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Bringing together DevOps and mainframe security

CIO

The DevOps ecosystem of today is becoming increasingly more complex. No matter the industry, organizations are increasingly looking for ways to optimize mission-critical software development processes. In the face of those challenges, DevOps teams have their hands full when it comes to securing the mainframe and DevOps toolchains.

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4 steps to connect change management and DevOps

CIO

It’s no secret that companies are committing to DevOps. In fact, according to a recent survey, three-quarters of leaders have adopted DevOps into their operations. DevOps delivers speed and agility to the development process. Change management brings consistency to DevOps. But it’s not easy.

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7 tell-tale signs of fake DevOps

CIO

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. It’s the CIOs responsibility to ensure that development teams aren’t intentionally or unintentionally straying off the DevOps path.

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Why Do Organizations Need DevOps? Picking the Right Tool - Kovair Blog

Kovair - DevOps

Get information on - Why Do Organizations Need DevOps? Picking the Right Tool , follow Kovair Blog for letest information and updates on software development and information technology.

DevOps 203
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Achieving Elite and High Performance DevOps Using DORA Metrics

Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar

How is your organization’s DevOps doing? DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. Do you have strategies to both identify problems and improve performance?

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Emphasizing the Dev in DevOps

Xebia

The term “DevOps” was supposed to be a method to bridge the gap between Developers and Operations and create self-sufficient, autonomous teams. Questions, requests and problems may have to be thrown across the fence for the “DevOps team” to solve, while the developer who built the software has to wait.

DevOps 130
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Publish Azure DevOps Extensions using Azure Workload Identity

Xebia

As you may know, I maintain several Azure DevOps Extensions. To publish them I use the Azure DevOps extension tasks. If you need help configuring a basic CI/CD pipeline for an Azure DevOps Extension, check out the guidance on Microsoft Learn ). Recently the whole of Azure DevOps got support for Workload Identities.

Azure 130
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The Ultimate Guide to Software Delivery & Engineering Metrics

As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. Keys to automation at different stages of organization maturity. Maintaining a culture of DevOps no matter what the size of your organization is. The "two pizza" team culture.

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Team Leadership in the Age of Agile

Speaker: Roy Osherove, Technology and Leadership Consultant

To do this, you've learned a wide variety of techniques and methodologies - SCRUM, Kanban, TDD, DevOps, self-organized teams, and much more. Roy Osherove, the author of Elastic Leadership, is going to provide some answers that come from his experience seeing this across many different organizations.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. This workshop helps assess where your organization sits on the analytics maturity scale and where you might aspire to be. Translating DevOps principles into your data engineering process.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.