Golang is a modern open-source language that has several features which make manual as well as automated testing easier. Though one can write automated tests in just about any language Go offers certain benefits due to which we are able to guarantee error and bug-free code to our clients. Golang gives a feature rich standard library support so as to provide an ideal environment for writing and running tests. It also brings in tools such as the Go Test tool which conducts writing tests at development time. Since Go defines a way to write automated tests that are automatically excluded from the compiled executable this test suite runs at the development time. It also provides code coverage analysis, displaying exactly which lines were exercised by tests, and which were not. Coming to the testing environment that Golang provides, here are some of the features that Golang brings into testing:
Logrus is a feature-rich structured logger for Golang. We can write logs asynchronously to avoid extra overhead on the system. It has many known service hooks available such as:
Airbrake: Error monitoring and detection software
InfluxDB - Time Series
Redis Cache and more
Due to asynchronous logging important resources can be saved for other priority tasks.
Service Hooks such as Airbrake help in quick bug fixing and superior test code quality while Redis features in-memory data set.
The resultant effect is that with Logrus we are able to efficiently track and write logs that result in neat and well-written code.
The benchcmp command displays performance changes between benchmarks. Benchcmp parses the output of two 'go test' benchmark runs, correlates the results per benchmark, and displays the deltas.
Golang Benchcmp is one of the most fantastic tools comprising the Golang Toolkit. By setting benchmarks we can easily compare system calls by understanding which piece/version of code performs better. This can help avoid performance bottlenecks.
With Golang Benchcmp we are able to implement superior quality code which is free of any performance bottlenecks.
Uber Go-Torch is a tool for stochastically profiling Go programs. It collects stack traces from Golang’s built-in pprof library and synthesizes this information into a flame graph. The flame graph generates data sets about Time consumption, Memory Consumption, CPU Usage and more.
With so many inputs at their disposal, Uber Go-Torch helps developers to understand and optimize the code to improve system performance to the function level.
The resulting code is optimized for speed, CPU usage, memory usage, performance and time.
Golang Pprof is Golangs built-in Library. It continually generates data. By utilizing the Pprof tool we are able to perform CPU profiling of the system. It helps us analyze the CPU dump and then generate reports on performance in the CPU by generating a flame graph.
When used in collaboration with the above mentioned Uber Go-Torch, Golang Pprof helps us develop code that performs at an optimized level.
At Gowitek we follow test-driven development methodology. Our developers first consider the requires feature specifications and then write the tests. We then implement features by putting in only the code required to prevent any test fails. By doing testing first we ensure that developers should pay equal attention to functionality as well as bug removal. Also by following such test-driven development, we ensure that testing is given an appropriate amount of time and effort and not done in a hurried and rushed manner. To know more about how we are incorporating Golang in doing so please reach out to us .