A practical comparison of Hugo and WordPress for company blogs across speed, editing workflow, maintenance, security surface, AI-assisted publishing, and long-term cost.
A practical comparison of ClickHouse and BigQuery across cost model, performance shape, operations, and where each platform is the better analytics choice.
A practical guide to optimizing BigQuery with partitioning, clustering, materialized views, staged tables, and table snapshots so reports stay fast and affordable.
When self-hosted n8n is worth it: security boundaries, scaling beyond plan limits, flexible infrastructure, licensing options, and a practical Docker starting point.
A practical comparison of PostgreSQL, MySQL, ClickHouse, Redis, and Qdrant by role in a self-hosted stack for internal tools, analytics, automation, and AI.
When self-hosted Qdrant is the better fit for retrieval, vector search, and internal AI systems that need a dedicated layer for semantic lookup.
When self-hosted Ollama makes sense for private AI workflows, predictable inference cost, and local model execution inside a broader automation or internal tools stack.
A practical comparison of Prometheus, Gatus, and Beszel: which tool fits metrics, uptime checks, or Docker host visibility, and when to use them together.
When self-hosted Beszel is the fastest way to monitor a Docker host, containers, and basic service health without committing to a heavier metrics stack.
When self-hosted Gatus is the better choice than a full monitoring stack for uptime checks, status visibility, and simple alerting across a self-hosted environment.
