Company
Reducing waste and optimizing workloads is the #1 priority for FinOps teams today, according to the latest State of FinOps Report from the FinOps Foundation. The report also highlights a major shift: policy and governance at scale is now the top strategic focus for the next 12 months. This evolution makes sense. While many organizations have made progress reducing cloud waste, they’re realizing that without scalable policy and governance, savings don’t stick.
The Cloud Usage Optimization & Governance Summit – presented by FinOps Weekly and powered by Stacklet – dives into this shift. These sessions feature practical insights, real-world policies, and proven strategies to help FinOps, engineering, and cloud teams collaborate at scale.
This session highlights real-world FinOps policies that have helped organizations save significantly – some reaching seven figures. We’ll explore a mix of widely adopted and creative policy examples, along with practical tips to implement them effectively across teams and cloud environments.
Most mistakes in the cloud are costly – but also preventable. This session explores how FinOps governance can reduce waste before it starts by combining shift left policies in Infrastructure as Code (IaC) with runtime enforcement. We’ll walk through the real-world journey of tuning policies through real-time feedback, and show how a consistent governance approach across both stages enables earlier action, reduces rework, and supports sustainable cloud efficiency at scale.
In this panel, practitioners will share real-world experiences and practical tips for getting started, scaling policy frameworks, and building alignment across engineering and FinOps. We’ll explore the balance between IaC-based (shift left) FinOps governance and runtime enforcement, discuss the role of automation, education, and as-code practices, and examine how AI is beginning to enhance policy workflows in modern cloud environments.
Mean Time to Savings (MTTS) is becoming a key FinOps metric to measure and improve how quickly teams respond to optimization opportunities. This talk explores why to track MTTS, how to measure it, and how to use it to drive accountability – helping teams minimize waste through faster action, streamlined processes, and proactive policy enforcement.
This forward-looking session explores the emerging role of AI in FinOps – beyond basic anomaly detection. We’ll dive into how AI-powered insights and intelligent agents could soon help automate tasks, implement governance policies, and accelerate time to savings, all while making it easier for engineering teams to act and optimize cloud usage. Think of it as a glimpse into an AI-driven future of continuous optimization and policy enforcement at scale.
In this session, we’ll explore why and how Cloud FinOps and Security teams can collaborate more effectively – making it easier for engineering teams to implement and act on both cost and security-related controls. Strong collaboration leads to clearer ownership, faster execution, and more sustainable governance across the organization.
In this closing session, the Stacklet team shared how organizations are using Stacklet to reduce cloud waste, boost engineering productivity, and scale governance with confidence. Built by the creators of Cloud Custodian, Stacklet delivers automated, policy-driven governance and continuous usage optimization. The session also offered a sneak peek at what’s coming next -including AI-powered capabilities designed to drive faster Mean Time to Savings (MTTS), and make cloud governance more scalable and sustainable.