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.Feb. 16, 2018 11:00 AM EST Reads: 2,168
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads.
In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the public cloud best suits your organization, and what the future holds for operations and infrastructure engineers in a post-container world. Is a serverless world inevitable?
The use of containers by developers -- and now increasingly IT operators -- has grown from infatuation to deep and abiding love. But as with any long-term affair, the honeymoon soon leads to needing to live well together ... and maybe even getting some relationship help along the way. And so it goes with container orchestration and automation solutions, which are rapidly emerging as the means to maintain the bliss between rapid container adoption and broad container use among multiple cloud hosts. This BriefingsDirect cloud services maturity discussion focuses on new ways to gain container orchestration, to better use serverless computing models, and employ inclusive management to keep the container love alive.
Sanjeev Sharma Joins June 5-7, 2018 @DevOpsSummit at @Cloud Expo New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
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.
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 ...
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.
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
The nature of test environments is inherently temporary—you set up an environment, run through an automated test suite, and then tear down the environment. If you can reduce the cycle time for this process down to hours or minutes, then you may be able to cut your test environment budgets considerably.
The impact of cloud adoption on test environments is a valuable advancement in both cost savings and agility. The on-demand model takes advantage of public cloud APIs requiring only payment for t...
From manual human effort the world is slowly paving its way to a new space where most process are getting replaced with tools and systems to improve efficiency and bring down operational costs. Automation is the next big thing and low code platforms are fueling it in a significant way.
The Automation era is here. We are in the fast pace of replacing manual human efforts with machines and processes. In the world of Information Technology too, we are linking disparate systems, softwares and tool...
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" ac...
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