Using Redis at Scale at Twitter - by Rashmi Ramesh of Twitter - RedisConf17 -

Timelines, DMs, Twitter Analytics are just some of the major services at Twitter that use Redis. A majority of our analytics services use lambda architecture and they require a highly available cache to store and read stream compute data, while their corresponding batch processing jobs catch up. Our caching solution, built on top of Redis, offers replication for such services requiring a highly available, scalable cache, serving millions of requests per second. In this session, we’ll cover the architecture, constraints and some problems of distributed caching we are trying to tackle today. We’ll also touch upon data partitioning, data movement, failure domain considerations and how we leverage Redis features to achieve the same.

[mmeduri]

When there is a presentation running on the screen, why is this video showing the speaker? Should we observe the slides through her eyes?

[msinghkohli]

Seems interesting talk. But not able to draw value as slides aren't visible for longer period.

[titanorxxx]

where is the function to put 10 thumbs up?

[gezhi]

The Q&As are very good. Wish there were more questions asked lol

[arnaldofernandez]

Who edited this? We don't need her face, we need the slides! 🤬

[arnoldwolfstein]

Sorry but we don't need she reading the docs. If you don't share <real> tangible examples at confs dont bother to waste your time.

[YT-yt-yt-]

This doesn’t really seem like an engineering talk. More looked like sales pitch.

[jugaljoshi]

Not happy with talk as, slights are not visible for long time. No one can understands this :(. But speaker explained, only complaining about video.

[hksubs]

grammar thing i noticed: "At it's core" -> "At its core"