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White Paper: Platform Engineering Challenges and Solutions

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© 2020 Mirantis Inc. All Rights Reserved. Information is subject to change. | www.mirantis.com They use this to provide a simple, cloud-native experience — one webUI, one API — that lets you deploy, scale, observe, and lifecycle manage Kubernetes across all clusters and infrastructures — To speak simply: this is the part of platform engineering that (for your organization) delivers the least value, requires the most time and expertise, and incurs the greatest risk. You want to outsource this to a responsible vendor with a deep bench, and get: • Simple, couple-of-clicks, self-service cluster deployment and couple-more-clicks scaling on any inf rastructure, delivering consistent, complete clusters that are ready for work and enable really-trivial portability of apps and application-lifecycle automation around your multi-cloud. • Easy, non-disruptive, riskless, straightforward cluster upgrades, ideally dropped as continuous updates for (minimal) evaluation and application, without taking apps or cluster APIs offline. • Easy integration of notifications, corporate directory and other centralized facilities with cluster management, reducing operational overhead. • Most important: one API for doing a ton of strategic platform engineering work. That means one REST API that lets you deploy, upgrade, scale clusters across all your inf rastructures in a simple, dependable way. Given that singular API, you and your platform engineering team get to focus on (for example) building out efficient, standardized, cross-platform ways of helping your developers use Blue/Green or Canary deployments. Which is what actually helps your business ship software faster. Learn more at Mirantis.com

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