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  5. Conductor vs Netflix OSS

Conductor vs Netflix OSS

OverviewComparisonAlternatives

Overview

Netflix OSS
Netflix OSS
Stacks76
Followers145
Votes0
Conductor
Conductor
Stacks66
Followers122
Votes0
GitHub Stars12.8K
Forks2.3K

Conductor vs Netflix OSS: What are the differences?

Introduction

In this article, we will discuss the key differences between Conductor and Netflix OSS. Both Conductor and Netflix OSS are workflow orchestration platforms, but they have distinct features and capabilities that set them apart.

  1. Architecture: Conductor is a microservices-based orchestration engine, whereas Netflix OSS is a collection of loosely coupled microservices. Conductor follows a task-based architecture, where each task is executed by a worker. On the other hand, Netflix OSS uses a service-oriented architecture, where different microservices communicate with each other using REST APIs. Conductor provides a central workflow engine to manage and execute tasks, while Netflix OSS offers a suite of individual services, each responsible for a specific task.

  2. Flexibility: Conductor provides a high degree of flexibility in defining and executing workflows. It allows the creation of complex workflows with conditional branching and parallel execution. Netflix OSS, on the other hand, provides a set of predefined microservices, each with a specific functionality. While this approach offers modularity and scalability, it may not provide as much flexibility in designing complex workflows compared to Conductor.

  3. Monitoring and Metrics: Conductor provides extensive monitoring and metrics capabilities out-of-the-box. It allows users to monitor the status of workflows, view execution logs, and track performance metrics. Netflix OSS, on the other hand, relies on external monitoring tools like Spectator and Turbine for metrics collection and monitoring. While Netflix OSS provides integration with popular monitoring frameworks, Conductor offers a more integrated and comprehensive monitoring solution.

  4. Community and Ecosystem: Netflix OSS has a large and active community with extensive documentation and support resources. It has been widely adopted by many organizations and has a rich ecosystem of libraries and tools. Conductor, although relatively newer, also has a growing community and support resources. While the ecosystem around Conductor may not be as mature as Netflix OSS, it is rapidly evolving and gaining popularity.

  5. Integration with Netflix Stack: Netflix OSS is tightly integrated with other components of the Netflix stack, such as Eureka, Ribbon, and Hystrix. This integration allows seamless communication between microservices and enables features like service discovery, load balancing, and fault tolerance. Conductor, on the other hand, does not have direct integration with the Netflix stack. While it can be used alongside Netflix OSS, it requires additional configuration and setup to achieve the same level of integration.

  6. Workflow Execution: Conductor provides a distributed and fault-tolerant workflow execution engine. It supports retrying failed tasks, handling failures, and ensuring end-to-end reliability. Netflix OSS, on the other hand, focuses more on service-level resiliency and fault tolerance through mechanisms like circuit breakers and fallbacks. While both platforms offer fault tolerance, Conductor's primary focus is on ensuring the reliable execution of complex workflows, while Netflix OSS focuses on individual microservices.

In summary, Conductor and Netflix OSS differ in their architecture, flexibility, monitoring capabilities, community support, integration with the Netflix stack, and workflow execution focus. While Conductor offers a centralized workflow engine with flexibility and comprehensive monitoring, Netflix OSS provides a collection of loosely coupled microservices with a mature ecosystem and tight integration with other Netflix components.

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Detailed Comparison

Netflix OSS
Netflix OSS
Conductor
Conductor

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.

Conductor is an orchestration engine that runs in the cloud.

-
Allow creating complex process / business flows in which individual task is implemented by a microservice.;A JSON DSL based blueprint defines the execution flow.;Provide visibility and traceability into the these process flows.;Expose control semantics around pause, resume, restart, etc allowing for better devops experience.;Allow greater reuse of existing microservices providing an easier path for onboarding.;User interface to visualize the process flows.;Ability to synchronously process all the tasks when needed.;Ability to scale millions of concurrently running process flows.;Backed by a queuing service abstracted from the clients.;Be able to operate on HTTP or other transports e.g. gRPC.
Statistics
GitHub Stars
-
GitHub Stars
12.8K
GitHub Forks
-
GitHub Forks
2.3K
Stacks
76
Stacks
66
Followers
145
Followers
122
Votes
0
Votes
0

What are some alternatives to Netflix OSS, Conductor?

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.

Istio

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

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

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

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.

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