Matteo de Martino from the Lenses.io Engines team shows you how to read, process & manipulate streaming data with #SQL in any #ApacheKafka. Plus a look at why we use SQL as a common language for streaming in the first place.

Welcome back to our Test Automation Summary series. As we progress to 2021, the Katalon team made a Test Automation Summary 2020 video to reflect the big picture's software testing. This 6-minute video presents the current automation testing tool market and various factors that affect the tool selection process. This recap is synthesized from our Test Automation Landscape Report 2020, reflecting 5,000+ IT professionals' opinions across various industries.

Canary deployment is a helpful tool that allows companies to put in production multiple versions of its products to control flow and access based on different sets of rules, clients, amounts and operations. In this session, we will discuss best practices for canary deployment and share our experiences using Kong Enterprise — supported by Kuma capabilities — in achieving this.

Adamos Loizou walks through how to wrangle data in #Kafka.

Innovate your application and create highly valuable analytic experiences for your end-users with contextual analytics. Contextual analytics, as the next phase of embedded, brings dashboards, automated analysis and analytics directly into your application’s core workflows delivering data directly within the user interface and within the transaction flow. By seamlessly blending analytics and actions, improve both your app’s core functionality and enable opportunities for exciting new analytical experiences for your users - and improve the value of your application.

The team at Tyler Technologies has used Kong to help take the company’s applications from on-premise installations to multi-tenant cloud services. In this session, we’ll explore how Kong can help make this move without clients ever knowing it even happened, how we use Kong Brain to automatically generate OpenAPI documentation for our integrators and the AWS infrastructure choices we made to get a large, robust Kong instance running in AWS.