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The hosts discuss improving the performance of the Syntax.fm website, including caching, loading transcripts, and optimizing database calls. They also talk about the benefits of using Apollo and Apollo GraphQL, as well as solving issues with LinkedIn using Redis caching.
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Quick takeaways
- Identifying performance issues through the eye test, web vitals, and database query analysis helped prioritize areas for improvement.
- Optimizing the loading of transcripts by separating it into its own route and leveraging nested layout routing significantly improved loading time and reduced unnecessary database queries.
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Identifying Performance Issues and Metrics
The hosts of the podcast discuss how they identified the performance issues on their website by using the eye test, web vitals, and database query analysis through tools like Sentry. They focused on the slowest routes of the site and analyzed metrics such as time to first byte and opportunity score to prioritize areas for improvement. They also used the queries feature to identify slow database queries and discovered an easy fix by switching from 'find first' to 'find unique' method in Prisma.
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