Building a Calendar and Scheduling App with Harper
Blog post from Harper
Calendar systems often become complicated due to the need for coordination between multiple services, leading to issues such as synchronization problems and distributed system challenges. Harper simplifies this by running everything in one process, including the database, cache, real-time updates, and conflict detection, eliminating the need for network calls and complex synchronization. Using GraphQL, Harper defines data models and generates REST endpoints automatically, while real-time updates are facilitated through built-in WebSockets, offering instant updates without message brokers. Storing data in UTC and converting time zones at query time further simplifies the process. This single-process architecture reduces complexity, minimizes latency, and allows developers to focus on creating scheduling features rather than debugging distributed systems.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.