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Comprehensive Performance Audit
Endpoint-level latency analysis, query profiling, and infrastructure review.
“Our API Is Slow” – Performance Fix & Optimization Solutions (Django REST / FastAPI)
Targeted API performance fixes for Django REST and FastAPI with measurable speed improvements.
Context
A slow API is not just a backend inconvenience. It directly affects user experience, mobile responsiveness, dashboard reliability, and system integrations. As traffic grows and features expand, many APIs begin to degrade in performance. In most cases, the solution is not a complete rewrite. It is a structured performance audit followed by precise optimisations that remove bottlenecks and stabilise the system under load.
Who this is for
We usually work best with teams who know building software is more than just shipping code.
This is for teams who
Startups scaling backend traffic
SaaS platforms experiencing slow endpoints
Mobile-first applications with API latency issues
Teams using Django REST Framework or FastAPI
This may not fit for
Projects without measurable performance issues
Static websites without API workloads
Teams planning full backend rewrites
Applications not using Python-based API frameworks
Problem framing
The operating reality
APIs become slow when bottlenecks accumulate without visibility.
High response times, random timeouts, and database spikes often appear after new features are added. N+1 queries, inefficient serializers, blocking I/O, or missing indexes slowly reduce system performance. Teams may attempt infrastructure scaling without addressing the root cause. Without diagnostics and targeted fixes, performance issues persist, infrastructure costs increase, and user trust declines.
How this is usually solved (and why it breaks)
Common approaches
Scaling servers without profiling
Adding caching without bottleneck analysis
Ignoring database query optimisation
Treating performance as an infrastructure-only issue
Where these approaches fall short
Persistent high latency
Rising infrastructure costs
Unstable performance during peak traffic
Poor user experience and churn
Delivery scope
Core capabilities we implement
Structured building blocks we use to de-risk delivery and keep enterprise programs predictable.
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Database and Query Optimisation
Indexing, query restructuring, and elimination of N+1 patterns.
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Serializer and Payload Tuning
Reduce over-fetching and optimise data serialization.
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Async and Concurrency Improvements
Refactor blocking operations and enforce non-blocking I/O.
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Caching and Background Processing
Redis-based caching and task offloading for heavy operations.
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Benchmarking and Load Validation
Before-and-after performance benchmarks and load stability testing.
How we approach delivery
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Profile endpoints and measure real latency
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Identify root bottlenecks across layers
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Apply targeted code and configuration fixes
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Validate improvements with measurable benchmarks
Engineering standards at PySquad
We approach API optimisation as a structured engineering process. First, we measure. Then we isolate bottlenecks. Finally, we apply focused improvements across queries, serialization, async handling, caching, and infrastructure tuning. The result is measurable performance gain without unnecessary rewrites.
Expected outcomes
Measurable results teams plan for when we ship the full stack, integrations, and governance together.
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2x to 10x faster API response times
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Reduced timeouts and error rates
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Lower database and infrastructure load
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Improved frontend and mobile experience
Make your API fast again.
Share scope, constraints, and timelines. We respond with a clear delivery approach, not a generic pitch deck.
Start the conversationFrequently asked questions
Straight answers procurement and engineering teams ask before a build kicks off.
No, most performance issues can be fixed without rewrites.
Often within days for common bottlenecks.
Yes, we work safely on production-grade APIs.
Yes, performance and stability are improved together.
Yes, benchmarks are part of the delivery.
About PySquad
Short answers if you are deciding who builds and supports this kind of work.
- What is PySquad?
- We are a software engineering team. PySquad works with people who run complex operations and need tools that fit how they work, not software that forces them to change everything overnight.
- What do you get from us on a project like this?
- Discovery, build, integrations, testing, release, and follow up when real users are in the product. You talk to engineers and leads who own the outcome, not a rotating cast of handoffs.
- Who do we work with most often?
- Teams in logistics, marketplaces, marina, aviation, fintech, healthcare, manufacturing, and other fields where downtime hurts and clarity matters. If that sounds like your world, we are easy to talk to.
Related solutions
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happy clients50+
Projects Delivered20+
Client Satisfaction98%