WHY EDGE COMPUTING IS CRITICAL TO HYBRID IT & CLOUD SUCCESS

Data – generated by machines and humans alike – is growing at a massive

rate and demands high performance.

Traditionally, IT teams decide the information that stays local.

However, the modelcan’t scale.

There’s too much data growth to keep it all local, yet sending data to the cloud introduces performance issues, latency

challenges and high access costs.

Distributed architectures help bring data to the edge of networks, where it can be analyzed and interacted with in real time

– as if it were local.

Gartner has recommended bringing

edge computing to the enterprise data center

to achieve the full value of hybrid IT.

Companies and colocation providers have much to gain

from the edge approach.

The same way content delivery networks (CDN) power online streaming services

by hosting data near users…

…service providers can store data near their users, cutting latency while supporting constant data growth and

opening the door to cloud connectivity.

Edge computing benefits companies that:

• Accumulate massive amounts of data locally

• Demand high performance

• Have a hybrid cloud strategy

• Are looking to avoid data access costs

Edge computing fuels primary applications:

• Operational analytics

• Machine data analytics

• Financial trading and capital markets

• Multimedia content

• Any app that requires high performance and has significant data growth

Meanwhile, cloud deployments can thrive, companies can embark on new projects

and users can take advantage of the transforming data center landscape.

Balancing on-premises infrastructure, enterprise data centers and regional

cloud hubs is a big challenge for IT teams.

However, finding stability on that edge is at the heart of success for hybrid IT

and cloud adoption overall.

Learn how to balance your edge computing strategy.

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