This document proposes a new scheme to avoid address reuse while retaining some of the convenience of address reuse, keeping recoverability purely from Bitcoin time chain and avoiding visible fingerprint. The scheme has negligible average overhead.
// Create a Kubernetes cluster in DigitalOcean | |
resource "digitalocean_kubernetes_cluster" "prueba" { | |
name = "prueba" | |
region = "lon1" | |
version = "1.11.7-do.3" | |
node_pool { | |
name = "prueba-pool" | |
size = "s-1vcpu-2gb" | |
node_count = 1 |
I tested the setup on Debian Stretch (naive installation) and Jessie (LinuxGSM installation). The setup should work on Debian 8 (Jessie), Debian 9 (Stretch) and Ubuntu (16.04). However, If you're running on Windows or other non-debian based Linux OS (e.g. CentOS, openSUSE), this guide doesn't apply to you.
I'm hosting FFA warm-up and HvH(soon) servers in San Francisco, welcome to join by:
IPv4: 159.89.154.137
Ipv6: 2604:a880:2:d0::20ad:2001
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
from __future__ import print_function | |
import json | |
import urllib | |
import boto3 | |
import uuid | |
import base64 | |
print("Loading function") |
docker ps | awk {' print $1 '} | tail -n+2 > tmp.txt; for line in $(cat tmp.txt); do docker kill $line; done; rm tmp.txt |
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