Scaling moderate sized websites

• Sentry

  265 36,817 10.0 Python

  Developer-first error tracking and performance monitoring

  

A solid error tracking tool - e.g. : https://newrelic.com/platform/application-monitoring or https://sentry.io/. When stuff breaks - you'd want to know as quickly as possible because downtime at scale can be costly. With these sort of tools - you can constantly monitor your applications health and react more quickly and efficiently when something breaks.

• Redis

  318 64,705 9.7 C

  Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

  

Caching - while it's not possible to cache everything, there's always a large percentage of your website / app that can be cached for an hour or ten minutes or 1 day etc... - all depends on the type of content but the longer you can cache for without negatively effecting content quality - the better. A good caching server example would be redis : https://redis.io/ or https://memcached.org/

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• Memcached

  55 13,178 8.5 C

  memcached development tree

  

Caching - while it's not possible to cache everything, there's always a large percentage of your website / app that can be cached for an hour or ten minutes or 1 day etc... - all depends on the type of content but the longer you can cache for without negatively effecting content quality - the better. A good caching server example would be redis : https://redis.io/ or https://memcached.org/

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