nathanleclaire

#!/usr/bin/env python

"""
Example Usage:
$ ansible -i machine.py machinename -m ping
"""


import argparse
import subprocess

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Span span = tracer.scopeManager().activeSpan();
span.setAttribute("metric_name", "metric_value");

nathanleclaire

#!/bin/bash

set -e

# Create this many swarm workers
export N_WORKERS=1

# Coloring info
export bold=$(tput bold)
export normal=$(tput sgr0)

nathanleclaire

FROM debian:stretch-slim

RUN mkdir -p /srv/hny && \
    apt-get update && \
    apt-get install -y ca-certificates openssl bzip2
WORKDIR /srv/hny

# Need to build with tarball (provided by HNY team) adjacent in docker build directory
COPY st.tbz st.tbz
RUN tar --strip-components 1 -xjf st.tbz && \

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#Import Requirements-----------------------------------------------------------

from arch import arch_model
import datetime as dt
from datetime import datetime, timedelta
import pandas as pd
from yahoo_fin import stock_info as si

#Set Date Range----------------------------------------------------------------
start = dt.datetime(2000,1,1)

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var http = require('http');
var beeline = require('honeycomb-beeline')({
  writeKey: "key",
  dataset: "nathanleclaire.nodejsbeelinetest",
  serviceName: "frameworks-are-bloated-http-directly-rules"
});

//create a server object:
http.createServer(function (req, res) {
  let trace = beeline.startTrace();

nathanleclaire

package com.mycompany.config.filters;

import io.honeycomb.libhoney.ResponseObserver;
import io.honeycomb.libhoney.responses.ClientRejected;
import io.honeycomb.libhoney.responses.ServerAccepted;
import io.honeycomb.libhoney.responses.ServerRejected;
import io.honeycomb.libhoney.responses.Unknown;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.http.HttpStatus;

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package org.springframework.samples.petclinic.system;

import io.honeycomb.beeline.DefaultBeeline;
import io.honeycomb.beeline.spring.beans.SpringServletFilter;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import javax.swing.*;
import java.util.Arrays;

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prom metrics -

class YourClass {
    static final Counter requests = Counter.build()
     .name("http_requests_total")
     .help("Total requests.")
     .labelNames(
         Arrays.asList(
 "http_status",

nathanleclaire

import java.io.Serializable;

import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.ml.evaluation.RegressionEvaluator;
import org.apache.spark.ml.recommendation.ALS;
import org.apache.spark.ml.recommendation.ALSModel;

public static class Rating implements Serializable {
  private int userId;
  private int productId;