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How Agile Metrics can Boost your Product Development Process

RapidValue

A report by the Harvard Business Review states that companies that adopt Agile processes, experience 60% in revenue and profit growth. The statistics surrounding Agile Methodology thus points to the simple fact that this methodology has grown legs. What exactly is Agile Metrics? . Agile Quality Metrics.

Metrics 95
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Why Cloud Native?

Daniel Bryant

Speed and stability, platforms, and full cycle development The emergence of “cloud native” technologies and practices, such as microservices, cloud computing, and DevOps, has enabled innovative organisations to respond and adapt to market changes more rapidly than their competitors. Accordingly, the cloud native SDLC is very different.

Cloud 52
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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

New use cases: event-driven, batch, and microservices. CDF-PC’s DataFlow Deployments provide a cloud-native runtime to run your Apache NiFi flows through auto-scaling Kubernetes clusters as well as centralized monitoring and alerting and improved SDLC for developers. Improved developer agility.

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The DevOps Trends Forecast for 2020

RapidValue

Some of the notable technologies and tools boosting the cloud-native model are microservices, containerization, Agile methodology, CI/CD and the like. . Leveraging the automation and scalable features of cloud computing, DevOps teams can drive innovation, achieve agility, resilience and increased business value.

DevOps 69
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Avoiding Business Stasis by Modernizing Ops, Architecture & More

StubHub

Auto-scaling microservices clusters to drive higher utilization ? Full automation of the software development life cycle (SDLC) using Concourse pipeline continuous integration/continuous deployment (CI/CD) that incorporates full test automation ? Hybrid deployment allows services to incrementally move to microservices.

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Top Disadvantages to Adopting Microservices (And Why You Should Do It Anyway)

OverOps

Microservices is a thought model that promises to bring us closer to that goal. By breaking up an application into specialized containers designed to perform a specific task or process, microservices enable each component to operate independently. What Makes Microservices Hard? What makes Microservices hard?

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DZone Repost: Testing Serverless Functions

OpenCredo

In a microservices (or even nanoservices, as serverless functions are sometimes known) architecture, there are inherently lots of components, modules, and services that form part of an application or platform. This can make testing a chore, and sometimes a neglected part of the SDLC for these platforms.