
Virtualization and Cloud executives share their predictions for 2016. Read them in this 8th Annual VMblog.com series exclusive.
Contributed by Derek Collison, Neeraj Gupta and Josh Ellithorpe, Apcera
2016 Predictions For The Future Of Enterprise Cloud
Machine Learning Will Transform
How Enterprises View and Utilize Data
Humans today are built with 50,000-year-old hardware that is
programmed to think linearly, not exponentially. This limitation means that we
are simply going to be blown away by the looming advancements in artificial
intelligence and machine learning. Since businesses are generating more data
than they can ever process, these technologies, perfected by the companies like
Google and Facebook, will quickly find their way into the mainstream
enterprise. Machine Learning, and not what we think of as Big Data today, will
provide the insights, predictions, causations and correlations that will drive
the modern enterprise within the next two years.
- Derek
Collison, Founder and CEO
The Clash of the Titans
Docker's continuing march up the stack to the management layer
is going to bring it into direct conflict with other popular projects (for
example, Kubernetes) and products that depend on Docker container runtime for
their livelihood. The planned work to combine Docker core technology with the
standalone Docker distributed workload manager (Swarm) will cause much
hand-wringing for parts of the container ecosystem as others try to determine whether
they can continue to live with a dependency on Docker at their core.
Some will drop out and some will be purchased by larger
companies not wishing to be left behind. This will leave a sparser battlefield
for the remaining container management platforms. After several perplexing
rounds of attempts to differentiate themselves, the ones that will survive are
those that can demonstrate a clear ability to orchestrate blended and complex
workloads in a fashion that an enterprise can manage with trust.
- Neeraj Gupta, SVP of Product and Engineering
Rise of Data Fabric,
Fall of VMs
2016 will see the beginning of the death for custom and
specialty hardware and the rise of containers as they take significant market
share from VMs. Configuring hardware for VMs (and vice versa) is an outdated
practice that is too costly and inefficient for today's standards. The public
cloud (commodity hardware) will win and drive mass adoption of containers and
unikernels-creating a data fabric that can instantly run any application or
workload. Ultimately, it won't matter what's "under the hood" as long as it
works with speed, security and scale.
- Josh Ellithorpe, Software Architect
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About the Authors
Derek Collison, Founder and CEO: An
industry veteran and pioneer in large-scale distributed systems and enterprise
computing, Derek Collison has held executive positions at TIBCO Software,
Google, and VMware. At TIBCO, he designed and implemented a wide range of
messaging products, including Rendezvous and EMS.
Neeraj Gupta, SVP of Product and
Engineering: Neeraj is a long-time technologist
and leads engineering at Apcera. Before joining Apcera as VP of Engineering,
Neeraj was SVP of Product and Engineering at Appcelerator, an enterprise mobile
and cloud platform company.
Josh Ellithorpe, Software Architect: Josh is a Chicago native who began his career in the late nineties
working in all aspects of the tech stack. As an open-source advocate, he
released his first open-source project, throttled, in 2001. Specializing
in Ruby development, Josh decided to acquaint himself with San Francisco's tech
scene, and made the city his home. After relocating, Josh worked on some of the
biggest emerging social applications for companies like Facebook and
Involver. He has now joined the Apcera team to revisit his networking roots and
revolutionize the cloud.