Continuous Delivery Continuous Integration IoT Software Development 
Trigent
MARCH 20, 2022
With digital adoption being on an accelerated path than ever before, faster launch to the market and continuous delivery have become a prerequisite for competitive differentiation. While CI/CD pipeline -based software development has become the norm, QE’s role in the CI/CD-based development process is equally important.
OTS Solutions
JULY 18, 2023
To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. DevOps is a software development approach that bridges the gap between development and operations teams, ensuring a seamless and continuous software delivery pipeline.
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OTS Solutions
JULY 18, 2023
To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. DevOps is a software development approach that bridges the gap between development and operations teams, ensuring a seamless and continuous software delivery pipeline.
DevOps.com
MARCH 10, 2023
In many cases, success in the business world relies on software, be it a compelling mobile app, desktop application suite, interactive website or even an embedded system for the IoT. Because of this need, companies with mature software development processes enjoy a significant competitive advantage over those without.
Xebia
FEBRUARY 21, 2023
Doomsaying aside, addressing software security is an ever increasing concern and has birthed specialisations in our industry. Everything Everywhere, All At Once Speaking of that which is ubiquitous, the adoption of Internet of Things (IoT) and it’s applications has risen and is likely to continue to do so.
Trigent
JUNE 22, 2022
Over 62% of enterprises use CI/CD (continuous integration/continuous delivery) pipelines to automate their software delivery process. Yet once the organization establishes its main pipelines to orchestrate software testing and promotion, these are often left unreviewed.
Altexsoft
JULY 23, 2020
It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. More time for development of new models. Shorter time to market of ML models.
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