121 karma · joined December 27, 2021
To categorize the information, I simply link the entry to a specific page. For example, if I discover an interesting React library, I create a new entry like this: https://i.imgur.com/dDlStkZ.png
A great feature is that Logseq understands page hierarchies, so if I click on [[Dev/JS]], it presents a clear hierarchical overview: https://i.imgur.com/z9hGmmh.png
Using this approach, I've stopped bookmarking sites in my browser altogether. In Logseq, I can connect useful things to each other, add entire notes, and more, as shown here: https://i.imgur.com/Krld2cS.png
If I want to remember something, I just add a #card tag to the block, and it automatically syncs with Anki via a plugin.
For security, I implemented TailScale which adds only ~5ms of latency while completely eliminating public network exposure - a worthwhile tradeoff for the significant security benefits.
My optimization approach includes:
- Workload-specific configuration generated via PGTune (https://pgtune.leopard.in.ua/)
- Real-time performance monitoring with PgHero for identifying bottlenecks
- Automated VACUUM ANALYZE operations scheduled via pgcron targeting write-heavy tables, which prevents performance degradation and helps me sleep soundly
- A custom CLI utility I built for ZSTD-compressed backups that achieves impressive compression ratios while maintaining high throughput, with automatic S3 uploading: https://github.com/overflowy/pgbackup
This setup has been remarkably stable and performant, handling our workloads with substantial headroom for growth.