How We Helped PancakeSwap Slash Cloud Costs by 70% and Handle 100,000 RPS
Meet PancakeSwap
PancakeSwap is a decentralized exchange (DEX) launched on Binance Smart Chain in September 2020.
The platform quickly became one of the leading DEXes, boasting 2M+ monthly active users thanks to:
?? Low fees and swift transaction execution
?? A user-friendly interface
?? Aggressive marketing and community engagement
?? Strong customer-centric support
But scaling that success came with serious infrastructure challenges.
?? The Problem: High Costs, Latency Spikes & Unreliable Scaling
PancakeSwap was burning through $200K/month on cloud infrastructure while still facing scalability bottlenecks:
? Overprovisioning was out of control.
Manual scaling and basic autoscalers meant paying for resources that sat idle 90% of the time.
? Latency spikes were killing user experience.
Transaction execution times could jump past 3 seconds, making trading unreliable.
? Public blockchain endpoints weren’t stable.
Users were constantly facing errors while trying to send transactions, damaging trust in the platform.
PancakeSwap’s infrastructure was built to handle large volumes, but not in an efficient or cost-effective way.
For a trading platform, these weren’t just technical problems—they were reputation and revenue killers.
PancakeSwap needed a smarter, AI-driven infrastructure strategy—one that would:
? Scale resources before traffic surges, not after.
? Optimize cloud costs without compromising performance.
? Guarantee 99.9% uptime, no matter how intense the load.
That’s where Dysnix stepped in.
?? The Solution: AI-Powered Autoscaling + Infrastructure Optimization
Dysnix completely transformed PancakeSwap’s infrastructure with a multi-layered, AI-driven approach:
PredictKube – AI-Powered Autoscaler
(Dysnix’s own solution, later spun off as a standalone product.)
Traffic Prediction Before Spikes Happen
?? Uses historical data + real-time business metrics to forecast demand.
?? Preemptively allocates resources before a surge, instead of reacting too late.
Continuous Cluster Optimization
?? Dynamically adjusts server capacity to match real-time traffic.
?? Prevents resource wastage by scaling down efficiently when demand drops.
Smart Instance Selection
?? Automatically selects the most cost-effective node types based on workload.
领英推荐
?? Ensures high-speed transaction processing at minimal cloud costs.
Blockchain Nodes Cluster
?? Geo-distributed and self-hosted, reducing reliance on unstable public endpoints.
?? Faster, more secure blockchain connections.
JSON RPC Caching Proxy
?? Accelerated blockchain queries, reducing node load and cutting response times.
Auto Node Rotation
?? Ensured all nodes stayed healthy, automatically replacing underperforming ones.
This wasn’t just about adding more servers—it was about making the infrastructure work smarter.
?? The Results: Faster, Cheaper, and Always Available
After implementing PredictKube and our custom infrastructure stack, PancakeSwap achieved:
? Infrastructure costs reduced by 70% – No more wasted resources.
? Peak response time slashed by 62.5x – From ~3270ms → ~80ms.
? 158 billion requests handled per month – Without a single failure.
? 99.9% uptime – Even during token launches and IFOs.
PancakeSwap went from struggling to keep up with demand to having one of the most efficient and scalable infrastructures in the DeFi space.
?? Even Google Recognized the Impact
Google Cloud featured PredictKube in their case study, highlighting its ability to:
“PredictKube accurately predicted more than 90% of traffic spikes on PancakeSwap, automating scaling ahead of time. This resulted in over 70% cost savings and slashed peak response times by 62.5x.” — Google Cloud Platform (GCP)
?? The Takeaway: Why This Matters for Every High-Traffic Platform
Scaling challenges aren’t just a Web3 problem—they affect any business dealing with unpredictable traffic spikes:
?? AI startups struggling with GPU-intensive workloads and high-demand training models.
?? Fintech & trading platforms where milliseconds make or break transactions.
?? E-commerce & SaaS businesses that experience traffic surges during product launches & sales events.
The reality? Most companies scale the wrong way.
If your infrastructure only reacts to demand surges, it’s already too late.
? AI-driven autoscaling ensures you’re ready before demand spikes.
? Cost-optimized cloud resources save millions in waste.
? Self-healing infrastructure guarantees uptime and seamless performance.
?? The Future Belongs to Those Who Scale Smarter
The companies that solve these problems now will outperform everyone else later.
The question is simple: Is your infrastructure scaling as fast as your users?
If not, let’s fix it.