The revolution of mobile devices and industrialization 4.0, has started a
new way of developing, administering and managing computer
applications, this being the starting point to generate competitive and
self-administered products.
From this point of view, all companies must migrate to technologies that allow their technological infrastructure to be managed in an agile, automatic and secure way, therefore, focus on migrating to: microservices architectures and / or cloud computing (Private, Public or Hybrid) it is essential, likewise, to train the technology team as potential DevOps Engineer, championing a knowledge that allows them to manage in a preventive and decisive way the multiplicity of services and products that are aligned with the business model of the organization.
Go from a traditional (monolithic) model to a micro services, Cloud or
DevOps model; It is to understand the flexibility and maturity with
which applications and infrastructure interact within production
environments, since this is an unequivocal sign of the innovation and
prospective process that the world of information technologies is
experiencing. In this sense, ICT professionals must gradually build
their profiles towards these new technologies, which by themselves, are
marking the way to new jobs, where such knowledge is highly valued.
Rationalizing the multitude of advantages that they entail, migrating to
microservices-type platforms, are potentially high, due to the amount
of benefits that this entails, however, as Martin Fowler [1] mentions in his blog "Pre-requisites for Microservices" , there are different challenges in operating systems based on microservices:
- Rapid resource provisioning skills, either in the cloud or on-premises.
- Monitoring schemes for distributed services, including application metrics, networks, logs, as well as ways to link an operation or transaction of a client with the different microservices it uses.
- Agile development practices and product-focused development teams.
The need to innovate as an IT team is essential because these
technologies are constantly evolving day by day, therefore,
understanding these models allows clarifying potential failures or
improvements to processes that allow the proper development of daily
tasks of an IT team.
"Agility, automation, insights and security - essential elements for digital transformation." Thomas Erbran.
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