In this episode of The Future of Cloud Optimization, Suresh speaks with Jordan Chernev, Senior Technology Executive for Platform Engineering and SRE in e-commerce, retail and real estate. Jordan shares invaluable insights on building successful internal developer platforms and optimizing cloud costs at scale.

Jordan also discusses the transformative role of AI in cloud cost management, highlighting how it can streamline negotiations and identify hidden savings. Additionally, Jordan emphasizes the importance of fostering a culture of continuous optimization within teams to drive profitability and efficiency.

Topics discussed:

The importance of shifting from a technology-oriented mindset to an end-user focus for successful cloud developer platforms and improved customer experiences.

How to successfully embed optimization experts within product teams using a 12-month "educate, transition, and handoff" model.

Practical strategies for balancing cost optimization with customer experience through service tiers and well-defined SLAs

The role of customer empathy sessions in uncovering pain points and problem statements that can drive meaningful improvements in the software development lifecycle.

Best practices for piloting early adopters to confirm hypotheses around minimum viable products and iterate quickly based on feedback and results.

Tracking success metrics, such as adoption rates and key customer outcomes, to measure the impact of cloud optimization efforts on organizational performance.

The transformative potential of AI in cloud cost management, including contract negotiations and identifying hidden savings opportunities within complex pricing structures.

Fostering a culture of continuous optimization within teams to ensure that cost management becomes an integral part of the organizational workflow.

The challenges organizations face in navigating the complexities of cloud cost optimization and the importance of cross-functional collaboration among various business units.