skyrocknroll

# a 5 minute disk thrashing benchmark
# generates equal amounts of random read and write IO on every drive
# will generate metrics for each drive
[global]
ioengine=libaio
direct=1
unified_rw_reporting=1
rw=randrw
time_based=1
runtime=300s

skyrocknroll

#! /bin/bash
# Make sure you grab the latest version
curl -OL https://github.com/google/protobuf/releases/download/v3.6.1/protoc-3.6.1-linux-x86_64.zip
https://github.com/google/protobuf/releases/download/v3.6.1/protoc-3.6.1-linux-x86_64.zip
# Unzip
unzip protoc-3.6.1-linux-x86_64.zip -d protoc3

# Move protoc to /usr/local/bin/
sudo mv protoc3/bin/* /usr/local/bin/

skyrocknroll

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

skyrocknroll

package main

//#include<stdio.h>
//void inC() {
//    printf("I am in C code now!\n");
//}
import "C"
import "fmt"

func main() {

skyrocknroll

High Performance Redis

In response to this brief blog entry, @antirez tweeted for some documentation on high-performance techniques for Redis. What I present here are general high-performance computing (HPC) techniques. The examples are oriented to Redis. but they work well for any program designed to be single- or worker-threaded and asynchronous (e.g. uses epoll).

The motivation for using these techniques is to maximize performance of our system and services. By isolating work, controlling memory, and other tuning, you can achieve significant reduction in latency and increase in throughput.

My perspective comes from the microcosm of my own bare-metal (vs VM), on-premises deployment. It might not be suitable for all scenarios, especially cloud deployments, as I have little experience with HPC there. After some discussion, maybe this can be adapted as [redis.io documentation](https://redis.io/do

skyrocknroll

###############################################################################
# Helpful Docker commands and code snippets
###############################################################################

### CONTAINERS ###
docker stop $(docker ps -a -q) #stop ALL containers
docker rm -f $(docker ps -a -q) # remove ALL containers
docker rm -f $(sudo docker ps --before="container_id_here" -q) # can also filter

# exec into container

skyrocknroll

### KERNEL TUNING ###

# Increase size of file handles and inode cache
fs.file-max = 2097152

# Do less swapping
vm.swappiness = 10
vm.dirty_ratio = 60
vm.dirty_background_ratio = 2

skyrocknroll

node {
    // https://registry.hub.docker.com/_/maven/
    def maven32 = docker.image('maven:3.2-jdk-7-onbuild');
    
    stage 'Mirror'
    // First make sure the slave has this image.
    // (If you could set your registry below to mirror Docker Hub,
    // this would be unnecessary as maven32.inside would pull the image.)
    maven32.pull()
    // We are pushing to a private secure docker registry in this demo.

skyrocknroll

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

skyrocknroll

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

• They are the people who get things done. Effective Engineers produce results.

Adopt the Right Mindsets