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Overcomplicated cloud solutions are making the skills shortage worse


The cloud solution team has an architect who has designed the target cloud solution or the selection and configuration of the different types of cloud technology—hopefully, while keeping the business requirements in mind. Unfortunately, in many cases, the solution looks like a who’s who of hyped technology, including serverless everything, edge computing using digital twins, containers, and container clusters all over the place. The fun really begins when all this technology turns into job descriptions and an army of retained and internal recruiters attempts to fill these roles.

Those of you who are out there looking for these skills understand that there are about 20 job reqs chasing a single qualified candidate. In some cases, it’s 50 to 1, with more jobs going unfilled, which delays cloud projects or, in some cases, cancels them outright.

In its “2021-2023 Emerging Technology Roadmap” based on surveys of 437 global firms, Gartner reported that IT executives see the talent shortage as the largest barrier to deploying emerging technologies, mostly cloud-based technologies such as databases, serverless, machine learning, containers, advanced storage, and analytics.

This is not new news, but what is news is the fact that many of these skills shortages may be self-inflicted wounds.

How? Many IT shops moving to cloud are overcomplicating the types of technologies they really need. They are using the 50 to 100 announcements from the annual hyperscaler conferences as shopping lists of technologies to deploy. In most of those cases, newer, hyped technologies may not be needed and are just complicating the proposed cloud solution, making hiring the skills you need almost impossible.

Take containers for instance. In many instances, they are justifiable considering that a distributed system is needed for a specific application and that some portability and clustered processing will be useful as well. Thus, architects push to containerize the applications by decoupling specific application functions and refactoring them as applications and data that exist within a container and perhaps a Kubernetes cluster of containers.

Copyright © 2021 IDG Communications, Inc.



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