Beanstalk vs Kubernetes

Overview

Beanstalk

Stacks85

Followers270

Votes51

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Beanstalk vs Kubernetes: What are the differences?

Beanstalk is a Platform as a Service (PaaS) offering by AWS that simplifies the deployment and management of applications, while Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Let's explore the key differences between them.

Architecture: Beanstalk is a Platform as a Service (PaaS) that simplifies the deployment and management of applications, providing a fully managed environment. It abstracts the underlying infrastructure and manages the platform components. On the other hand, Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It provides a highly scalable and fault-tolerant system.
Scalability and Flexibility: Beanstalk offers auto scaling capabilities, allowing applications to handle increased traffic and workload by automatically adding or removing instances based on predefined metrics. It offers limited flexibility for customizations and advanced configurations. In contrast, Kubernetes provides extensive scalability and flexibility. It supports horizontal pod autoscaling, allowing applications to scale based on CPU usage or custom metrics. It also offers advanced features like node auto scaling, affinity, and anti-affinity rules for fine-grained control.
Platform Support: Beanstalk supports multiple programming languages and environments, including Java, .NET, Node.js, PHP, Ruby, Python, and Go. It integrates well with the AWS ecosystem and can utilize various AWS services. Kubernetes, being a container orchestration platform, is language-agnostic. It can run any application packaged inside containers, regardless of the programming language or framework used.
Infrastructure Management: Beanstalk abstracts the underlying infrastructure and manages it on behalf of the user. It automatically handles tasks like provisioning virtual machines, load balancing, and network configuration. Kubernetes, on the other hand, requires manual management of the underlying infrastructure. It can be deployed on various cloud providers, on-premises, or in hybrid environments. The user is responsible for provisioning and managing the infrastructure resources.
Containerization Support: Beanstalk supports both Docker and Java Archive (JAR) files for application deployment. It provides an easy-to-use interface for deploying containerized applications. Kubernetes, being a container orchestration platform, provides native support for Docker containers. It can manage and schedule containers across a cluster of nodes to ensure high availability and resource optimization.
Cluster Management: Beanstalk manages the underlying platform and abstracts the cluster management complexities. It automatically creates and manages the cluster of instances required to run the application. It simplifies the deployment process for developers by providing a straightforward workflow. Kubernetes, on the other hand, requires manual cluster management. It allows users to define and manage the cluster infrastructure, including controlling the number of nodes, networking, and storage configurations.

In summary, Beanstalk is a fully managed PaaS that provides simplified deployment and management of applications, while Kubernetes is a container orchestration platform that offers extensive scalability, flexibility, and control over the infrastructure and application lifecycle.

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CLI (Node.js)

Manual

Advice on Beanstalk, Kubernetes

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

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

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

Beanstalk	Kubernetes
A single process to commit code, review with the team, and deploy the final result to your customers.	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.
Setup and manage repositories- Import or create Subversion and Git repositories that are instantly available to your team.;Invite team members, partners & clients- Restrict access to certain repos and provide read-only or full read/write permissions.;Browse files and changes- Every version of every file you’ve committed to Beanstalk is just a click away. See a timeline of who made changes and view the differences between revisions. Syntax highlighting for over 70 languages.;Preview, Compare & Share- Instantly preview HTML and image files in Beanstalk, compare versions side by side, and share them with your team, colleagues or clients, even if they don’t have a Beanstalk account.;Code Editing- Make and commit changes directly in the web interface of Beanstalk.;Blame Tool- View the line-by-line history of every file using Beanstalk's blame tool. Quickly see who was responsible for each line of code and which revision it belonged to.;Instantly deploy static assets from Beanstalk to your development, staging and production servers via Amazon S3, Rackspace Cloud Files, Heroku, DreamObjects;	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 85	Stacks 61.2K
Followers 270	Followers 52.8K
Votes 51	Votes 685
Pros & Cons
Pros 14 Ftp deploy 9 Deployment 8 Easy to navigate 4 Integrations 4 HipChat Integration	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
Amazon S3 Amazon CloudFront Basecamp Campfire FogBugz Lighthouse Harvest Zendesk HipChat Bugify	Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine

What are some alternatives to Beanstalk, Kubernetes?

GitHub

GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.

Bitbucket

Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.

GitLab

GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.

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

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

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 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.

RhodeCode

RhodeCode provides centralized control over distributed code repositories. Developers get code review tools and custom APIs that work in Mercurial, Git & SVN. Firms get unified security and user control so that their CTOs can sleep at night

AWS CodeCommit

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

Gogs

The goal of this project is to make the easiest, fastest and most painless way to set up a self-hosted Git service. With Go, this can be done in independent binary distribution across ALL platforms that Go supports, including Linux, Mac OS X, and Windows.

Related Comparisons

Beanstalk vs Kubernetes: What are the differences?

Architecture: Beanstalk is a Platform as a Service (PaaS) that simplifies the deployment and management of applications, providing a fully managed environment. It abstracts the underlying infrastructure and manages the platform components. On the other hand, Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It provides a highly scalable and fault-tolerant system.
Scalability and Flexibility: Beanstalk offers auto scaling capabilities, allowing applications to handle increased traffic and workload by automatically adding or removing instances based on predefined metrics. It offers limited flexibility for customizations and advanced configurations. In contrast, Kubernetes provides extensive scalability and flexibility. It supports horizontal pod autoscaling, allowing applications to scale based on CPU usage or custom metrics. It also offers advanced features like node auto scaling, affinity, and anti-affinity rules for fine-grained control.
Platform Support: Beanstalk supports multiple programming languages and environments, including Java, .NET, Node.js, PHP, Ruby, Python, and Go. It integrates well with the AWS ecosystem and can utilize various AWS services. Kubernetes, being a container orchestration platform, is language-agnostic. It can run any application packaged inside containers, regardless of the programming language or framework used.
Infrastructure Management: Beanstalk abstracts the underlying infrastructure and manages it on behalf of the user. It automatically handles tasks like provisioning virtual machines, load balancing, and network configuration. Kubernetes, on the other hand, requires manual management of the underlying infrastructure. It can be deployed on various cloud providers, on-premises, or in hybrid environments. The user is responsible for provisioning and managing the infrastructure resources.
Containerization Support: Beanstalk supports both Docker and Java Archive (JAR) files for application deployment. It provides an easy-to-use interface for deploying containerized applications. Kubernetes, being a container orchestration platform, provides native support for Docker containers. It can manage and schedule containers across a cluster of nodes to ensure high availability and resource optimization.
Cluster Management: Beanstalk manages the underlying platform and abstracts the cluster management complexities. It automatically creates and manages the cluster of instances required to run the application. It simplifies the deployment process for developers by providing a straightforward workflow. Kubernetes, on the other hand, requires manual cluster management. It allows users to define and manage the cluster infrastructure, including controlling the number of nodes, networking, and storage configurations.

Beanstalk vs Kubernetes

Overview