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Many developers know GitLab simply as an alternative to GitHub. This article shows you why it's much more than that: it's a gateway to the open-source world that can boost your professional growth. Discover the advantages of its community, its rewards system, and events like Hackathons that await you.

Are you preparing for a Solutions Architect interview and want to master security concepts? This complete guide is your starting point. We break down the fundamentals of encryption in a simple and direct way: learn the difference between an algorithm and a key, when to use symmetric vs. asymmetric encryption, and how these concepts are applied in the real world with practical examples from key AWS services like S3, KMS, EBS, and SSH. Read this article and confidently answer encryption questions in your next interview!

Managing environment variables across 40 microservices can be chaotic and insecure. Discover how we tackled this challenge by centralizing secrets and configurations with AWS Parameter Store instead of AWS Secrets Manager. This article offers a step-by-step guide, including Go code examples, to improve your system's security and simplify operations.

Mission accomplished! I'm proud to have completed the AWS Associate core by obtaining my Solutions Architect, Developer, and SysOps Administrator certifications. Learn about my journey to the SysOps Admin exam, the essential operational knowledge, and why these three certifications are a game-changer for cloud professionals. Find out what's next for my professional growth!

Navigating AWS S3 bucket policies can be tricky! This article breaks down what S3 bucket policies are, how they work, and provides practical examples to help you control access and define rules for your S3 buckets. Learn how to manage who can read or create objects, enforce encryption, and even restrict access based on tags or secure transport (HTTPS).

This article tells the true story of how I optimized a backend process that was inexplicably taking 75 seconds longer than it should. Even though we used Go and goroutines for parallel processing, the bottleneck was hiding in the most unexpected place: warning logging. I show you the analysis, before and after data, and a code example so you can see for yourself how such a common operation can destroy the performance of a concurrent system. A vital lesson on how the smallest details can have the biggest impact.