Performance, Optimization & Memory

Published on · Updated · 4 min

Wlad
Wlad
Founder & Swift Tech Lead

Do you have a production app with performance issues? This service helps you:

  • Diagnose — precisely identify bottlenecks

  • Measure — establish baselines and objective metrics

  • Optimize — apply targeted and effective fixes

  • Monitor — set up tracking to prevent regressions

“This service addresses concrete problems. I profile, analyze, and fix.”

Symptoms I Treat

Your app might be suffering from:

SymptomProbable CauseUser Impact

Freezing UI

Blocked main thread

Frustration, abandonment

Choppy scrolling

Heavy cells, layout

Degraded experience

Slow launch

Excessive initialization

Poor first impression

Battery drain

Background tasks, CPU

Uninstallation

Memory explosion

Retain cycles, caches

Crashes

Overheating device

Overloaded GPU/CPU

Device throttling

My Methodology

1. Baseline & Reproduction

Before optimizing, we need to measure:

  • Systematic problem reproduction

  • Documented initial metrics

  • Defined test scenarios

  • Target devices identified (old iPhone vs recent)

2. In-depth Profiling

Analysis with Apple tools:

ToolWhat It Reveals

Time Profiler

CPU time per function, hot paths

Allocations

Created objects, allocated memory

Leaks

Retain cycles, memory leaks

System Trace

Scheduling, thread states

Core Animation

FPS, offscreen rendering

Network

Latency, payload sizes

Energy Log

Battery consumption

3. Analysis & Prioritization

Not all optimizations are equal:

  • User impact (visible vs invisible)

  • Fix effort (quick win vs refactor)

  • Regression risk

  • Overall ROI

4. Targeted Fixes

Optimizations applied by priority:

  • Quick fixes first (low-hanging fruits)

  • Localized refactoring if needed

  • Non-regression tests

  • Gain validation

5. Documentation & Monitoring

To make it last:

  • Detailed optimization report

  • Before/after metrics

  • Automated performance tests

  • Monitoring recommendations

Optimization Domains

CPU & Main Thread

The main thread must stay free for UI.

Common problems:

    • Heavy computations on main thread
    • Synchronous JSON parsing
    • Complex layouts recalculated in loops
    • Poorly managed observers

Solutions:

    • Dispatch to background queues
    • async/await and Swift Concurrency
    • Lazy loading and pagination
    • Layout caching

Memory & Retain Cycles

Memory is precious, especially on older devices.

Common problems:

    • Closures capturing self strongly
    • Unbounded caches
    • Uncompressed images in memory
    • Strong delegates

Solutions:

    • Systematic [weak self]
    • NSCache with policies
    • Image downsampling
    • Weak delegates

Rendering & Animations

60 FPS or nothing.

Common problems:

    • Offscreen rendering (shadows, masks)
    • Overlapping transparencies
    • Non-optimized images
    • Animations on main thread

Solutions:

    • Rasterization when appropriate
    • shouldRasterize, drawsAsynchronously
    • Optimized assets (@2x, @3x)
    • Core Animation vs UIView.animate

Network & Data

Perceived latency matters as much as actual latency.

Common problems:

    • Sequential requests
    • Oversized payloads
    • No caching
    • No pagination

Solutions:

    • Parallel requests
    • Compression, selective fields
    • URLCache, application cache
    • Infinite scroll, lazy loading
Profiling with Instruments
Instruments reveals the real bottlenecks — no room for guesswork

Tools I Use

Apple Instruments

The complete Xcode profiling suite:

  • Time Profiler, Allocations, Leaks

  • System Trace, os_signpost

  • Core Animation, GPU Driver

  • Network, Energy Diagnostics

Automated Measurements

Performance tests integrated into CI:

  • XCTest measure {} blocks

  • MetricKit for field metrics

  • Custom benchmarks

  • Regression detection

Production Monitoring

Post-deployment tracking:

  • Firebase Performance Monitoring

  • MetricKit reports

  • Crash reports (memory)

  • Custom analytics

Mission Example

Context

E-commerce app with 500K+ users, complaints about slowness on the product feed.

Diagnosis

  • Scroll at 45 FPS (target: 60)

  • Images loaded at full resolution

  • Shadows computed every frame

  • 3 retain cycles identified

Optimizations

  1. Image downsampling to display size

  2. Pre-calculated shadow paths

  3. Properly reused cells

  4. Fixed retain cycles

Results

MetricBeforeAfterGain

Scroll FPS

45

60

+33%

Feed memory

380 MB

120 MB

-68%

Time to interactive

2.8s

1.1s

-61%

Memory crashes

12/day

0

-100%

Engagement Formats

Performance Audit

Complete diagnosis with recommendations.

Deliverables:

  • Detailed profiling report

  • Identified and prioritized issues

  • Optimization recommendations

  • Effort estimation

Duration: 3-5 days

Optimization Sprint

Diagnosis + fixes on a defined scope.

Deliverables:

  • Initial audit

  • Implemented optimizations

  • Performance tests

  • Documented gains

Duration: 1-2 weeks

Continuous Support

Long-term performance monitoring.

Deliverables:

  • Perf-oriented PR reviews

  • Monitoring setup

  • Team training

  • Regression alerting

Duration: 1-3 months

Principles I Apply

“Premature optimization is the root of all evil”
— Donald Knuth
  • Measure before optimizing — no guesswork

  • Profile on real devices — the simulator lies

  • Target hot paths — 80/20 rule

  • Test on older devices — iPhone 8, not iPhone 15

  • Automate benchmarks — prevent regressions

  • Document choices — for future maintenance

The boundaries of this service

Here, we solve proven performance problems with measurable results.

Frequently Asked Questions

"How do I know if I need this service?"

If your users complain about slowness, if your app crashes for memory reasons, or if you see poor ratings related to performance — you probably need an audit.

"Will this break features?"

Optimizations are targeted and tested. We don't touch functionality, only how it executes.

"How much gain can we expect?"

It depends on the initial state. I've seen 50-80% gains on apps that had never been profiled. On already optimized apps, gains are more modest but often still significant.

"What if the problem is backend-side?"

I can identify whether the problem comes from the client or server. If it's the backend, I provide you with data so your backend team can investigate.

Performance metrics
Concrete metrics, before and after — proof in numbers