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DevOps metrics point to fast releases, open source adoption
This article is part of the Modern Stack issue of October 2018, Vol. 1, No. 4
It's one thing for an organization to declare its best intentions with DevOps. It's much more difficult, however, to look at DevOps metrics and find results that make all the requisite team reorganization and battle scars worth the effort. Even a team that has successfully adopted DevOps methodology and incorporated best practices will wonder: Are we doing this right? Could we do it better? Part of the problem is that it is not easy to know when DevOps is done well. There aren't universal examples of what success looks like when development teams and operations work in concert to create and deploy good software. Research, though, is beginning to show -- at least in outline -- what high-performing DevOps teams do that others don't do. In "Accelerate: 2018 State of DevOps: Strategies for a New Economy," a study by DevOps Research and Assessment, also known as DORA, survey respondents revealed details about how they work within DevOps frameworks, such as how often and how quickly they deploy code, the extent to which they use open ...
Features in this issue
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AI and machine learning take on cloud security woes
AI-infused technologies continue to target almost all aspects of cloud monitoring and management, including security. But don't assume they're a silver bullet.
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DevOps metrics point to fast releases, open source adoption
You can always be better at DevOps. Assess these metrics from a variety of DevOps teams to see where you could stand to improve -- and give your team some positive reinforcement.
News in this issue
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Quantum supremacy and the path to encryption chaos
Widespread use of quantum computing isn't as far into the future as some might think. When it arrives, this powerful computing technology could turn IT security upside down.
Columns in this issue
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Invest in an IT infrastructure upgrade -- or keep fixing it
Because upgrades to infrastructure equipment can be expensive and difficult, the easier decision is to renew a support contract. But delay comes at a cost, too.
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Cloud and containers rewrite monitoring and management rulebooks
IT performance management is tricky when it stretches as big as the public cloud and scrunches as small as a microservice. IT ops techniques must change to keep up.