Best Practices Software Engineering Strategy Technology 
Dynatrace
APRIL 22, 2024
In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. It addresses the extent to which an organization prioritizes automation efforts, including budgets, ROI models, standardized best practices, and more.
Dynatrace
JANUARY 18, 2023
From site reliability engineering to service-level objectives and DevSecOps, these resources focus on how organizations are using these best practices to innovate at speed without sacrificing quality, reliability, or security. Rather than a technology, DevOps is a tactical approach to application development.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dynatrace
JANUARY 23, 2024
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. As organizations adopt more AI technologies, the associated costs are skyrocketing.
Dynatrace
FEBRUARY 24, 2021
The events of 2020 accelerated the trend of organizations shifting to cloud-native technologies in response to the dramatic increase in demand for online services. Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. Adopting these practices is a culture shift.
Dynatrace
MARCH 3, 2020
The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. One way to apply improvements is transforming the way application performance engineering and testing is done.
Testlodge
MAY 26, 2021
Besides, complex architecture, non-availability of required expertise, a lack of new tools or advanced technology, inappropriate domain knowledge, etc., A risk analyst or an experienced software engineer will be in the best position to carry out this activity. can create a risk.
The Morning Paper
FEBRUARY 18, 2020
Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. The authors of the paper have "extensive experience of using ML technologies in production settings" between them. The key insight this led to is that ML models are software , derived from data.
Expert insights. Personalized for you.
191 
Let's personalize your content