By Nirav Shastri, Senior Digital Marketing Strategist, Space-O Technologies

In this highly technologically advanced era, where IT companies are competing heavily for their desired space, mobile apps too are following the bandwagon. With so much information being flooded with more personalized, more intelligent and responsive pages, companies require tools in place for machine learning, ingesting sensor data and managing unexpected surges in user traffic.

Driven by business demands, data centers have accepted the existing software architecture and DevOps methodologies using new technologies. There has been an increasing trend in the use of public and private clouds, and virtualization technologies now play an essential role in every organization’s infrastructure.

These trends give multiple benefits like infrastructure scale and elasticity, quick development and release cycles, and lowered operational costs.

So, here are  the top three reasons behind mobile apps requiring a new data center stack:

  1. Security: There have been data breaches which were highly publicized and other successful cyberattacks that have affected thousands of mobile app companies and cost billions of dollars. The data center must match the business requirements and depend on varied and relatively new cloud and virtualization technologies. The storage task is even more difficult.
  2. Large Scale of Data Storage: The availability of new digital data calls for the new storage, processing and database frameworks which are meant to easily scale the clusters of servers while easing down the process and speed of moving between the pieces. The same general patterns repeat time after time at Google, Facebook, Yahoo and Twitter.
  3. Real-time Data Sharing: Mobile apps require architecture for processing bigger data which needs new real-time technologies  for delivering fast and personalized experiences to customers wherever necessary. Some technologies grow at a faster pace like MapReduce, Hadoop, Cassandra and Kafka for making the design applications perform and scale together. New architectures such as micro-servers and containerization have been designed to address the problems that surface when trying to develop applications that run reliably at an extreme scale.

To sum up, engineering rich companies like Google and Microsoft have automatically solved the operating system capabilities for data center applications like Borg and Autopilot which automatically manages the resource allocation and high availability for the services and applications that run across millions of servers. So, it is the algorithms that decide where they have to run. These have become an imperative for the success of the new data center stack in the 21st century.


About the Author

Nirav Shastri is a Senior Digital Marketing Strategist at Space-O Technologies that is a Mobile App Development Company. He has 7-plus years of experience in the Information Technology industry that inspires him to share his knowledge and experience through articles. He also spends his time reading about new technology and watching motivational videos.