For DevOps teams, the concepts behind service-oriented architecture (SOA) are nothing new. A style of software design initially made popular in the 1990s, SOA was an alternative to a monolithic application; essentially a collection of coarse-grained components that communicated with each other. Communication would involve either simple data passing or two or more services coordinating some activity. SOA served as a valid approach to solving many architectural problems faced by businesses, as applications could be developed by more teams working in parallel and more productively by reusing original code to build new functionality.

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Gone are the days when application development was the daunting task of the highly skilled developers backed with strong IT skills, low code application development has democratized app development and empowered a new generation of citizen developers.
There was a time when app development was in the domain of people with complex coding and technical skills. We called these people by various names like programmers, coders, techies, and they usually worked in a world oblivious of the everyday priorities of the business world. However, with the passage of time, this scenario is much more democratized now. Newer business models have given rise to new technologies that are replacing old legacy systems and processes. Technology and business teams have come together to build just what is needed for business priorities. Today nothing happens backstage in the name of complex coding – everyone builds and develops apps using simple methods based on modern technology.

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By 2020, 90 percent of all new cars will have some sort of built-in connectivity platform, and by 2022, there will be 1.8 billion automotive M2M connections. As cars join the Internet of Things, cars will stop being independent entities and will become part of a larger, connected ecosystem. Cars as part of the IoT isn’t just a look into the future – it’s already happening.
“Everything that moves will become autonomic, it’s just a matter of time,” says Vishnu Andhare, Consulting Manager at ISG. Andhare notes that all of the big automotive players are already moving towards a future of shared mobility, and mobility-as-a-service – although it will take time. “In the future, it will not be limited by technology, but by the psychological barrier, and by public policy,” he says. “there is a limit to which the human mind can go without semblance of control. At airports, you already see terminal-to-terminal autonomic shuttles. We are used to them. But with cars on the road, there is still a psychological barrier.”

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Conquering the challenges that managing test environments brings is a huge obstacle to achieving DevOps efficiencies in enterprises today. Gaining automated, real time visibility across the enterprise portfolio to establish a single source of truth to align teams and identify and resolve resource conflicts is key. A tool to keep track of environments at all times makes the job of test environment managers easier by displaying strategic allocation challenges in a single, consolidated place. Gone are the days of having to fire up Excel and send emails to gather this data again.

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Development cycles are being squeezed into tighter timeframes than ever before – days, hours and even minutes. Organizations that fail to keep up will find themselves behind and struggling to keep pace. However, DevOps isn’t the hurdle that it may initially seem, and if an organization develops a proper strategy the obstacles to adopting DevOps can be successfully overcome.

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These slow, brittle, manual, error-prone deployments meant new features that were developed were taking longer and longer to actually be released into the market, and that on-boarding of new customers and applications were greatly delayed as well. The process of seeing Dev work actually getting delivered into the hands of end-users became risky and unpredictable. For example, looking at the JIRA tickets the Ops team was spending their time on – only 12% was being spent on «revenue generating» activities- such as releasing new games or onboarding new customers. Majority of the time – 88% – was spent on deploying bug fixes and patches.

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Is advanced scheduling in Kubernetes achievable?Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, answered these questions and demonstrated techniques for implementing advanced scheduling. For example, using spot instances and cost-effective resources on AWS, coupled with the ability to deliver a minimum set of functionalities that cover the majority of needs – without configuration complexity.

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As DevOps methodologies expand their reach across the enterprise, organizations face the daunting challenge of adapting related cloud strategies to ensure optimal alignment, from managing complexity to ensuring proper governance. How can culture, automation, legacy apps and even budget be reexamined to enable this ongoing shift within the modern software factory?
In her Day 2 Keynote at @DevOpsSummit at 21st Cloud Expo, Aruna Ravichandran, VP, DevOps Solutions Marketing, CA Technologies, was joined by a panel of industry experts and real-world practitioners who shared their insight into an emerging set of best practices that lie at the heart of today’s digital transformation.

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In his session at 21st Cloud Expo, Michael Burley, a Senior Business Development Executive in IT Services at NetApp, described how NetApp designed a three-year program of work to migrate 25PB of a major telco’s enterprise data to a new STaaS platform, and then secured a long-term contract to manage and operate the platform.
This significant program blended the best of NetApp’s solutions and services capabilities to enable this telco’s successful adoption of private cloud storage and launching of virtual storage services to its enterprise market.

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There is a story emerging about the role the Internet of Things (IoT) has played in disaster preparedness. Indeed this technology has matured to the point that it is making a real and measurable impact in helping communities prepare for, respond to, and recover from disaster.

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