Remove Microservices Remove SDLC Remove Software Development
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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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What CEOs really need from today’s CIOs

CIO

Modern delivery is product (rather than project) management , agile development, small cross-functional teams that co-create , and continuous integration and delivery all with a new financial model that funds “value” not “projects.”.

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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. Software Data Optimization – Our agent operates between the JVM /.NET Transactions & Performance Metrics.

Metrics 207
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Shift Left: Should You Push It or Pull It?

Prisma Clud

In cloud-native development, managing security across every phase of the development lifecycle is critical. Whether working with Docker files, identity systems, microservices or serverless functions, each component presents security risks that must be addressed early.

SDLC 69
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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.

Survey 52
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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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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. . Containers aid in rolling out faster updates because the application is distributed into different microservices that are hosted in different containers. The Switch to Assembly Lines.

DevOps 69