Millie K Advanced Golang Programming 2024 | Work

Deep Write-Up: Millie K – Advanced Go Programming 2024

Project B: eBPF Integration with Go

Learn to attach Golang userspace programs to eBPF hooks in the Linux kernel. Monitor network packets or filesystem changes without modifying application code.

Target Audience

• Senior backend engineers building low-latency trading systems or SRE tooling.
• Open-source maintainers of Go infrastructure (e.g., proxies, databases, schedulers).
• Developers transitioning from Rust/C++ who need Go’s GC but refuse to sacrifice predictability.

7. Expected Outcomes

Upon completion, participants will be able to: millie k advanced golang programming 2024

• Diagnose and resolve concurrency bugs with confidence.
• Optimize CPU and memory usage using profiling tools.
• Design reusable, generic libraries without sacrificing performance.
• Implement production-ready observability (logs, metrics, traces).
• Understand Go runtime decisions (scheduling, GC) to write more predictable code.

Project A: The Event Sourcing Engine

Build an event store that processes 1 million events/second using: Deep Write-Up: Millie K – Advanced Go Programming

• Partitioned channels with priority queues.
• Write-ahead logs (WAL) with mmap syscalls.
• Snapshotting for state recovery.

Module 1: The Runtime & Memory Model Deep Dive

To write high-performance Go, one must understand the cost of abstraction. SQL: use database/sql with prepared statements

5. Testing, fuzzing, and contract tests

• Table-driven tests: concise, maintainable cases with descriptive names.
• Property-based testing & fuzzing: use go test -fuzz for inputs; integrate with CI.
• Mocking: prefer dependency injection and small interfaces; use generated mocks (mockgen) for complex cases.
• Integration tests: run against ephemeral containers (testcontainers) or local in-memory alternatives.
• Golden files & contract tests: validate API responses, protobuf compatibility checks.

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7. Databases & persistence

• SQL: use database/sql with prepared statements, context, and sqlx or ent (ORM/graph-based) for mapping.
• Transactions: keep transactions short; retry idempotent ops with exponential backoff.
• Connection pools: tune MaxOpenConns/MaxIdleConns to match DB and app concurrency.
• Migrations: use tools like goose, migrate; embed SQL-migrations or use go:embed.
• NoSQL: use idiomatic drivers, consider consistency/latency tradeoffs.

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Module 2: Advanced Concurrency Patterns

Concurrency is Go’s selling point, but advanced usage requires strict discipline to prevent leaks and race conditions.