Systems | Development | Analytics | API | Testing

Trigo is a provider of AI & computer vision based checkout-free systems for the retail market, enabling frictionless checkout and a range of other in-store operational and marketing solutions such as predictive inventory management, security and fraud prevention, pricing optimization and event-driven marketing.

Apache Kafka has gained traction as one of the most widely adopted technologies for building streaming applications - but introducing it (and scaling it) into your business can be a struggle. The problem isn’t with Kafka itself so much as the different components you need to learn and different tools required to operate it. For those motivated enough, you can invest money, effort and long Friday nights into learning, fixing and streamlining Kafka - and you’ll get there.

When something crashes in an app, fixing the bug is usually quite straightforward. But apps can also be blighted by bugs that don’t result in crashes, and this is where things start to get interesting. To find and fix these bugs, you will require as much information as possible and probably a combination of tools. Let me explain a process we know as ‘bug forensics’, based on a real bug that has impacted one of Bugfender’s customers.

We are going to be covering how to deploy a React Native Expo app to Appetize, a platform that lets you run mobile apps in your browser.

For any API-first company, implementing the right API analytics platform is critical for tracking the utilization of your APIs and to discover any performance or functional issues that may be impacting customers. There are a variety of open-source projects you can leverage to build a complete API analytics platform. Before jumping into building an API analytics solution yourself, you should first list out your requirements and use cases.