CloudTech Talks

Catch up with the Part 2 of disucssion with Rishi Ghai, Google.You'll hear the answers for,How can we overcome the cost impact of multi-region, cross-region egress costs?What should we watch out for regarding GKE Autoscaling?Your take on the secret cost of Managed Services – Best ways to reduce the hidden cost?How can we easily track and visualize our most heavily utilized GCP resources across the entire organization?Dont miss the quick rapid-fire session towards the end!

Catch up with Rishi Ghai, FinOps Lead, GSD, Google Cloud Consulting, on this episode. Some of the key topics discussed are,Native GCP Capabilities: What are the latest built-in GCP FinOps features every team should know about and configure immediately?FinOps for Agentic AI: What features GCP is coming up with on this area?Tokenomics in Practice: Beyond the buzzword, what is the go-to strategy to monitor, optimize, and control LLM token spend?The Biggest Bill Drivers: Which GCP services sneakily drive up costs the fastest—and what are the quickest ways to cut them down?CUD Strategy: When should you lock into Resource-based CUDs versus Spend-based CUDs to maximize discounts without painful lock-in?De-risking Spot VMs: How can engineering teams capture up to 91% savings on Spot VMs without suffering from downtime and preemption?

What happens when you take the financial discipline of Cloud FinOps and expand it across the entire enterprise technology portfolio? In this episode, we sit down with Vineet to explore the evolution of Enterprise FinOps—a strategic framework that bridges the gap between technology investments and measurable business outcomes.Vineet breaks down core frameworks from his book.In this episode, we discuss:Enterprise vs. Traditional Cloud FinOps: Why managing public cloud bills is only the tip of the iceberg, and how Enterprise FinOps expands across the full IT spectrum.The RTI 360 Model: Structuring total technology spend across Run, Transform, and Innovate to balance operational maintenance with disruptive growth.Taming SaaS and Licensing Creep: Strategies to bring decentralized SaaS subscriptions, vendor platforms, and software licensing under cohesive governance.FinOps in the On-Premises Data Center: Practical ways to apply cloud-native financial accountability and unit economics to legacy infrastructure.Labor and Outsourcing Optimization: Extending FinOps rigor to third-party services, vendor contracts, and staff augmentation.CFO-CIO Business Alignment: Breaking open the IT "black box" to build shared financial language, governance, and executive trust.The "IT Value Delivered" (IVD) KPI: A deep dive into Chapter 8’s composite metric designed to demonstrate direct return on technology investments to the boardroom.Decision-Making via Mental Models: How applying mental models helps tech leaders overcome cognitive biases and make smarter capital allocation decisions.Listen now to learn how to operationalize total cost accountability, optimize every IT dollar, and align your technology strategy directly with business value.

Join Anirudha Choudhury as we explore how to align Procurement and FinOps teams to combat "silent budget killers," cure SaaS sprawl, and optimize your multi-cloud economics. Key Takeaways,The "Buy vs. Build" Dilemma: Balance internal maintenance and operational costs against SaaS purchase prices and negotiation leverage.Aligning Procurement & FinOps: Bridge the gap between contract terms and unit cost efficiency through early cross-team collaboration.Curbing SaaS Sprawl: Continuously monitor software license utilization to identify and eliminate wasted spend on forgotten tools.Data-Driven Renewals: Build internal business intelligence dashboards to track real usage and negotiate stronger contracts.AI Cost Governance: Leverage AI to optimize cloud resources, but maintain human oversight to ensure the AI doesn't cost more than it saves.

This discussion includes, How to differentiate productive vs. unproductive spend and track real-time savings when cloud provider billing data inherently lags by 24–48 hours.Centralized vs. Decentralized FinOps CoE—which model actually works best for large-scale enterprises?How shifting the mindset to unit-cost efficiency is driven by initiatives like hackathons?How the FinOps framework must evolve to handle the unpredictable nature of AI tokens and GPU demand.The single dashboard metric you should be checking every morning to judge the health of your FinOps program.We also had a Rapid-fire session towards the end! Tune in!