish communication between users, cluster components, and external third-party components. The Kubernetes control plane, and the nodes run on a set of nodes that make up the cluster. The application workload consists of one or more Pod running on the worker node. The control plane manages the Pod and worker nodes.

2.OpenShift

Redhat provides OpenShift Container platform as a Service (PaaS). It helps automate applications on secure and scalable resources in a hybrid cloud environment. It provides an enterprise-class platform for building, deploying, and managing containerized applications. It is built on the Redhat enterprise Linux and Kubernetes engine. Openshift has a variety of functions and clusters can be managed through UI and CLI. Redhat also provides two variants of Openshift

Openshift Online-available as Software as a Service (SaaS)

OpenShift dedicated-available as a managed servic

Openshift Origin (original Community Distribution) is an open source upstream community project used in OpenShift Container Platform,Openshift Online and OpenShift Dedicated.

3.Nomad

Nomad is a simple, flexible, and easy-to-use workload coordinator that enables large-scale deployment and management of container and non-containerized applications on-premises and in the cloud. Nomad runs as a single binary, consumes less resources (35MB), and is supported on macOS,Windows and Linux.

Developers use declarative infrastructure code (IaC) to deploy their applications and define how they should be deployed. Nomad automatically recovers the application from the failure.

Any type of Nomad Orchestrate application (not just a container). It provides first-class support for Docker,Windows,Java,VM and others.

Features

Simple and reliable

Modernize legacy applications without having to rewrite

Easy scale alliance

Proven scalability

Relaxed and cloudy

Native integration with Terraform,Consul and Vault

4.Docker Swarm

Docker Swarm uses a declarative model. You can define the desired state of the service, which Docker maintains. Docker Enterprise Edition has integrated Kubernetes with Swarm. Docker now provides flexibility in choreography engine selection. The Docker engine CLI is used to create a large number of Docker engines where application services can be deployed.

The Docker command is used to interact with the cluster. The machines that join the cluster are called nodes, and the Swarm manager handles the activities of the cluster.

Docker Swarm consists of two main components:

The Manager-Manager node assigns tasks to the worker nodes in the cluster. Elect leaders according to the Raft consensus algorithm. The leader is responsible for handling all cluster management and task scheduling decisions.

Work node-the work node receives tasks from the management node and executes them.

Features

Cluster management integrated with Docker Engine

Decentralized design

Declarative service model

Zoom ratio

Required status reconciliation

Multi-host networking

Service discovery

Load balancing

Default security

Scrolling update

5.Docker Compose

Docker Compose is used to define and run multi-container applications that work together. Docker-compose describes shared groups of services that share software dependencies and are choreographed and extended.

You can use the YAML file (dockerfile) to configure the application's services. Then, use the docker-compose up command to create and start all services from your configuration.

The docker-compose.yml is as follows:

Version: '3'volumes: app_data:services: elasticsearch: image: docker.elastic.co/elasticsearch/elasticsearch:6.8.0 ports:-9200 elasticsearch 9300 volumes: -. / elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml -. / elastic-certificates.p12:/usr/share/elasticsearch/config/elastic-certificates.p12 -. / docker-data-volumes/ Elasticsearch:/usr/share/elasticsearch/data kibana: depends_on:-elasticsearch image: docker.elastic.co/kibana/kibana:6.8.0 ports:-5601 volumes: -. / kibana.yml:/usr/share/kibana/config/kibana.yml app: depends_on:-elasticsearch image: asadali08527/app:latest ports:-8080 volumes:-app_data:/var/lib/app/

You can use Docker Compose to decompose the application code into several independently running services that communicate using the internal network. This tool provides CLI for managing the entire lifecycle of the application. Docker Compose has traditionally focused on development and testing workflows, but now they focus on more production-oriented features.

Docker Engine can be a stand-alone instance equipped with Docker Machine or an entire Docker Swarm cluster.

Features

Multiple isolated environments on a single host

Preserve volume data when creating a container

Recreate only changed containers

Synthetic movement between variables and the environment

6.Minikube

Minikube allows users to run Kubernetes locally. With Minikube, you can test applications locally within a single-node Kubernetes cluster on a personal computer. Minikube provides integrated support for Kubernetes dashboards.

Minikube runs the latest stable version of Kubernetes and supports the following features.

Load balancing

Multi-cluster

Persistent volume

Node port

ConfigMap and Secret

Container runtime: Docker,CRI-O and containerization

Enable CNI (Container Network Interface)

7.Marathon

Marathon is suitable for Apache Mesos and has the ability to coordinate applications and frameworks.

Apache Mesos is an open source cluster manager. Mesos is a project of Apache that can run containerized and non-containerized workloads. The main components of the Mesos cluster are the Mesos proxy node, the Mesos master server, ZooKeeper, and the framework-framework coordinates with the main framework to schedule tasks to the proxy node. Users interact with the Marathon framework to schedule jobs.

The Marathon scheduler uses ZooKeeper to locate the current host to submit tasks. The marathon scheduler and the Mesos primary server have a running secondary primary server to ensure high availability. The client uses REST API to interact with Marathon.

Features

High availability

Stateful application

Beautiful and powerful user interface

Constraint condition

Service discovery and load balancing

Health examination

Active subscription

Index.

REST API

8.Cloudify

Cloudify is an open source cloud orchestration tool for deployment automation and lifecycle management of container and micro services. It provides features such as on-demand clustering, automatic repair, and extension at the infrastructure level. Cloudify can manage the container infrastructure and coordinate services running on the container platform.

It can be easily integrated with Docker and Docker-based container managers, including the following.

Docker Swarm

Docker writing

Kubernetes

Apache Mesos

Cloudify can help create, repair, expand, and dismantle container clusters. Container orchestration is the key to providing an extensible and highly available infrastructure for a runnable container manager. Cloudify provides the ability to coordinate heterogeneous services across platforms. You can deploy applications using CLI and Cloudify Manager.

9.Rancher

Rancher is an open source platform that uses container choreography called Niu. It allows you to take advantage of orchestration services such as Kubernetes,Swarm,Mesos. Rancher provides the software needed to manage containers, so organizations do not need to use a unique set of open source technologies to build container services platforms from scratch.

Rancher 2.x allows you to manage Kubernetes clusters running on a provider specified by the customer.

Getting started with Rancher requires two steps.

1. Prepare Linux hosts prepare a Linux host with 64-bit Ubuntu 16.04or 18.04 (or other supported Linux distributions with at least 4GB memory). Install a supported version of Docker on this host.

two。 To start the server to install and run Rancher, execute the following Docker command on the host:

$sudo docker run-d-restart=unless-stopped-p 80:80-p 443purl 443 rancher/rancher

The user interface allows you to manage thousands of Kubernetes clusters and nodes.

10.Containership

Containership is used to deploy and manage a multi-cloud Kubernetes infrastructure. A single tool provides the flexibility to operate in public, private cloud, and local environments. It enables you to configure, manage, and monitor your Kubernetes cluster across all major cloud providers.

Use cloud native tools such as Terraform for configuration, Prometheus for monitoring, and Calico for network and policy management. It is built on top of vanilla Kubernetes. The Containership platform provides intuitive dashboards and a powerful REST API for complex automation.

Features

Multi-cloud dashboard audit log GPU instance supports non-disruptive upgrade schedulable master comprehensive metrics real-time recording zero downtime deployment persistent storage support private registration support workload automatic scaling SSH key management

11.AZK

AZK is an open source orchestration tool for the development environment through a manifest file (Azkfile.js) that helps developers install, configure and run common tools for developing Web applications using different open source technologies.

AZK uses containers instead of virtual machines. Containers, like virtual machines, have better performance and lower physical resource consumption.

You can reuse the Azkfile.js file to add new components or to create new components from scratch. It can be shared, ensuring an overall balance between development environments on different programmer machines and reducing the chances of errors during deployment.

12.GKE

GKE provides a fully managed solution for container application orchestration on Google Cloud Platform. GKE clusters are supported by Kubernetes. You can use Kubernetes CLI to interact with the cluster. The Kubernetes command can be used to deploy and manage applications, perform administrative tasks, set policies, and monitor the health of deployed workloads.

Google Cloud's advanced management features can also be used for GKE clusters, such as Google Cloud load balancing, node pooling, node automatic expansion, automatic upgrade, node automatic repair, logging, and monitoring using Google Cloud's operation suite.

Google Cloud provides CI / CD tools to help you build and provide application containers. You can use Cloud Build to build container images (such as Docker) from various source code repositories, and you can use Container Registry to store container images.

GKE is an enterprise-ready solution with pre-built deployment templates.

13.AKS

AKS is a fully managed Kubernetes service provided by Azure, which provides serverless Kubernetes, security and governance. AKS manages your Kubernetes cluster and allows you to easily deploy containerized applications. AKS automatically configures all Kubernetes master nodes and nodes. You only need to manage and maintain the agent node.

AKS is free; you only need to pay for the proxy node in the cluster, not the primary node. You can create an AKS cluster in the Azure portal or programmatically. Azure also supports other features, such as advanced networking, Azure Active Directory integration, and monitoring using Azure Monitor.

AKS also supports Windows Server containers. You can monitor the performance of its clusters and deployed applications from Azure Monitor. Logs are stored in the Azure Log Analytics workspace.

AKS has been certified by Kubernetes.

14.AWS EKS

AWS EKS is a fully managed Kubernetes service. AWS allows you to run EKS clusters using AWS Fragrate, a serverless computing for containers. Fragrance eliminates the need to provision and manage servers, allowing each application to be paid per resource.

AWS allows the use of other functions through EKS, such as Amazon CloudWatch,Amazon virtual private cloud (VPC), AWS Identity,Auto Scaling group and access management (IAM), monitoring, scaling, and load balancing applications. EKS integrates with AWS App Mesh and provides a native Kubernetes experience. EKS runs the latest Kubernetes and is certified by Kubernetes.

These are the 14 container orchestration tools for DevOps. The editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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