AI BriefingInflab DevOps Team 6-Week Internship Retrospective
Key point
As an Inflab DevOps intern, I reflected on the technical challenges and growth process of building a spam and profanity filtering API.
Details
I worked as an intern on the Inflab DevOps team for 6 weeks, carrying out the task of building a spam and profanity filtering API. The core challenge was implementing a solution to resolve spam issues in user input data within the Inflearn and Rallit services.
The main tech stack and implementation details are as follows.
- Machine learning model implementation using Python
- Writing serverless-based spam checking and feedback logic using AWS Lambda
- Building infrastructure such as SNS and SQS using Pulumi
During the implementation process, I directly experienced practical infrastructure issues, such as resolving a KMS encryption key configuration issue between SNS and SQS and setting container CPU limits in the ECS Task Definition. Through this, I learned the importance of not just solving problems simply, but of an engineering process that identifies the root cause of a problem and seeks the optimal solution.
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