Systems | Development | Analytics | API | Testing

Secure & Govern APIs & Services | Kong Summit 2020 Demo

As the number of services and API teams are growing, control by a central IT team is declining. Rather than enforcing governance it is better to empower the application teams to do the right thing and build in security, governance and compliance into their applications. See how you can do this with Kong by encoding governance into on-boarding, and by providing the dev teams with the ability to inject compliance through fine-grained security policies. Here, we'll demo mTLS & OIDC plugins, RBAC, and Worspaces as ways to efficiently solve security and governance challenges using Kong Enterprise.

Validating Jet Engine Predictive Models Using Cloudera Machine Learning

In this video, we’ll go over how to use Cloudera Machine Learning (CML) to validate a complex predictive model. Using a publicly available NASA dataset that simulates how jet engines degrade over time, we’ll use machine learning concepts in a cloud environment to go from simulation data to a cost benefit analysis in just a few steps. We’ll also show how we can run experiments to track specific metrics from many different scenarios that our predictive model could possibly be implemented in.

[TUTORIAL] How To Create and Execute Test Suites In Katalon Studio

In this video, we'll cover how to create and execute 3 types of test suites in Katalon Studio: Basic Test Suite, Test Suite Collection, and Dynamic Test Suite. We'll also give you an introduction to the Script mode integration in testing test suites and our WebUI keywords in action. Codeless testing tool is the easiest way for new automation testers to start learning and experimenting with test automation.

Anomaly detection 101

What is anomaly detection? Anomaly detection (aka outlier analysis) is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior. Machine learning is progressively being used to automate anomaly detection.

The Application of External Data in Everyday Life | Rise of the Data Cloud

In Part 2 of this episode, Jennifer Forrester deep dives into the value and application of external data. She talks about how data warehouses help real estate developers, telecom companies, and city planners look at traffic patterns to help determine public and product demands. Rise of the Data Cloud is brought to you by Snowflake.