Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Learn how to maintain data consistency in distributed systems using the Two-Phase Commit algorithm and the Saga pattern, understanding their practical trade-offs in modern software engineering.
Learn how to migrate from a shared database to distributed architectures without compromising data integrity. Understand real decoupling patterns, such as the Saga pattern and event sourcing, for high-scale systems.
Discover how eBPF transforms Linux Kernel observability by enabling the secure execution of custom programs at runtime without recompiling the operating system.
Learn how CRDTs resolve data conflicts in distributed systems without central coordination, ensuring causal consistency in high-availability architectures.
Learn how to build resilient systems by combining Event Sourcing and CQRS in traditional relational databases, ensuring high availability and immutable audit trails.
Learn how to design high-performance streaming data architectures using Apache Kafka for transport and Apache Flink for continuous processing.
Learn how to build resilient data flows to extract information from complex PDFs, tables, and receipts using visual artificial intelligence and language models.
Learn how to architect a high-performance distributed security layer combining open standards with credential validation directly in service memory.
Learn how to apply Design by Contract in dynamic languages like Python and JavaScript to enforce clear input and output rules, intercepting catastrophic errors before they reach users.
Learn how to eliminate the N+1 query problem in GraphQL APIs using Dataloaders for batching and edge caching architectures for minimal latency.
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