Dawn of a new decade
The data centre is ever evolving, adding new demands with respect to its infrastructure and operations. It is thus essential to design one that delivers optimum performance and network reliability to meet today’s and tomorrow’s needs.
Improvements in network connectivity have led to the consolidation of branch offices into centralised data centres either in EDCS, public cloud platforms, or Saas applications. The arrival of 5G, the Internet of Things, artificial intelligence and machine learning have increased the need for edge computing, which processes data close to the point of generation.
This ensures that data is processed quickly even in low latency environments, and addresses privacy concerns that crop up when data is taken all the way to the server.
The traditional data centre needs to evolve to an open architecture that directly ties to the cloud. Public and hybrid clouds are here, and they will stay. The reason is simple. Public clouds provide software- defined networking, compute, and storage, making it easy to set up networks and a variety of configurations with a simple web- based admin console. Virtual private clouds with secure connectivity to enterprise data centres help in setting up hybrid clouds easily.
Today data infrastructure needs to be re- architected to address the growing scale and complexity of workloads, applications and AI/
IOT datasets. These constructs will involve multiple tiers of workloadoptimised storage as well as new approaches to system software.
On the consumer side, video traffic and OTA traffic has increased by leaps and bounds, and even faster networks have had a tough time keeping up with the increased traffic. This has led content delivery networks to cache and serve both static and dynamic data, and accelerator networks to accelerate the traffic via the fastest path between endpoints.
While cloud computing has traditionally served as a reliable and cost- effective means for connecting many devices to the internet, the continuous rise of Internet of Things and mobile computing has put a strain on data centre networking bandwidth.
Edge computing technology is now emerging to offer an alternative solution. This involves placing computing resources closer to where data originates or the “edge.” This reduces the need to transfer data back and forth between centralised computing locations such as the cloud.
We can expect strong growth in read- centric applications in the data centre, from AI, machine learning, and big data analytics to a variety of business intelligence and accessible archive workloads. These are driving a diverse set of performance, capacity, and cost- efficiency demands on storage tiers, as enterprises deliver increasingly differentiated services on their data infrastructure.
To meet these demands, data centre architecture will continue advancing toward a model where data storage solutions will be consistently provisioned and accessed over fabrics, with the underlying storage platforms and devices delivering to a variety of SLA’S, aligned with specific application needs.