Containerization is emerging as a dominant strategy for cloud portability in a multi-cloud environment. Industry analyst Forrester agrees that container services will become the preferred platform for application development in a multi-cloud environment.
Containerization (with native Kubernetes) avoids cloud lock-in and allows vendor selection based on the best fit. While re-architecture to microservices has been the most prevalent way, it may not be feasible or always required. Alternate mechanisms to make the application ready to run and deploy in containers have become more reliable with tools-based containerization of legacy applications to Kubernetes. S2I, I2D tools and Google Anthos are looking at package applications with low touch to containers and tools like KubeVirt are aiming to run virtual machines (VM) in containers.
Infosys partnered with prominent financial institutions in the U.S. and Europe to move their workloads to Google Anthos-based environments using an automation-driven approach.
Gartner expects that, by 2022, inadequate cloud skills will delay half of an enterprise IT organization’s migration to the cloud by at least two years. Despite the challenges, organizations must find a more efficient way to move data from their systems of record to the cloud if they want to achieve better analytics and insights to help drive business decisions.
The portfolios of services from cloud service providers for data integration continue to expand. This space is dominated by niche data transfer products that move massive volumes of data across the hybrid cloud landscape, delivering reliability and performance at optimal cost.
Infosys partnered with a large financial institution in Europe to create a data marketplace and data distribution platform on Google Cloud using open-source technologies and to move data at petabyte.
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