- NVMe Storage
- Enterprise NVMe
If you need to improve your Splunk query performance, then chances are you have a storage bottleneck residing in your legacy storage complex. From latency issues, to bandwidth limitations, to scale out sprawl concerns surrounding power consumption and floor tile expense, as well as overall TCO, your Big Data program is challenged and at risk without the proper infrastructure needed to succeed.
When it comes to Splunk, or any other storage aware applications for that matter, utilizing technology with any IO blocking legacy storage protocols, or controllers is an absolute waste of time.
Are your Splunk queries progressively increasing in time, or downright just not finishing at all? Odds are your Splunk storage solution needs to be re-engineered to provide the horsepower Splunk needs to ingest, index and query enough data simultaneously to provide answers to your organizations most business critical questions and concerns. After all, that’s what your Splunk deployment is, and was supposed to provide, the answers to the hard questions, that you would otherwise not be able to garner in time to improve organizational outcomes.
Like everyone else, you have probably tried checking throughput on your disks or flash drives, or perhaps even tried adding more compute and storage to the pool in an attempt to horizontally scale-out your environment, only to find minimal gains in performance, if any at all. You may have even tried making your queries more specific, and narrowing your query window in order to make minimal progress in the quest to get any actionable data from which to base critical decisions off. Isn’t that so anti-big data analytics? After all we are talking about big data here, not little data, right? Stop making excuses for sub-par solutions. You need more data, not less. You need longer windows for queries, not shorter. Management is demanding more, and you just keep thinking you have to give them less. Not after today you won’t. We guaranty it.
Splunk Enterprise Security (Splunk ES), IT Service Intelligence, and User Behavior Analytics are designed to ingest data into the double digit TB’s daily all while processing queries on petabytes of machine and network data, however, due to Legacy I/O performance limitations inherent in typical storage solutions, searchable data is often constrained and stored offline as it ages. Not any more. At Apeiron we have improved Splunk query performance up to 90x while accessing multiple years of data, and lowering infrastructure footprint and cost by as much as 80%. No Joke.
Improve your Splunk query window of opportunity from days to years, and speed up the query process to deliver on the promise of Splunk big data analytics by getting your answers when you need them…Now! Don’t take our word for it, Splunk denotes by specification requirements, Aperion’s technology when it recommends purchasing as many IOPS, as much bandwidth, with as little latency as possible. Aperion meets all three criteria. You won’t find any solution providing more real-world, usable, IOPS, nearly 19 million IOPS in a 2U integrated, near zero latency SAN, pumping out a data craving 96GB\Sec of throughput, all while adding a system, and application invisible, 3µ seconds of latency. What does this mean for your Splunk deployment? It means that our NVMe SAN looks and acts to the application and compute as if it was storage internal to the server. Petabytes of storage acting and looking to Splunk as if it was internal DAS, performing well beyond other scale-out and Hyper-converged solutions available today. In fact our storage network is so fast, Intel Corporation has commented that it is the only externally available solution capable of networking petabytes of Optane Flash.
When it comes to improving your Splunk query performance, make no mistake about it, the tri-fecta of IOPS, latency, and IOPS all come into play. If you want more answers, call Apeiron today and unshackle yourself from legacy storage bottlenecks and see just how much more you can have when your Splunk ingest, indexing and queries run in a headless state. Call 1-800-701-0243 today!
When it comes to Splunk performance and tuning as well as dealing with unforeseen challenges and issues that arise throughout the course of a Splunk deployment, inevitably there is one factor that is almost always at the root of everything, too much latency. In fact statistics show that over 80% of any Splunk Engineer’s time is spent dealing with issues and performance tuning in an attempt to deliver on the promise of Splunk enabled big data analytics. 80%, really? In any other discipline this would be untenable at best, and it should be when it comes to Splunk. There is one reason that so many engineers and managers are trying to figure out why they can’t actually ingest and analyze the amount of data needed to make key business decisions, latency in hardware networking stack as well as in the storage protocol and enablement stack. One can talk about IOPS, one can talk about bandwidth and throughput, but without a perspective on your true latency as it exists in your deployment, there is no perspective on the other benchmarks, it’s all about latency, and too much of it. That’s where Apeiron comes in.
Apeiron’s CaptiveSAN is the world’s fastest, near-zero latency, native NVMe SAN (Storage area network), purpose built for storage aware and HPC (High Performance Computing) applications
Apeiron’s patented technology removes the legacy storage complex, and along with it, all of the application starving latency inherent within. The novel CaptiveSAN network, based on a lightweight hardened layer two ethernet (hardware only) driver with transport delivered across the most cost effective 40\100 GB\Sec ethernet infrastructure, utilizes a minuscule 4B encapsulation in the process of moving data packets intact, completely addressing current latency, capacity, bandwidth, and performance constraints.
Storage in a headless state with CaptiveSAN, allows for the unfettered transfer of data in it’s native NVMe format without the payload present in current technology, exponentially reducing latency, while linearly scaling performance in what is already the world’s fastest and most scalable storage network. 18.4 + Million IOPS, 96GB\Sec bandwidth and 720TB per 2U chassis, with an unheard of 1.5-3.0 µS of added latency. Apeiron’s CaptiveSAN is so fast and with so little latency, that as a SAN, it actually appears to the application and server as captive DAS storage, the only of it’s kind. CaptiveSAN blends the best of SAN, Scale-out, and Hyper-Converged technologies with up to an 80% reduction in footprint and cost. Unthinkable, but true. Unlock those IOPS and gain access to every last drop of your bandwidth by removing the latency bottleneck. Apeiron’s near-zero latency CaptiveSAN solution is the missing piece to your splunk issues and challenges.
CaptiveSAN can help you mitigate and remove completely your Splunk challenges and performance issues. Flat out, nobody can touch the Aperion Splunk Appliance performance benchmarks in both optimal and real world application showdowns.
Bottomline, we have removed the IO bottleneck entirely and have created an environment whereby now, the application and the CPU are the bottleneck, get every last drop of performance, if you want more, that’s Intel’s problem to solve!
*Industry averages for Splunk> indexers is 100GB-300GB per indexer per day, and 70-80GB per indexer per day with standard Splunk> ES queries running concurrently.
It’s all about the care and feeding of your application. Satisfying the performance your storage aware application craves is what we are all about. Download the white papers below and see how we crush the competition when it comes to scale-out speed and density.