We are pleased to share Cazena’s latest infographic, a visual representation of what’s required to deploy and operate your own cloud big data platform. Too many companies drastically underestimate these projects. So, our team collaborated, researched and cataloged what it takes to assemble and operate a production-grade cloud big data platform.
Obviously, salaries, services and pricing varies by region (we even include links, so you can research your own numbers). Your mileage may vary. But even a “small” 10-node cloud platform requires a multi-skilled team to handle the many moving parts.
The numbers on their own tell a big part of the story:
Even at a glance, it’s clear that you need a pretty impressive ROI equation to justify the DevOps required for ongoing support. It’s a phenomenon our founder Prat Moghe has dubbed “the Big Data DevOps drag” in a recent blog. That starts to explain why big data platforms to date have had such mixed results. Many practitioners and industry experts suggest that lack of skills, as well as unexpected cloud security and operations challenges are to blame for low success rates.
Clicking through the series of panels makes the overall challenge crystal clear: There are many, many components, people and processes required for cloud data platforms. The challenges come in the many kinds of integrations required, the many contingencies (known and unknown) and many potential points of failure – human, operational and technical.
Click the image to visit the complete infographic series and download the images. If you find this helpful, please share this content!
We hope this infographic helps better illuminate why big data platforms are so complex to build, operate and maintain.
But good news: there are alternatives. We designed Cazena’s Big Data as a Service solutions specifically to address this complexity problem, with software, automation and deep technical expertise. Cazena’s fully-managed model, automation and best-of-breed software partners help enterprises radically simplify data and analytics in the cloud.
- Learn more about Cazena, and read another comparison to DIY here on the What Is Cazena? page.
- Share your feedback with me: email@example.com.