Google Compute Engine is a service-based infrastructure that allows clients to easily work through Google's physical hardware and Google compute cloud
The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon's Elastic Compute Cloud (EC2) and Microsoft Azure.
Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.
If you looking to learn about Google Cloud in depth or in general with or without any prior knowledge in cloud computing, then you should definitely check this quest out.
In this section, the main areas are progressively more technical and requires hands-on experience to really understand how to deploy services such as GKE, DataStore, Pub/Sub, etc. Networking, Storage and Compute are covered in detail with a focus on Compute Engine, GKE, BigQuery, Cloud Storage, and Deployment Manager.
First Serverless compute service by Google Cloud.Google Cloud has always believed in the vision of serverless by debuting with Google App Engine in 2008, the first fully serverless compute service. Since then, Google has evolved more serverless offerings in both application development and analytics. I started working in Google App Engine in May 2017 and I am going to share my experience with GAE.
How to study for (and pass) Google’s cloud certification exam. This article provides resources and suggestions to aide in your studying for the ACE exam.