Why storage is a critical player in a business agility game plan
Today, data is the engine of business success. Downtime is deadly, and even a slow response time can be hazardous to the health of the business. But how are businesses achieving the performance and speed required today in an environment of increasing complexity and rapid data growth?
Recently, Nihal Mirashi, Senior Product Marketing Manager at Pure Storage, and Joe McKendrick, Senior Analyst for Unisphere Research and Editor-in-Chief for Database trends and applications, explained how organizations are revising their game plans for business agility and resiliency and the role the right storage solution can play. The conversation, recorded during a Pure Report Podcast, was moderated by Rob Ludeman, Director of Solutions Marketing at Pure Storage.
The wide-ranging conversation focused on the need for high availability requirements, the rise of open source databases, the role of the cloud, the push for digital transformation, and the key capabilities organizations should look for in a technology partner. in order to achieve their data-driven goals.
Slow is the new down
If time is money, slowness is the new decline, according to Mirashi and McKendrick. Years ago, McKendrick said, he visited a converted factory that had been turned into a disaster recovery center equipped with cradles and supplies to support workers as they restored data from backup tapes. to get their businesses back up and running after catastrophic data loss. Fast forward to today, and data recovery should be immediate. The estimated cost of downtime increases every year, and even slow response times can be devastating. “Technology has moved on where things need to be instant,” Ludeman said. Okay, McKendrick cited a survey by Unisphere Research in which data professionals were asked how long they would wait on one ecommerce site before moving on to another. Their response, he said, was no more than 7-10 seconds, even for data professionals who understand all the work behind the scenes better than anyone else.
Open source is spreading
Another big change in recent years has been the disruption caused by open source databases, Ludeman said, as they moved from test and development scenarios to mission-critical production environments. Many of these open source databases are cheaper to license, are scalable, well suited to processing unstructured data, and often provide faster time-to-market value. And while they’re by no means free, they’re often more lightweight, flexible, and conducive to experimentation than other more traditional options.
“We are seeing the use of open source databases in a variety of use cases and industries,” said Mirashi. Financial services and fraud detection is a common use case, Mirashi said, explaining, for example, that there are financial services companies that have built their own fraud detection systems and, in the back , they have open source databases because of the huge growth in data volumes, with a lot of this unstructured data.
“It’s the old adage of the right tool for the right job,” Ludeman said. “Open source databases are here to stay and they are common,” added Mirashi, noting that most companies have a mix of open source and commercial databases. “It all comes down to being able to take decisions in real time. “
DevOps and DataOps for agility
With agility becoming a key priority for many organizations, DevOps and DataOps are also gaining traction, McKendrick noted. With DevOps, development teams work closely with operations teams to coordinate continuous software delivery processes, while DataOps helps ensure the flow of data throughout the organization in support of the democratization of software. analysis.