For anyone building an online game they don’t know where their customer group is coming from. Let’s say you are a game studio in Vancouver and your database is in a data center in Seattle. All of a sudden your game takes off in India. Because of the distance from the player’s device to the database, the game starts to slow down and disrupt play. This frustrates the gamer and the studio that worked so hard to get the customer now stands to lose them.

In this situation the game developers have to go and set up another database in India to serve that market. But then the game takes off in Germany. The developers have to do the same thing again. This all costs time and money. The developers want to focus on creating an engaging game, not on IT management.

With Bluzelle’s distributed data cache, there are data centers dispersed throughout the world and the game data is replicated everywhere at the same time. This means that no matter where the customer is they will always get the best performance possible. The game developer doesn’t have to worry about setting up each time as the data is already there.

Media & Entertainment

Streaming video and audio now dominate the majority of the bandwidth of traffic on the Internet. While media companies typically have their own proprietary technologies to handle the specialized needs of video and audio streams, there are vast amounts of data being collected, generated, and disseminated. Also called metadata, these include:

  • Catalogs. The lists of movies, shows, songs, including descriptions, languages. All this is needed so that customers can view a list of items to watch or listen to and make selections.

  • Preferences. Millions of customers all over the world are using the media app that itself must have access to the customer’s preferences to deliver a suitable experience.

  • History. Modern media apps must have the AI smarts to do analytics and suggest what the customer wants, determining what to watch or listen to based on historical consumption habits of that customer. This historical information must be highly and performantly available.

  • Ratings. A large part of the streaming experience is the crowdsourced ratings that others have given to the various products in the catalog. Customers depend on these to make choices on what to watch or listen to. These ratings need to also be available to bring real value to the customer’s selection process.

This metadata is critical to being competitive and need to deliver results for the use fast. Bluzelle can be a cache for this metadata, enabling reach to a global customer base, and giving the streaming media company an availability and performance advantage.

Internet of Things

Lowered Operational Costs

Gartner estimates that there will be 14.2 billion connected things in 2019, increasing to 25 billion by 2021. New communication technology innovations like 5G and NB IoT will enable IoT use cases in more remote areas, creating IoT networks that are even more highly decentralized and highly distributed. Designing a data caching and storage architecture to meet these requirements have proven to be involved and require significant OpEx and CapEx investment. Bluzelle’s NoOps architecture enables these IoT architectures to instantly have global reach without the need for additional operational complexity.

Expand the Data Edge

IoT use cases can be highly latency sensitive, and much of the computational burden continues to move to the edge of the network (Fog Computing). While Fog Computing is an effective strategy to push compute closer to the device, it is limited in the amount of data fog compute device can utilize for performing operations. Bluzelle cache low-latency data provider can enable Fog Compute systems to have an opportunity to expand both the data visible from local IoT devices, but also have access to data produced by other Fog Compute peers.

On-Demand Capacity

Cisco estimates that the worldwide data production for IoT will exceed 500 zettabytes of data. The volume of data requires Data storage architectures for IoT to have to provision for peak demand. IoT data production is often bursty, and peak demand can be several orders of magnitude higher than the median which puts even more burden on an IoT data storage architecture. Bluzelle’s on-demand storage capacity allows for IoT storage architecture to dynamically scale to handle data production no matter the demand. The Bluzelle network can utilize both public and private nodes to ensure that a storage cache is available no matter the demand.