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const {
  SimpleTransform,
  PolicyError,
} = require("@vectorizedio/wasm-api");

const { Client } = require('@elastic/elasticsearch')

const client = new Client({node: 'http://localhost:9200'})

const transform = new SimpleTransform();

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# Instrument binaries, pgo data to /data/pgo, serial make is important to not confuse the pgo generator
env CXXFLAGS='-march=native -fprofile-dir=/data/pgo -fprofile-generate=/data/pgo' cmake .. -DCMAKE_BUILD_TYPE=Release                   
make -j 1

# Run instrumented program, generate and write pgo data
./runIt

# Use profile data and feed into gcc, correct for threading counter noise, serial make is important to not confuse the pgo generator
env CXXFLAGS='-march=native -fprofile-dir=/data/pgo -fprofile-use=/data/pgo -fprofile-correction' cmake .. -DCMAKE_BUILD_TYPE=Release                   
make -j 1

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Producer

Setup
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3

Single thread, no replication

bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196

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List of Isolators

Side note: all available resource metrics are documented here:

https://github.com/apache/mesos/blob/037a346a205ad7bdba99d771855f8caeea835d4a/include/mesos/mesos.proto#L1015

Filesystem Isolators

These are used for isolating files on disk from both the host system as well as other running tasks.

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#include <iostream>
#include <string>
#include <re2/re2.h>
#include <vector>

using namespace std;

void test_fullmatch(){
  string s,t;
  string str("あぶらかたぶら");

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# Build the GRPC Java server which is used for interop testing.
# Interface defined here 
# https://github.com/grpc/grpc-java/blob/master/interop-testing/src/main/proto/io/grpc/testing/integration/test.proto 
./gradlew :grpc-interop-testing:installDist

# Run it with TLS turned on so ALPN is enabled. Uses a dummy cert
./interop-testing/build/install/grpc-interop-testing/bin/test-server --port=8080 --use_tls=true

# Run the awesome nghttp2 as a proxy in front of it. 
# See https://nghttp2.org/documentation/package_README.html#building-from-git

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References from my talk 'Without Resilience, Nothing Else Matters'

• Drift into Failure
• How Complex Systems Fail
• Antifragile: Things That Gain from Disorder
• Leverage Points: Places to Intervene in a System
• Going Solid: A Model of System Dynamics and Consequences for Patient Safety
• Resilience in Complex Adaptive Systems: Operating at the Edge of Failure
• Puppies! Now that I’ve got your attention, Complexity Theory
• [Towards Resilient Architectures: Biology

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---
# ^^^ YAML documents must begin with the document separator "---"
#
#### Example docblock, I like to put a descriptive comment at the top of my 
#### playbooks.
#
# Overview: Playbook to bootstrap a new host for configuration management.
# Applies to: production
# Description: 
#   Ensures that a host is configured for management with Ansible.

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#!/bin/bash
set -o errexit
 
# Author: David Underhill
# Script to permanently delete files/folders from your git repository.  To use 
# it, cd to your repository's root and then run the script with a list of paths
# you want to delete, e.g., git-delete-history path1 path2
 
if [ $# -eq 0 ]; then
    exit 0

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1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep