Hyper-Converged Infrastructure

Accelerate Adoption of High-Performance Hyper-Converged Infrastructure

Hyper-converged infrastructure promises to ease management. As such, organizations are heavily investing in these software-defined, tightly integrated compute, storage, and network solutions. Commoditizing infrastructure may make management easier, but these solutions do not match workload demand with infrastructure supply. The question of which workloads go where, how to size them and when to provision is left to the user…and that’s not scalable.

Turbonomic transforms the run, plan and build operational phases of IT. Assure the performance of applications running on hyper-converged infrastructure and ensure you get the most out of this investment.

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Key Features & Benefits

Intelligent workload placement and sizing decisions based on real-time application demand

Continuous real-time (and historical) full-stack visibility into hyper-converges, and legacy, infrastructure

Autonomic hyper-converged management that spans the key operational phases: run, plan, build

Real-time placement of IO-intensive workloads alongside non-IO-intensive workloads (no storage tiering!)

Quick, accurate planning that keeps pace with user growth & infrastructure changes

Fully leverage the right storage performance with the right workloads

Minimize performance risks for the full lifecycle of all workloads

Manage more workloads without adding headcount

Self Organizing vms, apps, and containers

Optimize the Health of Your Private Cloud

Tightly integrating compute, storage, and network in order to manage them in software certainly addresses ease of management, but the same workload placement, sizing, and provisioning decisions must be made. Traditional threshold-based scripts and storage tiering do not assure performance and are less efficient. Turbonomic’s patented algorithms enable workloads (as well as, applications, VMs and containers) to self-manage in real-time. The platform scales with any private cloud (or hybrid, public, or multi-cloud) environment. Our customers manage tens of thousands of workloads with Turbonomic, empowering their teams to do more with less.

How to Run an Autonomic Data Center

    1. Install and Deploy Turbonomic: It takes 15 minutes. Actions appear in under an hour. Types of actions include:

 

      • Provision — Add resource capacity, usually by adding an entity
      • Decommission — Stop, suspend, or remove an entity
      • Place — Place a consumer (ex. container, VM) on a different provider (ex. VM, Host)
      • (Re) Configure — Change the allocation of resources on an entity

 

    1. Automate Turbonomic: Over 70% of our customers have automated and that’s how you get the most value out of Turbonomic. But, we understand it’s a journey, so initially types of actions can be automated incrementally and scoped to certain segments of the environment.

 

Learn more about the crawl, walk, run approach to enabling Turbonomic Automation.

 

Continuous Real-Time Workload Decisions

Turbonomic enhances hyper-converged solutions with automatable sizing, placement, and provisioning decisions throughout the lifecycle of all workloads. The platform continuously evaluates the resource tradeoffs that exist in the environment and makes the decisions that avoid contention and performance degradation across all layers of the stack, including the flash storage, network, and compute resources packaged in hyper-converged infrastructure.

Hyper Converged Workloads
Hot and cold storage workloads

Right Storage, Right Workload

Turbonomic ensures that IO-intensive workloads access flash storage in hyper-converged storage, while workloads that will perform just as well on disk use that resource. The distinction that Turbonomic makes between flash and disk storage within hyper-converged infrastructure, ensures that you’re making the most of both resources, avoiding hidden and wasteful storage tiering that typically comes with hyper-converged software management console.

cloud team discussing what if scenarios

Plan Quickly and Easily as You Scale

Whether you want to upgrade your hardware and invest in hyper-converged infrastructure and you’re wondering which workloads can really benefit from this investment, or you’ve already invested and now you need to determine how many additional units when, Turbonomic can help.

When running a plan, Turbonomic takes a snap shot of the real-time environment. It then executes any “what if” scenario you define in order to determine how much hardware, including hyper-converged, when.

How to Plan Using Real-Time Information

In the Plan View, Turbonomic allows you to run and customize different types of plans for your hyper-converged infrastructure:

  • Run a plan that adds workload once (demand spike) or at a regular interval (steady growth) of your choosing (monthly, quarterly, etc.) to see how those new deployments will be distributed across the current environment and whether there’s enough hardware to support it. When workloads cannot be placed safely, Turbonomic will let you know.
  • Run plans of adding new hyper-converged infrastructure (once or regularly over a period of time) to your environment to see how workloads will be distributed across it based on the current state of your environment. Turbonomic will place workloads across the new hardware in accordance with which ones can benefit the most from the resources that hyper-converged provides.
 

Read Every Plan in Seconds to learn more.

Budget Accurately

Because Turbonomic “what if” scenarios are based on snapshots of the entire current (or historical) environment, planning changes to your hyper-converged infrastructure is more accurate. The platform understands the real-time compute, network, and storage demands in your environment, so you can be sure you’re adding/purchasing only the hardware you need, when you need it. No more overprovisioning.

IT Budget Accurately with Turbonomic

Plan Quickly

Turbonomic always has a real-time view into your environment, so you can focus on creating the right plans and testing the right scenarios, rather than spending your time pulling together the data you need to run the plans.

VM Container Sprawl and Admin cartoon

Deployment Challenges on Hyper-Converged Infrastructure

Where you place new workloads in a hyper-converged environment impacts the new workload, as well as existing workloads in the shared environment. Placement decisions must consider the resource tradeoffs that exist across the environment and within hyper-converged infrastructure. Hyper-converged software typically comes with automated scripts that are threshold-based, one-dimensional (only consider one resource at a time) and ultimately rely on some amount of over-provisioning to mitigate resource contention.

Automatable Workload Placement

Turbonomic understands the interdependences between compute, network, and storage, whether those resources have been architected as separate pieces of hardware, converged infrastructure, or hyper-converged infrastructure:

  • It will place workloads at deployment based on their demand profile and the currently available supply of those resources to assure performance from the start.
  • It will place new workloads without disrupting the performance of workloads already running in the environment.
Container VM Sprawl on Hyper Converged Infrastructure

Reserving Capacity for New Workloads

Turbonomic can reserve space in the hyper-converged infrastructure for upcoming deployments. If the infrastructure can no longer support the anticipated load, the software will notify administrators. Upon deployment, the software will identify on which targets (clusters, hosts, and datastores) each new workload should be deployed.

See what our Workload Automation for Hybrid Cloud can do for you.

Decisions in under an hour. Payback in less than 3 months.

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