Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Confidential computing is a revolutionary technology that disrupts the conventional threat model of public clouds. In the past, vulnerabilities within the extensive codebase of the cloud’s privileged system software, including the operating system and hypervisor, posed a constant risk to the confidentiality and integrity of code and data in operation. Likewise, unauthorized access by a cloud administrator could compromise the security of your virtual machine (VM).

This conversation from the INTEGRATE expert voices unplugged series from Azure on Air discusses the importance of a security-first mindset in software development, particularly in the context of Azure and cloud computing.

Spark Dynamic Allocation is a useful feature that was developed through the Spark community’s focus on continuous innovation and improvement. While Apache Spark users may believe Spark Dynamic Allocation is helping them eliminate resource waste, it doesn’t eliminate waste within applications themselves. Watch this video to understand SDA's benefits, where it falls short, and the solution gaps that remain with this component of Apache Spark.