By adopting Hasura, ISOS has elevated the quality and performance of its digital services. This positions ISOS to better serve clients and uphold their mission of saving lives.

In this blog post, we dive deep into a benchmarking project designed to showcase the performance characteristics of Apollo and Hasura GraphQL Engine connected with Oracle RDS when handling large datasets.

Explore how Hasura seamlessly integrates state-of-the-art, open source observability tools via OpenTelemetry giving developers a holistic view of performance, user interactions, and potential bottlenecks.

This post will benchmark Hasura against a handwritten Node.js GraphQL server. The end goal is to show how Hasura performs similarly despite being significantly easier to develop.

When you're trying to diagnose why a particular operation is taking a long time to complete, or just want to better understand what's going on "behind-the-scenes" in your queries, the ability to debug and analyze metrics from your Hasura instance is a critical factor. In this post we'll take a look at how to do this by: * Walking through the tools we have available * Showcasing how to use these tools, with follow-along images and guided descriptions * Discussing "gotchas" and useful tips

In this post, we will look at various aspects of taking a GraphQL API to production and how Hasura helps you through the process seamlessly with it's advanced security and production ready features.