Virtualization Technology News and Information
Article
RSS
Tintri 2023 Predictions: Application Delivery and Data Management

vmblog-predictions-2023 

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.

##

ABOUT THE AUTHOR

Phil Trickovic 

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.

Published Tuesday, January 03, 2023 7:30 AM by David Marshall
Comments
There are no comments for this post.
To post a comment, you must be a registered user. Registration is free and easy! Sign up now!
Calendar
<January 2023>
SuMoTuWeThFrSa
25262728293031
1234567
891011121314
15161718192021
22232425262728
2930311234