Performance Tuning
21 achievements

Photo: mibro / Pixabay 
Photo: qimono / Pixabay
-
Made a geographical data pipeline 50x faster
Accelerated geographical data pipeline performance by 50x by improving SQL programming and data modeling across PostgreSQL, MS SQL, and Google Cloud BigQuery.
-
Improved GIS map performance 10x on PostgreSQL
Improved geographical map application performance by 10x through strategic database transition from MSSQL to PostgreSQL, including the data cutover, optimizing processing and data security.
-
Resolved 1,000 issues in geographical data
Resolved 1,000 issues in geographical data and time‑series data, using GDAL, ArcGIS, PostGIS, Mapbox, QGIS, SQL (PL/pgSQL, Transact‑SQL), Bash, ensuring high‑quality big data processing.
-
Ran 100 PostgreSQL, MS SQL, BigQuery warehouses
Architected, created, and managed 100 PostgreSQL, MS SQL, and Google BigQuery data warehouse databases with primarily GIS and time‑series data, optimizing performance and scalability.
-
Directed full‑stack GIS map development
Directed full‑stack GIS map development, overseeing PostgreSQL, Mapbox, ReactJS, and NodeJS to deliver an integrated solution.
-
Overhauled internal processes, saving 8,000 hours
Overhauled internal processes, saving 8,000 hours by improving software architecture, systems, and scheduling efficiency.
-
Administered 40 websites on Apache and Nginx
Administered 40 websites on Ubuntu Linux hosting servers with Apache and Nginx, ensuring high availability and performance.
-
Designed a JSON passthrough from Postgres to API
Designed a JSON passthrough architecture where PostgreSQL functions return complete JSON forwarded verbatim by the Go API, eliminating intermediate unmarshalling and decoupling the frontend from schema changes.
-
Modeled 348 tables across 34 Postgres schemas
Modeled the maritime domain into 348 normalized tables across 34 PostgreSQL schemas — professionals, companies, ships, jobs, reviews and the rest — with SMALLINT lookups and UUID v7 keys.
-
Built the Next.js 16 frontend: SSR, SSG and CSR
Built the Next.js 16 frontend with deliberate SSR, SSG and CSR strategies, and a reusable prefetched‑server‑page factory that removes the N+1 fetch cascade from each authenticated page moved onto it.
-
Delivered full Progressive Web App support
Delivered full Progressive Web App support — installable and offline‑capable — with Workbox runtime caching via next‑pwa.
-
Moved slow work onto a River job queue
Moved slow work off the request path onto a River job queue — 15 worker modules, 8 scheduled tasks and 20 pg_cron jobs — so a request returns while the work behind it carries on.
-
Built fail‑closed rate limiting and anti‑abuse
Built fail‑closed abuse controls — 22 Redis‑backed rate limiters, Cloudflare Turnstile, request idempotency and an origin lock — so the platform sheds bots and floods instead of trusting its callers.
-
Built a loyalty wallet, leagues and badges
Built the loyalty and reputation system — 67 functions over a 31‑table ledger, with leagues, badges and a redemption shop — taking a row lock on the balance to close the double‑spend window.
-
A whole company on one small server
Ran the whole company on one 512 MB single‑core host — a git forge, a web server serving seven domains, Tor, two alternate‑protocol servers, backups and intrusion banning — by treating 464 MB of usable memory as the binding architectural constraint.
-
Built a multilingual Hugo site in 3 languages
Built a multilingual static site in Hugo across 108 template files including 53 partials, publishing every page in four representations from one content tree in three languages, and again under seven focused subdomains built from that same tree.
-
A safety net that no longer costs half an hour
Cut the site's browser‑driven quality gate from 1,636 seconds to 615 by scheduling its checks longest‑first through a worker pool bounded to four lanes, after measuring that alphabetical order cost 320 seconds against 224.
-
Cut the stylesheet bundle from 87 KB to 31 KB
Cut the stylesheet bundle from 87 KB to 31 KB by taking a base64 font out of it, and dropped 756 KB across 22 files that were published on every deploy and referenced by nothing.
-
Vendored a QR encoder in 522 lines
Vendored a QR encoder — Reed‑Solomon over GF(256), fixed module layout, eight mask patterns — in 522 lines rather than take a third runtime dependency, and verified it by reading the finished matrix back with an independently written decoder.
-
An app that ate 41 MB a second, stopped
Stopped an application filling memory at 41 MB a second — a recorded 111 GB of compressed pages on a 36 GB machine — by bounding every event stream, subscribing by event type and putting a rate budget on logging, taking 610,996 log lines down to 1,411.
-
Adopted Swift 6 strict concurrency over C
Adopted Swift 6 complete strict concurrency with no actors, bridging a blocking C event loop to the main actor through one producer, one consumer and one ordering — after establishing that a task per event loses the ordering the interface depends on.
If this is the work you need done, the next step is a conversation.
Tell us the problem and we will tell you honestly whether we are the right people.
This work is part of what we offer as Backend & API Development, Frontend Development, Platform & Solution Architecture, Database Design & Modeling, GIS & Geospatial Solutions, Website Development & CMS, Site Reliability & Monitoring and Technical Leadership & Consulting.
Building something that needs this? Get in touch.

