Vanguard CIO: Is what you’re doing “true” agile?

Source- enterprisersproject.com Recently, I went out after work with a friend who wanted to pick my brain about agile. He had just landed a new job and his new organization was adopting agile principles. Excited for him, I began asking all kinds of questions. How frequently do they deploy software? Were they building microservices? Were they looking at public cloud? I watched his excitement drain a bit as he explained that they deploy relatively infrequently and had not discussed “breaking down the monolith” or

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Grow rapidly into a continuous delivery pipeline

Source- searchitoperations.techtarget.com If the only thing colourful about your deployments is the language, evaluate canary and blue/green environments. One application engineering team found that continuous delivery (CD) makes the rapid-fire updates to a high volume of microservices orderly and manageable. But to truly reap the benefits, they must find ways to minimize the blast radius of live code and to catch and roll back anything that mars user experience (UX). Ibotta, a Denver-based mobile rewards app provider, adopted a continuous delivery

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Microservices Help Scale Distributed Apps, Survey Finds

Source- enterprisetech.com The ability to scale applications and get products and services out the door faster are the primary reasons DevOps teams are embracing microservices, a new survey finds. Microservices are the foundation of an agile architecture on which applications are built as a collection of different smaller services rather than an entire application. Among the emerging challenges is determining the best way to communicate among those lightweight services. While nearly two-thirds of the 354 companies surveyed by workflow automation

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DevOps & machine learning improves app performance!

Source – devopsonline.co.uk Machine learning has been hyped (and in some cases overhyped). However, one successful DevOps use case for machine learning is application performance management. Why? Simply put, machine learning is needed to analyse the volume, velocity, and variety of big data generated by today’s dynamic application environments. By applying machine learning to identify patterns and anomalies, DevOps teams can better troubleshoot intermittent and complex problems, understand usage patterns, reduce bug rates, and improve the customer experience. What’s changed? Modern applications based on

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DevOps Intelligence Gathering: What Are We Measuring Here?

Source – adtmag.com There’s a business adage that goes, “We manage what we measure,” (or some variation thereof) — which is important insight, but easier said than done when it comes to DevOps. Moreover, says Tim Buntel, DevOps Advocate at XebiaLabs, it’s downright tricky. “If you think about, say, a manufacturing process, where you have specific outputs — products like cars or cell phones — the metrics are fairly straightforward,” Buntel said. “But measuring software development and delivery in general can be

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Why Open Banking Should Consider DevOps

Source – devops.com There is a craze sweeping Europe, and rippling across the world—and no, I’m not talking about the next British Invasion. Open banking is a trend that’s significantly altering how banks work with fintechs and maintain agility in the global marketplace. A main enforcer is PSD2, a piece of EU legislation that sanctions access to personal banking data. It’s resulted in an explosion of EU banks providing public application programming interfaces (APIs) for fintechs to develop with. The implications aren’t

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Chef Embraces Microservices to Advance IT Automation

Source – devops.com Chef at the ChefConf 2018 conference today unveiled a series of DevOps offerings, including a revamped version of Chef Automate that has been rewritten using the Go programing language to improve performance and scalability. Now based on a microservices architecture, Chef Automate 2.0 a new user interface based on a REST application programming interface (API) that also serves to enhance integration. There also are a variety of visibility and debugging tools built into the platform, including a streaming event feed,

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Microservices, DevOps and collaboration: The foundation for BSS Transformation

Source – vanillaplus.com Telecoms operators, by tradition, are not seen as fast-moving businesses. They are always striving to be agile, but their reliance on legacy systems – coupled with their dysfunctional, locked-in relationships with legacy vendors – has created a slow-moving animal, often at odds with the pace of the Internet generation. Indeed, when operators talk of the challenges they face with digital transformation, they are as often referring as much to their current vendors as they are to their own

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DevOps and microservices driving container monitoring market growth

Source – rcrwireless.com Global container market to hit $706.2 million by 2022 The global container monitoring market is expected to swell from $169.6 million in 2017 to $706.2 million by 2022, at a compound annual growth rate (CAGR) of 33%, according to a report published by ResearchandMarkets. Containers are a lightweight form of virtualization that has taken the telecom industry by storm. According to the report, the demand for container monitoring is being driven by various factors, including increased use of

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Why Should Agency DevOps Teams Care About Microservices?

Source – meritalk.com Until now, most Federal agencies built their computing architectures like the aging buildings that house most of their headquarters, as huge monolithic structures that are inefficient, require frequent maintenance, and are wholly inflexible. Now, companies like Red Hat are offering a new path using microservices technology, which takes huge application stacks and breaks them down into tiny, modular components that can expand or contract based on needs, eliminating waste while ensuring critical services are always available regardless of

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