Graphite does two things:
- Store numeric time-series data
- Render graphs of this data on demand
What Graphite does not do is collect data for you, however there are some tools out there that know
#include <stdio.h> | |
#include <stdlib.h> | |
#include <string.h> | |
int addi(int a, int b) { | |
return a + b; | |
} | |
char *adds(char *a, char *b) { | |
char *res = malloc(strlen(a) + strlen(b) + 1); |
Graphite does two things:
What Graphite does not do is collect data for you, however there are some tools out there that know
def bytesto(bytes, to, bsize=1024): | |
"""convert bytes to megabytes, etc. | |
sample code: | |
print('mb= ' + str(bytesto(314575262000000, 'm'))) | |
sample output: | |
mb= 300002347.946 | |
""" | |
a = {'k' : 1, 'm': 2, 'g' : 3, 't' : 4, 'p' : 5, 'e' : 6 } |
#include <iostream> | |
#include <map> | |
using namespace std; | |
class BaseClass{ | |
public: | |
virtual int funk() { | |
return 0; | |
} |
Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
#!/bin/bash | |
# node.js using PPA (for statsd) | |
sudo apt-get install python-software-properties | |
sudo apt-add-repository ppa:chris-lea/node.js | |
sudo apt-get update | |
sudo apt-get install nodejs npm | |
# Install git to get statsd | |
sudo apt-get install git |
As configured in my dotfiles.
start new:
tmux
start new with session name:
/** | |
* | |
*/ | |
package com.qwata.concurrency; | |
import java.util.concurrent.ExecutorService; | |
import java.util.concurrent.Executors; | |
import java.util.concurrent.TimeUnit; | |
/** |