Edge computing: Edge computing is an emerging computing paradigm that refers to a range of networks and devices at or near the user. Edge is about processing data closer to where it’s being generated, enabling processing at greater speeds and volumes, leading to greater action-led results in real-time.
Microservices: This is an approach to building software systems where large, monolithic systems are broken down into smaller, independent components that can be developed, deployed, and scaled independently. This allows for more flexibility and agility in the development process.
Serverless Architect: This is a design pattern where applications are built using a combination of functions-as-a-service (FaaS) and managed services, rather than relying on traditional servers. This can be more cost-effective and scalable than traditional approaches.
Cloud-Native Architect: This is a design pattern that is optimized for cloud computing environments, taking advantage of the scalability, reliability, and other benefits of the cloud.
Containerization: This is the use of container technologies, such as Docker, to package applications and their dependencies into a single, portable package that can be easily deployed and run in any environment.