
Targeted API performance fixes for Django REST and FastAPI with measurable speed improvements.
See How We Build for Complex BusinessesA 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.
We usually work best with teams who know building software is more than just shipping code.
Startups scaling backend traffic
SaaS platforms experiencing slow endpoints
Mobile-first applications with API latency issues
Teams using Django REST Framework or FastAPI
Projects without measurable performance issues
Static websites without API workloads
Teams planning full backend rewrites
Applications not using Python-based API frameworks
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.
Scaling servers without profiling
Adding caching without bottleneck analysis
Ignoring database query optimisation
Treating performance as an infrastructure-only issue
Persistent high latency
Rising infrastructure costs
Unstable performance during peak traffic
Poor user experience and churn
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Endpoint-level latency analysis, query profiling, and infrastructure review.
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Indexing, query restructuring, and elimination of N+1 patterns.
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Reduce over-fetching and optimise data serialization.
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Refactor blocking operations and enforce non-blocking I/O.
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Redis-based caching and task offloading for heavy operations.
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Before-and-after performance benchmarks and load stability testing.
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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.
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.
PySquad works with businesses that have outgrown simple tools. We design and build digital operations systems for marketplace, marina, logistics, aviation, ERP-driven, and regulated environments where clarity, control, and long-term stability matter.
Our focus is simple: make complex operations easier to manage, more reliable to run, and strong enough to scale.
Integrated platforms and engineering capabilities aligned with this business area.
Share your details with us, and our team will get in touch within 24 hours to discuss your project and guide you through the next steps