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  5. Conductor vs Ocelot

Conductor vs Ocelot

OverviewComparisonAlternatives

Overview

Conductor
Conductor
Stacks66
Followers122
Votes0
GitHub Stars12.8K
Forks2.3K
Ocelot
Ocelot
Stacks83
Followers283
Votes4
GitHub Stars8.6K
Forks1.7K

Conductor vs Ocelot: What are the differences?

Key Differences between Conductor and Ocelot in Markdown Format:

Introduction:

Here, we will discuss the key differences between Conductor and Ocelot, which are both popular open-source microservice management tools.

  1. Scalability and High Availability: Conductor provides built-in support for scaling up and achieving high availability by utilizing Netflix's Eureka for service registry and discovery. On the other hand, Ocelot leverages the power of Microsoft's Azure Service Fabric, which offers comprehensive scalability and high availability features, making it suitable for large-scale enterprise solutions.

  2. Configuration Approach: Conductor uses a declarative approach, where developers define workflows, tasks, and inputs/outputs in a JSON-based DSL (Domain Specific Language). Conversely, Ocelot adopts a more generic and flexible configuration approach, allowing developers to use either a JSON or YAML configuration file to define routing rules and downstream dependencies.

  3. Service Discovery: While both Conductor and Ocelot support service discovery, they differ in their implementation. Conductor relies on Eureka for service registration and discovery, providing a centralized registry for microservices. Conversely, Ocelot allows developers to utilize various service discovery mechanisms, including DNS, Consul, or even custom implementations, offering greater flexibility in integrating with different infrastructures.

  4. Routing and Load Balancing: Conductor facilitates request routing and load balancing through its integrated Zuul component, providing intelligent routing and load balancing strategies. On the other hand, Ocelot offers similar routing capabilities but extends its functionality by providing additional features such as rate limiting, caching, and request manipulation.

  5. Developer Community and Support: Conductor benefits from a strong developer community and extensive documentation, which makes it easier for users to get started and find support. Ocelot, despite being a relatively newer tool, enjoys support from Microsoft and has an active community that contributes to its ongoing development. However, Conductor has been around for a longer time, resulting in a more mature ecosystem.

  6. Ecosystem Integration: Conductor integrates seamlessly with various Netflix ecosystem components, such as Hystrix for circuit breaking and Ribbon for client-side load balancing. Ocelot, on the other hand, features better integration with Microsoft technologies, including Azure Service Fabric, allowing users to utilize the full potential of the Microsoft ecosystem.

In summary, Conductor and Ocelot differ in terms of scalability, configuration approach, service discovery, routing capabilities, community support, and ecosystem integration. Choosing between them depends on individual project requirements and the specific infrastructure in use.

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Detailed Comparison

Conductor
Conductor
Ocelot
Ocelot

Conductor is an orchestration engine that runs in the cloud.

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.

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.
Routing; Request Aggregation; Service Discovery with Consul & Eureka; Service Fabric; Kubernetes; WebSockets; Authentication; Authorisation; Rate Limiting; Caching
Statistics
GitHub Stars
12.8K
GitHub Stars
8.6K
GitHub Forks
2.3K
GitHub Forks
1.7K
Stacks
66
Stacks
83
Followers
122
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 Conductor, Ocelot?

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.

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.

Moleculer

Moleculer

It is a fault tolerant framework. It has built-in load balancer, circuit breaker, retries, timeout and bulkhead features. It is open source and free of charge project.

Express Gateway

Express Gateway

A cloud-native microservices gateway completely configurable and extensible through JavaScript/Node.js built for ALL platforms and languages. Enterprise features are FREE thanks to the power of 3K+ ExpressJS battle hardened modules.

ArangoDB Foxx

ArangoDB Foxx

It is a JavaScript framework for writing data-centric HTTP microservices that run directly inside of ArangoDB.

Dapr

Dapr

It is a portable, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks.

Zuul

Zuul

It is the front door for all requests from devices and websites to the backend of the Netflix streaming application. As an edge service application, It is built to enable dynamic routing, monitoring, resiliency, and security. Routing is an integral part of a microservice architecture.

linkerd

linkerd

linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.

Jersey

Jersey

It is open source, production quality, framework for developing RESTful Web Services in Java that provides support for JAX-RS APIs and serves as a JAX-RS (JSR 311 & JSR 339) Reference Implementation. It provides it’s own API that extend the JAX-RS toolkit with additional features and utilities to further simplify RESTful service and client development.

Micro

Micro

Micro is a framework for cloud native development. Micro addresses the key requirements for building cloud native services. It leverages the microservices architecture pattern and provides a set of services which act as the building blocks

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