Ever had a “noisy neighbor” workload tank your entire environment? Or spent hours chasing latency ghosts across layers? Noisy neighbors are workloads that hog shared resources and starve everything else. LUN/Volume architectures have struggled to resolve this challenge despite throwing as much Flash/NVMe at it as they can.
Managing storage performance isn’t a drag race where pure horsepower wins; it’s more like a 24‑hour endurance race, where performance, agility, visibility, and intelligence all have to work together for predictable results.
VMstore eliminated the noisy neighbor challenge back in 2011 and has been driving innovation, adding more workloads and use cases since. No LUNs/Volumes to manage either.
With AI-driven Auto-QoS, it dynamically allocates resources at the per-workload (VM, Container and DB) level, delivering sub-millisecond latency and ironclad predictability, even under heaviest loads. Real-time telemetry analytics give you visibility into individual workloads, while predictive tools forecast needs up to 18 months ahead, spotting bottlenecks before they create latency and finger pointing.
VMstore customers typically see 30%+ faster performance than legacy arrays, with zero contention surprises. Below is a real-world example of how VMstore is making performance impacts and reducing management overhead for Mentor Graphics.
Mentor Graphics moved its demanding CI/CD test environment to VMstore. Their System Architect for Virtualization Environments put it plainly: “We tried four different traditional storage platforms and all of them were unable to meet our performance requirements.” After a competitive POC, they found that “Tintri VMstore was the only solution that could meet both our high performance and management simplicity requirements.”
Once on VMstore, Mentor’s teams were able to create and run tests on “over tens of thousands of VMs per day on a single Tintri VMstore system,” far beyond what their legacy storage could handle. Because storage management became so simple, the six‑person virtualization team could manage dozens of VMstore systems “without the need for additional headcount – helping the team save up to 95% of time that would have been spent managing storage.”
For mission‑critical apps, this combination of predictable performance and granular visibility is gold. Analytics show real‑time latency and throughput per workload, plus rich history, so you can see exactly how test runs, deployments, or patch cycles impact performance—and fix issues before users feel them. As Mentor’s director of IT architecture summed it up: “We first selected Tintri VMstore for CI/CD – it was so successful that over a couple of years, we made it our standard and replaced everything with it… it was all upon Tintri.”
Read the full case study here: https://tintri.com/wp-content/uploads/2016/05/Case-Study-Mentor-Graphics.pdf
The days of adding more Flash/NVMe capacity to combat noisy neighbors is over but only on Tintri VMstore. No other solution on the market isolates workloads and delivers predictable, guaranteed performance the way Tintri does.
Part 3 will highlight Immutable Snapshots and Ransomware Recovery on Tintri VMstore.
