The Keys to AWS Optimization Season 12: Your Guide to Cloud Cost Mastery
Whats in store?
Steph Gooch
Amazon Employee
Published Feb 3, 2025
Hosted by AWS experts Steph, Savanna, and John, The Keys to AWS Optimization is a weekly livestream series designed to help businesses unlock smarter cloud spending. Running every Thursday from February 6 to March 27, 2025 (8–9 AM PST), the show blends technical deep dives, real-world customer stories, and actionable strategies for optimizing AWS infrastructure. Here’s what viewers can expect:
- Technical Tool Deep Dives:
- Learn to leverage AWS Compute Optimizer’s new features for autoscaling, DynamoDB, and idle resource management (Episode 1).
- Explore Cost Explorer’s billing view for cross-account cost visibility (Episode 3).
- Master AWS Auto Scaling updates and ECS-specific configurations (Episode 7).
- FinOps Culture & Collaboration:
- Bridge the gap between Finance and Engineering teams with FinOps best practices (Episode 2).
- Discover how Grammary and Amazon tackle cost governance at scale, including insights into managing GenAI expenses (Episodes 5–6).
- AI-Driven Optimization:
- Harness CloudWatch’s AI-powered telemetry analytics to refine operational excellence (Episode 4).
- Customer Success Stories:
- Hear directly from FinOps pioneer Alee Whitman on overcoming cloud cost challenges (Episode 8).
- Expert-Led Demos: See AWS tools in action with guided walkthroughs.
- Actionable Takeaways: Apply strategies like the 4 pillars of Cloud Financial Management (See, Save, Run, Plan) to your organization.
- Live Q&A: Get real-time answers from hosts and guest experts.
- Skill-Building Resources: Access curated training courses on AWS Skill Builder to deepen your knowledge.
Stream the series live on:
Whether you’re a FinOps practitioner, developer, or executive, this series equips you with the insights to turn cost data into actionable strategies. Catch episodes on-demand after broadcast, and join the conversation using #AWSoptimization
Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.