jboner

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

tegansnyder

method 1

sudo /usr/local/McAfee/AntiMalware/VSControl stopoas

alternatively

sudo defaults write /Library/Preferences/com.mcafee.ssm.antimalware.plist OAS_Enable -bool False
sudo /usr/local/McAfee/AntiMalware/VSControl stop
sudo /usr/local/McAfee/AntiMalware/VSControl reload

bernhardschaefer

#!/bin/bash

# Minimum TODOs on a per job basis:
# 1. define name, application jar path, main class, queue and log4j-yarn.properties path
# 2. remove properties not applicable to your Spark version (Spark 1.x vs. Spark 2.x)
# 3. tweak num_executors, executor_memory (+ overhead), and backpressure settings

# the two most important settings:
num_executors=6
executor_memory=3g

pahud

specify the region

export AWS_DEFAULT_REGION=ap-northeast-1
aws logs describe-log-groups --query 'logGroups[*].logGroupName' --output table | \
awk '{print $2}' | grep -v ^$ | while read x; do  echo "deleting $x" ; aws logs delete-log-group --log-group-name $x; done

only delete loggroup name starting with /aws/lambda

shortjared

a4b.amazonaws.com
access-analyzer.amazonaws.com
account.amazonaws.com
acm-pca.amazonaws.com
acm.amazonaws.com
airflow-env.amazonaws.com
airflow.amazonaws.com
alexa-appkit.amazon.com
alexa-connectedhome.amazon.com
amazonmq.amazonaws.com

bgdnlp

#!/usr/bin/env python3
from aws_cdk import (
    core as cdk_core,
    aws_s3 as cdk_s3,
    aws_s3_deployment as cdk_s3_deploy
)


class FrontendStack(cdk_core.Stack):
    def __init__(self, app, id, **kwargs):