Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Systemd Service Reliability Patterns. Practical guidance for reliable, scalable platform operations.
Discover proven strategies to reduce AWS costs by up to 50%. Learn about Reserved Instances, Spot Instances, right-sizing, and automated cost management.
Learn how to containerize and deploy LangChain applications in production. Best practices for scaling, monitoring, and maintaining AI-powered services.
Linux Performance Baseline Methodology. Practical guidance for reliable, scalable platform operations.
Master Kubernetes resource management with Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and Cluster Autoscaler. Learn when to use each and how to configure them for optimal performance.
Cloud Disaster Recovery Runbook Design. Practical guidance for reliable, scalable platform operations.
AWS Cost Control with Tagging and Budgets. Practical guidance for reliable, scalable platform operations.
Ansible Role Design for Large Teams. Practical guidance for reliable, scalable platform operations.
Terraform State Isolation by Environment. Practical guidance for reliable, scalable platform operations.
A deep dive into managing stateful LLM workloads, scaling inference endpoints, and optimizing GPU utilization in a cloud-native environment.
GitHub Actions Pipeline Reliability. Practical guidance for reliable, scalable platform operations.
How extended Berkeley Packet Filter allows you to run sandboxed programs in a privileged context without modifying kernel source code.
