
Smart, business-aware rate limiting for high-traffic APIs built with Django REST or FastAPI.
See How We Build for Complex BusinessesAPIs are the backbone of modern platforms, but uncontrolled traffic can quickly degrade performance and reliability. Abusive clients, buggy integrations, scraping bots, or sudden traffic spikes can overwhelm even well-architected systems. A robust rate limiting and throttling layer ensures fair usage, protects backend resources, and keeps APIs responsive under real-world load.
We usually work best with teams who know building software is more than just shipping code.
Teams operating public or partner APIs
SaaS platforms with tiered API plans
Products experiencing high or unpredictable traffic
Engineering teams protecting backend services
Internal-only APIs with controlled usage
Low-traffic or prototype systems
Projects without Redis or distributed infrastructure
Teams avoiding usage governance
Many teams launch APIs without proper rate controls, assuming infrastructure will scale automatically. As usage increases, a single client can consume disproportionate resources, attacks go undetected, and response times degrade for legitimate users. Without visibility into usage patterns and flexible throttling rules, teams face outages, unpredictable costs, and frustrated customers. The challenge is not limiting traffic, but limiting it intelligently.
Relying on default framework throttling
No distinction between trusted and abusive clients
Static limits applied uniformly
Lack of monitoring or visibility
API abuse and service degradation
Poor experience for legitimate users
Unpredictable infrastructure costs
No insight into usage or misconfiguration
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Redis-backed counters for consistent limits across services.
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Per-user, per-IP, per-token, and per-endpoint limits.
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Token bucket and sliding window algorithms.
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Different limits for free, paid, and trusted clients.
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Custom throttles for Django REST and middleware for FastAPI.
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Rate headers, usage dashboards, and abuse alerts.
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We design rate limiting systems around real usage patterns and business rules. Our implementations combine distributed technical controls with tier-aware logic so APIs stay fast, fair, and predictable as traffic grows.
Yes, limits can be dynamically configured.
Yes, Redis-backed limits work across instances.
No, when implemented correctly it improves stability.
Yes, dynamic configuration is supported.
Yes, usage visibility is part of the solution.
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