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  5. Dapr vs linkerd

Dapr vs linkerd

OverviewComparisonAlternatives

Overview

linkerd
linkerd
Stacks132
Followers312
Votes7
Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K

Dapr vs linkerd: What are the differences?

  1. Deployment Model: Dapr and Linkerd have different deployment models. Dapr is designed to be a runtime that is embedded within the application, enabling developers to write their applications without being tightly coupled to any specific infrastructure or platform. On the other hand, Linkerd is a service mesh that operates as a separate layer in the infrastructure, intercepting network traffic between services and providing observability, security, and reliability features.

  2. Service Discovery: Dapr and Linkerd differ in their approaches to service discovery. Dapr relies on external service discovery mechanisms, such as Kubernetes' DNS-based discovery or Consul, to locate and connect to other services. Linkerd, on the other hand, has its own integrated service discovery mechanism that automatically generates a registry of services based on the Kubernetes API, simplifying the service-to-service communication.

  3. Traffic Routing: Dapr and Linkerd handle traffic routing differently. Dapr relies on sidecar proxies to handle inbound and outbound traffic, allowing developers to define routing rules and policies using service invocation patterns. Linkerd, on the other hand, uses its own data plane proxy to transparently route traffic between services based on a set of predefined rules and policies configured in the control plane.

  4. Protocol Support: Dapr and Linkerd have different levels of protocol support. Dapr provides a pluggable model that allows developers to use various protocols for communication between services, including HTTP, gRPC, and Pub/Sub. Linkerd, on the other hand, primarily focuses on HTTP-based protocols and provides features such as HTTP/2 and WebSocket support, while also working with gRPC.

  5. Fault Injection: Dapr and Linkerd differ in their fault injection capabilities. Dapr provides built-in support for injecting faults, such as delays, retries, and failures, into service interactions, allowing developers to test the resilience of their application. Linkerd, on the other hand, offers more advanced fault injection capabilities through its traffic control policies, allowing operators to simulate latency, errors, and timeouts at the network layer.

  6. Security: Dapr and Linkerd also differ in their security features. Dapr provides a secure communication model by default, using mutual TLS authentication between services, while also offering encryption at rest for state management. Linkerd, on the other hand, provides security features such as mutual TLS authentication, access controls, and request-level encryption for securing communication within the service mesh.

In summary, Dapr and Linkerd differ in their deployment models, service discovery approaches, traffic routing mechanisms, protocol support, fault injection capabilities, and security features.

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Detailed Comparison

linkerd
linkerd
Dapr
Dapr

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 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.

Adaptive load-balancing;Fine-grained instrumentation;Abstractions over service discovery;Runtime traffic routing;Tech that's built for scale
Event-driven Pub-Sub system with pluggable providers and at-least-once semantics; Input and Output bindings with pluggable providers; State management with pluggable data stores; Consistent service-to-service discovery and invocation; Opt-in stateful models: Strong/Eventual consistency, First-write/Last-write wins; Cross platform Virtual Actors; Rate limiting; Built-in distributed tracing using Open Telemetry; Runs natively on Kubernetes using a dedicated Operator and CRDs; Supports all programming languages via HTTP and gRPC; Multi-Cloud, open components (bindings, pub-sub, state) from Azure, AWS, GCP; Runs anywhere - as a process or containerized; Lightweight (58MB binary, 4MB physical memory); Runs as a sidecar - removes the need for special SDKs or libraries; Dedicated CLI - developer friendly experience with easy debugging; Clients for Java, Dotnet, Go, Javascript and Python
Statistics
GitHub Stars
-
GitHub Stars
25.2K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
132
Stacks
96
Followers
312
Followers
336
Votes
7
Votes
9
Pros & Cons
Pros
  • 3
    CNCF Project
  • 1
    Light Weight
  • 1
    Pre-check permissions
  • 1
    Fast Integration
  • 1
    Service Mesh
Pros
  • 3
    Manage inter-service state
  • 2
    Zipkin app tracing "for free"
  • 2
    App dashboard for rapid log overview
  • 2
    MTLS "for free"
Cons
  • 1
    Additional overhead
Integrations
No integrations available
.NET Core
.NET Core
Java
Java
Python
Python
Microsoft Azure
Microsoft Azure
Kubernetes
Kubernetes
JavaScript
JavaScript
Google Cloud Platform
Google Cloud Platform
Golang
Golang

What are some alternatives to linkerd, Dapr?

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.

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.

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

Claudia

Claudia

Claudia helps you deploy Node.js microservices to Amazon Web Services easily. It automates and simplifies deployment workflows and error prone tasks, so you can focus on important problems and not have to worry about AWS service quirks.

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