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  5. Tars vs linkerd

Tars vs linkerd

OverviewComparisonAlternatives

Overview

linkerd
linkerd
Stacks132
Followers312
Votes7
Tars
Tars
Stacks6
Followers15
Votes0
GitHub Stars10.0K
Forks2.1K

Tars vs linkerd: What are the differences?

Key Differences between Tars and Linkerd

  1. Scope of functionality: Tars is primarily focused on providing a robust microservices framework, offering functionality for service communication, deployment, monitoring, and management. In contrast, Linkerd is more focused on providing service mesh capabilities for reliable service-to-service communication in distributed systems.

  2. Service discovery and load balancing: Tars offers built-in support for service discovery and load balancing mechanisms, making it easier for developers to manage and scale their services. On the other hand, Linkerd integrates with service discovery tools like Kubernetes for resolving service endpoints and offers advanced load balancing features based on traffic patterns.

  3. Data plane proxy: Tars utilizes its proprietary RPC framework for communication between services, while Linkerd utilizes lightweight proxies like Envoy to handle traffic between services, providing features like retries, timeouts, and circuit breaking at the proxy level.

  4. Monitoring and observability: Tars includes monitoring tools for tracking service performance, resource usage, and health checks, but Linkerd offers more extensive observability features like distributed tracing, metrics collection, and service-level dashboards to give detailed insights into the service mesh behavior.

  5. Security features: Tars provides security features like authentication, authorization, and encryption mechanisms for securing service communication within the framework itself. In comparison, Linkerd focuses on securing service communication through mTLS (mutual Transport Layer Security) and integrating with existing security tools like SPIFFE/SPIRE for identity management.

  6. Community support and ecosystem: Tars has a strong community in China and Asia, with many production deployments in that region, while Linkerd has a more global community presence, active contributors, and integrations with popular tools and platforms like Prometheus, Grafana, and Jaeger.

In Summary, Tars and Linkerd differ in their scope of functionality, service discovery, data plane proxy usage, monitoring capabilities, security features, and community support.

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Detailed Comparison

linkerd
linkerd
Tars
Tars

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.

It is an open-source microservice platform. It contains a high-performance RPC framework and a service management platform. Based on Tars, you can develop a reliable microservice system efficiently. It is designed for high reliability, high performance, and efficient service management. By significantly reducing system operation work, developers can focus on business logic and meet fast changes of user requirements.

Adaptive load-balancing;Fine-grained instrumentation;Abstractions over service discovery;Runtime traffic routing;Tech that's built for scale
Microservices platform; Multiple programming languages supporting; High performance; Agile R&D; High Availability; Efficient Operation; Massive requests
Statistics
GitHub Stars
-
GitHub Stars
10.0K
GitHub Forks
-
GitHub Forks
2.1K
Stacks
132
Stacks
6
Followers
312
Followers
15
Votes
7
Votes
0
Pros & Cons
Pros
  • 3
    CNCF Project
  • 1
    Service Mesh
  • 1
    Light Weight
  • 1
    Pre-check permissions
  • 1
    Fast Integration
No community feedback yet
Integrations
No integrations available
Node.js
Node.js
PHP
PHP
Golang
Golang
Java
Java
Linux
Linux
C++
C++
macOS
macOS

What are some alternatives to linkerd, Tars?

gRPC

gRPC

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

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.

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.

Ocelot

Ocelot

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.

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