Hyperconverged infrastructure (HCI) products have significantly grown in popularity in the last few years, leading many vendors to adopt a hyperconverged approach. VMware is adding to its portfolio a series of products that make its product more suitable to hyperconverged environments.
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Moving applications and development to the cloud has delivered operational benefits at scale. Faster release cycles and microservices architectures drive complexity and a need for speed that can only be solved by automation via infrastructure-as-code (IaC). However, deploying new tools creates new attack surfaces, and IaC is no different.
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Until recently, when building cloud-native platforms, companies typically started building out automation with infrastructure as code tools such as Terraform, Ansible, and the like.
However, your platform doesn't stop at the infrastructure level. With the rise of Kubernetes, the trend towards platform as code is evolving and gaining traction.
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The cloud is the new data & analytics platform. Cloud offers a diversity of choice, but that amounts to increased complexity. Data & analytics leaders must address various gaps while pursuing their D&A cloud modernization journey. However, to minimize cloud complexities, data and analytics leaders must update early data engineering practices to lay the right foundation for how data & analytics applications are built, managed and operated in the cloud. They must establish a strong cloud data management strategy and approach that can minimize human effort, delays and operational costs. Join this complementary data & analytics webinar to explore the state of the data & analytics platforms, and the transition to cloud and its implications.
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