Kubernetes vs gopaddle

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

gopaddle

Stacks0

Followers2

Votes0

Kubernetes vs gopaddle: What are the differences?

Introduction Kubernetes and gopaddle are two popular platforms used for managing containerized applications. While both serve similar purposes, there are key differences between them that can impact the choice of platform for different use cases.

1. Deployment Model: Kubernetes follows a declarative model where users define the desired state of their applications, while gopaddle offers a model-driven approach, allowing users to visually design and deploy applications using a low-code interface. This can make gopaddle more user-friendly for teams without extensive Kubernetes expertise.

2. Scalability: Kubernetes is known for its scalability, being able to manage clusters with thousands of nodes. On the other hand, gopaddle is designed for smaller to medium-sized deployments, making it a more suitable choice for projects that do not require massive scaling capabilities.

3. Managed Services: Kubernetes is an open-source platform that can be self-hosted or managed through cloud providers like Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS). In contrast, gopaddle offers a fully managed platform as a service (PaaS) solution, simplifying the deployment and management process for users.

4. Extensibility: Kubernetes has a rich ecosystem of plugins and extensions that allow users to customize their deployments based on specific requirements. While gopaddle offers some level of extensibility, it may not provide the same level of flexibility and customization options as Kubernetes.

5. Community Support: Kubernetes has a large and active community of developers and contributors, providing extensive documentation, resources, and support for users. Gopaddle, being a newer platform, may have a smaller community and fewer resources available for troubleshooting and assistance.

6. Cost: While Kubernetes itself is open-source, the costs associated with managing and scaling Kubernetes clusters can add up, especially when utilizing managed services from cloud providers. Gopaddle, on the other hand, may offer a more cost-effective solution for smaller projects or teams with budget constraints.

In Summary, Kubernetes and gopaddle offer different approaches to managing containerized applications, with Kubernetes focusing on scalability and extensibility, while gopaddle provides a more user-friendly and cost-effective solution tailored towards smaller deployments.

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Advice on Kubernetes, gopaddle

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

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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.

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Detailed Comparison

Kubernetes	gopaddle
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.	It is an Application Centric Kubernetes platform that helps to containerize, deploy and maintain Cloud Native Applications seamlessly across different cloud environments. It provides better policy based control and governance over cloud native deployments.
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	Automatic Source to Image Conversion;Routes Management; Firewall and Security rules;Support for Stateful Applications;Application Log management;Application Monitoring
Statistics
Stacks 61.2K	Stacks 0
Followers 52.8K	Followers 2
Votes 685	Votes 0
Pros & Cons
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	No community feedback yet
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	Amazon EKS Amazon SNS GitLab GitHub Google Kubernetes Engine Bitbucket Jenkins Prometheus Amazon ECR jFrog

What are some alternatives to Kubernetes, gopaddle?

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.

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

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.

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

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.

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Simple Docker App management for Mac OS X

Related Comparisons

Kubernetes vs gopaddle: What are the differences?

Kubernetes vs gopaddle

Overview