Understanding Your Options for Extended Video Storage: Local vs. Cloud vs. Hybrid Cloud

Video cameras come in many shapes and formats, but one common fact unites them all—the amount of data they record and transmit. There are multiple means of storing and accessing this data, both locally on-premise and remotely in the cloud. Many industry leaders are forced to make cost and quality trade-offs when it comes to maximizing storage capacity on their cloud or local video recorders. Verkada’s hybrid cloud storage model eliminates many of these limitations, allowing users to maintain the complete coverage that they need.

In this blog, we’ll explore the strengths and weaknesses of on-premise and cloud video storage, as well as how Verkada’s hybrid approach combines the benefits of both for a predictable and consistent price.

Limitations of On-Premise Storage (NVRs & DVRs)

Most NVRs store their footage on a group of hard disk drives (HDDs). If your organization relies on NVR storage, you may be interested in learning about the common myths and misconceptions many users have about their strengths and limitations.

1) Reliability: According to a Backblaze study of over 25,000 HDDs running constantly for several years, hard drive failure occurs in three separate ‘stages.’ After a year and a half of use, 5% of drives suffered from mechanical failure. For the next 18 months, this metric dropped to around 1.5%. However, after the third year of use, an astonishing 12% of hard drives failed per year. That means any legacy NVR system that has been running for six years likely has around half of its drives non-functioning and in need of replacement.

Above is an image of the inside of a standard hard drive. Small motors spin the disk (or platter) and move the arm so that the read/write needle head can make changes to data anywhere on the disk. These motors frequently burn out and stop functioning after constant and prolonged use. The read/write head is also vulnerable to mechanical failure, ‘floating’ only a few molecules over the disk itself. If the hard drive is tilted or jostled, the head and the disk might touch, causing irreparable damage to both components.

Data from a drive that has failed is in most cases irrecoverable, especially if the internal disk has been damaged. This poses a significant issue for organizations that are required by law or policy to retain video for a defined period of time. Hard drive failure-induced footage loss might result in punitive action or fines.

2) Limited Storage: The other issue that many NVR users struggle with is that of limited storage capacity on the devices themselves. NVRs and the hard drives they depend on have a finite amount of space that frequently forces organizations to make sacrifices in the performance and quality of their surveillance solutions. These sacrifices take various shapes and forms:

• Image Quality: Quality of footage is often the biggest culprit to a maxed-out NVR. Video storage size depends on a number of factors, including framerate, camera resolution, and the compression method used on the stored footage itself. In general, footage that is clearer, smoother and less pixelated takes up more storage space. In most cases, better quality footage is more useful to organizations employing surveillance systems--faces, license plates, and other identifiable details are easier to capture when viewed in higher quality. However, a finite amount of storage space means that these organizations must make a choice between storing lower quality footage and simply storing less footage. In many cases, surveillance installations that feature expensive 4K/8MP cameras don’t even have the ability to store video in its native resolution without compressing it, effectively rendering these powerful cameras no better than their cheaper counterparts. When faced with the dilemma of insufficient storage capacity, many security stakeholders are forced to prioritize certain cameras that are placed in critical areas that require continuous monitoring. This system of prioritization is ineffective at scale where there may be several subjective levels of importance.

• Motion-Based Recording: Another method of getting around the issues caused by a finite amount of storage is to only record footage when absolutely necessary. Monitoring camera feeds manually and only recording what is needed is infeasible, and would result in many missed incidents over time. For this reason, most modern surveillance cameras can be set to record when triggered by notable events like significant motion. These features are effective to an extent, but are inconsistent and plagued by false negatives. Especially in cases where missing footage is unacceptable, such as those that involve legal action, making the choice between full hard drives and lost video is something of a catch-22.

Limitations of Cloud Video Storage

Cloud-connected cameras solve many of the issues noted in the above section. For example, digital storage on the cloud is effectively limitless, solving the issues caused by finite NVR storage. Similarly, cloud storage is almost always backed up redundantly across multiple servers, meaning that even in the rare case of cloud drive failure, footage will be safely stored in two or three different locations. That said, cloud cameras feature some unique problems related to their constant dependence on remote storage. These problems can be organized into three groups.

1) Bandwidth Usage: Because these cameras stream footage continuously to the cloud, they consume a constant and sizable amount of bandwidth whenever they are active. The consequence of this constant traffic may be felt by all users who share the network, especially if cloud cameras are deployed at scale. The inadvertent result of excessive bandwidth consumption is often slower network speeds, lapses in network service, or even overage costs with unpredictable costs.

This is an example of a network that has hit its bandwidth cap of 20Mbps. From around 5:15 onwards, users would experience slow network speeds, increased packet loss, and even dropped connections.

When experiencing network overage, administrators are faced with a lose-lose scenario: either throttle network traffic which will impact the performance of both cameras and users, or purchase more bandwidth which may be impossible due to budgetary constraints.

2) Cloud Storage Costs: While cloud cameras are freed from the space limitations of unreliable and finite NVR hard drives, cloud storage is not a perfect solution to the problem. While the cloud is effectively without an end to its video storage capacity, every additional gigabyte of storage used incurs additional fees. A standard camera streaming in HD quality for 12 hours per day requires over 2.5 TiB of storage per month, resulting in AWS S3 fees that total over $700 per camera per year. Especially with large camera installations, these types of storage models can become expensive very quickly. As a result, many security stakeholders make sacrifices to their cameras’ performance in order to keep costs from growing exponentially. In effect, while the cloud theoretically offers the potential of infinite footage storage, administrators with budgetary restrictions are forced to make the same concessions to video quality and uptime as if they had an NVR with limited HDD space.

3) Network Outages: Because cloud cameras immediately back up all footage to remote storage, they are completely dependent on proper network functionality. Any intermittent interruption to the network means that footage will not be backed up. If the cameras do not have access to local storage in this case, footage will be permanently lost. Lost footage might result in a dangerous lapse in compliance or an incident which is impossible to resolve.

Hybrid Cloud Storage: Solving Key Limitations of Local and Cloud Recorders

Verkada has implemented a hybrid solution that solves the major drawbacks of both closed-circuit NVR systems and cloud-connected cameras. Hybrid cloud architecture combines the reliability of local video memory with the limitless computing and storage potential of the cloud. The product of this novel combination is a video security platform that is dependable, resource-lean, and simple for the end-user to employ.

1) Reliability: Verkada cameras feature built-in high capacity onboard storage which is more reliable than that of legacy NVR solutions that use mechanical hard drives. In addition, configurable cloud backup ensures that when data is not stored locally, it is being protected by AWS’s trusted servers. Reliability is one of AWS’s five pillars of the Well Architected Framework, ensuring that data resiliency is integral to the ongoing operation of their cloud services. Read more about AWS’s Reliability here.

2) Security: As soon as Verkada cameras are installed, they are protected by our industry-leading cybersecurity protocols, including multiple factors of authentication and encrypted in transit and at-rest. These protections make Verkada products perfect for regulated industries, especially those who must comply with rules such as PCI and HIPAA which require strict data protection protocols for footage. Unlike traditional CCTV systems, which are frequently plagued by unaddressed security vulnerabilities for months or years, Verkada devices are protected by an entire team of security experts and penetration testers who seek out and patch vulnerabilities before they ever affect users.

3) Network Efficiency: Verkada cameras were designed to make as small of an impact as possible on the network performance of the organizations they protect. A typical cloud-connected camera uses about 1 Mbps when recording HD footage. In contrast, when in their default recording mode, Verkada cameras only consume a minuscule 20 kbps. This makes them much more practical to deploy at scale without affecting network bandwidth for other users.

The key is Verkada’s unique hybrid cloud architecture. While recording normally in their “steady state” mode, Verkada cameras store footage locally to onboard storage and only transmit thumbnails and metadata to the cloud. This approach allows users to intelligently and selectively stream only the footage they need. Additionally, for local viewers on the same network, streaming consumes no extra bandwidth- even for multiple simultaneous streams.

While Verkada cameras can locally store up to a 365 days of continuous video, the cloud license offers unlimited archiving in AWS. Because the cameras can continuously store footage during all hours, organizations can set their cameras to perform a backup during off-hours. This enables permanent retention of footage at scale without impacting network performance for other users.

Video Storage Options Infographic: Local, Cloud and Hybrid-Cloud

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