Introduction: LangChain has emerged as the de facto standard framework for building applications powered by large language models. Originally released in October 2022, it has grown from a simple prompt chaining library into a comprehensive ecosystem that includes LangChain Core, LangChain Community, LangGraph, and LangSmith. With over 90,000 GitHub stars and adoption by thousands of […]
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Tips and Tricks – Use CQRS for Complex Domain Logic
Separate read and write operations for better scalability and simpler code.
Read more →Real-Time Data Streaming with Apache Kafka: Building Production Event Pipelines in Python
Introduction: Real-time data streaming has become essential for modern data architectures, enabling immediate insights and actions on data as it arrives. This comprehensive guide explores production streaming patterns using Apache Kafka and Python, covering producer/consumer design, stream processing with Flink, exactly-once semantics, and operational best practices. After building streaming platforms processing billions of events daily, […]
Read more →Tips and Tricks – Use AWS Lambda Layers for Shared Dependencies
Share common code and dependencies across Lambda functions to reduce deployment size.
Read more →Tips and Tricks – Use Terraform Modules for Reusable Infrastructure
Create reusable infrastructure components with Terraform modules for consistency and DRY code.
Read more →BigQuery Unleashed: Building Enterprise Data Warehouses That Scale to Petabytes
Introduction: BigQuery stands as Google Cloud’s crown jewel—a serverless, petabyte-scale data warehouse that has fundamentally changed how enterprises approach analytics. This comprehensive guide explores BigQuery’s enterprise capabilities, from columnar storage and slot-based execution to advanced features like BigQuery ML, BI Engine, and real-time streaming. After architecting data platforms across all major cloud providers, I’ve found […]
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