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ScaleCloud
Performance optimization practice

Optimize for speed & scale

ScaleCloud's performance optimization practice tunes applications, databases, and infrastructure for speed — with profiling, load testing, caching, and query optimization that reduce latency by 60% and improve throughput by 10×.

60%
Latency cut
10×
Throughput
P99
Target
14 days
First baseline
Profiling Load Testing Caching Query Optimization CDN Auto-scaling Connection Pooling Latency Tuning
Low Latency

P99 under target, every time.

High Throughput

10× more requests per second.

Profiling

Find the bottleneck, fix it.

Load Tested

Tested at peak, proven at scale.

Low latency
High throughput
Profiling
Load tested
Performance Control Plane
LIVE
6.11%
P99 Latency
2%
Throughput
0.1K
Error Rate
Request Rate +24%
Delivery Pipeline
Profile
Optimize
Test
Deploy
Live Activity
24/7
latency improved throughput up bottleneck found load test passed latency improved throughput up bottleneck found load test passed
P99 latency improved — 220ms → 85ms, 61% cut1m
throughput up — 2K → 20K req/s, 10×4m
bottleneck found — DB query, N+1, optimized8m
load test passed — 20K req/s, P99 85ms, 0 errors12m
P99
85ms
Latency
Throughput
20K
Req/s
Error Rate
0.01%
Errors
Optimizations
42
Applied
Improvement
61%
Latency cut
Scale
10×
Throughput
Region Health
3/3 OK
checkout-api85ms
payments-svc120ms
inventory-svc95ms
1 · Full-Lifecycle Performance Expertise

Full-lifecycle performance optimization expertise

From baseline to continuous tuning — select a lifecycle stage to see the focus areas, deliverables, and tooling we bring.

Stage 1 of 6Baseline
Stage 1

Profile

Baseline

Profile applications with APM, traces, and flame graphs to find bottlenecks.

Focus areas
  • Profiling
  • APM
  • Flame graphs
Deliverables
  • Profile report
  • Bottleneck map
  • Baseline
Tooling
APMFlamegraphProfiling
2 · ScaleCloud Performance Optimization Services

Ten services across the performance lifecycle

A complete performance optimization practice — select a service to explore the outcomes and where it fits.

Application Profiling & APM

Profile applications with APM, traces, and flame graphs to find bottlenecks.

Baseline
What you get
  • Profiling
  • APM
  • Flame
Explore capability
3 · Performance Ecosystem

Depth across every performance domain

We deliver across the full performance portfolio — select a domain to see what it covers and where it fits best.

Profiling

6 services

APM, traces, and flame graphs for bottleneck identification.

Services we deliver
APM Distributed traces Flame graphs CPU profiling Memory profiling GC analysis
4 · Enterprise Performance Reference Architecture

A performance-optimized architecture

Profiling, database, cache, scale, testing, and monitoring layers. Select a layer to explore its components and design principles.

Architecture Layers

Database Layer

N+1 fixed

Query, index, and schema optimization.

Components
Query optIndex tuningSchemaPoolingPartitioningRead replica
Design principles
  • Optimized
  • Indexed
  • Pooled
5–7 · Profile, Tune & Test

How we deliver performance optimization

Select a track to explore our approach — profiling, tuning, and load testing.

Delivery tracks

Profiling & Baseline

Baseline

Profile applications with APM, traces, and flame graphs to find bottlenecks.

What's included
  • APM instrumentation
  • Distributed trace analysis
  • Flame graph generation
  • CPU profiling
  • Memory profiling
  • GC analysis
  • Bottleneck identification
  • Baseline metrics
Tooling
APMFlamegraphJaegerProfiling
Outcomes
Baseline Bottleneck map Profile report
8–11 · Performance Capability Depth

Performance optimization capability depth

Seven capability areas with detailed features — select an area to explore each component and what it delivers.

Profiling

APM & flame graphs.

APM
  • APM
    App performance
  • Traces
    Distributed traces
  • Spans
    Span analysis
Profiling
  • CPU
    CPU profile
  • Memory
    Memory profile
  • GC
    GC analysis
Flame
  • Flame Graph
    Call stack
  • Hotspot
    Hotspot ID
  • Allocation
    Allocation profile
12 · Assessments to Get Started

Start with a focused performance assessment

Three assessments that turn performance ambition into a tuned plan.

Performance Baseline Assessment

Profile applications, find bottlenecks, and baseline P99/throughput.

Duration: 2–3 weeksRequest Assessment

Database Performance Assessment

Assess query performance, index health, and schema optimization.

Duration: 1–2 weeksRequest Assessment

Load Testing Assessment

Assess load testing readiness, peak capacity, and scaling limits.

Duration: 1 weekRequest Assessment
13 · Performance Outcomes

Outcomes our performance engagements deliver

60% Latency Cut

Profiling, query optimization, caching, and tuning that reduce P99 latency by 60% — from 220ms to 85ms.

10× Throughput

Auto-scaling, horizontal scaling, and connection pooling that improve throughput by 10× — from 2K to 20K req/s.

Load Tested at Peak

Load testing at peak traffic that validates performance, finds limits, and proves the system handles the load.

14 · Continue Across the Performance Ecosystem

Continue across the performance ecosystem

Explore related services — select one to see its strengths and where it fits.

SRE & Observability

SLOs and performance monitoring.

Key strengths
  • SLOs
  • P99
  • Monitoring
Explore
15 · Insights From Our Performance Engineers

Insights from our performance engineers

Field-tested perspectives on profiling, caching, and load testing — with author and read time.

Latency

Cutting P99 Latency by 60%

How profiling, query optimization, and caching took P99 from 220ms to 85ms.

Performance Practice 9 min read
Read insight
Caching

Caching Strategy That Works

Redis, CDN, and application caching for 90% hit rate and 10× throughput.

Performance Team 8 min read
Read insight
Database

Killing the N+1 Query Problem

Identifying and eliminating N+1 queries for dramatic database performance gains.

Performance Team 7 min read
Read insight
Load Test

Load Testing at Scale

Designing load tests that simulate peak traffic and find real performance limits.

Performance Team 8 min read
Read insight
Scaling

Auto-Scaling for 10× Traffic

KEDA, HPA, and horizontal scaling that handle 10× traffic spikes without latency spikes.

Performance Team 6 min read
Read insight
16 · Frequently Asked Questions

Answers to common performance questions

Performance optimization is the practice of tuning applications, databases, and infrastructure for speed — profiling to find bottlenecks, optimizing queries and caching, load testing at peak, and monitoring P99 latency with SLOs.

Performance Readiness Score

Your performance optimization readiness at a glance

33%
2 of 6 steps done
Ready to accelerate
Baseline Profiled
Bottlenecks Found
Caching Active
Load Tested
P99 SLO Met
Regression Detection
  • Free 30-minute consultation
  • 14-day first baseline
  • NDA available on request
  • No obligation, no pressure
Speak with a Performance Engineer
Performance engineers available now

Ready to optimize for speed & scale?

Book a consultation with our performance engineers and implement profiling, query optimization, caching, auto-scaling, and load testing for 60% latency cut and 10× throughput.

60%
Latency cut
10×
Throughput
85ms
P99
Load
Tested
Free 30-min consultation 14-day first baseline NDA on request

Optimize applications, databases, and infrastructure with profiling, query optimization, caching, auto-scaling, and load testing for 60% latency cut and 10× throughput.

Profile
Tune
Scale
Test
Book a Consultation

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