Moving to DevOps can be difficult and every organization faces its own particular set of challenges. Join us in Dallas, TX on Tuesday, November 6th as top DevOps experts from AWS, New Relic, and Flux7 present a free, half-day workshop on proven and practical steps you can take today to accelerate your DevOps transformation.
We kick off this week’s IT Modernization and DevOps News with Puppet who held its global conference, Puppetize Live, this past week. At the show, Puppet introduced a new product, Puppet Insights, that helps customers measure their software delivery performance and benchmark progress with a goal to help measure DevOps like you would any other part of the business.
Last week we introduced the idea of enterprise DevOps at scale, and the seven step process that has emerged to effectively achieve this goal, helping organizations effectively reap economies of scale and address the complexities inherent to a large enterprise. While our last blog series on DevOps adoption focused heavily on the first two steps -- plan and assess, and pilot -- today’s article will dive more deeply into the third step of the process: pattern identification.
Risk management is an integral part of any IT modernization conversation, especially among the C-suite. As financial services organizations embrace DevOps and Agile processes and move more and more of their infrastructure to the cloud to facilitate DevOps automation, we’ve seen an increase in conversation around GRC in the cloud.
Challenged with increased competitive pressure, many organizations turn to Agile and DevOps methodologies to speed their time to market, access additional markets, and more. DevOps ushers in process improvements through automation that speeds developer and operations productivity and efficiency. While these benefits are alluring, many large enterprises don’t know where or how to begin their foray into DevOps.
Underscoring the ever-evolving nature of IT modernization in our industry, 451 Research released findings from its latest Voice of the Enterprise survey on AI & Machine Learning. It notes that most organizations are adopting or considering adopting machine learning due to its benefits. (Increased competitive advantage and enhanced customer experience were listed as the #1 and #2 benefits.) Indeed, almost 50% of 451 survey respondents have deployed or plan to deploy machine learning in their organizations within the next 12 months.
In other IT modernization news:
It’s not an understatement to say that uptime for this provider’s emergency communications services, can spell the difference between life and death. Communicating with people during critical events to keep them safe, informed and connected, this company had a need to maintain its 100 percent up time, security and availability as it grew. The DevOps team here at Flux7 were glad to take the call to give them a hand.
DevOps ushers in new processes, new teams and new technology, so how does one define success? In this final article in our DevOps adoption series, we’ll share our thoughts on a few concrete DevOps metrics your team can use to measure positive change, and just as importantly, why they matter. As the old adage goes, what gets measured gets done and when it comes to DevOps, the overarching impact we should be making is to Time to Business Value.
With competitive pressures demanding organizations innovate and bring new products and services to market faster, we’re seeing more and more enterprises moving to the cloud for IT modernization that maximizes the benefits of DevOps automation. Interestingly, Chef this week shared results of a recent survey it conducted finding a dramatic shift to the cloud among its survey respondents.