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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Deployment As A Service
  5. Kubernetes vs Octopus Deploy

Kubernetes vs Octopus Deploy

OverviewDecisionsComparisonAlternatives

Overview

Octopus Deploy
Octopus Deploy
Stacks407
Followers493
Votes118
Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685

Kubernetes vs Octopus Deploy: What are the differences?

Introduction

Kubernetes and Octopus Deploy are both widely used tools in the field of software deployment and management. While they both serve the purpose of deploying applications, there are several key differences between the two.

  1. Architecture and Scope: Kubernetes is an open-source container orchestration platform that focuses on managing and scaling containerized applications across a cluster of nodes. It handles the scheduling, scaling, and load balancing of containers. On the other hand, Octopus Deploy is a deployment automation tool that enables the deployment of applications and infrastructure changes to various environments, including on-premises and cloud.

  2. Deployment Focus: Kubernetes mainly focuses on the deployment and management of containerized applications, providing features like automatic scaling, self-healing, and rolling updates. Octopus Deploy, on the other hand, is designed specifically for application deployments, providing a comprehensive set of features such as release management, package management, and multi-tenant deployments.

  3. Application Environment: Kubernetes is primarily used in cloud-native environments, where applications are developed using container technologies like Docker and run in a cluster environment. It is highly scalable and suited for distributed systems. On the contrary, Octopus Deploy can be used in a variety of application environments, including both cloud-native and traditional environments, supporting a wide range of technologies and platforms.

  4. Infrastructure Management: Kubernetes takes care of managing the infrastructure needed to run containerized applications, including networking, storage, and compute resources. It abstracts away the underlying infrastructure details. Octopus Deploy, however, focuses on application deployments and does not directly handle infrastructure management. It relies on the underlying infrastructure, whether it is on-premises or in the cloud.

  5. Ease of Use and Learning Curve: Kubernetes has a steep learning curve due to its complex architecture and array of features. It requires knowledge of containerization, networking, and cluster management concepts. Octopus Deploy, on the other hand, is designed to be user-friendly with a simplified deployment process, intuitive user interface, and extensive documentation. It is easier to learn and use compared to Kubernetes.

  6. Ecosystem and Integrations: Kubernetes has a vast ecosystem of third-party tools, plugins, and integrations that enhance its capabilities. It integrates with various container registries, monitoring systems, logging platforms, and CI/CD pipelines. Octopus Deploy also has a rich ecosystem and integrates with popular development and infrastructure tools, allowing seamless integration into existing workflows.

In summary, Kubernetes and Octopus Deploy differ in their architecture, scope, deployment focus, application environment, infrastructure management, ease of use, and ecosystem/integrations. Kubernetes is more focused on container orchestration and managing cloud-native environments, while Octopus Deploy is geared towards application deployments in a wide range of environments.

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Advice on Octopus Deploy, Kubernetes

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

Our whole DevOps stack consists of the following tools:

  • @{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively @{Git}|tool:1046| as revision control system
  • @{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
  • @{Visual Studio Code}|tool:4202| as IDE
  • @{CircleCI}|tool:190| for continuous integration (automatize development process)
  • @{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
  • @{SonarQube}|tool:2638| as quality gate
  • @{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
  • @{VirtualBox}|tool:774| for operating system simulation tests
  • @{Kubernetes}|tool:1885| as cluster management for docker containers
  • @{Heroku}|tool:133| for deploying in test environments
  • @{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
  • @{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
  • @{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
  • @{PostgreSQL}|tool:1028| as preferred database system
  • @{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
12.8M views12.8M
Comments
Anis
Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

115k views115k
Comments

Detailed Comparison

Octopus Deploy
Octopus Deploy
Kubernetes
Kubernetes

Octopus Deploy helps teams to manage releases, automate deployments, and operate applications with automated runbooks. It's free for small teams.

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Deploy on-premises or to the cloud, securely;.NET, Java, PHP, Node, Ruby;Full API support;Approvals and manual intervention;Enable self-service deployments;Installs in minutes;Integrates with your build server;Free for small teams
Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable
Statistics
Stacks
407
Stacks
61.2K
Followers
493
Followers
52.8K
Votes
118
Votes
685
Pros & Cons
Pros
  • 30
    Powerful
  • 25
    Simplicity
  • 20
    Easy to learn
  • 17
    .Net oriented
  • 14
    Easy to manage releases and rollback
Cons
  • 4
    Poor UI
  • 2
    Management of Config
  • 2
    Config & variables not versioned (e.g. in git)
Pros
  • 166
    Leading docker container management solution
  • 130
    Simple and powerful
  • 108
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
Cons
  • 16
    Steep learning curve
  • 15
    Poor workflow for development
  • 8
    Orchestrates only infrastructure
  • 4
    High resource requirements for on-prem clusters
  • 2
    Too heavy for simple systems
Integrations
Jenkins
Jenkins
Azure DevOps
Azure DevOps
TeamCity
TeamCity
Jira
Jira
Appveyor
Appveyor
Bamboo
Bamboo
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine

What are some alternatives to Octopus Deploy, Kubernetes?

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

AWS CodeDeploy

AWS CodeDeploy

AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.

Distelli

Distelli

Build, test, and deploy your code from GitHub and BitBucket (or no repository at all) to any server in the world regardless of provider. Distelli customers iterate and ship faster with complete transparency.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

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