⚡ Improve Application Performance — Make Every Millisecond Count
We diagnose bottlenecks across your stack — frontend, backend, databases, CI/CD, and cloud — and deliver measurable speedups that your users and finance team can feel.
Start ProjectTypical Outcomes
- 50–90% faster critical user journeys
- 2–5× throughput under peak load
- 30–60% fewer incidents
- 20–40% lower cloud spend
Why Performance Matters
Slow software costs real money
Slow software costs real money: lost conversions, higher churn, and bloated infrastructure to brute-force scale. We help you ship faster apps with leaner resources — without risky rewrites.
Typical Outcomes
Faster Journeys
Improvement in TTFB, LCP, and API P95 latency
More Throughput
Peak load capacity with same hardware
Fewer Incidents
Via stability and SLO-based engineering
Lower Costs
Cloud spend reduction as efficiency side effect
What We Improve
End-to-end performance optimization across your entire stack
Frontend & UX Speed
Lighthouse, Web Vitals (LCP/CLS/INP) and bundle analysis. Code-splitting, route prefetching, image/asset strategy (next-gen formats, CDN). Caching headers, HTTP/2/3, compression, edge rendering (SSR/ISR).
Backend & API Throughput
Hot-path profiling, async/concurrency model tuning. I/O vs CPU balance, connection pooling, thread/event loops. Queue design, rate limiting, circuit breakers, bulkheads.
Database & Storage
Query plans, indexes, partitioning, connection strategies. Caching layers (Redis/Memcached), read replicas, CQRS patterns. Migration strategies for heavy tables and online schema changes.
Infrastructure & Runtime
Right-sizing, autoscaling signals, container density. Cold-start mitigation, JIT/GC tuning, runtime flags. Network path, latency budgets, N+1 service calls.
CI/CD & Dev Loop
Build times, test flakiness, parallelization, artifact caching. Trunk-based development and preview environments. Release strategies (blue/green, canary, feature flags).
Observability & SLOs
APM setup (tracing/metrics/logs), RED/USE dashboards. Error budgets and performance SLOs tied to business KPIs. Alerting that's actionable (not noisy).
How We Work
Our proven methodology for performance improvement
Assess
Install lightweight profiling/observability, capture baselines (Web Vitals, P50/P95/P99, throughput)
Find Bottlenecks
Trace critical paths end-to-end; identify 3–5 high-leverage fixes
Plan
Prioritized action list with expected gains, effort, and risk per item
Implement
Pair with your team or deliver turnkey improvements (code, infra, config)
Prove & Transfer
Re-measure, document changes, hand over dashboards/runbooks and SLOs
Where We Start (Fast Wins)
High-impact optimizations we typically implement first
CDN + Cache Strategy
Static + API caching for immediate speed gains
Image Policy
Formats, sizes, lazy/load priority optimization
N+1 Query Elimination
Key indexes and query optimization
Hot Endpoint Refactor
Streaming, pagination, batching improvements
Build Pipeline
Caching + test parallelization
Sample Results (Illustrative)
Real improvements from similar engagements
API P95
after batching + caching
Checkout LCP
via image policy + code-split
Throughput
after DB index & pool tuning
Build Time
using remote cache + parallel tests
Why SweetSoft
Your trusted partner in performance optimization
Engineers First, Slides Second
We profile, change code, and prove gains — not just present recommendations.
Pragmatic Over Dogmatic
Smallest change that delivers the biggest impact.
Vendor-Neutral
We optimize your stack; no license upsells.
Privacy-First
Local-first analysis options and minimal data exposure.
Engagement Options
Flexible ways to work with us
Performance Audit (2–3 weeks)
Baseline, hotspots, prioritized plan, quick wins.
Implementation Sprint (2–6 weeks)
We execute the top items with your team.
SLO & Observability Setup
Dashboards, alerts, runbooks, and training.
Ongoing Performance Guardrails
Monthly reviews, regression watch, change advisory.
What You'll Receive
Comprehensive deliverables for lasting performance
- Baseline vs. post-improvement metrics (dashboards + report)
- Code diffs and infra changes with clear rollback paths
- SLO definitions tied to business KPIs
- Playbooks for keeping performance gains over time
Frequently Asked Questions
Common questions about performance optimization
Do we need a full rewrite?
Usually not. Most gains come from targeted fixes to queries, caching, payloads, and a few hotspot refactors.
Will this disrupt our roadmap?
We aim for low-risk, incremental changes and can work in parallel with your sprints.
What stacks do you support?
Modern web stacks (Node/TS, Go, Python, Java/Kotlin, .NET), major databases, and popular clouds (AWS/GCP/Azure), plus edge/CDN.
How do you measure success?
Pre/post metrics for Web Vitals, latency percentiles, throughput, error rates, and infra cost. If it doesn't move a KPI, it's not done.
READY TO MAKE IT FAST?
Your users notice speed. Your margin does, too. Let's ship a faster experience — and keep it that way.