April 2023 Summaries

In a recent blog post, Hasura and CockroachDB demonstrated their ability to handle thousands of requests per second with low CPU utilization. They achieved this by automating the manual effort required in making production-ready APIs, allowing developers to focus on building differentiated products instead of writing APIs. The performance benchmarks showed that a single Kubernetes pod can easily handle significant loads on CockroachDB using just one instance of Hasura. This serverless nature of both Hasura and CockroachDB saves time in scaling systems and cost, as they auto-scale based on load.

Apigee and Hasura are two platforms that can be used together to create a complete enterprise API strategy. While Apigee is an API Management Platform focused on managing the life cycle of APIs, Hasura is a Data API Platform that generates GraphQL or REST APIs from underlying databases and data sources. When working in parallel, these solutions form the backbone of a complete enterprise API strategy. In this architecture, Apigee serves as the TLS termination point and intelligent routing layer for Hasura generated APIs, while Hasura handles API generation, authorization, and data federation tasks. This streamlined approach improves overall developer experience, increases adoption of new Hasura-generated API endpoints, and ensures proper governance and security standards are met.

The text discusses the process of converting REST endpoints from OpenAPI specification to GraphQL using Hasura, an open-source engine that connects data sources and provides a GraphQL API. This conversion is made easier with Hasura's new feature, which allows developers to import multiple REST endpoints in just 2 clicks. The benefits of moving from REST to GraphQL include more efficient data retrieval, better control for clients, easier evolution of APIs, increased flexibility, and a better developer experience. The process involves preparing the OpenAPI specification JSON/YAML file, loading it on Hasura console UI, importing endpoints to the GraphQL schema, testing the endpoint, adding action permissions, and making additional configurations as needed.

The Hasura Enterprise Edition offers a free trial for developers to experience advanced features without the need for sales conversations. This edition includes support for instant GraphQL APIs on various databases, security enhancements like API limiting and role-based allow lists, performance improvements such as caching and read replicas, and observability features like Prometheus metrics and OpenTelemetry traces. To get started with the trial, users can follow a quick start guide to explore all Hasura Enterprise Edition features for 30 days without requiring a credit card.

This blog discusses the use of Google Cloud Platform (GCP) services like Cloud SQL, AlloyDB, and BigQuery with Hasura GraphQL Engine to build an efficient data management system. Hasura GraphQL Engine is an open-source engine that enables developers to create GraphQL APIs quickly. GCP Cloud SQL is a fully managed relational database service, while AlloyDB is a distributed SQL database offering high performance and scalability. BigQuery is a fully managed, serverless data warehouse for fast and scalable analytics. By integrating Hasura with these GCP services, developers can build robust data management systems that handle large amounts of data efficiently.

The blog discusses the benefits of using AlloyDB and Hasura together to build powerful and scalable applications. AlloyDB is a distributed SQL database designed for high availability and fault tolerance, while Hasura is an open-source engine that provides instant GraphQL APIs for existing databases. By combining these two technologies, developers can create efficient and scalable applications with real-time capabilities. The blog also explores various use cases such as real-time chat applications, e-commerce platforms, social media platforms, IoT dashboards, and content management systems that can be built using Hasura on AlloyDB.