Peace of mind that your applications have the resources they need when they need them.
Performance assurance with software continuously making resource decisions.
Workloads across VMware + Azure Hybrid Cloud Environment.
When Overprovisioning Becomes Unsustainable
Historically, this energy's company IT team relied on overprovisioning to assure application performance. The team used disparate monitoring tools that did not allow them to understand their VMware and Azure hybrid cloud holistically; thus, overprovisioning across their environment became the operating standard. Although resource utilization averaged just 10 to 20%, the team lacked the necessary insights to increase density while accommodating the occasional performance-threatening demand spikes. This challenge drove a range of capacity-related issues and waste across the organization's hybrid cloud environment.
Rightly focused on their mission critical—storm-related—applications, the team lacked the bandwidth to search for or capitalize on opportunities to minimize the overprovisioning in their non-prod environment which was raising cost but not contributing to 24x7 performance assurance of their mission critical applications. In rare cases when the team did have time to identify an opportunity to rightsize, they could not take any action until they had secured permission from application owners. In summary, a lack of insight, time, and permission prevented the team from assuring performance without keeping their hybrid cloud in a state of costly waste.
Bridging the Gap between Application Owners and Infrastructure Operations
The team needed a way to assure the performance of their applications without relying on overprovisioning across their on-premises and Azure environment. They also needed to be able to reallocate resources without human intervention.
In the past, when developing a new application, application owners often requested more resources than necessary because there was no way to determine precisely what each new application required in the long-run. This allocation-based approach was normal because the team lacked the consumption-based insights required to operate otherwise. Once they deployed Turbonomic and finally had one comprehensive view of their entire estate, the team could clearly identify where there were opportunities to minimize waste without compromising performance. With the help of Turbonomic recommendations, the team were able to safely increase utilization and reduce overprovisioning without negatively impacting application performance. They also were able to improve collaboration between their team and applications owners.
“Because Turbonomic can integrate with multiple sites we can see all the details of our environment in one single tool instead of going to five different tools.”
LTI Service Management Engineer
Turbonomic’s reporting and recommendations helped the team show their governance board the waste that existed in their production, pre-production and non-production environments. The governance board then brought this evidence to the application owners and showed how they can and should implement automation to optimize resource allocation on an ongoing basis. In a heavily regulated IT organization which historically had relied on multiple rounds of approval to facilitate any repurposing of IT resources—even in a non-prod environment—the team were able to build enough trust in Turbonomic recommendations that they could be implemented automatically. This decision to implement the automation freed up the team to focus on their mission-critical storm-related applications and other strategic initiatives.
“We have around 6,000 workloads. It’s really hard to allocate all those resources manually. With Turbonomic’s trustworthy resourcing decisions, we don’t need to rely on human intervention in every single area of our environment. We can automate resourcing decisions in our non-prod environment and focus our efforts on our mission-critical storm-related applications.”
LTI Service Management Engineer
Expanding Automation Across Hybrid Cloud
As they look ahead, the team plans to expand their usage of Turbonomic automation across their environment and continue to optimize their Azure footprint. Relying on AI-powered automation to assure performance while minimizing waste, the team will continue to focus their efforts on accelerating strategic initiatives and bridging the gap between infrastructure and applications.