VMTurbo Upgrade Brings Smarter Onboarding, Control for Apps Running on Virtual, Cloud Infrastructure  

VMTurbo is updating its innovative technology to give IT real-time insight and automation for onboarding and optimizing application performance in virtual and cloud infrastructures. The company’s Operations Manager 3.2 takes a workload-centric approach to detect virtual resources and determine the best ways to provision and operate apps. IDN speaks with VMTurbo execs.

Tags: cloud, Gartner, management, performance, provision, VMTurbo,

vmturbo_01VMTurbo is updating its innovative technology to give IT real-time insight and automation for onboarding and optimizing application performance in virtual and cloud infrastructures. The company’s Operations Manager 3.2 takes a workload-centric approach to detect virtual resources and determine the best ways to provision and operate apps. IDN speaks with VMTurbo execs.

VMTurbo’s Operations manager delivers what the company calls “a cloud-scale control plane” that can identify constraints and automates resource allocation decisions. The approach looks to address resource availability or conflict of assignments of resources before problems occur, and to make sure all applications have the resources they require, according to VMTurbo’s CEO Lou Shipley. The end result is optimized utilization aligned to meet ongoing SLAs, he added.  

“Finding the root causes of problems is important. But to optimally plan, provision and run applications in a private cloud or virtual environment, IT needs intelligence about the application workloads themselves – not just the infrastructure,” Shipley told IDN.

In the pre-virtual world, Shipley said, IT would think it needs to collect as much data as it can, and set alerts if there is a threshold crossed to respond to dangers. But in today’s virtual/cloud world, things need to operate differently, he said.  

“Our customers first worry about getting a virtual/cloud project up and running. But soon after, they worry about performance and efficiency,” Shipley said. “There are so many moving parts IT just can’t capture and trend all your performance data fast enough to take meaningful action. So, rather than take that bottom-up approach, VMTurbo takes a global view of a range of critical resources with our economic scheduling engine through two key metrics – latency and utilization.”  

"Our customers first worry about getting a virtual / cloud project up and running. But soon after, they worry about performance and efficiency.”

Lou Shipley
CEO
VMTurbo

 

VMTurbo helps customers launch and maintain efficient operations with intelligent onboarding, core models for deployment and operations and a unique “economic scheduling engine,” VMTurbo’s vice president of marketing, Derek Slayton, added. 

“Many companies now working with virtual or cloud environments tell us that planning for on-going management is a real big effort. They tell us their hypervisors don’t do a very good job of telling them how to optimize their resources,” Slayton told IDN. Hypervisors focus only on a few metrics for infrastructure and don’t focus on how to place or mange workloads. VMTurbo has built a bridge to the next stage, which is a way to ensure proper on-boarding and on-going performance management, he added. 

“Even more frustrating for IT – even when IT gathers and analyzes metrics, this information isn’t always useful because situations can change so quickly in [virtualized environments],” Slayton said.

To address the task of how to get apps to work best when running in virtualized/cloud infrastructures, VMTurbo doesn’t use a traditional bottom-up approach where tons of data is captured and analyzed. Rather, VMTurbo Operations Manager takes a top-down approach that aims to deliver automated discovery and control by looking at how apps use core resources – and making real-time adjustments as needed.

“VMTurbo looks at infrastructure as a ‘market basket’ of critical resources that a VM has to buy,” Slayton explained. The VMTurbo market basket includes all the key pieces that keep apps running well and on time, including network I/O, storage I/O, storage latency, memory, CPU, etc., he added.

“In this way, we can then federate decision making directly to the infrastructure, and provide it the needed real-time intelligence on each of these resources to make the right decisions,” Slayton added.  

Under the covers, VMTurbo works by looking at the infrastructure’s market basket of resources as an intelligent control plane that can make decisions (assign, re-assign, throttle, etc.) resources based on a supply/demand pricing model that aligns resources to the applications’ SLAs or other benchmark targets. This is accomplished in real-time via VMTurbo’s economic scheduling engine.

VMTurbo extracts information about the entire resource pool of assets offered in the virtual infrastructure. Then, VMTurbo sets the “price” of those discreet resources – equating resources to a function of utilization, and the importance of the application. If you abstract CPU across shared infrastructure and multiple servers, as the CPU resource gets more utilized it becomes more expensive. So, as that value/price changes, VMs are looking for better pricing for CPU, he said. 
 
“Right from an install, we can discover everything on your virtual infrastructure orchestration, and put into [our] engine that automatically tracks and makes recommendations,” Slayton told IDN.

“This approach means it is easier for IT to ingest alternative cloud services or make other changes to their infrastructure,” Slayton said. “VMTurbo is also working on how you can establish a class of service and cost of service, so that important decisions are made by the engine.”

VMTurbo Operations Manager 3.2: capabilities include:

Intelligent Workload Onboarding: Enables deployment of new application workloads based on custom or pre-defined templates to cloud environments. This feature can also integrate with third-party provisioning solutions. The on-boarding and placement decisions are made by the infrastructure using VMTurbo’s economic scheduling engine that intelligently controls resource allocations. These decisions, under the covers, are based on deep analytics of workload performance and the cost of available resources. 

Cloud Scalability, Federation: Federates data and services for distributed VMTurbo Operations Manager instances in cloud-scale environments. This allows for “single pane of glass” management as well as segmenting multiple levels of management granularity.  Service providers and multi-site enterprises can distribute Operations Manager by groups (locations, operations management teams) and aggregate data and services at any level, providing greater flexibility in viewing, controlling, planning and reporting. 

Application Discovery and Cloud Platform Support: Adding to existing application-centric features, VMTurbo adds support for Java applications (via Java Management Extensions) and SNMP-enabled environments, including Linux and non-WMI-enabled Windows apps. This streamlines discovery and delivers greater visibility regarding application behavior to derive resource allocation decisions that meet application QoS needs.

VMTurbo Operations Manager 3.2 also adds discovery and control capabilities for Java apps and Linux environments, as well as hypervisor support for Red Hat Enterprise Virtualization (RHEV) 3.0. Operations Manager already supports XenServer, Hyper-V, CloudStack, or vSphere virtual environments from a single, integrated virtual appliance.

One customer, Kevin Van Mondfrans, vice president for product management at Layered Tech, put the VMTurbo advantages this way: “Quality of service is a top priority for us – and our customers. VMTurbo Operations Manager assures resource availability – even as possible contention increases – for the applications in our cloud,” he said in a statement. 

One Gartner analyst also likes the VMTurbo approach. “Clients are now considering how to orchestrate the delivery of multi-tier applications and assure committed service levels. Automated infrastructure optimization, through dynamic resource allocation and intelligent workload placement, is critical to enable service assurance and scale operations in large private or public cloud environments,” said Alessandro Perilli, a research director at Gartner, in a statement.  
 
Slayton compares the way VMTurbo keeps virtualized environments healthy to the ways we keep our bodies healthy. “If you eat well and stay healthy, do you really know all the diseases you are preventing? No, not really, because there are thousands of diseases. So, we argue that for operations, IT shouldn’t look for indications of a heart attack. They should just keep their environment healthy.”

 




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