A DevOps engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web togs. The DevOps engineer manages the Kinesis consumer application, which also runs on Amazon EC2.
Sudden increases of data cause the Kinesis consumer application to (all behind and the Kinesis data streams drop records before the records can be processed. The DevOps engineer must implement a solution to improve stream handling.
Which solution meets these requirements with the MOST operational efficiency?
* Configure AWS Systems Manager on Each Instance:
AWS Systems Manager provides a unified interface for managing AWS resources. Install the Systems Manager agent on each EC2 instance to enable inventory management and other features.
* Use AWS Systems Manager Inventory:
Systems Manager Inventory collects metadata about your instances and the software installed on them. This data includes information about applications, network configurations, and more.
Enable Systems Manager Inventory on all EC2 instances to gather detailed information about installed applications.
* Use Systems Manager Resource Data Sync to Synchronize and Store Findings in an Amazon S3 Bucket:
Resource Data Sync aggregates inventory data from multiple accounts and regions into a single S3 bucket, making it easier to query and analyze the data.
Configure Resource Data Sync to automatically transfer inventory data to an S3 bucket for centralized storage.
* Create an AWS Lambda Function that Runs When New Objects are Added to the S3 Bucket:
Use an S3 event to trigger a Lambda function whenever new inventory data is added to the S3 bucket.
The Lambda function can parse the inventory data and check for the presence of prohibited applications.
* Configure the Lambda Function to Identify Prohibited Applications:
The Lambda function should be programmed to scan the inventory data for any known prohibited applications and generate alerts or take appropriate actions if such applications are found.
Example Lambda function in Python
import json
import boto3
def lambda_handler(event, context):
s3 = boto3.client('s3')
bucket = event['Records'][0]['s3']['bucket']['name']
key = event['Records'][0]['s3']['object']['key']
response = s3.get_object(Bucket=bucket, Key=key)
inventory_data = json.loads(response['Body'].read().decode('utf-8'))
prohibited_apps = ['app1', 'app2']
for instance in inventory_data['Instances']:
for app in instance['Applications']:
if app['Name'] in prohibited_apps:
# Send notification or take action
print(f'Prohibited application found: {app['Name']} on instance {instance['InstanceId']}')
return {'statusCode': 200, 'body': json.dumps('Check completed')}
By leveraging AWS Systems Manager Inventory, Resource Data Sync, and Lambda, this solution provides an efficient and automated way to audit EC2 instances for prohibited applications.
Britt
5 months agoLizbeth
5 months agoTandra
5 months agoDelmy
5 months agoNoel
6 months agoAlecia
6 months agoBarrett
6 months agoElise
6 months agoWillow
6 months agoSerina
6 months agoFatima
6 months agoXochitl
6 months agoMiles
7 months agoRory
7 months agoKatie
7 months agoLuis
11 months agoAudry
9 months agoSelma
9 months agoMichal
10 months agoLeota
10 months agoJamal
11 months agoElinore
10 months agoAimee
10 months agoSylvia
11 months agoFelicidad
12 months agoEliz
10 months agoLashonda
10 months agoTamekia
10 months agoShonda
12 months agoDell
10 months agoNettie
10 months agoAllene
10 months agoReed
11 months agoMira
1 year agoSherell
1 year agoJesusita
11 months agoYuki
11 months agoAllene
11 months agoIsadora
12 months agoWillow
12 months agoCharolette
12 months agoEzekiel
1 year agoMira
1 year ago