I have been involved in several projects where I had to implement automation and monitoring alerting. I performed automation using VMware Aria Operations for Applications. There is an automation tab where you can perform automation related to environment resizing and snapshot deletion. Additionally, if any VMs are in an idle state, you can use automation to remove or power off those VMs. A small area of automation scope exists inside VMware Aria Operations for Applications.

For dashboard creation, you can use heat maps and scoreboards. When configuring alerts, you can set criteria and categories such as critical, intermediate, normal, or warning alerts. You can put these into a scheduler, and if symptoms match the alert configuration, it automatically sends alert notifications to stakeholders based on notification settings. Stakeholders receive recommendations when CPU or memory consumption reaches certain thresholds.

The tool also allows collection of compliance reports through the report tab. These reports can be exported in PDF or Excel format and sent to stakeholders.

Our primary use case for VMware Aria Operations for Applications is to enhance application monitoring tasks, allowing us to set up alerts for different components and send them via SMTP to a team distribution list.

Our primary use case for Aria Operations for Applications is to monitor the applications to assess their performance and determine if they require any patching or maintenance. It is a tool we use for our day-to-day work.

I primarily use VMware Aria Operations for Applications for monitoring, generating reports, and troubleshooting within the application environment. The solution allows for real-time statistics and helps identify issues within the VM environment.

We use it to monitor not only whether applications and services are up and running but also to get some insights into the applications such as how many transactions are being processed, if there is any downtime, or if a specific transaction is taking longer than normal. So, it is not only about availability but also about the actual performance of applications within our Kubernetes deployments.

It is a cloud service. It doesn't have a version number.

We use Tanzu in our encryption company. We use this solution to prepare products for our designer and for sites that are used internally.

We are using version 1.2. The solution is deployed on-premises. There are about 100 people using this solution in my organization. 

We also use Kubernetes and HA Proxy.

I am a hybrid cloud consultant and developer acting as a primary service provider at my organization and I handle multiple integration configurations between all our VMware products, including vRealize Automation, vRealize Orchestrator, and Tanzu.

As VMware partners, we are capable of deploying Tanzu Observability anywhere with vSphere, including on-premises and cloud deployments, and we can integrate it with an MSSP. We also install and use HAProxy, then integrate with the VM Orchestrator. For our clients, we release the automation and provide services such as creating the control plane with multiple nodes. We currently have multiple installations based on this type of environment.

Tanzu enhances any container platform that we use such as Kubernetes but it is also integrated with multiple other container solutions.

I primarily use the solution for consulting. I help company DevOps teams. 

We use this solution for its applications, like the ELN import application. There are a few internal applications appropriate for future growth and they can start doing the high-end configuration already. We wanted to test all the capabilities of vSAN in VMware.

We primarily use the solution for KPI metrics. We use the aggregation of metrics, and get alerts about the numbers behind the data that we have.

We do not use this solution directly. Rather, we provide a platform for people to run it. We are the virtualization engineers, and we interface with this solution.

Our experience is with a private cloud deployment.

Our primary use case for Wavefront is for metrics alerting. We use the SaaS offering.

We primarily use this solution for monitoring and customer demos. We have a hybrid cloud deployment with Amazon.