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Docker vs kaniko: What are the differences?
Docker and Kaniko are two popular containerization tools that allow developers to build and manage container images. Let's explore the key differences between them.
Docker Build Process: Docker uses a monolithic build process, where the build and packaging steps are performed inside the Docker daemon. On the other hand, Kaniko uses a distributed build process, where each step of the build process is executed in a separate container. This allows Kaniko to build images without requiring privileged access to the Docker daemon.
Build Context: In Docker, the entire project directory (known as the build context) is sent to the Docker daemon during the build process. This means that any changes in the project directory will trigger a complete rebuild of the image. In contrast, Kaniko allows users to define a build context by specifying a set of files or directories. This can significantly speed up the build process by excluding unnecessary files.
Build Performance: Docker builds images by creating intermediate containers and layers, which can slow down the build process. Kaniko, on the other hand, uses an incremental build process, which only rebuilds the necessary parts of the image that have changed. This can result in faster build times, especially for large projects with many dependencies.
Build Environment: When using Docker, the build environment is tightly coupled to the host machine. This means that developers have limited control over the build environment and may encounter compatibility issues when moving images between different environments. Kaniko, on the other hand, provides a more isolated and reproducible build environment, allowing for consistent builds across different platforms.
Cache Management: Docker maintains a cache of intermediate layers during the build process, which can be reused to speed up subsequent builds. However, managing the cache can be challenging, as changes to any intermediate layer will invalidate the cache for that layer and all subsequent layers. Kaniko provides a more efficient cache management system, where only the necessary layers are invalidated, leading to better cache utilization and faster builds.
Security: Docker requires privileged access to the Docker daemon during the build process, which can pose security risks if not properly managed. Kaniko, on the other hand, eliminates the need for privileged access by executing each build step in an isolated container. This provides an additional layer of security and reduces the attack surface for potential vulnerabilities.
In summary, Kaniko offers a more distributed and efficient approach to building container images, with improved performance, better cache utilization, and enhanced security.
lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.
Pros of Docker
- Rapid integration and build up823
- Isolation692
- Open source521
- Testability and reproducibility505
- Lightweight460
- Standardization218
- Scalable185
- Upgrading / downgrading / application versions106
- Security88
- Private paas environments85
- Portability34
- Limit resource usage26
- Game changer17
- I love the way docker has changed virtualization16
- Fast14
- Concurrency12
- Docker's Compose tools8
- Easy setup6
- Fast and Portable6
- Because its fun5
- Makes shipping to production very simple4
- Highly useful3
- It's dope3
- Package the environment with the application2
- Super2
- Open source and highly configurable2
- Simplicity, isolation, resource effective2
- MacOS support FAKE2
- Its cool2
- Does a nice job hogging memory2
- Docker hub for the FTW2
- HIgh Throughput2
- Very easy to setup integrate and build2
- Asdfd0
Pros of kaniko
- No need for docker demon3
- Automation using jules1
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Cons of Docker
- New versions == broken features8
- Unreliable networking6
- Documentation not always in sync6
- Moves quickly4
- Not Secure3
Cons of kaniko
- Slow compared to docker1