Production deployment guide for YOLOv8 on NVIDIA Jetson platforms. Covers JetPack setup, TensorRT engine compilation with FP16/INT8 precision, calibration procedures, efficient inference implementation, performance tuning strategies, thermal management, and platform-specific benchmarks across Jetson Nano, Xavier NX, and Orin families.
Author: Chandan
YOLOv8 Implementation and Quantization: From Training to Edge Deployment
Comprehensive implementation guide for training and quantizing YOLOv8 models for edge deployment. Covers PTQ and QAT workflows, model export to ONNX/TensorRT/TFLite formats, rigorous validation methodologies, and performance benchmarking demonstrating 4x compression and 1.5-2.75x speedup with sub-2% accuracy degradation.
Real-Time Object Detection on Edge Devices: Building Production-Ready CNNs for On-Device Visual Analysis
Comprehensive guide to deploying production-ready CNNs on edge devices for real-time object detection. Covers architecture fundamentals, YOLOv8 vs YOLO26 comparison, quantization techniques achieving 4x compression, and hardware platform selection including NVIDIA Jetson, Raspberry Pi + Coral TPU, and Intel OpenVINO solutions.
Kafka Streams and ksqlDB: Building Real-Time Stream Processing Applications
Master real-time stream processing with Kafka Streams and ksqlDB. Comprehensive guide covering stateless and stateful operations, windowing, joins, aggregations, and production deployment patterns for building scalable streaming applications.
Kafka Connect in Production: Building Scalable Data Integration Pipelines
Master Kafka Connect for building production-ready data integration pipelines. Comprehensive guide covering source and sink connectors, Single Message Transforms, distributed deployment, error handling, and operational best practices for streaming data between Kafka and external systems.
Kafka Consumers: Building Reliable Data Pipelines with Consumer Groups
Master Kafka consumer patterns for building resilient data consumption pipelines. Comprehensive guide covering consumer groups, offset management, rebalancing strategies, delivery semantics, and performance optimization with production examples in C#, Node.js, and Python.
Kafka Producers: Patterns and Best Practices for Reliable Data Ingestion
Master Kafka producer patterns for production deployments. Comprehensive guide covering idempotent producers, transactions, batching, compression, error handling, and performance optimization with working examples in C#, Node.js, and Python.
Apache Kafka Architecture Fundamentals: Building Production-Ready Event Streaming Platforms
Master Apache Kafka’s distributed architecture fundamentals. Comprehensive guide covering core components, KRaft consensus protocol, replication strategies, and production deployment patterns for building scalable event streaming platforms.
Azure AI Foundry with Anthropic Claude Part 7: Production Patterns – Monitoring, Security, and Optimization
Comprehensive production deployment guide for Claude in Azure AI Foundry. Learn Application Insights monitoring, prompt caching optimization, Azure Key Vault security, rate limiting strategies, high availability patterns, cost optimization techniques, and enterprise-grade reliability patterns for production systems.
Announcing Group Code v1.5.0: Favorites System for VSCode
I just released Group Code v1.5.0 for VSCode with a new favorites system, user profile storage, and tree state persistence. Learn what’s new and how to upgrade.
