This article contains information about recent changes to the Zoom app for macOS, including new and enhanced features, updates to existing features, and bug fixes. K8S auto-scaler functionality depends on the cloud or the managed service provider.Zoom provides up-to-date release notes for our software on devices using macOS. Any submission of jobs beyond the infra limits leads to the queuing of jobs in the Kubernetes cluster. To scale the number of concurrent jobs automatically, enable cluster auto-scaler. The Kubernetes cluster specifications determine the number of concurrent measurements that can be executed. (10 x (30/60) ) / 5 ) = 1 container Concurrent Measurements ( (Number of Jobs) x (Average job duration in minutes) / (Frequency in minutes))įor example, the number of containers required for 10 jobs with an average duration of 30 seconds per job executed at 5-minute interval needs: You can calculate the number of required concurrent containers using this formula: (Web Monitoring PSA) The measurement container image can be customized to install additional libraries.īased on need, a temporary container instance is scheduled for every measurement Instead of setting up a new DB, you can use the existing Postgres DB set up with HA (High Availability) as a DB Java Database Connectivity (JDBC) URL (part of the configuration to Heimdall).Ī temporary or short-lived container auto-orchestrated by Heimdall to execute every measurement. Any DB data loss or crash impacts ongoing measurements only. This DB does not store any business data. Orchestrator that connects to the Synthetic Cloud to fetch measurement jobs for the PSA cluster.ĭatabase (DB) for the local storage of in-progress measurement metadata.
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