Application-Driven Cloud Optimization
Turbonomic is the only solution to assure performance in the cloud. With a trustworthy AI-powered engine, Turbonomic uses multiple metrics and cloud constraints in its analysis. It generates safe actions that improve application performance and make application teams more productive. Actions you can fully automate out-of-the-box or integrate with your ITSM for approval workflows.
Turbonomic’s data-driven decision engine continuously generates accurate and prescriptive actions based on real-time metrics and IT policies which allows customers to automate with confidence.
Application-Aware Actions You Can Trust
Your applications are your business – and cost and performance are two sides of the same coin in public cloud. Turbonomic’s cost optimization prioritizes application performance with every decision.
Turbonomic uses application demand as the driver for making resource decisions. Applications always get the resources they need when they need them.
Trustworthy Public Cloud Optimization
More than 3,000 customers, including more than 36% of the Fortune 500 Trust Turbonomic to optimize their applications and reduce waste on the cloud. Watch this video to learn more.
Discover the Difference
The purpose of IT operations is to make applications run well. This means that assuring application performance and maintaining compliance are higher priorities than cost optimization – and rightly so. Typical approaches of overprovisioning and monitoring are not successful at cost and performance optimization.
Turbonomic uses an application-aware approach that leverages insights into applications’ fluctuating demand and configuration to dynamically match demand to the required resources (supply). Turbonomic integrates with Application Performance Management solutions and APEX.
Read the whitepaper, Application Driven Cloud Optimization, to learn more.
Automatable Actions, Not Recommendations
Optimization can only occur when actions are taken to achieve business outcomes – and most users and application owners don’t trust recommendations because they are wary of application failure.
Turbonomic believes that taking actions requires trust. Turbonomic users trust our actions due to our superior analytics, application awareness, and visualization of the actions’ impact on performance, cost, and disruptiveness. That’s the reason most Turbonomic users fully automate actions in the platform.
Read the blog, Mastering Cloud Cost Optimization: Frameworks for Success, to learn more.
“Action is the foundational key for all success” – Pablo Picasso
Cloud Volumes Optimization
Storage typically is a substantial component of the overall cloud bill – but block storage optimization is often an afterthought. Lack of understanding of application needs from a storage perspective can result in IOPS and throughput starvation, which can have devastating results on application performance.
Turbonomic cloud volumes optimization goes beyond simply moving between tiers. Turbonomic actions, which in most cases are non-disruptive, include increasing volume sizes to improve performance (IOPS and throughput), and modifying provisioned capacity of advanced volume types (Azure Ultra, EBS IO1, IO2, and GP3).
Read the blog, Introducing the Next-Generation of Cloud Volumes Optimization by Turbonomic, to learn more.
Fully Hybrid with Cloud Migration Planning
Cloud migration from on-premises infrastructure as well as from cloud to cloud is complex, and it’s easy to end up overpaying in the cloud. Turbonomic’s cloud migration planning and modeling engine helps optimize your cloud migration by using application-aware historical utilization data to select the best VM/instance type for every one of your resources and RI recommendations for steady-state workloads. This leads to workload performance at the most effective cost post-migration.
Read the blog, Lift & Shift vs. Optimized Cloud Migration – Which one is better and why?, to learn more.
Turbonomic’s research finds that more than 60% of all VMs are oversized. By resizing to meet resourcing needs, you reduce costs by 30-40%.
Many scaling solutions size to performance peaks or averages – which results in mismatched capacity and either overspend or performance failures. Turbonomic takes advantage of cloud elasticity by using percentile-based scaling to achieve true cloud elasticity.
Read the blog, Optimization Master Class: Proving Elasticity Through Percentiles, to learn more.
Platform-as-a-Service (PaaS) adoption is growing rapidly. In fact, Turbonomic customers that employ optimization on PaaS resources yield up to 66% additional savings on top of savings gained from Infrastructure-as-a-Service (IaaS).
Turbonomic provides full visibility of PaaS services, and safely optimizes database PaaS services (Azure SQL and Amazon RDS) and container-based PaaS services (AKS, EKS, and GKE). Optimization actions include database scaling, containers scaling, and continuous pods placement. These actions result in near-zero downtime impact.
Read the blog, Assuring Microsoft Azure SQL Database Performance While Slashing Costs with Turbonomic 8, to learn more.
Reservation and Discount-Aware Scaling
Managing RIs on AWS or Azure, or AWS savings plans can be a complicated and time-consuming undertaking, but can yield up to 70% savings. Purchasing RIs for oversized VMs will result in oversized RIs, and will lead to persistent infrastructure due to the long-term commitment requirement.
Turbonomic provides specific and automatable RI-aware compute scaling actions to increase existing RI inventory utilization. Turbonomic RI purchasing actions, which are based on observed utilization, maximize reservation-to-VM coverage to minimize costs and increase overall savings.
Turbonomic automatically ingests and displays negotiated discount rates as part of an AWS EDP or Microsoft Azure Enterprise Agreement.
Read the blog, Multicloud Reserved Instance Management Made Easy with Turbonomic, to learn more.
Scheduled Resource Suspension
Non-production cloud resources, such as those needed for development, testing, staging, and QA, are typically only needed during the workday. The other 65% of the week, they sit idle – even though you’re paying every second they’re running.
That means costs can be reduced by up to 65% by turning resources off during those idle times, aligning with business hours. Turbonomic’s ParkMyCloud platform uses resource utilization history to automatically recommend on/off schedules for your resources to optimize costs. ParkMyCloud manages compute, scaling groups, databases and storage on all major public clouds, and nodes within AKS, EKS, and GKE clusters.
To learn more, visit the ParkMyCloud website.