Cloud migration must be transformative to the core business and must not be focused just to save money on operations. Therefore, one must think of innovation and value addition with cloud rather than considering it keeping pace with current technology.
As Cloud computing is increasingly becoming an enterprise core competency, Cloud teams require a wide range of skills and expertise to operate different requirements. With this shift, there is a change in the paradigm and approach of Cloud training those enterprises needs to adapt.
Kubernetes has become the ultimate way if an enterprise needs container orchestration at scale. This is because Kubernetes and containers are changing how applications can be built, deployed, and managed in future organizations.
Microservices has become a new way to build and deliver on enterprise applications with speed, efficiency and considerable savings. This becomes possible when the microservices are properly calibrated and monitored for robust performance.
Containerized technology has really taken off since 2014 and Kubernetes happen to be one such offering from the technology. The lightweight technology provides agility, deployment and continuous development, which proves to be beneficial for enterprises.
Making machine learning successful in an organization requires a holistic strategy that involves specialists and non-specialists alike. Therefore, developers and business analysts need to focus on analyzing business cases where machine learning adds value, by managing new methodologies.
Earlier, only technologists recognized the potential of cloud and they were the torch bearers of technology. However, post migration, businesses have begun sharing the idea due to delivery of cloud technologies resulting in a wider acceptance.
SaaS reduces operational cost for an enterprise massively and has been adopted as the best strategy in place of legacy systems. However, containers are much more versatile, but SaaS can still be made economical by investing on a large & robust infrastructure.
Cloud contracts must be smart and dependable. They must have elements like conditions for data egress, termination fees, excerpts about security and audits among other important aspects as a part of a reliable contract.
Cloud has propagated the idea of retaining databases on site and moving applications to cloud. This theoretical idea is conceptually perfect but the issue of latency becomes a problem in deployment which produces a clash between the two core elements.
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