Vivek Tyagi, Director – India Business Development, SanDisk Commercial Sales and Support at
Western Digital Corporation
Cloud has been driving business capacities widely across sectors. Industries as diverse as retail, hospitality, and transportation are being redefined by the cloud. For many businesses, cloud computing can improve agility, process optimization, speed to market and cost reduction. Cloud services have basically three deployment models being the Private cloud, Public cloud, and Hybrid cloud.
According to Right Scale 2017 State of the Cloud Report, Hybrid Cloud is the preferred enterprise strategy. 85% of enterprises have a multi-cloud strategy, up from 82 % in 2016.
In India, cloud services are expected to cross $10 billion by 2020, driven by factors like investments to set up local data centres and the growing developer ecosystem. India continues to be a prominent market for cloud technology adoption.
We are in a data-driven age, and cloud infrastructure helps in managing this large amount of data. Cloud enables business to innovate, deploy quickly and manage maintenance costs.
Having the right architecture in place is inevitable before any cloud deployment or migration and it allows cloud platform benefits like scalability and agility on the application. To manage the massive flow of data coming through the cloud the datacentre also needs to be running in optimum conditions.
With the advent of cloud computing, businesses are both moving existing databases to cloud infrastructure and deploying new databases on infrastructure as a service. Database as a service (DBaaS) is a broad category that spans different deployment scenarios. One option includes installing database machine images on rented, cloud-hosted server and storage resources. Application and database owners have access to database functions via standard database tools and manage the cloud-hosted database on their own.
A different implementation of database as a service is where a service provider provides not only the underlying infrastructure but also the database engine of its choice. For example, Amazon AWS RDS provides users with a range of commercial and open source relational databases. These services include additional management functions such as database patching, backup, retention, geographic data distribution, replication, and recovery.
The change in datacentre storage infrastructure is driven by the four factors – cloud architectures, software-defined storage, the convergence of compute and persistence, and the growing adoption of flash memory.
As enterprises and service providers alike evolve their infrastructures to incorporate new technologies, enterprise providers are expected to bring specific expertise in integrating them into next-generation platform offerings.
Object storage is a key technology that has enabled hyper scalers to build cloud-scale infrastructure. A storage system needs to focus on addressing the cloud-scale challenges. It should be able to provide the foundation for the future of petabyte (PB) scale storage infrastructure. The system should be able to manage high-capacity demanding markets, including on-premise and off-premise cloud, life sciences, government/defense, and media and entertainment industry applications.
The cloud is no longer seen by many businesses as simply an alternative option, but as the next logical step for data storage and management.