Tintri Field CTOs weigh in on what they thought was the biggest or most surprising tech trend or event of 2017 and what they expect to see in 2018.
Over the past several years, many tech companies have added "Field CTOs" to help ensure that new products and features better meet customer needs and to bridge the gap between engineering teams, field operations, and customers.
In 2017, Tintri promoted three of its deepest thinkers to Field CTO: Chris Colotti, Kristopher Boyd, and Matthew Geddes. This blog post introduces our Field CTOs, who also describe the most surprising thing they saw in tech last year…and what they’re looking forward to this year. Follow them on Twitter, to stay up-to-date with their latest news and perspectives.
Chris spends much of his time interacting with customers and partners, helping to develop use case architectures for Tintri products and services. He also acts as a liaison between the field and Tintri’s engineering and product management. Chris is active in the VMware User Group (VMUG) community and speaks at many VMUG events. Before coming to Tintri, he spent close to a decade working for VMware as a Principal Architect.
Specialty: virtualization and cloud / Twitter: @ccolotti / Chris’ Blog
In his role as a Field CTO for Tintri, Kris helps customers and partners to develop use case architectures for the Tintri platform and software—with an emphasis on VDI. Prior to Tintri, Kris worked as an Architect and Product Manager at F5 and then VMware. Kris remains an active speaker on the VMUG circuit and has authored numerous papers and best practice guides.
Specialty: VDI / Twitter: @VirtualBoyd
Matt is responsible for the Microsoft's ecosystem including Hyper-V. Since joining Tintri three years ago, he has led Tintri’s multi-hypervisor efforts, advocating for customer choice above all. This makes him perfect for the Field CTO position where he’ll represent your interests in the Tintri product pipeline. Before joining Tintri, Matt worked at several storage companies including EMC, Nimble, and Parascale.
Specialty: APIs and coding / Twitter: @MattGeddes
Expect to see Chris, Kris, and Matt as keynote speakers at events throughout the year such as VMWorld, Ignite, and VMUGs. In addition, they will be advising on product roadmaps, engineering, and product management to shape Tintri’s offerings and direction in the coming year and beyond.
To help you get to know our field CTOs better, we asked them to reflect on 2017 and look ahead to 2018.
I think one of the biggest events of 2017 was the release of VMware Cloud on AWS. While there are a lot of considerations to leveraging this new offering, the ability to have a vSphere platform running on AWS hardware will seem very attractive to VMware customers right away. Time will tell how the usage, costs, and movement of virtual machines (VM) plays out. One thing that is important to remember is that public cloud is not always the most appropriate place for all workloads. The public cloud outages earlier this year serve as a reminder that it is not always wise to put all your eggs in a single cloud basket.
How quickly mobile machine learning became a reality is my biggest takeaway from 2017. Google announced TensorFlow, and it changed the game in terms of how mobile apps get developed. This is important because the number of users is hundreds of millions, if not billions. This could make big data even bigger. The insights from this type of learning will have a real impact on how devices and apps are developed in the very near future.
Not much of a surprise at all, but hyperconverged vendors have had to open up a bit more about not being a silver bullet as advertised. It’s certainly not a one-size-fits-all solution, and we’ve seen hyperconverged architectures struggle beyond a few nodes—not to mention the implied promise of web scale.
2018 will be the year that DR moves from being a secondary issue to a primary focus. The last 12 months have seen Mother Nature throw numerous natural disasters at us, which has magnified the need for a formal DR strategy. The challenge is that organizations are struggling to find DR solutions that work simply at scale. It’s become somewhat of the white whale to achieve, but there are platforms that are designed to scale and protect workloads wherever they are—on-premises or in the public cloud.
In 2018, there will be further development of apps and devices that use machine learning, and companies will try to find new and exciting ways to include AI. There will always be a philosophical debate when it comes to AI, but there are ways to expand its uses without giving it too much control. Automation will make self-driving data centers a reality. There will be guaranteed, real-time predictable performance without IT intervention. IT folks will be able to concentrate on more important tasks that add value to the company, rather than keeping the engine running. This will be achieved when companies ensure a clear swim lane for every VM.
I think the industry will come to terms with automation even more—both the need for it as well as the process. Where it used to be that administrators could get by without writing much more than a few batch files, the industry is now realizing they need more sophisticated automation. Why? Because we're all being asked to produce more at much larger scale, but without matching resources. This is a trend that will continue. I also believe (unfortunately) that there will be growing pains with a few private, but costly, mistakes being made due to inexperience.
Next week, Chris Colotti delivers a broader set of predictions for 2018. Stay tuned…
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