Asahi linux is essentially in a holding pattern with only support up to M2. Likely linux will never be supported above M2 and even M2 has a lot of rough edges. When my monitor sleeps on M2 linux it can never reawaken…
Take a look at the Stack class (an example of a free monad) and how it's used to compose clients: https://github.com/twitter/finagle/blob/master/finagle-core/...…
Fanout is soft realtime, but yeah, we don't block lady gagas tweets to 40 million people until they're all delivered. Note that she counts as 1 in the tps calculation when she tweets. Btw, we're hiring if you'd like to…
34k tweets per second * follower fanout. Trading platforms don't deliver curated individual timelines of single trades you are interested in.
One of the projects I've been working on is doing more aggregate analysis of zipkin data: https://github.com/twitter/zipkin/pull/276 We're using this at Twitter to better understand usage patterns for services upstream…
That's what we do, but it's built into the RPC library we use, finagle: https://github.com/twitter/finagle/blob/master/finagle-core/... BTW, to the readers at home, note how almost all our core infrastructure is…
Merged thanks
Twitter util to the rescue! https://github.com/twitter/util/blob/master/util-core/src/ma...
Asahi linux is essentially in a holding pattern with only support up to M2. Likely linux will never be supported above M2 and even M2 has a lot of rough edges. When my monitor sleeps on M2 linux it can never reawaken…
Take a look at the Stack class (an example of a free monad) and how it's used to compose clients: https://github.com/twitter/finagle/blob/master/finagle-core/...…
Fanout is soft realtime, but yeah, we don't block lady gagas tweets to 40 million people until they're all delivered. Note that she counts as 1 in the tps calculation when she tweets. Btw, we're hiring if you'd like to…
34k tweets per second * follower fanout. Trading platforms don't deliver curated individual timelines of single trades you are interested in.
One of the projects I've been working on is doing more aggregate analysis of zipkin data: https://github.com/twitter/zipkin/pull/276 We're using this at Twitter to better understand usage patterns for services upstream…
That's what we do, but it's built into the RPC library we use, finagle: https://github.com/twitter/finagle/blob/master/finagle-core/... BTW, to the readers at home, note how almost all our core infrastructure is…
Merged thanks
Twitter util to the rescue! https://github.com/twitter/util/blob/master/util-core/src/ma...