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Shift Left Testing in Microservices Environments

DevOps.com

By now, it’s common knowledge that the later a bug is detected in the software development life cycle (SDLC), the longer it takes and the more expensive it is to fix that bug. In 2017, the Ponemon Institute found that it cost around $80 on average to fix a defect detected early in the SDLC […].

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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. Cost of Change.

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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. which affords developers more time to focus on business logic.

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Metrics Matter: The 4 Types of Code-Level Data OverOps Collects

OverOps

At the foundation of this framework is the concept of Continuous Reliability (CR) , or the notion of balancing balancing speed, complexity and quality by taking a continuous, proactive approach to reliability across the SDLC. When it comes to CR, it’s not just about what data you can capture, but how you analyze and leverage it.

Metrics 207
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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. . The build, test, and deployment pipelines of DevOps are simplified using containers by enabling better collaboration between development and operations. The Switch to Assembly Lines.

DevOps 69
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Projects in SQL Stream Builder

Cloudera

By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions. brokers, trust store) Catalog properties (e.g.