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.
Protecting sensitive data can be a challenging task for companies. In a connected world in which data privacy regulations are continually changing, some technics offer strong solutions for staying compliant with the latest requirements such as the California Consumer Privacy Act (CCPA) in the United States or the General Data Protection Regulation (GDPR) in Europe.
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.
It’s no secret that, despite the huge movement toward sustainable living, we just can’t live without some things being instant. One such crutch for students worldwide and most of Asia’s young adult population (also the entire American prison system) are the ubiquitous instant noodles. 100 billion servings are eaten every year. It’s convenience in a cup.
