Gerrit Code Review vs Kubernetes

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Gerrit Code Review

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Kubernetes

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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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Decisions about Gerrit Code Review and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 8.9M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis 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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Pros of Gerrit Code Review
Pros of Kubernetes
  • 13
    Code review
  • 11
    Good workflow
  • 10
    Cleaner repository story
  • 9
    Open source
  • 9
    Good integration with Jenkins
  • 5
    Unlimited repo support
  • 2
    Comparison dashboard
  • 164
    Leading docker container management solution
  • 128
    Simple and powerful
  • 106
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Cheap
  • 8
    Simple
  • 6
    Self-healing
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Cloud Agnostic
  • 3
    Captain of Container Ship
  • 3
    A self healing environment with rich metadata
  • 3
    Runs on azure
  • 3
    Backed by Red Hat
  • 3
    Custom and extensibility
  • 2
    Sfg
  • 2
    Gke
  • 2
    Everything of CaaS
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable

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Cons of Gerrit Code Review
Cons of Kubernetes
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    • 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
    • 1
      Additional vendor lock-in (Docker)
    • 1
      More moving parts to secure
    • 1
      Additional Technology Overhead

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    What is Gerrit Code Review?

    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.

    What is Kubernetes?

    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.

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    What companies use Gerrit Code Review?
    What companies use Kubernetes?
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    What tools integrate with Gerrit Code Review?
    What tools integrate with Kubernetes?

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