gRPC Developers Hiring Guide

An efficient remote procedure call framework

gRPC is a high-performance, open-source, modern remote procedure call (RPC) framework. Developers use gRPC for transparent communication between client and server applications in distributed systems. The framework allows client applications to make a direct call to methods on a server application. 

gRPC utilizes Protocol Buffers (Protobuf) for data serialization between clients and servers. These Protocol Buffers are also used as interface definitions and message structure. gRPC protocol is based on http2 and implements many of its features, such as persistent TCP connections, compressing headers, and timeout contracts. 

gRPC clients can specify how long they can wait before the RPC times out. This is called deadline time. The server can check if a query has timed out. It can also check how much time is left before the RPC will terminate. If required, both server and client can cancel the RPC from their end. 

  • Hiring Guide

  • Interview Questions

  • Job Description

gRPC offers 2 different kinds of message transfers - unary and streaming. In unary transfer, a client sends a single request to the server and gets a single response. In streaming, more than one message is relayed to another party. Streaming can have 3 types: server streaming, client streaming, and bi-directional streaming. 

In server streaming, the server sends a stream of messages in response to a request. In client streaming, the client sends a stream of messages to the server and waits for its reply. The 2-way streaming (bidirectional streaming) feature allows both the server and client to send a sequence of messages using a read-write stream. The client and server read and write messages in the order they choose. 

gRPC is very safe and uses various authentication mechanisms to improve interaction with other systems. Some of the authentication mechanisms built into gRPC are ALTS, SSL/TLS, and Google Token-based authentication. You can also plug in your own authentication protocol in gRPC.  


gRPC In Today’s Market

gRPC was first created in 2015 by Google as an open-source project. Since December 2020, gRPC has been under an incubation status within CNCF. Despite that, it’s still used worldwide in a variety of projects. Being a Google product also raises gRPC's credibility to a whole new extent.

gRPC is lightweight and allows for contact first API development. Therefore, it’s highly useful for systems where efficiency and point-to-point streaming responses are required. Many companies such as Slack, Microsoft, Groww, and Medium use gRPC. Moreover, gRPC has proven to be much faster than REST, the most popular state transfer protocol in use today.  


Issues Faced While Hiring gRPC Developers

Hiring gRPC developers is a challenge for many businesses since employers desire a qualified and reliable gRPC professional who can handle specific business requirements. Often, developers only have the basic understanding of gRPC, but they lack the expertise to effectively implement it into industry-level projects and services. 

Even if they are good with gRPC integration, many developers don't have enough experience in debugging and bug fixing. Simple things like keeping non-primitive string inputs in gRPC protobuf or using non-standard keywords (nil instead of null) can cause runtime errors in the final product. 

Sometimes, even though a candidate has full knowledge of gRPC, they may face difficulty with implementation. For example, memory issues and buffer overflow issues can pop up if developers don't use memory-safe languages during development. 

That lack of knowledge is the major hurdle companies have to overcome when hiring gRPC developers. However, it isn’t an overly complicated issue, as there are plenty of senior developers capable of handling gRPC successfully. 


How To Choose The Best gRPC Developer

The selected candidate should be very experienced with gRPC and architecture development. In addition, they should have good exposure to protocol buffers, performance tuning, and service development. 

The developer should also be knowledgeable about microservices management. They should be able to write test suites and modules and work on fixing bugs. Knowledge of error handling is required to deliver a high-quality end product.

They should also know about GCP and distributed cloud. They should also be able to work on project scalability, both horizontal and vertical. 


Conclusion

Many companies use gRPC despite it still being in an incubation status. It enables transparent communication between client and server applications. Many organizations worldwide have incorporated gRPC and it’s regarded as the next big thing for communication. For easy scalability and efficiency, gRPC is still the way to go for all distributed applications and services.

What is a protocol buffer?

A protocol buffer is a powerful and open-source mechanism for the serialization of structured data. It’s used to create programs and services that can communicate with each other over a network. For example, protobuf encodes data and provides interface definition language for services. It also provides the message format for sending messages. 


What are some of the languages supported by gRPC, and how is it important?

One of the biggest benefits of gRPC is that it supports multiple languages. gRPC supports C#, Java, Go, Python, Ruby, PHP, and Node.js, among many others. Multi-language support offers flexibility to implement services in a language that best suits the developer/organization. 


Which one is better- gRPC or REST?

According to Google, gRPC performs much better than REST in terms of sending and receiving data. Therefore, it’s regarded as the future of enterprise communication. It’s high-performance, supports multiple languages, and runs over http2. 

But it is a fairly new framework, and organizations worldwide have already adopted REST. Moreover, REST uses HTTP and http2. Therefore, REST works best when standardization of HTTP protocol and high-speed iteration is required. 


What are Client and Server Stubs, and how are they used?

Stubs are small pieces of code used for the conversion of parameters during a remote procedure call. Stubs can be generated both automatically and manually. 

Client stubs take the client parameters and make a system call. They also recover the results from the Server after the query execution to return to the client. Server stubs convert the messages passed on by clients and work with the server procedure to create results. They then send it back to the client.


Explain the difference between remote procedure calls and local calls

Remote calls occur between different network nodes or different networks, while a single server handles local calls. 

Remote calls can sometimes crash without the user’s knowledge. Local calls, on the other hand, generally don’t fail. Remote calls are also slow compared to local calls.

We are looking for a highly qualified gRPC developer that can design and implement communication architecture for large-scale distributed applications and systems. We are looking for a qualified professional who can code and debug open-source components. The developer should be a team player and able to collaborate with different teams for diverse projects.


Responsibilities

  • Write reusable and reliable enterprise-level code
  • Create projects using Redis and Go and apply architecture using gRPC. 
  • Work on complex architecture components.   
  • Develop distributed, real-time infrastructure. 
  • Work on low-level components (kernels).
  • Coordinate with internal and external teams to understand business requirements
  • Follow best industry practices and standards
  • {{Add other relevant responsibilities}}

Skills and Qualifications

  • Knowledge of Go/Redis. The developer should also have prior experience with gRPC. 
  • Experience in designing efficient, high-performance code and modules 
  • Proven experience with building high-throughput systems
  • Deep understanding of distributed architecture and client master communication. 
  • Experience with low latency coding for microservices
  • Experience with code versioning tools (Git and Jenkins)
  • Problem-solving skills and team spirit 
  • {{Add other frameworks or libraries related to your development stack}} 
  • {{List education level or certification required}}

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