Welcome to this week’s Uptime Sync. This issue covers a homelab that largely maintains itself, why Postgres transactions are still one of the most underrated superpowers in distributed systems, and the growing case for using PostgreSQL as the default choice before adding more moving parts. We also look at how a single day of AI usage quietly cost more than a month of servers, what the pager teaches you about real incident response, and how VictoriaLogs stores logs in a columnar layout to stay efficient at scale.
On the tutorial front: self-hosting MinIO as a free S3-compatible object store, setting up your own DNS-over-HTTPS service, practical Kubernetes recommendations across AKS, Cilium, and rate limiting, zero-downtime deployments with Docker Compose, and a lightweight Portainer alternative for managing Docker in a homelab.
This week’s projects bring you ZeroFS for serving S3-compatible buckets as filesystems or block devices, DBOSify for Temporal-like workflows backed by Postgres, Djevops for simpler self-hosted Django deployments, FSM for advanced Linux system monitoring, and Monlite for documents, vectors, cache, and job queues in a single SQLite file.
Newsworthy Reads
Tutorials of the Week
Projects of the Week
ZeroFS serves S3-compatible buckets as POSIX filesystems over NFS and 9P, or as raw block devices over NBD.
DBOSify is a Python library offering a drop-in replacement for Temporal, using Postgres as the backing store instead of requiring a separate orchestration cluster. The project provides workflow durability and replay semantics for stateful microservices on...
Djevops is a tooling to self-host Django applications with reduced operational overhead. It targets developers seeking a simpler alternative to manual Kubernetes or traditional VPS deployments for small-to-medium Django workloads.
FSM – an advanced system monitor for Linux. It provides an advanced interface for inspecting system metrics and process state in real time.
Monlite - documents, vectors, cache, and job queue in one SQLite file. A potential drop-in replacement for simpler workloads that don't need Redis, PostgreSQL, or vector databases
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