The evolution of application development has created new storage issues that require new storage solutions. Managing datasets that may exist only temporarily, and rapid, repeated cycling and testing require fast provisioning, movement and release of storage on demand.
In a traditional environment, moving data from one location to another can be a painful process. Lumen Network Storage makes it easier for developers to distribute the same data to multiple locations, set policies, and manage ad hoc requests on demand from a network storage pod. Because data originates and is stored at the edge, it doesn’t travel to the core datacenter and back for distribution to development teams, resulting in a faster and more cost-efficient process.
Lumen Network Storage brings storage to within milliseconds of wherever data is created and consumed. Because storage is built into the network, development teams working at the edge have the power to ingest data, reduce data, take snapshots, make quick decisions about how and where to move data, and send simultaneous copies to multiple locations.
Lumen keeps the latest storage technology available throughout the network without requiring solutions that will eventually become obsolete. Choosing Lumen Network Storage allows businesses of all sizes to get enterprise grade storage where it’s needed, and to pay for it only when it’s needed.
This unprecedented power to have very low latency wherever data lives is a smart investment of IT dollars that allows businesses to scale up and down, try out new business expansions, and mitigate cost and risk.
For Application Development and Testing, assume the primary application runs in a core data center and consumes high-performance Storage Fabric tier. This is optimal for production and consumer experience, but expensive for testing. When data is replicated in real-time to remote data centers, performance logic is configured to automatically tier data to a lower cost tier at one or more remote locations.
Ad hoc snapshots can be created for test runs, and data can be placed on a like-for-like performance tier to accurately simulate the production environment for stress testing, providing much more accurate results.
Moving these persistent workloads between clouds is also easier. Network Storage reduces complexity and retains data control because the storage presentation layer doesn’t change.
This scenario for efficient space and data protection can also be used for Application Lifecycle Management. For example, assume data is stored on a Network Storage Pod and accessed only for a monthly processing activity.
Based on pre-defined rules, data can be migrated to object storage, where incremental changes are replicated. On schedule, data is pulled from object storage to middle tier for processing. After processing, a space efficient snapshot is created for storage on the pod, and middle tier data is removed.
By connecting devices and developers at the edges of your network, Lumen offers a solution that provides more accurate results at a fraction of the cost.
Accommodating ever-growing amounts of data isn’t the only challenge when considering storage solutions. There’s also how this growing volume of data is created and consumed — at the edge, often by machines, and in larger datasets for content like online videos, healthcare machines, and game applications.
Managing the volume and latency of data transferred from the edge to wherever it is being centrally analyzed becomes harder. It also becomes costly to store data so it’s highly available, whether in a data center, private cloud, or public cloud.
The solution is network storage, which brings cloud computing and storage capabilities to data wherever it is — in a hospital, bank branch, satellite office, sports stadium or arena, retail store, or restaurant.
Banking institutions, for example, can combine edge computing with smartphone apps to better target customer services. They can also provide ATMs and kiosks with the ability to gather and process data, making them more responsive and able to offer an expanded menu of features.
In high-volume financial trading, a millisecond of lag in a trading algorithm computation can mean substantial losses. Edge computing architecture places servers in data centers near stock exchanges around the world to run resource-intensive algorithms as close as possible to the data source, providing them with the most accurate and up-to-date information.
Restaurants can ingest Internet of Things (IoT) data into a Network Storage Pod — i.e., a Point of Presence (POP). There, data can be processed at the edge, consumed at low latency at the store, and replicated to a core data center for aggregated analytics.
Edge computing offers the healthcare industry new possibilities for delivering patient care. IoT devices — capable of delivering vast amounts of patient-generated health data (PGHD) — can offer healthcare providers access to critical information about their patients in real time, faster and more efficiently than centrally located and often incomplete databases. Medical devices can also be made to gather and process data throughout the course of diagnosis and treatment.
Edge will advance a broad set of industries but not if they can't deliver their insights close to real-time. For example, if sports teams want to provide fans the ability to watch games from any virtual location inside a stadium or arena, they need video and audio equipment that can serve the experience within the same time delay as a live TV broadcast. This requires aggregating data from thousands of cameras, using Artificial Intelligence to align the views, then passing content into video networks.
Connectivity needs are also expanding as sports complexes grow to include restaurants, shops and other businesses. The number of security cameras need to provide coverage has grown from a few hundred into the thousands, and low latency is needed to process this data.
Surveys show customers will pay more for the same thing if the experience is more satisfying. The low latency a business can achieve by placing data and storage milliseconds apart results in a personal, predictable, consistent customer experience. Lumen Network Storage helps businesses prevent frustration and churn, and returns potential lost revenue to the bottom line.
Driverless cars won’t take over the roads anytime soon, but data transmissions from connected vehicles will put an increasing strain on network infrastructure, compelling the proliferation of new computing and storage solutions.
Worldwide shipments of connected vehicles this year will reach 51.1 million units, an increase of 45.4% over 2018, International Data Corporation estimates. By 2023, 90 percent of all vehicles shipped in the U.S. and 70 percent worldwide will be shipped with factory-installed or "embedded" connectivity, IDC said in its first connected vehicle forecast.
Their data will enter into the same flow of traffic produced by cellphones, laptops, and other connected devices. With so many more vehicles gathering and transmitting data, bandwidth strains are seemingly inevitable.
While a desktop computer’s lag when accessing a network is inconvenient, lag for a connected automobile traveling at highway speeds is potentially life-threatening. To safely operate, these vehicles need to gather and analyze vast amounts of data about their surroundings, directions, and weather conditions. They also need to communicate with their manufacturers to receive maintenance alerts and send data back regarding usage, as well as share information with other vehicles, traffic apps, and local municipal networks.
Ensuring that data can be collected, processed, stored and transferred immediately and securely is critical. With With Lumen Network Storage, data transmitted or received by the vehicle can travel through edge computing servers and be stored on the network with almost no latency and uncompromised security.
A network of edge data centers positioned to collect and relay critical data offers unparalleled reliability. Software updates, for example, are growing larger and can require more time than a vehicle will idle at an intersection. Applications running in edge-cloud data centers can push code updates to vehicles sitting in parking decks without burdening network infrastructures.
Or, a network of low-latency edge pods can push updates a bit at a time as a vehicle travels along a city street. This improves performance and allows connected devices to act on fast-changing data in milliseconds.
Because Lumen Network Storage is built into the network, it has the power to ingest data, reduce data, take snapshots, make smart decisions about how and where to move data, or send simultaneous copies to multiple locations.