Defining This Next Tech Cycle

Trends in technology shaping this next tech cycle: total data volumes at zettabyte-scale, the proliferation of public cloud services, gigabit per second broadband and wireless services, and CPU transistor and core counts continuing to grow.
Spike proteins of the Delta and Omicron COVID-19 variants, showing the new mutations in the viral pathogen. However, just knowing that there are differences does not mean scientists yet understand the pragmatics of what each difference does or means for human health. Source: New York Times / Bay Area News Group

“Great! Now Make it All Multi-Cloud!”

Also, this next tech cycle is not just the “cloud computing cycle.” AWS launched in 2006. Google Cloud launched in 2008. And Azure formally launched in 2010. So we’re already well over a decade past the dawn of the public cloud. Yet this next tech cycle definitely builds on the ecosystems, methodologies and technologies these hyperscalers provide.

Computing Beyond Moore’s Law

Underpinning all of this are the raw capabilities of silicon, summed up by the transistor and core counts of current generation CPUs. We’ve already reached 64-core CPUs. The next generations will double that, to a point where a single CPU will have more than 100 processors. Fill a rack based high performance computer with those and you can easily get into thousands of cores per server.

Evolving Methodologies: Agile and Onwards

Graph showing how Continuous Integration (CI) and Continuous Delivery (CD) evolved independently. They were eventually conjoined by the term “CI/CD,” whose popularity as a search term only began to rise c. 2016 and did not displace the two separate terms until early in 2020. It is now increasingly rare to refer to “CI” or “CD” separately. Source: Google Trends


And it’s not enough. We’ve already seen software supply chain attacks with SolarWinds, low level system attacks like Spectre, Meltdown and Zombieload, or human-factor threats like viral deep fakes and millions of fictitious social media accounts using profile images generated by Generative Adversarial Networks, never mind millions of IoT-enabled devices being nefariously harnessed for Distributed Denial of Service botnet attacks. Plus, just recently news broke of the vulnerability of log4j — our best wishes to anyone patching code this holiday season.


This next tech cycle is already upon us. You can feel it in the same way you’d yearn for a major life or career change. Maybe it’s a programming language rebase. Is it time to rewrite some of your core code as Rust? Or maybe it’s in the way you are considering repatriating certain cloud workloads, or extending your favorite cloud services on-premises such as through an AWS Outpost. Or maybe you’re actually looking to move data to the edge? Planning for a massive fan-out? Whatever this sea change means to you, you’ll need infrastructure that’s available today in a rock-solid form to take workloads into production right now, but flexible enough to keep growing with your emerging, evolving requirements.

Learn More at Scylla Summit 2022

To discover more about how ScyllaDB is the right database for this next tech cycle, we invite you to join us at Scylla Summit 2022, this coming 09–10 February 2022. You’ll be able to hear about the latest features and capabilities of ScyllaDB, as well as hear how ScyllaDB is being deployed to handle some of the most challenging use cases on the planet. If you are building your own data infrastructure for this next tech cycle, find out how ScyllaDB can be right at the beating heart of it.



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