npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

super-journey

v0.0.1

Published

Cool stuff

Downloads

2

Readme

Server WCF Timing Data in AWS Elasticsearch

js-standard-style npm version npm downloads

Project Goals

  • Use open source tools and resources to visualize P1 service timing data
  • Get better insight into actual customer system load patterns, to help optimize performance and stability

Open Source Tools and Technologies

  • Latest AWS Elasticsearch and Kibana service version 5.1
  • NodeJS and various NPM modules (7-Zip, D3, and elastic-import)
  • Powershell
  • Visual Studio Code
  • Git, GitHub https://github.com/novac182/super-journey, and npmjs.com
npm install super-journey

How we extracted the data from Customer Support share

  • Powershell script using 7-Zip command line options
  • Extracted 10 customers' WCF CADS timing logs, for 10 days
  • (Not loading data into S3)
7za.exe e "\\P1Customer_logs\XYZ\1-ServerLogs\2017\04\*.zip" -r *CADS_ServerWCFCallSummary.csv -p****** -aou -o*

How we processed the data

  • Wrote NodeJS program read the CSV files
  • Used D3 module to summarize the statistics by hour
  • Output the result into CSV file
  node parseWcf.js <fileName> <outFileName> [mode] [serverTag] [customerTag] [processTag]
  // Rollup WCF timing statistics by hour 
  d3.nest()
    .key(function(d) { return d.DateHour + ',' + d.Service + ',' + d.Operation; })
    .rollup(function(v) { 
      return {
        count: v.length,
        sum: Math.round(d3.sum(v, function(d) { return d.Timing; })),
        avg: Math.round(d3.mean(v, function(d) { return d.Timing; })),
        max: Math.round(d3.max(v, function(d) { return d.Timing; }))
      } 
    })
    .entries(data);

How we loaded the data into AWS ES

  • Used elastic-import Node module as ES REST API client
  • Loaded each CSV summary file into a new ES index
  • (Not using Logstash)
elastic-import.cmd input.csv abc.us-east-1.es.amazonaws.com servertimings wcfcallsummary --csv -h -p

How we visualize the data

  • Used Kibana to build various charts and dashboards
  • Find patterns and outliers in the data

Impacts

  • Can help devlopers identify services which can be optimized
  • Gives insight into customer usage behavior
  • Next steps - Add other types of services (CS, GIS, etc.)