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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
For testing purposes, Go provides a go test command that automatically discovers tests within your application and supports features such as caching and code coverage. However, if you require more advanced testing capabilities such as suites or mocking, you will need to install a toolkit like testify. Overall, while Go provides a highly effective testing experience, it's worth noting that writing tests in Python using pytest is arguably one of the most enjoyable testing experiences I have encountered across all programming languages.
Another useful tool in Go is the go vet command, which helps to identify common coding mistakes such as unreachable code or useless comparisons. In addition, external linters like staticcheck can be used to detect bugs and performance issues with ease.
One of the main things that makes Go well-suited for backend development is its standard library. This library includes a variety of useful packages for tasks such as encoding, cryptography, and database management. Most importantly, it also includes packages for building HTTP servers, which means you can create a semi-sophisticated API without needing to install any additional dependencies. For instance, I was able to develop an authentication API for interacting with Auth0 using just one external package (for structured logging). You can view the code here: goloxy.