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  5. AWS App Mesh vs Zeebe

AWS App Mesh vs Zeebe

OverviewComparisonAlternatives

Overview

AWS App Mesh
AWS App Mesh
Stacks23
Followers205
Votes0
Zeebe
Zeebe
Stacks13
Followers33
Votes0

AWS App Mesh vs Zeebe: What are the differences?

## Introduction

AWS App Mesh and Zeebe are both popular tools used in cloud computing and microservices architectures. However, they have key differences that differentiate their functionality and purpose.

1. **Service Orchestration vs Workflow Automation**: AWS App Mesh focuses on service orchestration by managing the communication between microservices to ensure efficient and reliable communication. On the other hand, Zeebe is a workflow automation tool that enables the definition, execution, and monitoring of workflow processes involving multiple microservices. 
   
2. **Managed vs Self-hosted**: AWS App Mesh is a managed service provided by Amazon Web Services, meaning that AWS takes care of the infrastructure and maintenance. Zeebe, on the other hand, needs to be self-hosted, giving more control but also requiring more resources for maintenance and updates.

3. **Protocol Support**: AWS App Mesh supports various protocols like gRPC, HTTP, and TCP, allowing for flexible communication between microservices. Zeebe, on the other hand, primarily relies on BPMN (Business Process Model and Notation), which is a standardized notation for defining workflows.

4. **Scalability and Extensibility**: AWS App Mesh provides scalability and extensibility through AWS's infrastructure and integration with other AWS services. Zeebe, on the other hand, offers scalability through horizontal scaling of its clusters and allows for extensibility through custom plugins.

5. **Use Case Focus**: While AWS App Mesh is focused on providing networking capabilities for microservices within AWS environments, Zeebe is more tailored towards workflow automation and orchestration, making it ideal for businesses with complex workflow requirements.

6. **Pricing Structure**: AWS App Mesh follows the standard AWS pay-as-you-go pricing model based on usage and resources consumed. In contrast, Zeebe has a different licensing model, depending on the edition chosen and the number of workflow instances required.

In Summary, the key differences between AWS App Mesh and Zeebe lie in their focus on service orchestration vs workflow automation, managed vs self-hosted deployment, protocol support, scalability and extensibility options, use case focus, and pricing structure.

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Detailed Comparison

AWS App Mesh
AWS App Mesh
Zeebe
Zeebe

AWS App Mesh is a service mesh based on the Envoy proxy that makes it easy to monitor and control containerized microservices. App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications. App Mesh gives you consistent visibility and network traffic controls for every microservice in an application. You can use App Mesh with Amazon ECS (using the Amazon EC2 launch type), Amazon EKS, and Kubernetes on AWS.

It is a workflow engine for microservices orchestration. It ensures that, once started, flows are always carried out fully, retrying steps in case of failures. Along the way, it maintains a complete audit log so that the progress of flows can be monitored. It is fault tolerant and scales seamlessly to handle growing transaction volumes.

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Define Workflows Graphically; Choose Your Programming Language; Deploy To Kubernetes; Build Message-Driven Workflows; Scale Up To (Very) High Throughput; Export and Analyze Workflow Data; Fault Tolerance (No Database Required)
Statistics
Stacks
23
Stacks
13
Followers
205
Followers
33
Votes
0
Votes
0
Integrations
Amazon EKS
Amazon EKS
Amazon EC2
Amazon EC2
Kubernetes
Kubernetes
Envoy
Envoy
Amazon EC2 Container Service
Amazon EC2 Container Service
Docker
Docker
Java
Java
Golang
Golang
Kubernetes
Kubernetes

What are some alternatives to AWS App Mesh, Zeebe?

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.

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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