We architect and deploy custom smart contracts that power your protocol's core logic. Our engineers specialize in Solidity, Rust (Solana), and Move (Aptos/Sui) to deliver audit-ready code from day one.
Decentralized Cache Layer Implementation
Smart Contract Development
Secure, production-ready smart contracts built by Web3-native engineers.
- Security-First Development: All code follows
OpenZeppelinstandards and undergoes internal review before delivery. - Gas Optimization: Contracts are engineered for minimum transaction costs and maximum user savings.
- Full-Stack Integration: We ensure seamless interaction with your frontend and backend, including event indexing and wallet connectivity.
Deliver a secure, scalable foundation for your dApp with a 2-4 week MVP timeline and a clear path to mainnet launch.
Core Components of Our Cache Layer Implementation
Our decentralized cache layer is engineered for performance and resilience, delivering sub-second data access and 99.9% uptime for your Web3 application. Each component is built to scale with your user base and transaction volume.
Multi-Protocol Node Orchestration
We deploy and manage a distributed network of cache nodes across EVM and non-EVM chains (Ethereum, Polygon, Solana, etc.), automatically routing requests to the fastest available endpoint. This eliminates single points of failure and reduces latency.
Intelligent Cache Invalidation
Our system uses a hybrid approach of block-based and event-driven invalidation to ensure data freshness. Smart contract events trigger immediate cache updates, while fallback mechanisms prevent stale data, guaranteeing accuracy for on-chain state.
Gas-Optimized Indexing Engine
We build custom indexers that process on-chain data with minimal RPC calls, significantly reducing your infrastructure costs. The engine supports complex queries for NFTs, DeFi positions, and transaction history without hitting public nodes.
Enterprise-Grade Security & Isolation
Each client's cache layer runs in a dedicated, isolated environment with encrypted data at rest and in transit. Our infrastructure undergoes regular security audits and adheres to SOC 2 Type II compliance standards.
Global CDN Integration
Cached data is distributed globally via a high-performance CDN, ensuring low-latency access for your users worldwide. We manage geo-replication and automatic failover to maintain consistent performance.
Real-Time Analytics & Monitoring
Gain full visibility with dashboards tracking cache hit rates, latency percentiles, node health, and cost metrics. Set custom alerts for performance degradation or data consistency issues.
Business Outcomes: Performance Meets Economics
Our decentralized cache layer delivers measurable improvements in application performance and operational costs. Here’s what you can expect when you partner with us.
Sub-Second Data Finality
Achieve near-instantaneous data availability for your dApp users. We architect cache layers that reduce read latency from mainnet RPC calls by over 90%, eliminating UI lag and improving user retention.
Predictable, Reduced Infrastructure Costs
Slash your monthly RPC and indexing bills. Our decentralized caching strategy offloads 80-95% of read requests from expensive primary infrastructure, providing linear cost savings as your user base scales.
Enterprise-Grade Reliability & Uptime
Built on a fault-tolerant, geographically distributed node network. We guarantee data consistency and availability, backed by enforceable SLAs, so your application never misses a beat.
Accelerated Time-to-Market
Go from concept to production in weeks, not months. We provide a fully managed service—from architecture design to deployment and monitoring—freeing your team to focus on core product logic.
Future-Proof Architecture
Designed for the multi-chain ecosystem. Our cache layer seamlessly supports Ethereum, Polygon, Arbitrum, Optimism, and other EVM chains, with a modular design for easy L2 and new chain integration.
Decentralized Cache vs. Traditional Approaches
A technical and economic comparison of implementing a high-performance data layer for your Web3 application.
| Key Factor | In-House Development | Managed Cloud Service | Chainscore Decentralized Cache |
|---|---|---|---|
Time to Production | 6-12 months | 2-4 months | 4-8 weeks |
Architecture Complexity | High (orchestrate nodes, consensus) | Medium (vendor API integration) | Low (single SDK integration) |
Data Consistency Guarantee | Your responsibility | Eventual | Strong (cryptographically verified) |
Geographic Latency | Variable (your node locations) | ~50-200ms (vendor PoPs) | < 50ms (global P2P network) |
Censorship Resistance | Possible | No (centralized vendor) | Yes (decentralized operator set) |
Upfront Development Cost | $250K - $750K+ | $50K - $150K | $25K - $100K |
Annual Operational Cost | $100K - $300K (devops, infra) | $60K - $200K (subscription fees) | $40K - $120K (SLA + incentives) |
Primary Risk | Security flaws, team attrition | Vendor lock-in, API changes | Minimal (open protocol, portable) |
Our Implementation Process: From Architecture to Go-Live
A structured, transparent 4-phase framework designed for technical leaders. We deliver a production-ready decentralized cache layer with clear milestones, defined SLAs, and zero operational surprises.
Phase 1: Architecture & Design
We conduct a deep technical assessment of your data access patterns and RPC load. The deliverable is a signed Architecture Specification Document detailing node topology, caching strategy (Redis/Memcached), and integration points with your existing stack.
Phase 2: Core Infrastructure Deployment
Our team provisions and configures the caching cluster (Redis Enterprise or Valkey), load balancers, and monitoring stack (Prometheus/Grafana). We implement the initial caching logic based on the approved design, ensuring data consistency and fault tolerance.
Phase 3: Integration & Validation
We integrate the cache layer with your application's RPC calls and smart contracts. This phase includes comprehensive load testing (simulating 10k+ RPS), security review of the caching logic, and performance benchmarking against baseline metrics.
Phase 4: Production Go-Live & Handover
We manage the phased traffic cutover with rollback procedures. You receive complete documentation, operational runbooks, and 30 days of post-launch support. We ensure your team is fully trained on monitoring dashboards and incident response protocols.
Typical 6-8 Week Implementation Timeline
A structured, milestone-driven approach to deploying a production-ready decentralized cache layer, from initial architecture to full operational handover.
| Phase & Key Activities | Week 1-2 | Week 3-4 | Week 5-6 | Week 7-8 |
|---|---|---|---|---|
Architecture & Design | Requirements analysis, network topology design, node selection | Smart contract architecture, data schema finalization | ||
Core Development | Base caching layer implementation (Redis/Memcached) | On-chain data indexer & listener service development | Cache invalidation logic & state synchronization | |
Integration & Testing | Initial integration with client dApp/backend | Load testing, security review, edge case handling | Staging environment deployment & final QA | |
Deployment & Go-Live | Production infrastructure provisioning | Mainnet deployment, monitoring setup, team training | ||
Post-Launch Support | 30-day included support & performance tuning |
Decentralized Cache Layer: Frequently Asked Questions
Get clear answers on our process, timeline, security, and support for implementing a high-performance decentralized cache layer for your Web3 application.
Standard deployments are completed in 2-4 weeks. This includes architecture design, smart contract development, off-chain service integration, and initial load testing. Complex multi-chain or high-frequency trading (HFT) applications may extend to 6-8 weeks. We provide a detailed project plan with weekly milestones after the initial discovery call.
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