History of Golang
Go, also known as Golang, is a statically typed programming language developed by a team at Google, led by Robert Griesemer, Rob Pike, and Ken Thompson. They wanted to address criticism of other languages in use at Google, but keep their useful characteristics:
- Static typing and run-time efficiency (like C)
- Readability and usability (like Python)
- High-performance networking and multiprocessing
Go’s simplicity, efficiency, and strong support for concurrency have made it popular for a wide range of applications, including web servers, distributed systems, and cloud-native development. Its focus on readability, performance, and ease of use has attracted developers looking for a language that combines productivity and performance in a straightforward manner.
Why choose Golang?
Efficient Performance
Go is designed to deliver high-performance applications. It has a robust garbage collector that manages memory automatically, reducing the burden on developers. Go’s compilation process produces statically linked binaries that are lightweight and efficient. Additionally, Go’s runtime includes features like native code generation, efficient goroutine scheduling, and low-level control over memory layout, enabling efficient execution.
Fast Compilation
Go’s compiler is known for its speed. It quickly compiles Go code to machine code, resulting in short build times. This rapid compilation facilitates faster software development cycles and is particularly valuable for large codebases and projects requiring quick iterations.
Cross-Platform Support
Go is a cross-platform language, supporting major operating systems such as Windows, macOS, Linux, and more. This allows developers to write code once and easily deploy it on different platforms, reducing development and maintenance efforts.
Easy Deployment and Distribution
Go’s compiled binaries are self-contained and have no external runtime dependencies. This makes it easy to deploy Go applications since they can be distributed as standalone executables. The lack of runtime dependencies simplifies deployment and reduces compatibility issues across different environments.
Comparing Golang with other technologies
Prefer Golang for System Software, Infrastructure, and CLI tools
Go (Golang) is an excellent choice for microservices and APIs due to its efficient concurrency model, enabling seamless handling of multiple requests simultaneously. Its compiled nature ensures high performance with low latency, crucial for responsive APIs. The language’s simplicity and robust standard library expedite development, while static typing and built-in testing enhance reliability. Additionally, Go’s support for containerization simplifies deployment, making it an ideal language for building scalable, efficient, and easily deployable microservices and APIs.
Prefer Ruby for Rapid Prototyping and Web Development
Ruby is renowned for its elegant syntax and developer-friendly environment, making it an excellent choice for rapid prototyping and web development projects. Applications that prioritize quick development cycles, ease of use, and developer productivity can benefit from Ruby’s simplicity. Ruby on Rails, a popular web framework, streamlines web application development, enabling developers to create feature-rich websites with minimal effort.
Prefer Python for Data Science and Machine Learning
Python’s versatility and extensive libraries make it a top contender for data science and machine learning projects. Its rich ecosystem, including libraries like NumPy, Pandas, and TensorFlow, provides powerful tools for handling and analyzing data. Python’s ease of integration, combined with its strong community support, positions it as a go-to language for data analysis, scientific computing, and machine learning projects.
Prefer Elixir for Concurrent and Real-Time Systems
Elixir’s strong suit lies in its concurrency model and real-time capabilities. When building systems that demand high concurrency, low latency, and fault tolerance, Elixir shines. Applications requiring real-time updates, such as messaging platforms, collaborative tools, and financial systems, benefit from Elixir’s ability to efficiently manage numerous concurrent tasks without sacrificing performance or stability.
Prefer Java for Enterprise Applications and LTS projects with legacy integrations
Java is a popular choice for enterprise applications because of its scalability, able to handle large volumes of data and users without sacrificing performance. Its robust security features, including strong encryption and built-in security libraries, make it ideal for applications that require secure data handling. Java Enterprise Edition (Java EE) offers a rich ecosystem of pre-built libraries and frameworks, making it quicker and easier to build complex applications. Furthermore, Java’s platform-agnostic nature ensures that your enterprise application can run seamlessly across different operating systems, reducing infrastructure and maintenance costs.
Prefer Node.js for Web Applications with Asynchronous and I/O-Intensive Operations
Node.js is particularly well-suited for developing web applications that involve numerous asynchronous and I/O-intensive tasks. Its event-driven architecture and non-blocking I/O model enable the efficient handling of multiple connections and tasks simultaneously. This makes Node.js an ideal choice for applications requiring high concurrency levels, such as online collaboration tools, real-time dashboards, and streaming platforms. Node.js’s ability to manage many concurrent connections while maintaining responsiveness makes it a strong candidate for scenarios involving heavy I/O operations.
Our cases
Here we explore some of our successful cases where Golang has been the driving force behind groundbreaking solutions.
Launch of the Innovative Mobile App for Insurance Company
Domain: Automotive & Fleet Management | Insurance
In the world of insurance, staying competitive means embracing innovation. Our Golang-based solution allowed us to develop an innovative mobile app for an insurance company, resulting in an impressive 30% increase in customer flow. Golang’s performance and concurrency capabilities ensured that the app could handle the demands of the insurance industry efficiently.
How to Cut 40% of Maintenance Cost with IoT Technologies M2M System
Domain: Automotive & Fleet Management
Maintenance costs can be a significant burden for automotive and fleet management companies. Leveraging Golang’s strengths in concurrency and efficiency, we created an IoT-based machine to machine system that enabled our clients to reduce maintenance costs by a remarkable 40%. This achievement showcases Golang’s ability to handle data-intensive tasks and streamline operations in the automotive sector.
