Daniel Lockyer
Performance and scaling consultant who analyzes the full stack - frontend, backend and infrastructure - to generate more revenue and cut costs for businesses.
Performance and Scale Tune-Up
Full until SeptemberWhat I Offer
- Performance profiling and investigations
- Code changes and pull requeststo fix performance issues
- Scaling and infrastructure optimization
- Database optimization
- Cost analysis and cloud bill optimization
- Process improvements and best practices
How I Work
I work iteratively, focusing on the areas with the most impact first. Rather than trying to fix everything at once, I identify and prioritize the bottlenecks that will give the biggest performance gains.
We can typically make huge improvements within the first 2 months by targeting the right areas.
CPU utilization, memory usage, and response time drops of over 80% are not uncommon.
I usually sit in your team Slack/ team chat, and am available to answer questions and help with any issues that come up.
$8,000/month
Typical engagement: 3-4 months • Ongoing also available
Custom Engagements
Need something different? I also offer workshops, team coaching, training sessions, and other custom arrangements tailored to your specific needs.
Let's talkPrevious Clients
Notable Open Source Contributions
Improved performance of Gumroad by 65% and reduced CPU usage by 50%
Improved search performance by caching key derivation - 10x faster encryption/decryption
Improved performance when importing posts via JSON file by 92%
Optimized settings cache - 30% more requests per second by avoiding JSON.parse hotpath
Optimized loading dynamic redirects - 3x faster by eliminating O(n²) algorithm
Added DB index for conversations.merged_into_id - 99.95% performance improvement on slow queries
Optimized Resources constructor - 15% less CPU during boot by replacing Object.assign
Added partial caching to GScan rules - prevents unnecessary work in theme checking
Optimized Admin dashboard stats - 85x faster (1ms vs 85ms) by replacing recursion with reduce
Optimized integrity check DB calls - reduced from 70+ queries to 1 single grouped query