The previous chapter in this WhiteHat Security series discussed Codebase as the first step of the Twelve-Factor App and defined a security best practice approach for ensuring a secure source control system. Considering the importance of applying security in a modern DevOps world, this next chapter examines the security component of step two of the Twelve-Factor methodology. Here follows some actionable advice from the WhiteHat Security Addendum Checklist, which developers and ops engineers can follow during the SaaS build and operations stages ...
Organizations that are "extremely successful" in advanced operations analytics (AOA) are 20 times more likely to be "very successful" in their hybrid cloud adoptions than those who were only "moderately successful" or less in AOA, according to a new Enterprise Management Associates (EMA) Research Report, The Many Faces of Advanced Operations Analytics.
The study conducted by EMA, and partially underwritten by AppDynamics, asked 150 US respondents and 100 European respondents about their utilization of and experience with AOA — EMA's term for big data as used by IT for a variety of purposes, including optimizing service performance, minimizing security issues, managing change, optimizing capacity across the extended enterprise, and ultimately governing IT more effectively as a business in support of the business it serves. The report revealed that the most effective AOA investments are blending these formerly separate areas. On average, respondents reported five use cases for each AOA deployment, with some reporting 10 or more.
Advanced Operations Analytics solutions were supporting roles across both IT and the business, including roles related to business planning and online operations.
There was particularly strong interest in AOA for DevOps and cloud, with two-thirds of respondents planning to support DevOps with AOA.
“AOA investments can and should be transformative,” said Dennis Drogseth, VP at EMA. “It is an overarching layer of capability for data assimilation and analysis with multiple use cases and many potentially applicable technologies. That’s because, through its many different data sources, AOA can capture a whole host of patterns and learn from them in a way that’s both new and surprising.”
See more findings from the report in the infographic below.
Maneesh Joshi is Senior Director of Product Marketing and Strategy at AppDynamics.