Industry executives and experts share their predictions for 2023. Read them in this 15th annual VMblog.com series exclusive.
2023 Application Delivery and Data Management Predictions
By Phil Trickovic, SVP of
Revenue, Tintri
Change is the universe's only constant,
and our tech dependent business world demands it. Every year, new technologies
emerge to meet new needs as older solutions meet their decline. As we approach
2023, it's important to understand which technologies, methodologies, and
process improvements are ready for launch.
As we approach the new year, there
are several trends coming to the forefront of application delivery and data
management. The following are our predictions for 2023 beyond.
Acceleration of
containerization
Microservices have been building
up buzz for the past several years. On paper, the deployment and management
model makes sense economically. The execution, however, has been quite different
with complicated user interfaces, lagging deployment times and poor educational
resources. Currently, it takes an army of highly specialized, expensive
resources to build, deliver and maintain microservice platforms with 80 percent
of that time expense centered on platform management. Hardware and software
platforms have simply not been able to efficiently deploy container-based
applications. With new solutions on the horizon, we expect these barriers to
lower as we enter into 2023. At Tintri, we're directly addressing these obstacles,
bringing an autonomous, intelligent, turnkey platform to the microservices
world.
Demise of legacy backup and
recovery methodologies
BC/DR is an often overlooked, and
underperforming expense to the enterprise with little to no improvement in the
operations and technologies implemented in this portion of the tech stack. In
2023 we'll see a shift to production-based protection and recovery methods.
Legacy technologies like BC/DR are expensive, process intensive, inefficient
and more often than not fails on recovery. With the introduction of AI managed
datasets, very large and low cost NVME based media and the ability to replicate
small subsets of metadata to multiple locations, we'll begin to see these
solutions overtake disk and tape based backup and recovery methodologies.
The beginning of the end for hypervisor-based
deployments
Virtual Machine methodologies are
over 20 years old, with an adoption curve that hit over ten years ago. Based on
the cycle of history, we know what happens next. With the advent of
containerized workloads, and reduction of the VM layer significantly reducing
processing costs, we will see the hypervisor layer becoming less and less
critical to the deployment and management of enterprise applications.
Realization of the
'encapsulated application' promise
With containerization, entire
application stacks can be deployed across multiple platforms without the need
for human intervention. With current methodologies, application deployment
requires time, in some cases weeks, to install all the necessary components before
testing to ensure they are properly interacting with each other. Broader
adoption of turnkey encapsulated stacks will allow applications to be deployed
from a single source, hence reducing deployment and ongoing management costs.
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ABOUT THE AUTHOR
Phil brings 25 years of
high-tech experience to Tintri as the Senior Vice President of Revenue. His
combined sales and technology acumen has enabled him to successfully lead field
organizations, guide countless enterprise customers through evolving technology
landscapes, and deliver game-changing business results. Previously, Phil held
sales and executive leadership positions at public and private companies
including NetApp, EMC, EDS, and most recently at Diamanti, where he drove
triple digit revenue growth across Global 1000 market opportunities.