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Containers and Pivotal Cloud Foundry
It’s no secret, Docker has dominated the conversation about containers lately. The fact is that container technology has been around for many years now, and Cloud Foundry has used containers since 2011 to provide application orchestration and management capabilities.
Business value resides in developer code and the applications that are a consequence of that code. It’s realized when the application is put into production in a fast, simple, and repeatable process, and when that production code runs in a resilient, fault tolerant, highly maintainable, automated platform.
In this free white paper, we’ll take a high level look at container technology, including Docker, and how containers are leveraged by Pivotal Cloud Foundry. We will describe how containers are one piece of a larger set of responsibilities needed for an enterprise platform and demonstrate how Pivotal Cloud Foundry takes a structured, opinionated view of application deployment and management to drive business value.
This white paper discusses:
- An introduction to container architecture
- Docker on Pivotal Cloud Foundry
- How Pivotal Cloud Foundry uses containers—both those that are supplied in pre-built images and those that PCF builds itself using buildpacks
- The similarities and contrasts that occur between one approach and the other
Saurabh Gupta has over 16 years of experience in the technology sector, spanning enterprise consulting, launching startups, working on ideas in mobile, cloud, & IoT, and doing technical pre-sales for products he is passionate about. Prior to Pivotal, he has been with various mobile startups in capacities ranging from first technical hire to CTO. In those roles, he’s helped create mobile-first products that deeply leverage cloud technologies in areas such as mobile security, mobile banking, and social media. At Pivotal he’s an Advisory Platform Architect where he works with large enterprise customers to help them with adopting Pivotal Cloud Foundry, Spring Boot, Spring Cloud Services, Big Data systems, and Microservice design patterns in order to create new products and also to replatform legacy applications for the cloud.