Pydantic v2 Tutorial: Data Validation and Settings in Python
Validate untrusted data with typed models, write field and model validators, serialize with model_dump, and load typed settings…
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Tech Insights & Engineering Notes
AI systems, platform engineering and architecture. Lessons from 13+ years of building at scale.
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Infrastructure Scalability in DevOps
No one wants their system to crash when things start picking up, right? Let’s explore how you can…
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User Behaviour for CRO : Psychology of Conversion
Are you keen to grasp what drives your website visitors’ actions? Are you looking to boost your conversion…
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Managing Frequent Scaling Events in DevOps Environments
Executive Summary: Demand that swings up and down burns money and causes outages when scaling is manual. I…
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Concurrency & Parallelism in JavaScript
Executive Summary: JavaScript is single-threaded, so concurrency and parallelism get mixed up and UI freezes follow. I separate…
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Schema Versioning Strategies: Backward Compatibility, Expand-Contract, and API Evolution
Schema Versioning Strategies keep old and new code alive too. Learn expand-contract steps, safe fields, and how to…
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File I/O in Java: Streams, Readers, and Writers
Executive Summary: Classic Java file I/O splits into byte streams for binary data and readers and writers for…
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Service Discovery: Registry, Patterns, and Consul vs etcd
Service discovery: how the service registry tracks who is up, the client-side vs server-side discovery comparison, and the…
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Chaos Engineering: Principles, Experiments, and Production Safety
Chaos Engineering tests failure before users ever do. Learn principles, experiment design, and safety stops that keep production…
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Pandas Tutorial for Beginners: DataFrames, Filtering, and GroupBy
Load a CSV into a DataFrame, clean it, filter rows, add columns, and summarize with groupby, using a…
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Autoscaling Backend Systems: Metrics, Policies, and Avoiding Thrash
Autoscaling Backend Systems need stable metrics and cooldown rules. Learn how policies avoid thrash, protect latency, and control…
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API Versioning Strategies: URI, Header, and GraphQL Approaches Compared
API Versioning Strategies compare URI paths, headers, and GraphQL schemas so you can ship changes without breaking clients…
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Utility Classes: Objects, Math, Random, and UUID
Executive Summary: The JDK’s utility classes cover null-safe checks, exact math, random numbers, and IDs. I’ll walk through…
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How Do LLMs Work? A Developer’s Guide to Tokens, Context, and Embeddings
An LLM predicts the next token, over and over. Learn tokens, context windows, temperature, and embeddings through small…
