In the fast-paced world of continuous integration and deployment (CI/CD), managing sensitive information like API keys, tokens, and credentials—collectively known as secrets—is not just a best practice; it's a critical foundation for security and efficiency. GitHub Actions provides a robust framework for automating workflows, but a common friction point for many development teams, particularly tho
The Challenge of Scalable Secrets Management in GitHub Actions For development teams scaling beyond a handful of repositories, managing environment-specific variables and secrets in GitHub Actions can quickly become a significant bottleneck. The manual duplication of configurations across multiple repos, especially when dealing with distinct environments like development, staging, and production
I got tired of the same three-step content publish loop: write draft → open CMS → paste, format, re-paste, fight the rich-text editor, click publish. Repeat for every environment — staging, then production. For one article, fine. For a team publishing 20+ pieces a month? That workflow is a quiet tax on everyone's time. So I wired up a pipeline that cuts the loop entirely. You commit a .md file to
Linux kernel source tree
This isn't an anti-Go post. Go is a great language. This is about what I want to understand. I just finished building an L7 HTTP load balancer in Go. It accepts connections. It parses HTTP headers. It forwards requests to backend servers using round-robin. It handles concurrent connections with goroutines. It has health checks. It works. And somewhere in the middle of it working, I realized I didn
Most teams I have worked with have one auth test in their suite. It looks like this: test('valid token verifies', () => { const token = signSync({ sub: 'user-1', aud: 'api://backend' }, secret); const result = verify(token, options); expect(result.valid).toBe(true); }); That test is fine. It is also a smoke test, not a regression suite. It catches the case where verification is completely b
Most developers use malloc without thinking much about what happens underneath. This project is an attempt to explore that layer by building a memory allocator from scratch in C. The allocator implements malloc, free, calloc, and realloc without relying on libc’s heap functions. It focuses on: Thread safety Per-thread caching (tcache) Efficient free block management using bins mmap-based memory g
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