Latest posts
AI Anomaly Detection for System Observability
AI anomaly detection in Python combines seasonal decomposition and Isolation Forest to catch distributed system degradations static alerts miss.
AI Capacity Planning with Python Time-Series Models
AI capacity planning in Python forecasts system load with Prophet and pre-scales infrastructure ahead of predictable traffic spikes.
Saga Pattern in Python for Distributed Transactions
The saga pattern in Python uses a durable orchestrator and idempotent compensations for distributed transactions without two-phase commit.
URL Shortener System Design in Python
The URL shortener is a system design interview cliché for a reason: it looks trivial (a dict from short code to long URL) and is actually a compact lesson in three separate hard problems — generating unique IDs without a central bottleneck, encoding them compactly, and serving a wildly read-heavy workload (real-world shorteners see read:write…
Python Rate Limiting: Token Bucket for High-Throughput APIs
Python rate limiting with the token bucket algorithm: build an in-memory limiter, then scale it with Redis and Lua for distributed, high-throughput APIs.
