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What are the challenges that CIOs and CTOs are seeing today with data infrastructure?
The “TCO death spiral”. CIOs and CTOs are seeing a TCO death spiral from the need to build highly responsive applications that can analyze data in real-time and be actionable. There are too many products to integrate and maintain and a growing skills gap. Focusing on creating an open, multi-cloud stack purpose-built for modern data apps with serverless and powerful APIs will save enterprises and developers money and ensure their tech stack is built for today and the future.
What are some of the resulting decision factors in strategic data technology choices?
Technology leaders want a cloud-native stack (ie, built on Kubernetes) that’s open with the freedom to run on multiple clouds, providing a consistent deployment model for cloud and hybrid. But they also want to make their developers more productive by simplifying the way they build data-driven apps.
Finally, with data infrastructure costs skyrocketing, better economics and lower total cost of ownership are key factors to consider when choosing data technology.
What are the key issues and success factors in modernization?
Legacy data infrastructure is costly to operate, hard to scale, and contributes to database sprawl.
Enterprises need to build an Open Data Stack for the future. One that is Kubernetes-based, Developer ready and Cloud-delivered. All roads lead to modern apps built on hybrid and multiple cloud architectures, using microservices and containers. Invest in that!
Successful modernization also requires global scale with zero downtime tolerance. We see over 90 percent of the Fortune 100, along with the internet’s largest applications including Netflix, Uber, and eBay, using Apache Cassandra due to its unparalleled linear scalability and 100% uptime.
What business impact should technology leaders be looking for post-modernization?
First, how fast can you change your value proposition? When the pandemic started, Home Depot moved to curbside pickup in less than 30 days with a 100% increase in their Q2 sales. How? A data architecture that unlocks the ability to ship data products fast and scale modern data apps quickly.
Secondly, are you able to bend the TCO curve? Innovations like modern developer APIs, Kubernetes, and serverless data dramatically simplify operations and speed up development as well as eliminate up to 80% of capacity spend.
Finally, can you easily scale from your initial project to a wider program or global enterprise platform? A successful modernization project creates real and transformational outcomes and sets you up to scale your innovation and success.
Author
Chet Kapoor
CEO & Chairman,
DataStax
