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  1. Stackups
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  5. Netflix OSS vs Ocelot

Netflix OSS vs Ocelot

OverviewComparisonAlternatives

Overview

Netflix OSS
Netflix OSS
Stacks76
Followers145
Votes0
Ocelot
Ocelot
Stacks83
Followers283
Votes4
GitHub Stars8.6K
Forks1.7K

Netflix OSS vs Ocelot: What are the differences?

Introduction

Netflix OSS and Ocelot are two popular options for building microservices architectures and implementing API gateways. While they serve similar purposes, there are key differences between them that set them apart. This markdown code will outline six specific differences between Netflix OSS and Ocelot, providing a concise comparison for website usage.

  1. Configuration: Netflix OSS relies on a centralized configuration model where configuration files are stored in a central repository, such as a GitHub repository. On the other hand, Ocelot provides a decentralized configuration approach where each microservice has its own configuration file, making it easier to manage and update configurations independently.

  2. Integration with Ecosystem: Netflix OSS is tightly integrated with the Netflix ecosystem and other tools like Eureka for service discovery and Hystrix for circuit breaking. Ocelot, on the other hand, is designed to work well with the .NET ecosystem and integrates easily with technologies like Identity Server for authentication and authorization.

  3. Extensibility: Netflix OSS provides a wide range of built-in components and plugins that can be used to enhance functionality, such as rate limiting, request/response logging, and security. Ocelot, on the other hand, allows developers to create custom middleware components using the .NET Core middleware pipeline, offering greater flexibility and extensibility.

  4. Community Support: Netflix OSS has a large and active community with extensive documentation, tutorials, and community support available. Ocelot, being a relatively newer project, has a smaller community in comparison but is growing steadily, with a dedicated core team contributing to its development.

  5. Programming Language: Netflix OSS is primarily implemented in Java and supports multiple programming languages for microservices development. Ocelot, on the other hand, is a .NET Core-specific library that predominantly caters to the Microsoft development stack, including C#, F#, and VB.NET.

  6. Maturity and Adoption: Netflix OSS has been widely adopted and used by numerous large-scale organizations, proving its stability and maturity. Ocelot, being a younger project, is still gaining traction but has shown promise and is suitable for smaller to medium-scale projects.

In summary, Netflix OSS and Ocelot differ in their configuration approach, ecosystem integration, extensibility, community support, programming language compatibility, and maturity/adoption level. Both options have their strengths and are suited for different use cases and development stacks.

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Detailed Comparison

Netflix OSS
Netflix OSS
Ocelot
Ocelot

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.

It is aimed at people using .NET running a micro services / service oriented architecture that need a unified point of entry into their system. However it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. It manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a request to a downstream service.

-
Routing; Request Aggregation; Service Discovery with Consul & Eureka; Service Fabric; Kubernetes; WebSockets; Authentication; Authorisation; Rate Limiting; Caching
Statistics
GitHub Stars
-
GitHub Stars
8.6K
GitHub Forks
-
GitHub Forks
1.7K
Stacks
76
Stacks
83
Followers
145
Followers
283
Votes
0
Votes
4
Pros & Cons
No community feedback yet
Pros
  • 2
    Straightforward documentation
  • 2
    Simple configuration
Integrations
No integrations available
GraphQL
GraphQL
.NET
.NET
ASP.NET
ASP.NET
.NET Core
.NET Core

What are some alternatives to Netflix OSS, Ocelot?

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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