Top 5 Things to Know about Tintri Analytics
By Jack Bornhoft
Predict and Model Storage Needs for Capacity and Performance
If you haven’t seen Tintri Anlaytics, it’s definitely worth the look. It’s unlike any other tool I’ve seen and takes predictive analytics to a whole new level. Advancing Tintri’s foundation of VM-aware storage, the Tintri Analytics SaaS offering puts the steering wheel back in your hands, helping you optimize your virtual footprints for both cost and performance.
Tintri built predictive analytics that help you answer these questions…
How do you plan resources for more instances of an application? How do you figure out when your storage will run out of capacity or performance? How can you see historical usage data of your applications? Is your storage analytics providing information or answers?
Tintri Analytics collects up to three years of historical information about your virtualized applications. By mining your rich VM-level metadata, Tintri Analytics provides you with information about your environment so you can make decisions based on the exact behaviors and needs of your virtualized applications.
These are the top 5 things you need to know about Tintri Analytics:
1. Visualize your organic storage growth based on per-VM data with no guesswork required
Tintri applies big data technologies like Apache Spark and Elasticsearch to crunch numbers from up to 160,000 virtual machines in one second. And that means you can precisely model your capacity, performance and throughput to account for organic growth. Tintri Analytics makes this analysis fast and simple. The Insights page graphs resource usage over time and provides trend lines as shown below (Be sure and select “All VMs” from the drop down menu on the Filter Bar to see results for your full data set.) With this view, you can immediately identify what the critical resource is and when it is likely to run out.
Trends in resource consumption help you determine when to add additional storage hardware.
2. Model capacity, flash footprint and performance across specific applications
With Tintri Analytics, you can see what’s happening inside your storage, and map it to your VMs and applications. You can use Tintri Analytics to answer important resource planning questions such as ‘Do I have the resources to add more instances of an application?’ and ‘How is the resource usage of different applications changing over time?’ You have the flexibility to define applications according to your needs and existing practices. The image below shows the Definitions page used to view and define the applications used in your environment. You can add application profiles and/or drill down from this page to find out more about each application.
Once you’ve reviewed the results for “All VMs” you can view the same data on a per-application basis to find out which applications are consuming resources and how application consumption is trending over time.
3. Tintri Analytics supports multiple hypervisors
4. Intuitive and responsive UI
VM data, such as the number of live VMs running on your VMstores and average VM
needs, is displayed in the left two panes. The panes on the right show resource usage as well as which application profiles are the top consumers for each resource. You can see immediately if you’re approaching a resource limit and drill down to find out what is consuming a resource.
5. Simulate what-if scenarios to plan future needs of your business
You can conduct what-if analysis to understand the consequences of changes to your virtual footprint. Get answers, not just information. Here’s one way Tintri delivers actionable insights.
Above, you’ll see the Experiments view in Tintri Analytics, which helps you model a variety of “what-if” scenarios to identify the best course of action. This screenshot illustrates how such a “what-if” query works.
And it’s simple: you go into Experiments, choose an application you’d like to deploy (in this case, VDI) and select the number of instances (in this case, 25). Plus, if you want to model the impact on a subset of your footprint, you just assign target VMstores in a dropdown. Tintri Analytics shows you the results of your deployment immediately and in real time.
Since the results are pretty dreary in this scenario, overloading capacity and performance (and almost working set), you can fine tune the results by provisioning fewer new instances or adding more VMstores to your candidate targets. Tintri provides not just transparency for your storage, but the ability to take action on it.