Cloud-Digital-Leader Dumps With Exact Questions and Answers

Kubernetes vs. Docker

Often misunderstood as a choice between one or the other, Kubernetes and Docker are different yet complementary technologies for running containerized applications.

Docker lets you put everything you need to run your application into a box that can be stored and opened when and where it is required. Once you start boxing up your applications, you need a way to manage them; and that's what Kubernetes does.

Kubernetes is a Greek word meaning ‘captain’ in English. Like the captain is responsible for the safe journey of the ship in the seas, Kubernetes is responsible for carrying and delivering those boxes safely to locations where they can be used.

- Kubernetes can be used with or without Docker.

- Docker is not an alternative to Kubernetes, so it’s less of a “Kubernetes vs. Docker” question. It’s about using Kubernetes with Docker to containerize your applications and run them at scale.

- The difference between Docker and Kubernetes relates to the role each play in containerizing and running your applications.

- Docker is an open industry standard for packaging and distributing applications in containers.

- Kubernetes uses Docker to deploy, manage, and scale containerized applications.

A top-level idea about Apigee API Management and its offered features can help you solve all questions related to Apigee in Cloud Digital Leader Practice Exam.

Apigee is a platform for developing and managing APIs. By fronting services with a proxy layer, Apigee provides an abstraction or facade for your backend service APIs and provides security, rate limiting, quotas, analytics, and more.

Apigee services: The APIs that you use to create, manage, and deploy your API proxies.

Apigee runtime: A set of containerized runtime services in a Kubernetes cluster that Google maintains. All API traffic passes through and is processed by these services.

Cloud Trace is a built-in tool in the Operations suite to identify issues like latency.

-> Such fixes are unlikely to change core issues like the service itself being architected or written sub-optimally. Though changes like browser, networking, etc. are helpful, it would be the wrong approach to first recommend that the customer upgrade all their hardware and software.

-> Rewriting code and logging information is going to be time consuming. In general though, logging should always be included in code and it can give good insights. But tracing is way more specific and comprehensive for this requirement.

-> In certain cases, we might identify scaling as the issue. But we should first identify the core problem. So, start with tracing. We can also achieve scale in server-ful technologies.

Reference link-  https://cloud.google.com/trace