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Top 5 continuous delivery tools in DevOps!

Openxcell

Yet, development teams have access to a number of tools that can assist them in automating their procedures through continuous deployment. There are numerous tools available in the market that can help with the various phases of continuous delivery. That is why tools for continuous integration and delivery are so important.

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5 ways to do Continuously Improved Testing

Xebia

In many organizations, automated testing lags behind and becomes a bottleneck for successful continuous delivery. Either tests do not provide enough confidence or companies take a very traditional approach, resulting in releases either introducing substantial risks or becoming costly. Prerequisites. Independent.

Testing 130
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Rethinking DevOps and automation with a layered approach

CIO

Between all the different components of the DevOps toolchain—from build to test to deployment and monitoring—trying to integrate and then manage a swath of automation through all these processes can get complicated quickly. Operating automation in pockets serves to make that complication worse, hampering critical functions like compliance.

DevOps 268
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Role of Microservices Integration in Continuous Delivery

Mobilunity

This architecture allows for fast development, testing, and deployment and is still used for software development. This allows for continuous deployment, automated microservice integration testing, easier scalability, decreased risks of major app failures, faster time to market, and speedy reaction to customer demand, among other benefits.

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How DevOps Can Optimize Continuous Delivery with Value Stream Mapping

Gorilla Logic

As DevOps teams optimize their continuous integration and continuous delivery (CI/CD) pipeline, they may struggle to identify and prioritize improvements that add value to the end customer. Consider the case of automating a test suite, for example. Running an automated test is clearly faster than running it manually.

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Through the Looking Glass: Exploring the Wonderland of Testing AI Systems

Xebia

As we depend more on these systems, testing should be a top priority during deployment. AI systems are even more vulnerable as, besides code, they leverage data and algorithms, so you need to test all the components to avoid whammies. When a new system version is ready, the tests ensure it still functions correctly.

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Implementing Continuous Integration / Continuous Delivery (CI/CD) with Next.js and Google Cloud Platform

Gorilla Logic

has become one of the most versatile and widely used front-end technologies. If you follow these steps, you can configure your application and start using GCP in a continuous integration/ continuous delivery (CI/CD) system. Create Dockerfile.dockerignore files and test locally. NEXT.JS + GCP = ??????. application.