Change is the universe’s only constant, and our tech dependent business world demands it. Every year, technologies emerge to address new needs while older solutions decline. As we begin 2023, it’s important to understand which technologies, methodologies, and process improvements are ready for launch.
This New Year, there are several trends coming to the forefront of application delivery and data management. 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 begin 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 often an 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 often fail 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.
The above content was originally published 1/3/23 on VMblog.com.
