...but which one is the best?

This video was sponsored by DragonflyDB who provide their own Redis compatible datastore without the need to go through the steps I did in this video :)

Learn more about how Dragonfly can boost performance and reduce costs for the most demanding in-memory workloads: https://rebrand.ly/DragonflyDOC

Additionally, if you want to try and deploy your own Valkey cluster on either Digital Ocean or Hetzner, you can use the same OpenTofu configuration as I did.

# Links
- Github Repo: https://github.com/dreamsofcode-io/redis-1m
- Valkey Docs: https://valkey.io/docs/
- OpenTofu Docs: https://opentofu.org/docs/

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00:00:00 Marker 8
00:01:07 Vertical Scaling
00:05:03 Pipelining
00:07:32 Pipeline Limitations
00:08:19 Horizontal Scaling
00:09:04 Read Replication
00:13:20 Cluster mode
00:17:09 Cluster Caveats
00:20:58 Sponsor
00:23:01 The Cloud

Dreams of Code's resource offers insights, tutorials, and resources for software developers and technology enthusiasts. Readers can learn about coding best practices, software architecture patterns, and emerging technologies. With articles, tutorials, and code samples, Dreams of Code provides  guidance and expertise for building software applications and advancing technical skills.

Dreams of Code

Exploring various strategies to scale Redis or Valkyrie to handle 1 million requests per second, including vertical scaling, horizontal scaling, pipelining, read replication, and using Redis cluster. The post discusses the challenges and benefits of each approach, and introduces Dragonfly DB as a high-performance alternative that can handle requests more efficiently without complex configurations.

There's more than one way to scale Redis/Valkey to 1M op/s...