vishal-tinani // gui-mode // projects/8
Vishal Tinani
DevOps Specialist
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Serverless Event Pipeline via AWS Lambda & SQS
Programmed event ingestion architecture processing parallel payload queues, transforming records dynamically, and indexing metadata in DynamoDB.
$ cat project-plan.md
- Create serverless AWS Lambda operations listening to SQS message triggers.
- Scale database write thresholds automatically utilizing DynamoDB pay-per-request pricing.
- Log operations and pipeline errors with AWS CloudWatch metrics.
$ get --toolchain
AWS LambdaSQSDynamoDBPythonCloudWatch
$ history --commands
aws lambda create-function --function-name EventParser --runtime python3.9 --role arn:aws:iam::...aws sqs send-message --queue-url https://sqs.amazonaws.com/... --message-body 'Test payload'$ grep --errors --challenges
⚠️ CHALLENGE: DynamoDB write limits throttling Lambda tasks during spike requests.
✔️ RESOLUTION: Enabled on-demand scale settings and configured SQS retry queues with dead-letter queue bounds.
$ render --infrastructure --architecture
Serverless Ingestion Pipe Flow
📥
SQS Queue
Message Spooler
⚙️
AWS Lambda
Compute Node
💾
DynamoDB
Metadata Store
📊
CloudWatch
System Logs