This video demonstrates the workload optimization feature within a Turbo360. This feature allows users to schedule automatic resizing or turning off resources in Azure to minimize costs. The video shows how to set up a schedule to manage resources, such as App service plans, Cosmos DB, Data Factory Pipelines, Logic Apps, SQL databases, and VMs, and how to configure notifications and cost savings.

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Phil Gervasi introduces a quick and easy way to see network performance metrics among multiple cloud instances. Synthetic tests can be deployed in multiple public clouds to test for loss, latency, and jitter among public cloud instances, such as between AWS and Azure. Phil demonstrates the ability to adjust the time range and shows inbound and outbound traffic, average latency, packet loss, and jitter. A spike in any of these metrics would trigger an alert tied to the ticketing system. He also shows the ability to click into the path view between cloud instances to see a hop-by-hop breakdown.

Phil Gervasi introduces a method for identifying idle resources in AWS using the Kentik platform. By selecting dimensions such as Logging Status, Observing VPC ID, and Observing Region, users can filter the data to determine if a resource is actually doing anything from a network perspective. “No Data” messages indicate resources with no network activity, and a more specific filter can be created based on this message to isolate idle resources. By adjusting the time frame and observing bits per second, users can determine how long resources have been idle.