What is Go Micro and what are its top alternatives?
Go Micro is a framework for distributed systems development written in Go. It provides features such as service discovery, load balancing, message brokering, and distributed tracing. However, one limitation of Go Micro is that it may have a steeper learning curve for developers who are new to the microservices architecture.
gRPC: gRPC is a high-performance, open-source RPC framework developed by Google. Key features include support for multiple languages, automatic client code generation, and bidirectional streaming.
Consul: Consul is a service networking platform designed for distributed systems. It provides features such as service discovery, health checking, and key-value storage. The pros include a robust set of features, while a potential con is managing a Consul cluster can be complex.
etcd: etcd is a distributed key-value store that is commonly used for configuration management in distributed systems. Key features include strong consistency, automatic leader election, and client-side libraries. Pros include simplicity and reliability, but a con is potential performance bottlenecks.
Linkerd: Linkerd is a ultralight service mesh designed for Kubernetes and other cloud-native environments. Key features include automatic mTLS encryption, traffic splitting, and monitoring with Prometheus. Pros include easy installation and minimal performance overhead, while a con might be limited support for non-Kubernetes environments.
Istio: Istio is an open-source service mesh platform that provides features such as traffic management, security control, and telemetry collection. Pros include robust features and community support, while a potential con is complexity in configuration and management.
NATS: NATS is a high-performance messaging system for distributed systems. Key features include simplicity, scalability, and support for cloud-native environments. Pros include performance and ease of use, but a con might be limited features compared to other messaging systems.
Apache Kafka: Apache Kafka is a distributed streaming platform known for its high throughput, fault tolerance, and horizontal scalability. Key features include data replication, message retention, and stream processing. Pros include scalability and fault tolerance, while a con may be complexity in managing Kafka clusters.
RabbitMQ: RabbitMQ is a popular message broker that implements the Advanced Message Queuing Protocol (AMQP). Features include message queuing, routing, and consumer acknowledgment. Pros include reliability and flexibility in message handling, while a con might be potential performance bottlenecks in high-throughput scenarios.
Envoy Proxy: Envoy is a high-performance C++ distributed proxy designed for cloud-native applications. Key features include advanced load balancing, service discovery, and dynamic configuration. Pros include performance and extensibility, while a con might be learning curve for some users.
Spring Cloud: Spring Cloud is a framework for building distributed systems with Java. It provides features such as service discovery, circuit breakers, and distributed tracing. Pros include strong integration with Spring ecosystem, while potential cons may be heavier resource usage compared to lightweight solutions like Go Micro.
Top Alternatives to Go Micro
- 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. ...
- 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
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. ...
- 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. ...
- 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. ...
- 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. ...
- 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. ...
- Netflix OSS
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. ...
Go Micro alternatives & related posts
Istio
- Zero code for logging and monitoring14
- Service Mesh9
- Great flexibility8
- Resiliency5
- Powerful authorization mechanisms5
- Ingress controller5
- Easy integration with Kubernetes and Docker4
- Full Security4
- Performance16
related Istio posts
At my company, we are trying to move away from a monolith into microservices led architecture. We are now stuck with a problem to establish a communication mechanism between microservices. Since, we are planning to use service meshes and something like Dapr/Istio, we are not sure on how to split services between the two. Service meshes offer Traffic Routing or Splitting whereas, Dapr can offer state management and service-service invocation. At the same time both of them provide mLTS, Metrics, Resiliency and tracing. How to choose who should offer what?
As for the new support of service mesh pattern by Kong, I wonder how does it compare to Istio?
Zuul
related Zuul posts
- Lightweight4
- Fast Performance With Microservices1
- Java standard1
related Jersey posts
- CNCF Project3
- Service Mesh1
- Fast Integration1
- Pre-check permissions1
- Light Weight1
related linkerd posts
Azure Service Fabric
- Intelligent, fast, reliable5
- Runs most of Azure core services4
- Reliability3
- Superior programming models3
- More reliable than Kubernetes3
- Open source3
- Quickest recovery and healing in the world2
- Deploy anywhere1
- Is data storage technology1
- Battle hardened in Azure > 10 Years1
related Azure Service Fabric posts
- Manage inter-service state3
- MTLS "for free"2
- App dashboard for rapid log overview2
- Zipkin app tracing "for free"2
- Additional overhead1
related Dapr posts
At my company, we are trying to move away from a monolith into microservices led architecture. We are now stuck with a problem to establish a communication mechanism between microservices. Since, we are planning to use service meshes and something like Dapr/Istio, we are not sure on how to split services between the two. Service meshes offer Traffic Routing or Splitting whereas, Dapr can offer state management and service-service invocation. At the same time both of them provide mLTS, Metrics, Resiliency and tracing. How to choose who should offer what?
- Straightforward documentation1
- Simple configuration1