Codefresh vs Ocean
Overview
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.
CLI (Node.js)
Manual
Detailed Comparison
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. | It brings reliability, automation and efficiency to cloud infrastructure management for containers. It continuously analyzes how your containers are using infrastructure, automatically scaling compute resources to maximize utilization and availability utilizing the optimal blend of spot, reserved and on-demand compute instances. |
Instant Dev, test and feature preview environments: Enables all team members to run any image as a standalone or composition for feature preview, manual testing, bug reproduction and more. Collaborate on features before pushing them into staging and production.;
Testing with every step: Configure your pipeline to run integration and unit tests with every step; Instantly test all code changes in the Codefresh build system before pushing to staging & production. Run integration, unit tests in parallel.;
360° view of Docker images: View commit info, test results and build logs for all images; Manage Docker image labels and status, comment and see new feature branches; search and filter based on any attribute.;
Out-of-the-box Docker buildpack for all technologies: Seamlessly package your code in a Docker image. Quickly associate a Dockerfile with your repo by selecting the repository technology stack (Java, Node, PHP, etc.). Codefresh then adds a template for Dockerizing apps.;
View and Access Running Container Logs: Access each container log directly from within the Codefresh platform. This lets you easily perform root-cause analysis on failed services and allows you to see logs in high debug model level.;
Support for Docker Compose 1 & 2: Manage your Docker Compose file natively in one place, with support for both Docker Compose versions 1 and 2. Use a built-in wizard to write Docker Compose files quickly.;
YAML file support: Customize and easily define your pipeline steps using a codefresh.yml file. | Serverless compute engine; Mix and match instance families and sizes in the same availability zone; Use reserved instances, savings plans, spot, and on-demand instances automatically; Infrastructure automation via continuous container bin packing; Container Cost Showback; Container Right-Sizing; Automatic Headroom provisioning for container warm start; 99.99% SLA for spot workloads |
Statistics | |
Stacks 64 | Stacks 20 |
Followers 111 | Followers 30 |
Votes 47 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
What are some alternatives to Codefresh, Ocean?
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.
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
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.
Azure Functions
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
Google Cloud Run
A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
Serverless
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
