This is part three in a series discussing the metrics pipeline powering Kong Cloud. In previous posts in this series, we’ve discussed how Kong Cloud collects, ships, and stores high volumes of metrics and time-series data. We’ve described the difference between push and pull models of collecting metrics data, and looked at the benefits and drawbacks of each from a manageability and performance perspective.
Apigee is great at managing your existing APIs – but how can you bring new technologies into your Apigee suite that lack an appropriate API? As it happens, DreamFactory is perfectly suited to creating a REST API fast for whatever datasource you need, and it can now be plugged straight into Apigee.
Apigee is great at managing your existing APIs – but how can you bring new technologies into your Apigee suite that lack an appropriate API? As it happens, DreamFactory is perfectly suited to creating a REST API fast for whatever datasource you need, and it can now be plugged straight into Apigee.
The third wave of test automation brings about more concepts in software delivery – one of which is ‘continuous testing.’ However, mastering continuous testing is difficult; choosing the right continuous testing tool is even more overwhelming.
