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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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5 You’re Probably F**king Up Your Microservices

OverOps

It seems like everyone is into microservices these days, and monolith architectures are slowly fading into obscurity. With Microservices, though, there seems to be more consensus that the trend is here to stay. With Microservices, though, there seems to be more consensus that the trend is here to stay. It makes sense.

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DZone Survey 2023 Tracks Range of Container Experiences

d2iq

Only 22% of respondents said their company uses microservices, while in our 2022 Microservices survey, the rate was 93%, and in the 2021 Containers survey, it was 74%. Respondents at organizations using microservices had significantly more code and computational work running in containers.

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NiFi as a Function in DataFlow Service

Cloudera

It also effectively provides a serverless architecture and is very widely used when building microservices applications. Any customer willing to run NiFi flows efficiently at scale should now consider adopting CDF-PC. However, for certain use cases, we want to go one step further.

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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.

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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