How Enterprise Storage Can Reduce the Cost of Video Surveillance - NetApp Certification

Organizations around the world are growing their video surveillance solutions at a faster rate than ever before. With more cameras and higher bandwidth requirements comes the need for more storage, which can get costly very quickly. On the surface, traditional NVR-based or DVR-based video storage solutions may seem cost-effective when compared to enterprise-grade storage, but the more cameras you add, the more costly they become to manage. And it’s not just about the costs to own and manage that equipment. Do you know the true cost of downtime in your video surveillance environment?

What’s Really at Stake?

Prisons and correctional facilities around the world rely on video surveillance to keep their staff safe and guard against frivolous lawsuits. Using video, prison management can easily dismiss claims from inmates by proving that events never took place or happened differently than inmates describe. And by keeping tabs on inmate activities, security staff can make sure that their personnel are safe and monitored at all times. If their video surveillance goes down for any amount of time, the prison risks losing valuable evidence that can be used to protect the prison from legal penalties. Worse, failed surveillance can put their staff in harm’s way.

Manufacturing companies also rely on video surveillance to streamline operations and make sure that both staff and machinery are operating at maximum efficiency. This type of operational monitoring not only helps cut costs by reducing wasted time and effort, but it also means that the organization doesn’t need to hire as many managers to supervise factory floors and warehouses. Without available and resilient video surveillance, these companies lose out on valuable insight that they could use to run their businesses better and more cost-effectively.

Buy the Best and Only Cry Once

Off-the-shelf video surveillance storage solutions, although providing a low entry point, can often end up costing much more than enterprise-grade equipment over the lifecycle of the solution. With a traditional video surveillance storage solution, you need to add more and more DVRs to keep up with capacity growth. Cheap, white-box storage has a high rate of failure, meaning that equipment will need to be replaced more often, particularly when it is pushed to its limit in terms of capacity and performance. When those systems do need to be swapped out, you’re using up valuable IT hours that could be spent providing value to the business (to say nothing of the downtime incurred while the systems are undergoing repair). These costs add up, and, suddenly, that “cheap” solution isn’t looking so cheap after all.

With a proven video surveillance storage solution built on NetApp® E-Series storage systems, you can be sure that you’ll have the capacity you need, when you need it, without having to worry about losing critical data or wasting time maintaining your infrastructure. E-Series is a tested platform that’s purpose-built for your video surveillance solution. You get petabytes of capacity with always-on availability, so you never need to stress about adding more cameras or increasing your resolution

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Simplifying Video Surveillance Storage with NetApp E-Series

The lines between security and IT organizations are being blurred. With the rapid proliferation of video surveillance data and the rise of intelligent video management systems, security personnel now find themselves responsible for fast-growing IT infrastructure. In addition to keeping people and property safe, they now must also protect and manage terabytes—or even petabytes—of critical data.

Remember When Video Was Simple?

It wasn’t long ago that video was recorded directly onto the camera or fed into a central hub with closed-circuit television (CCTV). Yes, back then, video surveillance was simple—it wasn’t always reliable, but it sure was simple. As concerns around reliability, privacy, and centralization of data have become more prevalent, video surveillance has had to evolve. For many security operations, this evolution has resulted in an increasingly complicated infrastructure with myriad technical processes that require more time and effort to set up and maintain.

Who’s in Charge Here?

Ultimately, it is the responsibility of the security team to decide what video surveillance solutions to deploy and how to deploy them. But when it comes to the infrastructure to support those solutions, it is not always clear where that technology should live and who should manage it.

Enterprise storage can be foreign territory for the security organization. Security personnel would rather spend less time managing IT infrastructure and more time doing their jobs. However, at many organizations, IT doesn’t have the bandwidth to take on another complicated workflow. Furthermore, any additional budget is better spent upgrading cameras and adding capabilities—not adding headcount.

Making Enterprise Storage Simple Again

Five network video recorders (NVRs) are easy to manage. Fifty are a headache. When you get to 100 or more NVRs, it can be a nightmare. That’s the sweet spot for NetApp video surveillance storage solutions. NetApp® E-Series’ high-density, 60-drive shelves can support up to 558 cameras each. Instead of managing hundreds of devices independently, you can manage more than 270PB of storage from a single pane of glass.

NetApp E-Series systems offer purpose-built, high-performance, high-density storage, making them ideal for video surveillance workloads. E-Series storage is reliable, easy to deploy, and easy to manage, so you can grow your video surveillance deployment without adding complexity.

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Accelerate Your Oracle and MongoDB Databases with MAX Data

MAX Data does this how? MAX Data is software that runs on the application server and provides a file system that spans the PMEM and the storage tier. Applications stored on this filesystem get instant access to the data for both reads and writes. With MAX Data, you get vastly improved application performance with high throughput and ultra-low latency.

A new evolution of flash storage and a new class of memory is promising to change how applications access data, and NetApp MAX Data will enable and accelerate adoption of this exciting new technology.

This is critical because real time data requirements are increasing the load on applications and associated infrastructure. Our customers want to get the most out of their data; Response times and low latency are key attributes for an agile enterprise and the volume of data collected by organizations is growing exponentially.

Accelerate Your Business

With this huge explosion of data, companies are struggling to meet expectations across all application tiers due to slow, unpredictable data access impacting their customers, their IT staff, and their business.  Upgrading to flash solve many performance challenges, but there are still customers looking to save tens to hundreds of microseconds especially when the gain is in the hundreds of thousands of dollars per microsecond (like in trading or retail solutions). Other vendors offer flash performance, but in silos, often without integrated data management, protection, efficiency and availability. While some improvements are noted, IT staff still wants and needs to bring their applications to the next level of performance and quality of service while reducing costs.

Oracle

Our early results show that you can get 60% more IOPS with four times less latency for your Oracle workloads. Another way to look at this would be to consider getting the same throughput using 40% fewer servers while still seeing four times lower latency. Your applications will also gain data persistency and enterprise-grade data services, making this a completely viable solution to enterprise applications.

MongoDB

The graphic below shows the power of MAX Data running in a MongoDB environment. This test shows results using a workload generator to query 7,000 documents 10,000 times in a MongoDB database. Each time, the query was randomly reading from a different range of 7,000 documents. This example can be viewed as mimicking a website like Reddit, where one subject can have thousands of threads and threads can have hundreds of comments. The result: MongoDB queries are completed three to ELEVEN times FASTER!