Remove AWS Remove Culture Remove Product Management Remove SCRUM
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How do you know DevOps is working?

CloudGeometry

Twenty years into the Agile Revolution , the virtuous cycle (time boxing, scrum, kanban, iterative discovery-and-development) pays dividends all around. It goes beyond just engineering culture and draining the backlog using harmonious collaboration. Second is the accelerated acceptance of software-defined infrastructure as a norm.

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Cross-Functional Teams in Product Development: Definition, Principles and Examples

Altexsoft

For this, companies need to carefully design their teams, set clear goals and processes, and cultivate the culture of mutual trust and communication between employees with different expertise. So, cross-functional team approach is a fundamental aspect of Agile project management. What is a сross-functional team?

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Panel Discussion: Teams, Processes, and Practices in DevOps

LaunchDarkly

I mean we do Agile since she brought it up, but I don’t consider myself a scrum master or anything like that. First of all, everything runs in AWS and we bring all the logs into another instance from our production instance and then we monitor it there and we build features because that’s the best way to learn.

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The Best 39 Development Tools

Codegiant

Fully customizable Kanban and Scrum boards. Complex migration and integration from other ALM (application lifecycle management) systems. User Review “ Perfect Solution for Product Management (Planning work and Tracking progress) ” Codegiant Codegiant is a very powerful and, at the same time, a simple, agile project development tool.

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The Best 40 Development Tools

Codegiant

Fully customizable Kanban and Scrum boards. Complex migration and integration from other ALM (application lifecycle management) systems. Features Kanban and Scrum dashboards. Easy to use and boost the productivity.” Features Team management tool. It is developed and maintained by Amazon AWS.

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Grown-Up Lean

LeanEssays

I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.