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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity.

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . 1 Performance-as-a-self-service at Pay P al .

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Explore Autonomous Cloud Management at an Autonomous Cloud Lab

Dynatrace

You’ll be introduced to modern software architecture concepts, containers, feature flags, CI/CD pipeline tools, container orchestration tools, runbook automation tools and much more. Following on from that, our developing microservices lab session will demonstrate best practices you can leverage for microservice development.

Cloud 136
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The Unicorn Project Review: Finding Flow with the Five Ideals 

Tasktop

These stories paint a very clear picture of how business leaders need to adapt by learning value stream thinking in order to survive and thrive in the Age of Software. For example, making major staffing, outsourcing or architecture is foolhardy without measuring how those decisions impact flow on a particular value stream. .

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10 talks to look for at the 2018 O'Reilly Software Architecture Conference in London

O'Reilly Software

From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content. We received more than 200 abstracts for talks for the 2018 O'Reilly Software Architecture Conference in London—on both expected and surprising topics.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? How can you start applying the stack in practice today?

DevOps 138
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.