SECTION 0 — PERFORMANCE IS ONE PIPELINE
Users experience performance as one thing.
Your system is a pipeline:
Network → CDN → Server → DB → Response → Render → Hydrate → Interact
Senior fullstack performance means you manage budgets across that pipeline.
SECTION 1 — LATENCY BUDGETING (THE MODEL)
Pick targets:
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TTFB p95
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LCP p75
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INP p75
Then allocate budgets:
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server compute
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DB/query time
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cache hit rate targets
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client render/hydration
Senior rule:
If you don’t budget, you will overspend unpredictably.
SECTION 2 — WHAT TO MEASURE FIRST (ANTI-PLACEBO)
Start with:
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end-to-end traces for slow requests
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DB query timings + frequency
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cache hit rates
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payload sizes (JSON, images)
Avoid:
- “micro-optimizations” without a measured bottleneck
SECTION 3 — CACHING HIERARCHY
Layers:
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browser (assets)
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CDN (cacheable GETs)
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server/app cache (hot computed results)
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DB/query cache (where appropriate)
Keys:
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include auth scope
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include tenantId
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include version
Invalidation:
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prefer event-driven invalidation for correctness-critical data
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otherwise TTL + stale-while-revalidate
Stampede control:
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request coalescing
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jittered TTL
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soft/hard TTL
SECTION 4 — PAYLOAD BUDGETS (FRONTEND IS BACKEND TOO)
Large payloads kill:
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mobile networks
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render time
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memory
Senior tactics:
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pagination and windowing
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field selection (don’t ship unused fields)
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compress responses
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image resizing and modern formats
SECTION 5 — RENDERING STRATEGIES (SSR/CSR/STREAMING)
Rules of thumb:
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SSR for fast first content
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CSR for highly interactive subtrees
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streaming when you can progressively reveal content
But always measure real user metrics.
SECTION 6 — PROFILING PLAYBOOK
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Reproduce slow path (prod traces > local guessing)
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Identify bottleneck category: IO, DB, CPU, serialization, client render
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Fix the bottleneck (one change)
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Measure again
SECTION 7 — EXERCISES
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Define budgets for one critical page (TTFB/LCP/INP).
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List your caching layers and which data belongs in each.
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Pick one endpoint and cut payload size by 30% (design how).