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Is it time to buy into container management platforms?
This article is part of the Modern Infrastructure issue of April 2017, Vol. 6, No. 4
Virtualization became an IT mainstay because it eased software development by providing an abstraction layer between system hardware and software. But even this widely adopted technology is being threatened by the industry's never-ending quest to build a better mousetrap. Here come containers. New York-based analyst firm 451 Research thinks containers eventually may have a greater impact on IT than the OpenStack project. While the nascent technology is generating buzz, its ecosystem is new and missing functionality, such as strong container management platforms. Use in production so far is minimal. Containers are gaining attention because they offer improved portability when developing and deploying applications and because they use resources more efficiently than VMs. Organizations are under pressure to respond quickly to changing market demands, and increased competition shrinks product lifecycles. In response, businesses have been adopting DevOps to quicken the pace of new software releases. Containers speed up program ...
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Features in this issue
IT shops with specific workload requirements continue to choose specialty IaaS offerings over the more rigid services from cloud giants like AWS, Azure and Google.
The evolution of container management platforms may be generating a lot of buzz, but the software needs further improvement before it makes sense for organizations to invest in it.
With big data architectures and cloud resources finally making machine learning applications possible, Monte Zweben says it's time to map out your AI-enabled futures.
More data center teams have moved to software-defined networks. And while the technology brings new benefits around automation, it also brings a host of implementation challenges.
Columns in this issue
Big data platforms like Apache Spark process massive volumes of data faster than other options. As data volumes grow, enterprises seek ways to speed up Spark.
The misuse of the phrase 'cloud computing' has created misperceptions of the technology. Remember that the cloud isn't a location -- it's a more agile way to design IT services.