Advanced indexing optimisation techniques for real mainnets: pipeline design, parallelism, batching, and storage strategy. Based on experience resolving critical bottlenecks in BSC-style indexers.
Designing multi-layer caching for blockchain systems, covering Redis, in-process caches, and practical invalidation strategies that respect on-chain truth.
Scaling blockchain infrastructure, covering load balancer configuration, stateless service design, and database read replicas.
JVM tuning for high-throughput blockchain services, covering garbage collection, heap sizing, and profiling with JFR and VisualVM.
Implementing async processing for blockchain data, covering message queues, worker pools, and backpressure handling.
TDD practices for blockchain development, covering property-based testing, mutation testing, and formal verification approaches.
Comprehensive integration testing strategies, covering Docker-based testing, database fixtures, and blockchain node mocking.
Implementing consumer-driven contract testing for blockchain microservices, covering Pact framework and API compatibility verification.
Load testing blockchain services, covering Gatling scenarios, performance benchmarking, and identifying bottlenecks.
Building resilient blockchain systems through chaos engineering, covering failure injection, recovery testing, and disaster recovery planning.
Building automated deployment pipelines, covering GitHub Actions, Docker builds, and blue-green deployments for blockchain services.
Comprehensive monitoring strategies, covering Prometheus metrics, Grafana dashboards, and alerting for blockchain infrastructure.
Deploying blockchain applications on Kubernetes, covering StatefulSets, persistent volumes, and service mesh integration. Based on Google Cloud deployment experience.
Implementing backup and recovery procedures, covering database backups, blockchain data replication, and recovery time objectives.
Comprehensive security checklist for production deployments, covering network security, secrets management, and compliance requirements.
Exploring blockchain applications in scientific data management, covering immutable research data, provenance tracking, and reproducibility. Based on RNA-seq platform development experience.
Integrating scientific computing with modern web applications, covering R integration, statistical visualization, and enterprise data platforms. Based on enterprise scientific data-platform experience.
Applying ML techniques to blockchain data, covering anomaly detection, transaction classification, and predictive analytics for network behavior.
Navigating regulatory requirements for blockchain services, covering AML/KYC, data privacy (GDPR), and audit trail requirements for financial institutions.
Exploring emerging interoperability solutions, covering IBC evolution, cross-chain messaging protocols, and the future of multi-chain ecosystems.