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Discover 2022 DevOps trends with CircleCI data report

CircleCI

Focusing on testing, whether it’s practices like test-driven development (TDD), or integrating validation into your normal development process at all phases of the SDLC, will give you confidence, even when headcount is low.

Report 98
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Test data management in an increasingly digital world

Trigent

This is why dependency on agile, DevOps, and CI/CD technologies has increased tremendously, further translating to an exponential increase in the adoption of test data management initiatives. However, demographic data or data related to customer purchasing behavior applicable in a retail application context is highly dynamic.

Testing 97
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Cybersecurity Snapshot: 6 Things That Matter Right Now

Tenable

14 | DevOps team culture is key for supply chain security | SecOps gets more challenging as attack surface expands | Weak credentials hurt cloud security | Incident responders grapple with stress | Security spending grows | And much more! . 1 – Google’s DevOps report zooms-in on supply chain defense.

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Test data management in an increasingly digital world

Trigent

This is why dependency on agile, DevOps, and CI/CD technologies has increased tremendously, further translating to an exponential increase in the adoption of test data management initiatives. However, demographic data or data related to customer purchasing behavior applicable in a retail application context is highly dynamic.

Testing 52
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Is Your Application Ready for the Holiday Shopping Season?

OverOps

As consumers ramp up their seasonal spending, retailers, credit card companies and digital payment services alike are under immense pressure to deliver a seamless buying experience. That said, there’s no time like the present to think about code quality early and often in your SDLC.

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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

Brick-and-mortar retailers see a 1 to 2 percent sales jump when using AI and ML to guide customer personalization. Even if they do, many projects get stuck in the ever-so-fragile SDLC. Advanced manufacturers see 5 percent reductions in inventory costs and revenue increases of 2 to 3 percent when using ML and AI in forecasting.