Devops is tough, but the choice between faster development and improving reliability shouldn't be. Now is the time to consider shifting-left.
Lengthy design phases used to be a required step and sometimes an enterprise prerequisite before engineering teams began developing apps and systems.
IT leaders suggest getting to know each employee personally and customising opportunities for flexibility, growth, and wellness.
Talented software developers bristle at the idea of being closely managed. Here are seven ways to align development teams and business objectives.
Seek diverse candidates, don’t overwork them, and offer growth. The advice isn’t new, but current conditions make it more important than ever.
This emerging technology merges the physical and digital worlds in ways that have the potential to transform many industries.
Embedding analytics in apps is a smart way to expose decision-making capabilities directly in employee workflow and customer-facing apps.
The three big cloud providers want developers and data scientists to develop, test, and deploy machine learning models on their clouds.
Automation and integration are key for companies hoping to modernise dev, ops and security workflows.
Feature flags boost integrations with analytics, provide feature controls to product owners, and improve app rollouts.
Better testing means better software. Using NLP, test data generation, and optimised testing can quickly improve applications.
Best practices such as code refactoring and using microservice design patterns help software developers working at high velocity.
Embedding analytics in applications is a smart way to expose insights and decision-making capabilities directly in employee workflow and customer-facing apps.
Multiple options make machine learning available to professional data scientists, citizen data analysts and software developers.
When teams are split between home and office, establishing some ground rules will keep projects moving efficiently.
