FROM eclipse-temurin:17-jre-jammy
WORKDIR /app
COPY target/cloudrun-java-1.jar cloudrun-java-1.jar


# Add the Datadog tracer
ADD 'https://dtdg.co/latest-java-tracer' dd-java-agent.jar


EXPOSE 8080


# Start the Datadog tracer with the javaagent argument
ENTRYPOINT [ "java", "-javaagent:dd-java-agent.jar", "-jar", "cloudrun-java-1.jar" ]

FROM mcr.microsoft.com/dotnet/aspnet:8.0-jammy
WORKDIR /app
COPY ./bin/Release/net8.0/publish /app

ADD https://github.com/DataDog/dd-trace-dotnet/releases/download/v2.56.0/datadog-dotnet-apm_2.56.0_amd64.deb /opt/datadog/datadog-dotnet-apm_2.56.0_amd64.deb
RUN dpkg -i /opt/datadog/datadog-dotnet-apm_2.56.0_amd64.deb
RUN mkdir -p /shared-volume/logs/

ENV CORECLR_ENABLE_PROFILING=1
ENV CORECLR_PROFILER={846F5F1C-F9AE-4B07-969E-05C26BC060D8}
ENV CORECLR_PROFILER_PATH=/opt/datadog/Datadog.Trace.ClrProfiler.Native.so
ENV DD_DOTNET_TRACER_HOME=/opt/datadog/

ENV DD_TRACE_DEBUG=true

ENTRYPOINT ["dotnet", "dotnet.dll"]

provider "google" {
  project = "<PROJECT_ID>"
  region  = "<LOCATION>"  # example: us-central1
}

resource "google_cloud_run_service" "terraform_with_sidecar" {
  name     = "<SERVICE_NAME>"
  location = "<LOCATION>"

  template {
    metadata {
      annotations = {
        # Correctly formatted container-dependencies annotation
        "run.googleapis.com/container-dependencies" = jsonencode({main-app = ["sidecar-container"]})
      }
    }
    spec {
      # Define shared volume
      volumes {
        name = "shared-volume"
        empty_dir {
          medium = "Memory"
        }
      }

      # Main application container
      containers {
        name  = "main-app"
        image = "<CONTAINER_IMAGE>"

        # Expose a port for the main container
        ports {
          container_port = 8080
        }
        # Mount the shared volume
        volume_mounts {
          name      = "shared-volume"
          mount_path = "/shared-volume"
        }

        # Startup Probe for TCP Health Check
        startup_probe {
          tcp_socket {
            port = 8080
          }
          initial_delay_seconds = 0  # Delay before the probe starts
          period_seconds        = 10   # Time between probes
          failure_threshold     = 3   # Number of failures before marking as unhealthy
          timeout_seconds       = 1  # Number of failures before marking as unhealthy
        }

        # Environment variables for the main container
        env {
          name  = "DD_SITE"
          value = "<DATADOG_SITE>"
        }
        env {
          name  = "DD_SERVERLESS_LOG_PATH"
          value = "shared-volume/logs/*.log"
        }
        env {
          name  = "DD_ENV"
          value = "serverless"
        }
        env {
          name  = "DD_API_KEY"
          value = "<API_KEY>"
        }
        env {
          name  = "DD_SERVICE"
          value = "<SERVICE_NAME>"
        }
        env {
          name  = "DD_VERSION"
          value = "<VERSION>"
        }
        env {
          name  = "DD_LOG_LEVEL"
          value = "debug"
        }
        env {
          name  = "DD_LOGS_INJECTION"
          value = "true"
        }
        env {
          name  = "FUNCTION_TARGET"
          value = "<FUNCTION_NAME>" # only needed for cloud run functions
        }

        # Resource limits for the main container
        resources {
          limits = {
            memory = "512Mi"
            cpu    = "1"
          }
        }
      }

      # Sidecar container
      containers {
        name  = "sidecar-container"
        image = "gcr.io/datadoghq/serverless-init:latest"

        # Mount the shared volume
        volume_mounts {
          name      = "shared-volume"
          mount_path = "/shared-volume"
        }

        # Startup Probe for TCP Health Check
        startup_probe {
          tcp_socket {
            port = 12345
          }
          initial_delay_seconds = 0  # Delay before the probe starts
          period_seconds        = 10   # Time between probes
          failure_threshold     = 3   # Number of failures before marking as unhealthy
          timeout_seconds       = 1
        }

        # Environment variables for the main container
        env {
          name  = "DD_SITE"
          value = "<DATADOG_SITE>"
        }
        env {
          name  = "DD_SERVERLESS_LOG_PATH"
          value = "shared-volume/logs/*.log"
        }
        env {
          name  = "DD_ENV"
          value = "serverless"
        }
        env {
          name  = "DD_API_KEY"
          value = "<API_KEY>"
        }
        env {
          name  = "DD_SERVICE"
          value = "<SERVICE_NAME>"
        }
        env {
          name  = "DD_VERSION"
          value = "<VERSION>"
        }
        env {
          name  = "DD_LOG_LEVEL"
          value = "debug"
        }
        env {
          name  = "DD_LOGS_INJECTION"
          value = "true"
        }
        env {
          name  = "FUNCTION_TARGET"
          value = "<FUNCTION_NAME>" # only needed for cloud run functions
        }
        env {
          name  = "DD_HEALTH_PORT"
          value = "12345"
        }

        # Resource limits for the sidecar
        resources {
          limits = {
            memory = "512Mi"
            cpu    = "1"
          }
        }
      }
    }
  }

  # Define traffic splitting
  traffic {
    percent         = 100
    latest_revision = true
  }
}

# IAM Member to allow public access (optional, adjust as needed)
resource "google_cloud_run_service_iam_member" "invoker" {
  service  = google_cloud_run_service.terraform_with_sidecar.name
  location = google_cloud_run_service.terraform_with_sidecar.location
  role     = "roles/run.invoker"
  member   = "allUsers"
}

const tracer = require('dd-trace').init({
 logInjection: true,
});
const express = require("express");
const app = express();
const { createLogger, format, transports } = require('winston');

const logger = createLogger({
 level: 'info',
 exitOnError: false,
 format: format.json(),
 transports: [new transports.File({ filename: `/shared-volume/logs/app.log`}),
  ],
});

app.get("/", (_, res) => {
 logger.info("Welcome!");
 res.sendStatus(200);
});

app.get("/hello", (_, res) => {
 logger.info("Hello!");
 metricPrefix = "nodejs-cloudrun";
 // Send three unique metrics, just so we're testing more than one single metric
 metricsToSend = ["sample_metric_1", "sample_metric_2", "sample_metric_3"];
 metricsToSend.forEach((metric) => {
   for (let i = 0; i < 20; i++) {
     tracer.dogstatsd.distribution(`${metricPrefix}.${metric}`, 1);
   }
 });
 res.status(200).json({ msg: "Sending metrics to Datadog" });
});

const port = process.env.PORT || 8080;
app.listen(port);

import ddtrace
from flask import Flask, render_template, request
import logging
from datadog import initialize, statsd

ddtrace.patch(logging=True)
app = Flask(__name__)
options = {
   'statsd_host':'127.0.0.1',
   'statsd_port':8125
}
FORMAT = ('%(asctime)s %(levelname)s [%(name)s] [%(filename)s:%(lineno)d] '
         '[dd.service=%(dd.service)s dd.env=%(dd.env)s dd.version=%(dd.version)s dd.trace_id=%(dd.trace_id)s dd.span_id=%(dd.span_id)s] '
         '- %(message)s')
logging.basicConfig(level=logging.DEBUG, filename='app.log', format=FORMAT)
logger = logging.getLogger(__name__)
logger.level = logging.INFO

ddlogs = []

@ddtrace.tracer.wrap(service="dd_gcp_log_forwader")
@app.route('/', methods=["GET"])
def index():
   log = request.args.get("log")
   if log != None:
       with tracer.trace('sending_logs') as span:
           statsd.increment('dd.gcp.logs.sent')
           span.set_tag('logs', 'nina')
           logger.info(log)
           ddlogs.append(log)
   return render_template("home.html", logs=ddlogs)

if __name__ == '__main__':
   tracer.configure(port=8126)
   initialize(**options)
   app.run(debug=True)

<!DOCTYPE html>
<html lang="en">
<head>
   <meta charset="UTF-8">
   <meta http-equiv="X-UA-Compatible" content="IE=edge">
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   <title>Datadog Test</title>
</head>
<body>
   <h1>Welcome to Datadog!💜</h1>
   <form action="">
       <input type="text" name="log" placeholder="Enter Log">
       <button>Add Log</button>
   </form>
   <h3>Logs Sent to Datadog:</h3>
   <ul>
   {% for log in logs%}
       {% if log %}
       <li>{{ log }}</li>
       {% endif %}
   {% endfor %}
   </ul>
</body>
</html>

package com.example.springboot;

import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

import com.timgroup.statsd.NonBlockingStatsDClientBuilder;
import com.timgroup.statsd.StatsDClient;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;

@RestController
public class HelloController {
   Private static final StatsDClient Statsd = new NonBlockingStatsDClientBuilder().hostname("localhost").build();
   private static final Log logger = LogFactory.getLog(HelloController.class);
   @GetMapping("/")
   public String index() {
       Statsd.incrementCounter("page.views");
       logger.info("Hello Cloud Run!");
       return "💜 Hello Cloud Run! 💜";
   }
}

package main


import (
   "fmt"
   "log"
   "net/http"
   "os"
   "path/filepath"


   "github.com/DataDog/datadog-go/v5/statsd"
   "gopkg.in/DataDog/dd-trace-go.v1/ddtrace"
   "gopkg.in/DataDog/dd-trace-go.v1/ddtrace/tracer"
)


const logDir = "/shared-volume/logs"

var logFile *os.File
var logCounter int
var dogstatsdClient *statsd.Client

func handler(w http.ResponseWriter, r *http.Request) {
   log.Println("Yay!! Main container works")
   span := tracer.StartSpan("maincontainer", tracer.ResourceName("/handler"))
   defer span.Finish()
   logCounter++
   writeLogsToFile(fmt.Sprintf("received request %d", logCounter), span.Context())
   dogstatsdClient.Incr("request.count", []string{"test-tag"}, 1)
}

func writeLogsToFile(log_msg string, context ddtrace.SpanContext) {
   span := tracer.StartSpan(
       "writeLogToFile",
       tracer.ResourceName("/writeLogsToFile"),
       tracer.ChildOf(context))
   defer span.Finish()
   _, err := logFile.WriteString(log_msg + "\n")
   if err != nil {
       log.Println("Error writing to log file:", err)
   }
}

func main() {
   log.Print("Main container started...")

   err := os.MkdirAll(logDir, 0755)
   if err != nil {
       panic(err)
   }
   logFilePath := filepath.Join(logDir, "maincontainer.log")
   log.Println("Saving logs in ", logFilePath)
   logFileLocal, err := os.OpenFile(logFilePath, os.O_WRONLY|os.O_APPEND|os.O_CREATE, 0644)
   if err != nil {
       panic(err)
   }
   defer logFileLocal.Close()

   logFile = logFileLocal

   dogstatsdClient, err = statsd.New("localhost:8125")
   if err != nil {
       panic(err)
   }
   defer dogstatsdClient.Close()

   tracer.Start()
   defer tracer.Stop()

   http.HandleFunc("/", handler)
   log.Fatal(http.ListenAndServe(":8080", nil))
}

using Microsoft.AspNetCore.Mvc;
using Microsoft.AspNetCore.Mvc.RazorPages;
using Serilog;
using Serilog.Formatting.Json;
using Serilog.Formatting.Compact;
using Serilog.Sinks.File;
using StatsdClient;


namespace dotnet.Pages;


public class IndexModel : PageModel
{
   private readonly static DogStatsdService _dsd;
   static IndexModel()
   {
       var dogstatsdConfig = new StatsdConfig
       {
           StatsdServerName = "127.0.0.1",
           StatsdPort = 8125,
       };


       _dsd = new DogStatsdService();
       _dsd.Configure(dogstatsdConfig);


       Log.Logger = new LoggerConfiguration()
           .WriteTo.File(new RenderedCompactJsonFormatter(), "/shared-volume/logs/app.log")
           .CreateLogger();
   }
   public void OnGet()
   {
       _dsd.Increment("page.views");
       Log.Information("Hello Cloud Run!");
   }
}

<?php


require __DIR__ . '/vendor/autoload.php';


use DataDog\DogStatsd;
use Monolog\Logger;
use Monolog\Handler\StreamHandler;
use Monolog\Formatter\JsonFormatter;


$statsd = new DogStatsd(
   array('host' => '127.0.0.1',
         'port' => 8125,
    )
 );


$log = new logger('datadog');
$formatter = new JsonFormatter();


$stream = new StreamHandler('/shared-volume/logs/app.log', Logger::DEBUG);
$stream->setFormatter($formatter);


$log->pushHandler($stream);


$log->info("Hello Datadog!");
echo '💜 Hello Datadog! 💜';


$log->info("sending a metric");
$statsd->increment('page.views', 1, array('environment'=>'dev'));


?>