We are pleased to announce the next release of our flagship enterprise offering, Kong Enterprise 1.5! This follow-up release adds additional stability and features on top of our last major release, Kong Enterprise 1.3, which we announced at Kong Summit 2019. Kong Enterprise 1.5 key features include Kong Immunity Consumer Alerts, OIDC improvements, and Kong Developer Portal Application Registration. There are also several smaller features and stability improvements packaged here.
In a market where streaming analytics is growing in popularity, it’s critical to optimize data processing so you can reduce costs and ensure data quality and integrity. One approach is to focus on working only with data that has changed instead of all available data. This is where change data capture (CDC) comes in handy. CDC is a technique that enables this optimized approach.
Since childhood, we’ve been taught about the power of coalitions: working together to achieve a shared objective. In nature, we see this repeated frequently – swarms of bees, ant colonies, prides of lions – well, you get the idea. It is no different when it comes to Machine Learning models. Research and practical experience show that groups or ensembles of models do much better than a singular, silver bullet model. Intuitively, this makes sense.