CircleCI
DECEMBER 3, 2021
A key goal for any DevOps team is to shorten the software development cycle and provide continuous delivery of high-quality software. Instead of continuing to the next logical goal, continuous deployment, most companies stop here. Continuous delivery versus continuous deployment.
Openxcell
JANUARY 24, 2022
By virtualizing the entire ecosystem, businesses can design, provision, and manage the components of the ecosystem entirely in the software. This results in infrastructure flexibility and cost-efficiency in software development organizations. A code-based approach makes it easier for software developers to do more in less time.
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Altexsoft
NOVEMBER 18, 2022
DevOps might have been the most influential trend in software development for the past few years. One of the crucial elements of the DevOps software development approach, it allows you to fully automate deployment and configuration, thus making continuous delivery possible. for each deployment.
Trigent
MARCH 8, 2021
Many of these like deployment frequency, error rates at increased load, performance & load balancing, automation coverage of delivery process and recoverability helps to ascertain the efficiency of QA scale up. Trigent is an early pioneer in IT outsourcing and offshore software development business.
Altexsoft
JULY 4, 2022
Continuous integration and continuous delivery (CI/CD) platforms. CI/CD tools automate essential steps in software projects speeding up their launch in production. Infrastructure engineers who are expected to support solutions delivery must be advanced users of such instruments as Jenkins , Travis CI , or Circle CI.
OTS Solutions
SEPTEMBER 5, 2023
Each microservice can be developed, deployed, and tested independently, enabling faster and more efficient software development cycles. DevOps encourages the collaboration between development, operations, and other teams involved in the software development lifecycle.
LaunchDarkly
JANUARY 17, 2019
Edith joins the show to discuss how to implement feature flagging, why an intelligent release process can lead to a more scientific predictable environment for software development and many other topics. JM: Software engineers can build their applications faster when they use higher-level APIs and infrastructure tools.
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