Enrico Bruschini

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machine learning artificial intelligence performance tuning optimization performance management devops aidevops it automation it cost optimization autotuning it operations performance testing moviri application performance management capacity planning dynamic optimization digital monitoring service assurance it service management test fullstack goaldriven software development autonomous optimization ai-powered optimization cloud cost reduction application performance kubernetes optimization live application tuning offline performance testing full-stack application configuration reliability optimization reinforcement learning cloud instance optimization application-aware optimization jvm tuning node.js optimization resource allocation microservices resilience big data performance spark job automation cost-efficiency real-time application insights devops automation sre tools finops support performance engineering k8s pod resource optimization hpa scaling telemetry data configuration management observability tools qa automation risk management load testing automation data-driven decision making cloud-native optimization ci/cd integration application runtime settings carbon footprint reduction application health monitoring it operations optimization distributed application management cost monitoring efficiency analysis configuration tuning kubernetes infrastructure management team productivity enhancement performance diagnostics observability analysis end-to-end application performance user-defined optimization goals information technology & services