Comprehensive technical articles that go beyond the format of a typical entry in our knowledge base. Each article is a deep-dive into a specific topic in server infrastructure, databases, or web architecture – complete with parameters, configuration examples, and engineering rationale.
A comprehensive guide to tuning the ZFS stack for relational databases: ARC and L2ARC memory architecture, SLOG device selection, eliminating redundant write protection (full_page_writes, InnoDB doublewrite buffer), recordsize configuration, io_uring, and deployment differences between Linux and FreeBSD. Read more ›
The Nginx–PHP-FPM–MariaDB connection cascade, precise RAM calculation for each component, OPcache and keepalive configuration, Redis vs fastcgi_cache caching strategies, and professional bottleneck profiling with strace, Performance Schema, and Flamegraph. Read more ›
Building a PostgreSQL HA cluster: streaming replication (synchronous and asynchronous), Patroni orchestration with etcd and the Raft algorithm, Split-Brain prevention with the Watchdog module, dynamic traffic management with HAProxy, and logical slot synchronization in PostgreSQL 17. Read more ›
A comparison of three containerization approaches: isolation architecture (namespaces, cgroups v2, monolithic kernel object), storage (overlay2 vs ZFS storage driver vs native dataset delegation), networking (NAT, macvlan, VNET/epair), security (seccomp + AppArmor vs Capsicum), and the io_uring block in Docker. Read more ›
DNS query anatomy, BIND 9 vs NSD vs Unbound compared, record types (CAA, CNAME vs ALIAS), DNSSEC and adoption statistics, encrypted DNS transports (DoH, DoT, DoQ), GeoDNS, split-horizon, monitoring, and disaster recovery – Registry Lock, hijacking defense, and a domain recovery plan. Read more ›
FreeBSD with ZFS as an alternative to Linux for WordPress hosting: kqueue vs epoll, MySQL optimization on ZFS, snapshots and atomic rollbacks, Jails with VNET for full network isolation, RCTL resource limits, and a practical comparison with benchmarks. Read more ›
Memory configuration (shared_buffers, work_mem), WAL and checkpoint tuning, autovacuum and MVCC bloat, indexing strategies (B-tree, GIN, BRIN, partial, covering), query analysis with EXPLAIN ANALYZE and pg_stat_statements, connection pooling with PgBouncer, and PostgreSQL 17 performance improvements. Read more ›
What Supabase does under the hood with PostgreSQL: PostgREST as an auto-generated API, GoTrue and JWT tokens, Realtime with WALRUS (RLS over WebSocket), Supavisor as the successor to PgBouncer, security (asymmetric keys, Splinter, GitHub scanning), self-hosting with Docker and Kubernetes, and when to use Supabase versus a classic backend. Read more ›
If these articles raised questions or you need an audit, optimization, or deployment – we are at your disposal. No commitment – a concrete proposal after analysis.
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