Argo vs Netflix OSS

Overview

Netflix OSS

Stacks76

Followers145

Votes0

Argo

Stacks761

Followers470

Votes6

Argo vs Netflix OSS: What are the differences?

Introduction

Here is a comparison between Argo and Netflix OSS, highlighting their key differences.

1. Distributed Execution: Argo enables distributed execution by using a Kubernetes-native workflow engine, whereas Netflix OSS does not provide a built-in distributed execution capability.

2. Workflow Automation: Argo offers advanced workflow automation features such as event-driven workflows, cron workflows, and template-based workflows. Netflix OSS lacks these advanced automation capabilities.

3. Language and Framework Support: Argo supports multiple languages and frameworks for defining and executing workflows, including Python, Java, and Ruby. On the other hand, Netflix OSS mainly focuses on Java-based applications.

4. Integration with Kubernetes: Argo is built on top of Kubernetes and tightly integrates with its features and APIs. Netflix OSS, while capable of running on Kubernetes, does not have the same level of integration.

5. Monitoring and Visualization: Argo provides comprehensive monitoring and visualization tools, including dashboards and logs, to monitor workflow execution and performance. Netflix OSS has more limited monitoring capabilities.

6. Community and Support: Argo has a growing community and active support from its contributors, making it easier to find resources, documentation, and assistance. Netflix OSS, being developed by Netflix, also has a strong community but may have fewer external contributors and support resources.

In summary, Argo and Netflix OSS differ in terms of distributed execution, workflow automation, language and framework support, Kubernetes integration, monitoring and visualization capabilities, as well as community and support.

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Manual

Detailed Comparison

Netflix OSS	Argo
It provides tools and services to get the most out of your (big) data. It also provides runtime containers, libraries and services that power microservices.	Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition).
-	DAG or Steps based declaration of workflows;Artifact support (S3, Artifactory, HTTP, Git, raw);Step level input & outputs (artifacts/parameters);Loops;Parameterization;Conditionals;Timeouts (step & workflow level);Retry (step & workflow level);Resubmit (memoized);Suspend & Resume;Cancellation;K8s resource orchestration;Exit Hooks (notifications, cleanup);Garbage collection of completed workflow;Scheduling (affinity/tolerations/node selectors);Volumes (ephemeral/existing);Parallelism limits;Daemoned steps;DinD (docker-in-docker);Script steps
Statistics
Stacks 76	Stacks 761
Followers 145	Followers 470
Votes 0	Votes 6
Pros & Cons
No community feedback yet	Pros 3 Open Source 2 Autosinchronize the changes to deploy 1 Online service, no need to install anything
Integrations
No integrations available	Kubernetes Docker

What are some alternatives to Netflix OSS, Argo?

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.

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

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.

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

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.

Related Comparisons

Argo vs Netflix OSS: What are the differences?

Introduction

Here is a comparison between Argo and Netflix OSS, highlighting their key differences.

1. Distributed Execution: Argo enables distributed execution by using a Kubernetes-native workflow engine, whereas Netflix OSS does not provide a built-in distributed execution capability.

2. Workflow Automation: Argo offers advanced workflow automation features such as event-driven workflows, cron workflows, and template-based workflows. Netflix OSS lacks these advanced automation capabilities.

3. Language and Framework Support: Argo supports multiple languages and frameworks for defining and executing workflows, including Python, Java, and Ruby. On the other hand, Netflix OSS mainly focuses on Java-based applications.

4. Integration with Kubernetes: Argo is built on top of Kubernetes and tightly integrates with its features and APIs. Netflix OSS, while capable of running on Kubernetes, does not have the same level of integration.

5. Monitoring and Visualization: Argo provides comprehensive monitoring and visualization tools, including dashboards and logs, to monitor workflow execution and performance. Netflix OSS has more limited monitoring capabilities.

6. Community and Support: Argo has a growing community and active support from its contributors, making it easier to find resources, documentation, and assistance. Netflix OSS, being developed by Netflix, also has a strong community but may have fewer external contributors and support resources.

Argo vs Netflix OSS

Overview

Argo vs Netflix OSS: What are the differences?

Introduction

1. Distributed Execution: Argo enables distributed execution by using a Kubernetes-native workflow engine, whereas Netflix OSS does not provide a built-in distributed execution capability.

2. Workflow Automation: Argo offers advanced workflow automation features such as event-driven workflows, cron workflows, and template-based workflows. Netflix OSS lacks these advanced automation capabilities.

3. Language and Framework Support: Argo supports multiple languages and frameworks for defining and executing workflows, including Python, Java, and Ruby. On the other hand, Netflix OSS mainly focuses on Java-based applications.

4. Integration with Kubernetes: Argo is built on top of Kubernetes and tightly integrates with its features and APIs. Netflix OSS, while capable of running on Kubernetes, does not have the same level of integration.

5. Monitoring and Visualization: Argo provides comprehensive monitoring and visualization tools, including dashboards and logs, to monitor workflow execution and performance. Netflix OSS has more limited monitoring capabilities.