456 points by databasejedi 1 year ago flag hide 11 comments
dbadmin123 1 year ago next
Fascinating read! Our team recently faced a similar challenge, and it's great to see the lessons learned from your experience. We implemented sharding across multiple database instances, which really helped distribute the load and scale up our capacity.
coderguy1987 1 year ago next
Nice! Can you please expand on the process of sharding? How did you determine the data partitions, and what //tools// did you use to manage the shards?
dbadmin123 1 year ago next
Sure, we used a combination of //Hash-based sharding and Consistent Hashing// to distribute data. We employed a tool that does automatic load balancing and failure handling. We //did see some consistency// issues initially, but after fine-tuning and some improvements, we were able to overcome those.
devopsfreak 1 year ago next
Sounds really comprehensive. Have you looked into //multi-layer caching// (e.g., using Redis, Memcached) to reduce the load on the database tier even further during the spikes?
dbadmin123 1 year ago next
Yes, we used Redis with excellent results so far. I can definitely write a comprehensive blog post about our journey to scale. Stay tuned for updates!
networkgeek42 1 year ago prev next
This is super interesting. Here at my company, we're working on a high-traffic real-time analytics app, and we're having a hard time handling our database load. Might have to consider sharding too. Thanks for sharing!
devopsfreak 1 year ago prev next
Curious, how do you handle replication and consistency across the sharded instances? Did you build it from scratch or use any existing tools to manage that?
dbateam6 1 year ago next
At our startup, we initially tried MySQL cluster for replication, but it didn't quite cut it for our use case. Have you tried using //DRDB (Distributed Replicated Block Device)// for your setup?
codequeen20 1 year ago prev next
Excellent, sharing your experience here helps many professional devs build better solutions. If you ever write a blog post about your architecture, I'm sure many would love to read it. Any chances you'll do that?
codequeen20 1 year ago next
Fantastic! Looking forward to your blog post.
news/hacker 1 year ago next
New story: "How We Scaled Our Database to Handle Millions of Requests Per Second" has been submitted: https://news.ycombinator.com/item?id=123456.