25/5/2020
Imagine a future where a user Alice has bitcoins and wants to send them with maximal privacy, so she creates a special kind of transaction. For anyone looking at the blockchain her transaction appears completely normal with her coins seemingly going from address A to address B. But in reality her coins end up in address Z which is entirely unconnected to either A or B.
Now imagine another user, Carol, who isn't too bothered by privacy and sends her bitcoin using a regular wallet which exists today. But because Carol's transaction looks exactly the same as Alice's, anybody analyzing the blockchain must now deal with the possibility that Carol's transaction actually sent her coins to a totally unconnected address. So Carol's privacy is improved even though she didn't change her behaviour, and perhaps had never even heard of this software.
enode://8889269a8059832b6f25f3ef7f04e0aff25f0776d92e542a60f96b42f7bfb2616fcb98c842202ebba171c02bf429e3813192ab04c0ad741b22860184994ea748@3.126.167.52:30303 |
Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
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default['sshd']['sshd_config']['AuthenticationMethods'] = 'publickey,keyboard-interactive:pam' | |
default['sshd']['sshd_config']['ChallengeResponseAuthentication'] = 'yes' | |
default['sshd']['sshd_config']['PasswordAuthentication'] = 'no' |
Moved to Shopify/graphql-design-tutorial
// ctxReader adds timeouts and cancellation to a reader. | |
type ctxReader struct { | |
r io.Reader | |
ctx context.Context // set to change Context | |
// internal state | |
result chan readResult | |
pos, n int | |
err error | |
buf [1024]byte |
I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.
This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea