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from aws_cdk import (
    aws_ec2 as ec2,
    aws_ecs as ecs,
    aws_iam as iam,
    aws_logs as logs,
    aws_elasticloadbalancingv2 as elbv2,
    core,
)

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apiVersion: druid.apache.org/v1alpha1
kind: Druid
metadata:
  name: cluster
spec:
  commonConfigMountPath: /opt/druid/conf/druid/cluster/_common
  rollingDeploy: true
  image: "apache/druid:0.19.0"
  startScript: /druid.sh
  log4j.config: |-

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package wrappers

import play.api._
import play.api.mvc._
import scala.concurrent._
import scala.concurrent.Future
import play.mvc.Http.Status
import ExecutionContext.Implicits.global
import play.libs.Akka
import akka.actor.{Actor, Props}

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import play.sbt.PlayRunHook
import sbt._
import java.net.InetSocketAddress

object Angular2 {
  def apply(log: Logger, base: File, target: File): PlayRunHook = {

    object Angular2Process extends PlayRunHook {

      private var watchProcess: Option[Process] = None

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package slicks.docs.dao

import scala.slick.driver.PostgresDriver.simple._
import scala.slick.driver._


trait Profile {
  val profile: JdbcProfile
}

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Introduction to Kafka

Kafka acts as a kind of write-ahead log (WAL) that records messages to a persistent store (disk) and allows subscribers to read and apply these changes to their own stores in a system appropriate time-frame.

Terminology:

• Producers send messages to brokers
• Consumers read messages from brokers
• Messages are sent to a topic