New tools and technologies are becoming established in enterprises, helping organizations extract more value from data. Recently, industry experts weighed in on the trends that loom large in the future and those that appear to be waning.
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Coined nearly 10 years ago by Patrick Debois, the term "DevOps" is now broadly accepted as a methodology by which software development teams and IT operations teams work collaboratively for a continuous delivery approach. The methodology puts a premium on speed. With the 10-year anniversary coming up, leading IT executives offer their DevOps predictions for 2019.
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There's been a lot of discussion recently about autonomous databases, which offer the promise of keeping database systems stable and performant while alleviating much of the tuning and configuration drudgery that DBAs must typically slog through. It is important to note that an autonomous database needs to strike a balance between giving administrators too much and too little control. Too much control takes the form of endless configuration and tuning parameters that place the burden of performance and stability on the operator. Too little control takes the form of automated behaviors that reduce the predictability of the system to an unacceptable level.
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In a new IOUG SELECT article, Eric Mader writes about the role of DevOps in development and operational modernization: "Often misinterpreted as a buzzword endorsing development teams taking over platform and infrastructure roles, DevOps is all about development and operational modernization. Rather than operating as siloed, asynchronous teams as has been the norm for decades, DevOps represents a fundamental, holistic, organization-wide shift not only in processes and tools, but in people and culture."
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