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At IP Street, most of our technology stack is open-source. Something happened last week that threw our components’ different design philosophies into stark relief.

We use Solr (with Zookeeper) for many of our search and pivot tasks, and Redis as a Swiss Army Knife. They do different things and have different consistency requirements. You can easily critique any juxtaposition as comparing apples to oranges. I think it’s instructive, because Solr and Redis are both high-performance, production-quality, and powerful tools.

Working on them within the same day, I experienced exact opposites in configuration philosophy!

Let’s meet contestant number 1

Solr is a powerful search engine. Their Cloud feature lets you shard and scale your index, and Solr will do the internal shard and node routing. Or you can direct your queries to the appropriate node for a small performance win. Being short-handed understaffed frugal with our peons worker bees people, we let Solr do the routing. “Here’s a document, store it.” “I want this document.” “Here’s a pivot within a search, do it and assemble the results for me, pronto.” Etc.

Solr nodes are peers, though internally there are leaders and replicas. Solr uses Zookeeper, an Apache technology for distributed persistent configuration. Nodes do the right thing when other nodes come and go.
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