This morning on #c9d9 we spoke with two industry veterans and published authors – James DeLuccia and Jonathan McAllister – on how to bake-in security and compliance into your DevOps processes, and how DevOps and automation can essentially help you pass your next audit.

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The annual holiday shopping season, which started on Thanksgiving weekend and runs through the end of December, is undoubtedly the most crucial time of the year for many eCommerce websites, with sales from this period having a dramatic effect on the year-end bottom line.
Web performance – or, the overall speed and availability of a website or mobile site – is an issue year-round, but it takes on increased importance during the holidays. Ironically, it is at this time of year that networks and infrastructure come under the most strain from traffic and are more vulnerable than ever to performance degradations. Yet busy, hurried holiday shoppers expect better performance than ever, and the stakes for lost conversions are frighteningly high. When customers encounter long load times, they’re likely to abandon their current shopping destination and move on to a competitor’s site that is performing better, sending potential revenue out the door. What’s worse, studies have shown that if a site freezes or crashes, is too slow, or involves an overly complicated checkout process, 75 percent of shoppers will no longer buy from that site.

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Cyber insurance is an important element for companies as it covers the damage and liability caused by a hack, which are usually excluded from traditional liability coverage. Stricter data privacy notification laws, government incentives, cloud adoption and the increase in high-profile hacks and data breaches have all contributed to the significant increase in the number of companies offering and buying cyber insurance. However, companies need to make sure they have the best technology in place to protect their information, before implementing a cyber insurance policy.

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In recent years, at least 40% of companies using cloud applications have experienced data loss. One of the best prevention against cloud data loss is backing up your cloud data.
In his General Session at 17th Cloud Expo, Sam McIntyre, Partner Enablement Specialist at eFolder, presented how organizations can use eFolder Cloudfinder to automate backups of cloud application data. He also demonstrated how easy it is to search and restore cloud application data using Cloudfinder.

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With all the incredible momentum behind the Internet of Things (IoT) industry, it is easy to forget that not a single CEO wakes up and wonders if “my IoT is broken.” What they wonder is if they are making the right decisions to do all they can to increase revenue, decrease costs, and improve customer experience – effectively the same challenges they have always had in growing their business. The exciting thing about the IoT industry is now these decisions can be better, faster, and smarter. Now all corporate assets – people, objects, and spaces – can share information about themselves and their surroundings. And this data can help make better decisions through improved insights.

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Hiring the wrong candidate can cost a company hundreds of thousands of dollars, and result in lost profit and productivity during the search for a replacement. In fact, the Harvard Business Review has found that as much as 80 percent of turnover is caused by bad hiring decisions. But when your organization has implemented DevOps, the job is about more than just technical chops. It’s also about core behaviors: how they work with others, how they make decisions, and how those decisions translate to tangible results.

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In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu’s platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).

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The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging – how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver unique customer value for new go-to-market models based on a cloud and IoT way of working. Analytics, IoT service mashups, fail fast business models and contextual data streams enable data to become the new currency for digital citizens and businesses and will determine business success or failure.

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This is how a typical software product lifecycle works : You gather requirements, build a prototype, detail out the architecture and design, develop the product, test it, deploy the product, handle migration and maintenance and ensure product support. This is a closed loop where the Product Support team gathers new requirements which are eventually deployed.

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So you want to centralize your enterprise? Smart choice – but it’s important to take some factors into consideration if you want to have success.
Developers need to ensure representation from each geographic location; understand current development processes and tools; and comprehend the biggest challenges. Furthermore, you need to be aware of, and sensitive to, your project teams’ preferences for existing tools and aversion to change.

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