Feb 27
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Join us as we explore how to build a FinOps agent that automates cloud cost optimization and brings observability practices into your financial operations. We'll walk through the practical steps of creating an AI-powered agent that monitors your AWS spending, identifies optimization opportunities, and provides actionable recommendations to reduce costs while maintaining performance. This hands-on session demonstrates how to leverage AI to bridge the gap between FinOps and observability, enabling your team to proactively manage cloud costs rather than reactively responding to budget overruns. You'll see real console interactions as we build the agent, configure cost anomaly detection, set up automated alerts, and integrate financial metrics with operational observability data to create a comprehensive view of your cloud environment's efficiency. What we'll cover: Step-by-step guide to building a FinOps agent from scratch Integrating cost data with observability metrics Automating cost anomaly detection and alerting Practical optimization recommendations powered by AI Real-world use cases and implementation patterns Best practices for FinOps automation at scale Perfect for: FinOps practitioners, cloud architects, DevOps engineers, platform engineers, and anyone responsible for cloud cost management and optimization. Don't forget to subscribe for more practical AI and cloud optimization content! #FinOps #CloudCostOptimization #AWS #AI #ArtificialIntelligence #CloudComputing #CostManagement #DevOps #Observability #CloudFinOps #AIAgents #Automation #CloudArchitecture #AWSCost #TechTutorial