From the Gartner Hype Cycle to the Dunning-Kruger Effect in Technical Development During my tenure as Enterprise Architect at Methanex, the world’s largest methanol producer, I relied heavily on resources like the Gartner Hype Cycle to monitor emerging technologies that could provide a competitive advantage to our company. With a subscription to the Gartner Group,
I have had the opportunity to perform two key IT Planning roles for different organizations: Enterprise Architect and Head of PMO. From this experience, I have observed that there are quite a few similarities between the two disciplines, especially in terms of strategic alignment and governance. However, each role has its own unique strategic components
Full stack engineers using Django often don’t need GraphQL. Django REST Framework (DRF) offers powerful tools for creating custom views and serializers, allowing developers to quickly and efficiently tailor APIs to exact data requirements. This approach provides precise control over request handling, ensures only necessary data is included in responses, and enhances security with robust
GraphQL and Django REST Framework (DRF) are two popular technologies for building APIs in the Python ecosystem. GraphQL offers flexibility while DRF is a robust toolkit for building RESTful APIs with a more rigid structure, making it suitable for well-defined and stable data requirements.
