Automating Hadoop Cluster Auto-Scaling with Monitoring Flow

This guide explains how to automate the auto-scaling of a Hadoop cluster using Kakao Cloud's Monitoring Flow and Hadoop Eco services.

Basic Information

• Estimated Time: 30 minutes
• User Environment:
  • Recommended OS: Ubuntu
  • Region: kr-central-2
• Prerequisites:
  • Access Key

Scenario Overview

This scenario outlines the process of automating Hadoop cluster auto-scaling using the Monitoring Flow service. The main steps are as follows:

• Create a Hadoop cluster using Kakao Cloud Hadoop Eco
• Create a scenario in Monitoring Flow to generate Scale-in/Scale-out schedules for the Hadoop cluster
• Receive alerts through Alert Center based on monitoring results

Prerequisites

Network Environment Setup

Set up the network environment for communication between the Monitoring Flow service and the Hadoop cluster. Follow the steps below to create a VPC and subnets.

VPC and Subnet Setup: tutorial

1. Navigate to Kakao Cloud Console > Beyond Networking Service > VPC.

2. Click the [+ Create VPC] button and configure the settings as follows:

   Category	Item	Setting/Input
   VPC Information	VPC Name	tutorial
   	VPC IP CIDR Block	10.0.0.0/16
   Availability Zone	Number of Availability Zones	1
   	First AZ	kr-central-2-a
   Subnet Settings	Number of Public Subnets per Availability Zone	1
   	kr-central-2-a	Public Subnet IPv4 CIDR Block: 10.0.0.0/20

3. After reviewing the topology generated at the bottom, click [Create] if everything looks good.

   • The subnet status will change from Pending Create > Pending Update > Active. Once it reaches Active, proceed to the next step.

Step-by-Step Process

Here is a step-by-step guide to adjusting the Hadoop cluster size using Monitoring Flow:

Step 1. Create Hadoop Eco Cluster

Create a Hadoop Eco cluster to set up the environment for Monitoring Flow to monitor.

1. Navigate to Kakao Cloud Console > Analytics > Hadoop Eco > Cluster.

2. If no cluster exists, refer to the Cluster Creation Guide to create a cluster.

   • In the VPC Settings, select the VPC and subnet for the flow connection.
   • In the Security Group Configuration, choose to [create a new security group]. The inbound and outbound policies for Hadoop Eco will be automatically set, and the created security group can be verified under VPC > Security.

3. Verify the created cluster's information:

   • The cluster's status should change to Running once it is successfully created.
   • Take note of the Cluster ID, which will be needed for Monitoring Flow step configuration.

   Cluster Details

Step 2. Create Scenario

Create a scenario in Monitoring Flow to monitor the Hadoop cluster and set up an execution schedule.

1. Navigate to Kakao Cloud Console > Management > Monitoring Flow > Scenarios.

2. Click the [Create Scenario] button to open the creation screen.

3. Set up the schedule without selecting a flow connection. In this example, no inter-subnet communication is needed, so the scenario can be created without a flow connection.

   Scenario Creation

Step 3. Add Scenario Step: API

Scenarios consist of multiple steps that automate specific tasks. In this step, configure the auto-scaling scenario to perform Scale-in/Scale-out actions based on the cluster's status. Use the example below to configure each item.

1. Navigate to Kakao Cloud Console > Management > Monitoring Flow > Scenarios.

2. Click on the name of the scaling scenario you want to automate to go to its details page.

3. On the Details tab, click the [Add Scenario Step] button at the top right.

4. Use the table below to configure the fields. Enter all three examples and save the Headers values.

   Field	Example 1	Example 2	Example 3	Description
   Type	API			Select API
   Step Name	API-1			Set the name for the step
   Expected Code	200			The server should return a 200 status code to confirm availability
   Method	POST			Select the API request method
   URL	Example Check - /scale-out or /scale-in			Enter the API URL, e.g., https://hadoop-eco.kr-central-2.kakaocloud.com/v2/hadoop-eco/clusters/{Cluster-ID}/scale-out. The Cluster ID can be found under Analytics > Hadoop Eco > Cluster
   Header Key	Content-type	credential-id	credential-secret	Enter Headers Key values Refer to the Hadoop Cluster Creation Request
   Header Value	application/json	Access Key ID	Secret Access Key	Enter Headers Value Refer to the Hadoop Cluster Creation Request
   Body	{"scaleCnt": 1 }			Enter Body value Variables can be entered

   Scale Out

Step 4. Test Scenario

Check the results of the test run for the created scenario. If a 200 response is returned from the URL set in Step 4, the API server is functioning normally. If an unexpected response code is returned, it indicates an issue with the server, which can be diagnosed.

1. If the test runs successfully, Success will be shown under the [Execution Result].

   Test Success Result

2. If an unexpected response code is returned, it will be marked as Failure, indicating a server issue. In this case, check the error details in the lower panel of the right-side menu to resolve the problem.

   caution

   • Errors may occur if accessing a deactivated instance. Ensure the correct IP address is entered.

3. Close the test screen and save the scenario from the Scenario Step Edit screen. The saved scenario will execute automatically based on the configured schedule.

Step 5. Check Execution Results

Check the execution results and the time to evaluate whether the scenario is working correctly. You can verify if the scenario has completed without errors by reviewing the detailed information.

1. Go to the Kakao Cloud Console and select Management > Monitoring Flow > Scenario from the menu.

2. Select the scenario to check, then click the Execution Results tab in the details screen.

   Scenario execution results list

3. Click on an event in the execution results list to view the detailed results.

   Detailed scenario execution results

Step 6. Create Alert Center Alarm Policy

You can receive responses regarding the execution results (success/failure) of Monitoring Flow by setting up an Alert Center alarm policy.

1. Go to the Kakao Cloud Console > Management > Alert Center > Alarm Policy. For detailed instructions, refer to the Create Alarm Policy guide.

2. Set the alarm conditions based on the following table:

Item	Settings
Condition Type	Metric
Service	Monitoring Flow
Condition Setup	Set to receive success/failure alerts using metric items - By setting Scenario Success Count and Scenario Fail Count for the scenario, you can receive all metric alerts - To only receive alerts for failures, set only Scenario Fail Count
Resource Item	Select the scenario for which you want to receive alerts
Threshold	1 count or more
Duration	1 minute

3. Click the [Next] button below to complete creating the alarm policy.

   Create alarm policy

4. Based on the configured alarm policy, you can receive real-time notifications about the execution results (success or failure) of the Monitoring Flow scenario. This allows you to quickly identify changes in the system's status and respond accordingly.