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  1. Stackups
  2. DevOps
  3. Continuous Integration
  4. Continuous Integration
  5. Bamboo vs Kubernetes

Bamboo vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Bamboo
Bamboo
Stacks504
Followers549
Votes17
Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685

Bamboo vs Kubernetes: What are the differences?

Introduction

Bamboo and Kubernetes are two commonly used tools in the DevOps world, but they serve different purposes and have distinct features. This article will highlight the key differences between Bamboo and Kubernetes.

  1. Scalability and Orchestration: Kubernetes is primarily designed to manage containerized applications and provides a platform for scaling and orchestration. It can automatically scale the application up or down based on resource utilization and allows the creation of complex application architectures. On the other hand, Bamboo is a continuous integration and deployment tool that focuses on automating software builds, tests, and releases. It can integrate with Kubernetes to deploy applications, but it does not provide the same scalability and orchestration capabilities.

  2. Focus and Functionality: Bamboo is specifically designed to streamline the software development process by automating tasks like building, testing, and deploying code. It provides features like code quality analysis, parallel builds, and release management. In contrast, Kubernetes is a container orchestration platform that focuses on managing the deployment, scaling, and operation of containerized applications. It provides functionalities like service discovery, load balancing, and automatic rollbacks.

  3. Deployment Flexibility: Kubernetes offers flexibility in deploying applications across multiple environments, such as on-premises, public clouds, or hybrid environments. It supports various deployment strategies like rolling updates, blue-green deployments, and canary releases. Bamboo, while it can integrate with Kubernetes for deployment, is more limited in terms of deployment options and is primarily used for continuous integration and delivery within a specific environment.

  4. Community and Ecosystem: Kubernetes has a large and vibrant community with extensive documentation, plugins, and a wide ecosystem of tools that complement its functionalities. It is widely adopted by organizations and benefits from continuous improvement and innovation. Bamboo also has a reputable community, but it doesn't have the same level of adoption and ecosystem that Kubernetes enjoys.

  5. Learning Curve and Complexity: Kubernetes has a steeper learning curve due to its complex architecture and multitude of concepts like pods, services, and replication controllers. It requires knowledge of YAML configuration files and containerization concepts. On the other hand, Bamboo is relatively easier to learn and use, making it more suitable for teams with less experience in DevOps practices.

  6. Cost and Licensing: Bamboo is a commercial tool offered by Atlassian, and it requires a license for usage. The cost varies based on the number of users and additional features. Kubernetes, on the other hand, is an open-source project and is free to use. However, deploying and managing Kubernetes clusters may require additional infrastructure and operational costs.

In summary, Bamboo and Kubernetes differ in their focus, scalability, functionality, deployment flexibility, community support, learning curve, and cost. While Bamboo is mainly for continuous integration and deployment, Kubernetes provides a robust platform for managing containerized applications at scale.

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Advice on Bamboo, 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

Detailed Comparison

Bamboo
Bamboo
Kubernetes
Kubernetes

Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments.

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.

-
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
504
Stacks
61.2K
Followers
549
Followers
52.8K
Votes
17
Votes
685
Pros & Cons
Pros
  • 10
    Integrates with other Atlassian tools
  • 4
    Great notification scheme
  • 2
    Great UI
  • 1
    Has Deployment Projects
Cons
  • 6
    Expensive
  • 1
    Bad integration with docker
  • 1
    Bad UI
  • 1
    Low community support
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
Confluence
Confluence
Jira
Jira
Bitbucket
Bitbucket
HipChat
HipChat
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 Bamboo, Kubernetes?

Jenkins

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

CircleCI

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

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.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

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.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

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