Systems | Development | Analytics | API | Testing

Latest Videos

Building a Real-Time ML Pipeline with a Feature Store - MLOps Live #16

With the growing business demand for real-time use cases such as NLP, fraud prediction, predictive maintenance and real-time recommendations, ML teams are feeling immense pressure to solve the operational challenges of real-time feature engineering for machine learning, in a simple and reproducible way. This is where online feature stores come in. An online feature store accelerates the development and deployment of online AI applications by automating feature engineering and providing a single pane of glass to build, share and manage features across the organization.

Online Meetup: Kong Gateway 2.5 | Performance Testing Framework

Since the general availability of the Kong Gateway (OSS) in version 2.5 we feature a new Performance Testing Framework. In this session, we’ll showcase an example test used for Gateway development, detail how a Kong Developer can get an environment set up to use the framework, and walk-through extending the framework to match your testing needs. Kong’s Online Meetups are a place to learn about technologies within the Kong open source ecosystem. This interactive forum will give you the chance to ask our engineers questions and get ramped up on information relevant to your Kong journey.

Online Meetup: Getting an environment prepared for plugin development

In this session, Senior Engineer Enrique Garcia Cota will walk you through what’s needed in order to build a custom plugin for the Kong Gateway (OSS) - just in time for the Kong Summit Hackathon 2021 starting on September 21st. Kong’s Online Meetups are a place to learn about technologies within the Kong open source ecosystem. This interactive forum will give you the chance to ask our engineers questions and get ramped up on information relevant to your Kong journey.

Services Don't Have to Be Eight-9s Reliable with Liz Fong Jones from Honeycomb | Kongcast Episode 1

In this Kongcast episode, Liz Fong-Jones, principal developer advocate at Honeycomb, introduces us to the concept of error budgets for service-level objectives (SLOs) and demonstrates how to accelerate software delivery with observability.