api-design
Why Your APIs Feel Slow (Even When They Arenât)
UNDERSTANDING THE GAP BETWEEN ACTUAL PERFORMANCE AND PERCEIVED LATENCY In previous parts [https://medium.com/@akshatjme/observability-you-cant-fix-what-you-can...
Tag: performance
11 articles about performance
scalability
Load Testing: Why Most Developers Do It Wrong
WHY TESTING FOR STABILITY OFTEN HIDES THE REAL LIMITS OF YOURÂ SYSTEM In previous parts, we explored how systems behave under pressure. Load testing is meant t...
design
The Hidden Cost of Synchronous Systems
WHY WAITING FOR EVERY STEP TO FINISH CAN QUIETLY SLOW DOWN YOUR ENTIREÂ BACKEND In previous parts, we explored how system design choices affect performance. On...
api
Rate Limiting: The Most Underrated Backend Skill
WHY CONTROLLING TRAFFIC MATTERS MORE THAN HANDLINGÂ IT In Part 1 [https://akshatjme.medium.com/why-your-backend-stops-performing-overnight-2d5e3a2f263f], we saw...
algorithms
Implementation and Performance Comparison of Sequential and Parallel Merge Sort Does Parallel Merge Sort Really Win? Implementing and Comparing from Scratch
A from-scratch comparison of sequential vs parallel merge sort, and why parallel doesn't always win.
databases
Understanding the Tradeoff Between Reads and Writes in Databases and Why You Canât Optimize Both at the Same Time
A clear explanation of the read/write tradeoff in databases and its impact on performance decisions.
caching
How I Reduced API Latency by Using Caching
A practical look at caching strategy that reduced latency and stabilized backend performance.
algorithms
How Timsort Beats QuickSort in Real-World Scenarios
A practical comparison of Timsort and QuickSort and why Timsort dominates real-world sorting.
caching
Cache Invalidation Strategies That Actually Work in Production
A practical guide to TTLs, event-driven invalidation, and cache stampede protection for real-world systems.
databases
How Database Indexes Actually Speed Up Reads (And When They Donât)
A clean mental model of B+ trees, selectivity, and query planners, plus the real-world cases where indexes hurt performance.
system-design
Designing a Rate Limiter That Survives Traffic Spikes
A practical guide to rate limiting with token bucket and sliding window strategies, Redis patterns, and failure modes that show up in production.