Katacontainers vs Skaffold
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production. | It is an open source container runtime, building lightweight virtual machines that seamlessly plug into the containers ecosystem. |
No server-side component. No overhead to your cluster.;Detect changes in your source code and automatically build/push/deploy.;Image tag management. Stop worrying about updating the image tags in Kubernetes manifests to push out changes during development.;Supports existing tooling and workflows. Build and deploy APIs make each implementation composable to support many different workflows.;Support for multiple application components. Build and deploy only the pieces of your stack that have changed.;Deploy regularly when saving files or run one off deployments using the same configuration | Runs in a dedicated kernel, providing isolation of network, I/O and memory and can utilize hardware-enforced isolation with virtualization VT extensions;
Supports industry standards including OCI container format, Kubernetes CRI interface, as well as legacy virtualization technologies;
Delivers consistent performance as standard Linux containers; increased isolation without the performance tax of standard virtual machines;
Eliminates the requirement for nesting containers inside full blown virtual machines; standard interfaces make it easy to plug in and get started |
Statistics | |
Stacks 86 | Stacks 9 |
Followers 186 | Followers 6 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Skaffold, Katacontainers?
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 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.
