Gerrit Code Review vs Kubernetes

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Gerrit Code Review

Stacks116

Followers223

Votes67

Gerrit Code Review vs Kubernetes: What are the differences?

Introduction

Gerrit Code Review and Kubernetes are two widely used tools in the software development industry. While both serve different purposes, they have distinct features and functionalities that set them apart from each other. In this Markdown document, we will highlight the key differences between Gerrit Code Review and Kubernetes in a concise and specific manner.

Architecture: Gerrit Code Review is a web-based team code collaboration tool that integrates with Git version control system. It provides a platform for code review, version control, and collaboration among developers. 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 framework for deploying and managing applications utilizing container technologies.
Focus: Gerrit Code Review focuses primarily on code review and collaboration among developers. It provides features such as inline comments, issue tracking, and continuous integration integration to facilitate the code review process. Kubernetes, on the other hand, focuses on container orchestration and management. It provides features for automating the deployment, scaling, and management of containerized applications, allowing developers to focus on application development rather than infrastructure management.
Workflow: In Gerrit Code Review, developers push their code to a central repository, where it is reviewed by peers before being merged into the main branch. The review process involves multiple iterations of code changes and feedback. On the other hand, Kubernetes follows a declarative approach to application deployment and management. Developers define the desired state of their application in configuration files, which are then used by Kubernetes to ensure the application is deployed and maintained in the desired state.
Scalability: Gerrit Code Review is designed to handle code review and collaboration for small to medium-sized development teams. It may struggle to cope with large-scale codebases and a large number of concurrent code reviews. Kubernetes, on the other hand, is built to handle large-scale deployments of containerized applications. It can scale horizontally to accommodate a high number of application instances and is designed to handle millions of containers across multiple nodes.
Community and Ecosystem: Gerrit Code Review has a dedicated community of users and developers who contribute to its development and maintenance. It has a mature ecosystem of plugins and integrations, allowing users to customize and extend its functionality. Kubernetes, on the other hand, has a larger and more vibrant community, and it is backed by major technology companies such as Google, Microsoft, and Red Hat. It has a vast ecosystem of tools, frameworks, and services that integrate seamlessly with it.
Use Cases: Gerrit Code Review is commonly used in software development organizations to ensure code quality, maintain coding standards, and facilitate collaboration among developers. It is particularly useful in projects with multiple contributors and complex codebases. Kubernetes is used in environments where containerized applications need to be deployed, scaled, and managed efficiently. It is commonly used in cloud-native application development, microservices architecture, and hybrid cloud environments.

In Summary, Gerrit Code Review focuses on code review and collaboration in small to medium-sized development teams, while Kubernetes is a container orchestration platform used for automating the deployment and management of containerized applications. Gerrit Code Review has a more narrow focus on code review, while Kubernetes provides a broader set of features for managing applications at scale.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Kubernetes, Gerrit Code Review

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

Detailed Comparison

Kubernetes	Gerrit Code Review
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.	Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.
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	git repository hosting; pre-commit code review; commenting on diffs; updating a single commit with multiple patch sets; project-based access control; protecting repositories
Statistics
Stacks 61.2K	Stacks 116
Followers 52.8K	Followers 223
Votes 685	Votes 67
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	Pros 14 Code review 12 Good workflow 11 Cleaner repository story 10 Open source 10 Good integration with Jenkins
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	Git

What are some alternatives to Kubernetes, Gerrit Code Review?

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.

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

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.

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

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.

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

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.

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

Related Comparisons