Secondly, despite its low cardinality, February was packed with Redis news (see cherry pickings below). It was even more interesting than usual because of Salvatore’s visit to our Tel Aviv offices: the perfect excuse to party, but also a chance for the entire team to sit together and do some serious thinking. The throughput of wetware, much like that of hardware, benefits greatly from the reduced latency that results from colocation 🙂
Last month, Redis geeks and geekettes got the perfect Valentine’s gift: a day packed with sessions about everyone’s favorite in-memory database. The event turned out to be a huge success with over 200 attendees showing up and staying all the way until SHUTDOWN. You can find photos from the day in the Twitter moment and in this folder.
One of the nicest things about Redis is that you find it practically everywhere (not unlike Chuck Norris). Another things you find everywhere are the internets, hence the IoT. Marrying the two makes a lot of sense (even if I don’t), so now (as in 4.0) not only can you run Redis on some of these critters, you can actually wring out impressive performance. A little further down along the road, “this will be even more interesting when the stream data structure will be available in Redis 4.2.”
As if to complement the above (but I know for a fact that this has been in the making before), Kyle @stockholmux implemented a Redis client on the ESP8266 Microcontroller for the sole and sacred purpose of keeping his wine properly chilled. Cool 🙂
The development of this invaluable utility has been all but abandoned until recently. While plans are to have this sort of functionality wrapped into Redis proper in all eventuality, we can until then resort to the updated package that includes:
Any self-respecting nerd knows there’s nothing is more exciting than a peek under the hood. This golden nugget from James Fisher @MrJamesFisher of Pusher @pusher (congrats for the inaugural post, looking forward to its next parts!) is sure to scratch that itch, with a delightfully detailed deep dive into Redis’ Pub/Sub internals.
Carlos Justiniano @cjus teaches by example, showing microservices are put together to create a game with distributed messaging. To do that he’s using Hydra, a NodeJS light-weight library for building distributed computing applications, and the Super Glue of Microservices: Redis. Via RisingStack @RisingStack.
The need to scale is a mixed blessing – on the one hand you’re doing so good that you’re growing, but on the other hand supporting that growth means more work. The database tier is traditionally an especially hairy scaling challenge, and one way to tackle it is to think outside the box – instead of making your database faster/bigger/better, offload some of the work to a nimbler solution. Which is exactly what Derrick Reimer @derrickreimer of Drip @getdrip did by live caching his Postgres database:
The sorted and unsorted set data types are the killer features that made us choose Redis
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