This paper argues that DevOps can be implemented productively if the two disciplines adopt a “cloud” model for production and consumption of services. It also argues that Linux containers are a very powerful and convenient technology change to enable this model as long as they are used with appropriate automation and management technologies.
Cloud platforms are increasingly a viable option for a growing set of enterprise workloads. Business-aligned developers are aggressively leveraging public cloud platforms to build and deploy new elastic applications and to extend legacy capabilities. They have come to expect speed, choice, and cost transparency. Meanwhile, nearly half of enterprise IT shops claim to be building
At enterprises everywhere, private clouds are catching on. And increasingly, businesses are finding that an open hybrid approach to building private clouds is the best way to maximize their benefits—cost-effective, flexible computing and storage capacity without single-vendor limitations. That conclusion is causing IT leaders to seek out alternative providers of virtualization technology as well as
Enterprise IT infrastructures are being transformed into dynamic, virtual infrastructures to enable increased agility, lower costs, and higher service levels. However, while these new shared infrastructures combine virtualization, resource aggregation, logical allocation, dynamic workload relocation, and settings reconfiguration, they also introduce significant complexities to resource management and capacity planning.
Enterprise applications are changing. Traditionally, they could take years to write and they could live for decades. They were monoliths that had to be protected against failure at all costs. The decades of research and development that went into technologies such as failover clustering was ultimately in service of protecting the running state of this
If you’re like most organizations, your users and even your CEO are demanding “a cloud like Amazon” where they can instantly spin up servers through a self-service portal. And you may have given them something that looks like that. However, delivering a portal with scripted provisioning in a first-generation “cloud” isn’t going to deliver the
As the economy improves, CIOs must lay the foundation for the next generation of enterprise business growth, and the new battleground is data. Companies focused on transforming themselves into data-driven organizations are seeing increased innovation and improved financial performance. To meet the data challenge, CIOs must create a highly reliable and scalable unified information platform
Enterprise architects today are finding it challenging to ensure the right technology governance, innovate, and support critical business processes. Collecting and storing unprecedented amounts of data threatens to change fundamental business processes and puts key initiatives at risk. Architects must take the lead in advocating for a flexible data platform for the future as digital
The rapid evolution of enterprise storage technologies, combined with external forces like the explosion of big data, can leave Linux® and server administrators feeling like they’re playing catch-up. Plus, running a bunch of monolithic storage devices and proprietary, disconnected technologies forces administrators to spend valuable time creating and managing complex solutions instead of focusing on
From physical to virtual to cloud, I.T. organizations have adopted increasingly complex technologies as their enterprises demand greater agility. It’s left to I.T. leaders and their organizations to manage this complexity, keeping operating costs low while delivering on ever-increasing SLA expectations. With the rapid growth in unstructured data volumes, I.T. organizations are turning their attention