- NVMe Storage
- Enterprise NVMe
MongoDB query performance optimization should always include a deep dive into the storage and networking platform: remove the latency; add near-zero latency SAN technology, truly linear scalable NVMe storage, and solve performance issues, reduce data center sprawl, and realize the lowest TCO in the industry, once and for all. It’s no joke. petabyte class SAN storage all looking and acting to the application and CPU like server captive flash, now that’s unthinkable!
We removed the storage controller, the storage protocols, and all of the chatty, latency filled legacy networking complex that has bottlenecked IO for decades, and replaced it with an entirely new breed of NVMe SAN storage. NVMe SAN storage in a headless state that merely moves the data packet from application to storage allows for near-zero latency (unrivaled 1.5-3.0 μs), and the unfettered access to unprecedented usable IOPS (20 Million), nearly limitless bandwidth (96GBs), and unheard of storage density (720TB), in the worlds most dense (2U package) and only truly linear scaling platform.
When it comes to MongoDB query performance, one thing is for sure, there are lots of different opinions and ways of doing things in an attempt to extract the maximum out of the environment. Until now, most admins have had a limited set of tools in the tool box to address challenges that lie beyond MongoDB itself. When it comes to performance issues, tuning challenges, configuration setup and optimization, almost any administrator knows, much, if not most of the performance challenges that exist, are problems that have nothing to do with MongoDB, but everything to do with the latency heavy, legacy storage and networking complexes that connect the needed storage capacity to the application and CPU. Workarounds for these issues become eternally problematic, especially at scale. Scale-out, Hyper-convergence and other Software Defined Storage options create additional latencies in the process of getting more out of the environment. It’s true, they improve on older technologies in use, but are only temporary workarounds that buy marginal improvements at the expense of other inefficiencies. Why not choose to solve the challenge once and for all, remove the legacy latencies altogether.
Gain the advantage, remove your storage and networking latencies and realize performance gains you thought unthinkable, rid yourself of data center sprawl that is truly unthinkable and do it for an unthinkable low price. That’s Unthinkable Storage. CaptiveSAN
When it comes to ultra high performance, there really is only one choice for your MongoDB deployment with regards to the storage architecture, CaptiveSAN. As the worlds only MongoDB storage able to network pools of mixed NVMe NAND and high performance Intel Optane drives, you can squeeze every last bit of performance out of the application, nobody, and we mean nobody, can do that but Apeiron with CaptiveSAN. Can you say truly memory class storage?
Apeiron’s CaptiveSAN affords MongoDB near-zero latency SAN class storage in a headless state. With the storage and networking latencies removed, MongoDB has unfettered access to industry leading bandwidth, IOPS, and storage density.
With IO blocking infrastructure out of the way, you can release all of the sequestered IOPS and Bandwidth available and unlock the full potential of your Big Data and High Performance Computing programs
MongoDB in mission critical big data applications is looking to see server captive flash in a horizontally scaling environment, but in doing so, scaling becomes the next bottleneck you encounter, and it’s coupled with server sprawl, and escalating infrastructure costs and overhead. What MongoDB really needs to see is server captive flash at scale, without the inefficiencies scale-out and hyper-convergence create, what it really needs to see is CaptiveSAN.
You can bet your bottom dollar that a big part of the solution to your MongoDB challenges will be solved with CaptiveSAN. Linearly scalable to petabytes of data, tens of thousands of drives, billions of IOPS, and nearly unlimited bandwidth, the CaptiveSAN platform is ready to unleash performance you have never seen before while running MongoDB. CaptiveSAN is so fast, that to MongoDB and the CPU, it simply looks, and acts, like server captive flash, but has none of the scale-out server sprawl and cost issues associated with typical high performance MongoDB deployments.
Increase performance by a big margin, reduce server sprawl, and lower your TCO with CaptiveSAN
Call Apeiron today and unleash MongoDB to it’s fullest, let it feast upon your data, and gain the competitive advantage your business or organization needs before it’s too late and the competition does.
Questions abound when it comes to MongoDB at scale with regards to performance, architecture, scaling, and overall best storage and compute practices. Some of those questions surround the topics listed below. Here at Apeiron you will hear us preach over and over again that latency is the key to unlocking the value of Big Data, your Big Data. It’s really quite simple, remove the latency and forgo workarounds and you will see performance you never thought possible, unthinkable performance.
Topics of Most Interest to Users and Potential Users of MongoDB