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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.
So what to test? We decided to test what the client recognized as key functionalities. For the client, most of the functionality is crucial, we had to use our intuition. Of course, no one is able to write tests for an unknown existing system that will cover everything, having no budget for it. We used PHPUnit. We have also added smoke tests (does it return "200"?) to most of the subpages that we managed to find by clicking.
Sometimes a product becomes popular. Traffic is increasing, we are opening up to new markets. We have come to the point where we had to migrate to the cloud. We choose Google Cloud and Kubernetes. The fact that we used the docker from the beginning was helpful. We had sessionless authentication, filesystem abstraction, all infrastructure in docker, we were cloud-ready, so that's happened.
For example, logging into the system was one of the first. Remember how it worked so far? The user logged in in legacy, his username was saved in the session (memcached) and the username in the new part was taken from the session, after which the user could be authorized in both. Now we had to reverse this mechanism. By the way, we decided to stop using the memcached session and replace it with the JWT token passed in the cookie. This was also necessary later to be able to scale the app in the Cloud (sessionless authentication).