(related to ORM)
Virtual Machine Desired State Configuration (VMDSC) allows virtual administrators to specify VM CPU/Memory desired state which will take effect upon the next Guest OS reboot. This removes the burden of having to schedule a downtime window with the business/app owners.
Terraform Provider for vRealize Log Insight Cloud allows Terraform Users to request and provision vRealize Log Insight Cloud resources like Alert & Query Definitions.
The NUMA Observer Fling scans your virtual machine inventory and identifies VMs with overlapping core/NUMA affinities and generates alerts.
Storage Performance Tester is a one-click storage performance test tool, which is able to collect IOPS, latency and CPU cycles per I/O for ESXi storage stack. This tool automates all the testing steps including the customized VMs deployment, I/O workload running, and storage performance analysis.
With this Fling, you will leverage your VMware Cloud Foundation 4.0 with vRealize Automation deployment and stand a sample data platform based on vSphere Virtual Machines in less than 20-minutes comprising of Kafka, Spark, Solr, and ELK.
This toolkit is intended to facilitate managing the lifecycle of these special configurations by leveraging vSphere APIs.
With this Fling, you will leverage your VMware Cloud Foundation 4.0 deployment and stand a sample data platform on a Tanzu Kubernetes Grid guest cluster in less than 20-minutes comprising of Kafka, Spark, Solr, and ELK.
SQL30 is a ZERO weight ORM for SQLITE database written using only native python constructs. This ORM works as is on current ESX version of Python without having any additional dependencies.
The vSAN performance monitor is a monitoring and visualization tool based on vSAN Performance metrics.
IOBlazer is a multi-platform storage stack micro-benchmark. IOBlazer runs on Linux, Windows and OSX and it is capable of generating a highly customizable workload.
vCenter Cluster Performance Tool is a Powershell script that uses vSphere PowerCLI to obtain performance data for a cluster by aggregating information from individual hosts.