marzoeva

3 ms·

1.
Caching Partially Materialized Views Consistently(blog.the-pans.com)
2 points by marzoeva 3y ago|1 comments
2.
Why hasn't caching gotten easier?(readyset.io)
10 points by marzoeva 4y ago|0 comments
3.
by marzoeva 4y ago
Yes, co-founder. You can read our initial announcement below! https://twitter.com/jonhoo/status/1511401461669720068 https://readyset.io/blog/introducing-readyset
4.
by marzoeva 4y ago
We need either Consul or Zookeeper (for leader election). No dependency on Redis! That part of the blog post refers to ReadySet having a SQL interface, rather than a key-value one.
5.
by marzoeva 4y ago
Funnily enough, I wrote a paper on this topic when I was in grad school. It's not on our short-term roadmap at ReadySet, but this idea is certainly compatible with the underlying dataflow model. I'd love to hear more about what yo
6.
by marzoeva 4y ago
This is indeed our goal– we're most of the way there with SQL 92 and plan to continue to expand our query support over time!
7.
by marzoeva 4y ago
Hi! CEO of ReadySet here. You can think of ReadySet as being a cross between a traditional read replica and a custom caching layer (e.g. one you might build on top of Redis). With read replicas, you still rerun queries from scratch every ti
8.
ReadySet Core: next-generation SQL caching, freely available(readyset.io)
106 points by marzoeva 4y ago|54 comments
9.
by marzoeva 4y ago
We're tackling this problem at ReadySet. TLDR, ReadySet connects to your existing relational database and caches SQL query results at the edge based on the actual traffic patterns in those regions. Our goal is to augment rather than re