Peanut x Dysnix Case Study

Cost-efficient auto-scaling K8s infrastructure delivered in 3 weeks.

Meet Peanut


Peanut Trade is a leading DeFi and market-making platform that specializes in advanced price balancing and liquidity optimization for decentralized exchanges. Their core product is a set of smart contracts that automatically balance prices after each trade, helping liquidity providers earn more and significantly reduce slippage—without manual intervention.

The platform also offers high-frequency trading, MEV strategies, and full-cycle token launch management, supporting over 1,000 successful token launches.

Main pain points / challenges

  • Custom infrastructure
  • Sensitive data protection
  • Guaranteed high availability

Issues we solved

Task
Backend lacked a scalable foundation
Manual scaling led to unpredictable costs
Security and uptime were concerns
No way to test or monitor real-world performance
Results
Production-ready, multi-cluster Kubernetes infrastructure on GCP launched in 3 weeks
Custom auto-scaling based on real trading metrics
Hardened, multi-region architecture with secure connections and 24/7 monitoring
Automated load testing and business-metric-based monitoring for actionable insights

Case summary

Dysnix enabled Peanut to leap from concept to enterprise-grade infrastructure just ahead of their product launch. In three weeks, we architected and deployed a resilient, cloud-native Kubernetes environment on GCP, leveraging infrastructure as code, business-driven auto-scaling, and advanced monitoring. This migration from on-premise to cloud not only slashed operational costs but unlocked true scalability and reliability, empowering Peanut to innovate and scale confidently in a dynamic DeFi market.

Solutions implemented by Dysnix

Production-ready Kubernetes clusters
Multi-zone, multi-cluster setup in GCP, designed for high availability and seamless scaling.
Secure, compliant architecture
Hardened network and access controls, encrypted connections, and best-practice security at every layer.
Custom autoscaling
Scaling logic based on Peanut’s real business and trading metrics, not just server load, for true cost efficiency.
Infrastructure as Code
Automated deployment and updates, making the infrastructure reproducible and easy to manage.
Automated load testing
Simulated real-world trading activity to ensure the system could handle peak loads before launch.
24/7 monitoring and alerting
Business-metric-based dashboards and alerts, so the Peanut team always knows their system’s health.
DevOps consulting
Design sessions with Dysnix's Architects and Team Leads.
Daniel Yavorovych
Co-Founder & CTO
Kickstart and fully optimize your Web3 project with Dysnix as the infrastructure backbone