vRealize Cloud Management with AIOps and Kubernetes Integration: VMware


vRealize Cloud Management 8.2 launched by VMware is the latest version of its management platform. vRealize Cloud Management is an automation platform and is available as a SaaS offering at the same time for on-premises installation.

The platform can be used by the customers for self-service provisioning of infrastructure, network automation, and DevOps automation. The day two operations of virtualization infrastructure running within the data center and the cloud are managed by acting as a single pane of glass. VMware is bringing new AI-driven capabilities to its flagship management platform with vRealize Cloud Management 8.2. VMware Cloud Templates simplify defining consistent and repeatable deployments and it was formerly known as vRealize Automation blueprints.

To design infrastructure templates that translate to a YAML file using a canvas based on the Infrastructure as Code (IaC) paradigm. It can be added to a version control system such as GitHub. VMware Cloud Foundation and NSX support templates targeting mainstream cloud platforms apart from defining and creating deployment templates for vSphere. The mainstream cloud platforms include AWS, Azure, and Google Cloud. Existing IaC tools such as ServiceNow, Terraform, and Ansible are also supported by VMware Cloud Templates.

Integration of vRealize Cloud Management 8.2 with VMware Tanzu Kubernetes Grid and Red Hat OpenShift platforms for auto-discovery of Kubernetes clusters. It can monitor various Kubernetes primitives such as health, performance, capacity, cost, and configuration. Enhanced Kubernetes support, deeper integration with VMware Cloud on AWS, and overall usability enhancements introduced by vRealize Log Insight 8.2 and its SaaS counterpart VMware vRealize Log Insight Cloud.

A unified view of the infrastructure running traditional VMs can be obtained by the customers and also Kubernetes clusters through a common console. Feature integration with mainstream APM tools included in this latest release of vRealize. APM tools contain AppDynamics, Datadog, and Dynatrace.  To provide end-to-end visibility into the stack, the platform can discover applications, infrastructure resources based on vSphere, vSAN, and NSX.

Customers can predict, prevent, and remediate issues in the context of applications through the integration with vRealize Network Insight. VMware claims Improved metric-correlation and new near real-time monitoring with vRealize Cloud Management 8.2. This enhancement detects performance and availability issues up to 15x faster thus helping the customers. Unlock capacity calculations for EC2 instances and automatically import metrics into the monitoring platform are possible due to enhancements to native AWS management for faster troubleshooting.

VMware claims that it will help customers reduce cloud infrastructure costs with its improvements to the pricing and costing engine. Improvements include a daily virtual machine (VM) cost granularity, pricing support for non-VMware vRealize Automation workloads, and enhanced metering capabilities.  Nyansa and Blue Medora are the two key acquisitions that power VMware’s AIOps push made in the recent past.

For IT operations, AIOps is becoming an essential part. An intelligent approach to infrastructure management through AIOps occurred with the rise of cloud-native platforms based on Kubernetes and the adoption of multi-cloud platforms demand.  


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