habsi@bolg — docker compose up
  1. 00.01handshake edge → origin blog.habsi.net
  2. 00.02scale php-fpm replicas 3/3 ready
  3. 00.03warm redis object cache prefix habsi
  4. 00.04mount mariadb volume wordpress_db
  5. 00.05purge nginx fastcgi cache MISS → HIT
  6. 00.06sync homelab + AI feeds online

habsi@stack:~$ wp cache flush --allow-root

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eBPF in Production: Superpowers for Linux Observability and Security
Posted inAI

eBPF in Production: Superpowers for Linux Observability and Security

eBPF in Production: Superpowers for Linux Observability and Security eBPF is one of the most consequential Linux technologies of the last decade. It lets you run sandboxed programs inside the…
Posted by KHAMIS ALHABSI 03/10/2026
Real-time Data Architectures: Building Scalable Streams with Kafka and Flink
Posted inAI

Real-time Data Architectures: Building Scalable Streams with Kafka and Flink

Real-time Data Architectures: Building Scalable Streams with Kafka and Flink In today's data-driven world, the ability to process and analyze information as it arrives is no longer a luxury but…
Posted by KHAMIS ALHABSI 03/10/2026
Edge AI in Production: Optimizing ML for IoT and Embedded Systems
Posted inAI

Edge AI in Production: Optimizing ML for IoT and Embedded Systems

Edge AI: Deploying Machine Learning on Resource-Constrained IoT Devices The convergence of artificial intelligence and the Internet of Things (IoT) has given rise to Edge AI: the practice of running…
Posted by KHAMIS ALHABSI 03/10/2026
Prompt Injection Defense: Securing LLM Apps in Production
Posted inAI

Prompt Injection Defense: Securing LLM Apps in Production

Prompt Injection Defense: Securing LLM Apps in Production Large language models are becoming a new computation layer. They read documents, call APIs, write code, send emails, and make decisions. That…
Posted by KHAMIS ALHABSI 03/10/2026
Production RAG Systems: Architecture, Evaluation, and Failure Modes
Posted inAI

Production RAG Systems: Architecture, Evaluation, and Failure Modes

Production RAG Systems: Architecture, Evaluation, and Failure Modes Retrieval-augmented generation (RAG) has become the default pattern for connecting large language models to private or changing knowledge. A demo RAG pipeline…
Posted by KHAMIS ALHABSI 02/10/2026
Post-Quantum Cryptography: A Practical Migration Guide for Modern Systems
Posted inAI

Post-Quantum Cryptography: A Practical Migration Guide for Modern Systems

Post-Quantum Cryptography: A Practical Migration Guide for Modern Systems Quantum computing is moving from research curiosity to engineering reality. For security teams, the important question is not when a cryptographically…
Posted by KHAMIS ALHABSI 02/10/2026
Confidential Computing: The Missing Layer in Cloud and AI Security
Posted inAI

Confidential Computing: The Missing Layer in Cloud and AI Security

Confidential Computing: The Missing Layer in Cloud and AI Security Encryption at rest and in transit are table stakes. They protect data on disks and networks, but they leave a…
Posted by KHAMIS ALHABSI 02/10/2026
WebAssembly at the Edge: Portable, Secure Serverless Beyond Containers
Posted inAI

WebAssembly at the Edge: Portable, Secure Serverless Beyond Containers

WebAssembly at the Edge: Portable, Secure Serverless Beyond Containers Edge computing promises ultra-low latency by moving computation closer to users. But deploying traditional containers to thousands of edge locations is…
Posted by KHAMIS ALHABSI 02/10/2026
Local-First Apps with CRDTs: Building Offline Collaboration That Just Works
Posted inAI

Local-First Apps with CRDTs: Building Offline Collaboration That Just Works

Local-First Apps with CRDTs: Building Offline Collaboration That Just Works Cloud software trained us to treat connectivity as a precondition. Every edit waits for a server, every screen assumes a…
Posted by KHAMIS ALHABSI 02/10/2026
Feature Flags at Scale: Safe Releases Without the Chaos
Posted inAI

Feature Flags at Scale: Safe Releases Without the Chaos

Feature Flags at Scale: Safe Releases Without the Chaos Feature flags have escaped the lab. They now sit at the center of how modern teams ship software: decoupling deployment from…
Posted by KHAMIS ALHABSI 01/10/2026

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