Enterprises across the world are adopting more selective stances toward their cloud solutions, with a greater emphasis on meeting strategic business goals, as well as increasing flexibility, scalability, and cost effectiveness. This shift involves more rigorous evaluations of ROI and, in situations where the ROI is inadequate, uprooting cloud-based applications, workloads, and data from the cloud back to local infrastructure – a process known as cloud repatriation.

Cloud repatriation is driven by several factors including security, compliance, performance, and internal policies. However, the number one reason for cloud repatriation is cost. This session will cover the five most important steps you can take to optimize your cloud spend before taking the drastic step of repatriation.

In this session, you’ll learn how to…

• Right-size and match the instance types and sizes to your specific workloads, while including spot, reserved, and standard instances in your analysis
• Enable smart autoscaling and microservices to enable workloads to dynamically adjust consumption on demand
• Be vigilant for unused resources since you must pay for everything running in the cloud, even if unused or unattached
• Tune existing applications and databases for poor-quality SQL code and database designs, since every cycle wasted on CPU, Storage, Memory, and I/O adds cost
• Assess the cost-benefit choices between cloud VMs and managed services
• Discover the basics of AI token costs.