Understanding TTFB Latency in DJango - Seems absurdly slow after DB optimizations even locally

This page summarizes the projects mentioned and recommended in the original post on /r/django

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • django-silk

    Silky smooth profiling for Django

  • you're using DRF, which DDT doesn't work well with. DDT is more for template rendered pages, not API responses. Have you brought in Django silk for monitoring this?

  • join-monster

    A GraphQL to SQL query execution layer for query planning and batch data fetching.

  • GraphQL could be efficiently translated into SQL and things certainly try, but the only thing close to a "bulletproof" implementation I found was Join Monster (https://github.com/join-monster/join-monster) in NodeJS-land and even that I think is now mostly abandoned. GraphQL as a system was built assuming random-access to data stores is ~free because that's what Facebook has, but the rest of us don't :)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • graphql-core

    A Python 3.6+ port of the GraphQL.js reference implementation of GraphQL.

  • graphql-js

    A reference implementation of GraphQL for JavaScript

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts