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  1. Stackups
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  4. Container Tools
  5. Jib vs containerd

Jib vs containerd

OverviewComparisonAlternatives

Overview

Jib
Jib
Stacks17
Followers43
Votes2
GitHub Stars14.1K
Forks1.5K
containerd
containerd
Stacks81
Followers140
Votes5

Jib vs containerd: What are the differences?

Introduction

Jib and containerd are both popular tools used in the containerization of applications. However, there are key differences between the two that set them apart. This Markdown code will provide a clear overview of these differences in a concise manner.

  1. Architecture: Jib is a higher-level build tool that allows developers to containerize their applications without requiring knowledge of Docker or writing Dockerfiles. It provides a fast and simple build process by directly building containers from the application's source code. On the other hand, containerd is a low-level container runtime that focuses on running containers and managing their lifecycle. It is used as the container runtime for various container orchestration systems like Kubernetes.

  2. Build process: With Jib, the container build process is integrated directly into the application build process. This means that developers can build and push their container images along with their application code using existing build tools like Maven or Gradle. In contrast, containerd does not directly handle the container build process. It relies on tools like Docker or BuildKit to build container images, which are then pushed to a container registry for storage.

  3. Layering and caching: Jib uses a layered approach to container image building, where each layer represents a specific phase of the application build process (dependencies, resources, classes, etc.). This allows for better caching of layers during subsequent builds, resulting in faster build times. On the other hand, containerd relies on the layering mechanisms provided by the underlying container build tool (e.g., Docker). It does not have its own built-in layering or caching capabilities, and the caching behavior depends on the specific container build tool used.

  4. Image distribution: Jib pushes container images directly to a registry, eliminating the need for an intermediate step of locally saving the image as a Docker image file. This ensures faster and more efficient image distribution. In contrast, containerd does not handle image distribution itself. It relies on external tools like Docker, BuildKit, or container registries to push and distribute container images.

  5. Container runtime: Jib integrates with various container runtimes, allowing developers to choose their preferred runtime for running the containerized application. It abstracts away the complexities of the underlying runtime, making it easier to switch between different runtimes. On the other hand, containerd is itself a container runtime and is commonly used as the underlying runtime for container orchestration systems like Kubernetes.

  6. Supported platforms: Jib is designed to support multiple platforms, including both the JVM and non-JVM applications. It provides separate plugins for Maven and Gradle to cater to the different build tools used in the Java ecosystem. Containerd, on the other hand, is a general-purpose runtime that can run containers for various platforms and languages, not limited to Java.

In summary, Jib is a higher-level build tool focused on simplifying the containerization process by integrating it into the application build process, while containerd is a low-level container runtime used for managing containers' lifecycle in a production environment.

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Detailed Comparison

Jib
Jib
containerd
containerd

Jib builds Docker and OCI images for your Java applications and is available as plugins for Maven and Gradle.

An industry-standard container runtime with an emphasis on simplicity, robustness, and portability

Fast - Deploy your changes fast. Jib separates your application into multiple layers, splitting dependencies from classes. Now you don’t have to wait for Docker to rebuild your entire Java application - just deploy the layers that changed.; Reproducible - Rebuilding your container image with the same contents always generates the same image. Never trigger an unnecessary update again.; Daemonless - Reduce your CLI dependencies. Build your Docker image from within Maven or Gradle and push to any registry of your choice. No more writing Dockerfiles and calling docker build/push.
OCI Image Spec support; OCI Runtime Spec support (aka runC); Image push and pull support; Container runtime and lifecycle support; Network primitives for creation, modification, and deletion of interfaces; Multi-tenant supported with CAS storage for global images; Management of network namespaces containers to join existing namespaces
Statistics
GitHub Stars
14.1K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
17
Stacks
81
Followers
43
Followers
140
Votes
2
Votes
5
Pros & Cons
Pros
  • 2
    No docker files to maintain
  • 0
    Coder friendly with Maven and Gradle plugins
  • 0
    Native
  • 0
    Build is faster than Docker
Pros
  • 3
    No Need for docker shim
  • 2
    Supports Kubernetes version greater than 1.21
  • 0
    Needs docker shim to work on kubernetes
  • 0
    No kubernetes support after 1.22
Integrations
Apache Maven
Apache Maven
Java
Java
Gradle
Gradle
No integrations available

What are some alternatives to Jib, containerd?

Kubernetes

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.

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.

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.

Tutum

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

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

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

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

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

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.

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