Docker has taken the container world by storm, broadly popularizing the use of containers. It's not hard to see why it became popular when you consider the impressive list of benefits you can attain by using Docker including:

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There are some workloads that are well suited for the flexibility that virtual machines provide. Virtual machines enable you to choose the operating system, tools, languages, and configuration management tools. If you're going to use virtual machines, then you're going to also be using Azure Storage, because VMs rely on it for disk storage. Azure Storage doesn't stop at disk storage, it also provides NoSQL, Blob, File and Queue options.

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This learning path demonstrates practical applications of AWS machine learning and Artificial Intelligence services using a blend of instructional learning and hands-on labs. At the conclusion of this learning path, you will be able to implement and experiment with Amazon Machine Learning platform and application services.

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This self-paced training course gives participants broad study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets and firewalls. The course also covers access control to networks, sharing networks and load balancing.

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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.

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Hey guys, so I passed the GCP : Professional Data Engineer exam on 17th January 2020 and I went through a really tough time gathering all the resources to study and practice. So, I thought that it would be great if I could collate all the things at one place which would help other aspiring people to prepare thoroughly for the exam. The exam pattern has been changed since March'19 and all the things included in this post are w.r.t the new pattern. I will also be attaching links for each and every resource that I mention in this article so that all you need to do is follow along and start preparing.

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Understanding Your Google Cloud Platform (GCP) Costs is most suitable for those working in a technology or finance role who are responsible for managing GCP costs.
You'll learn how to set up a billing account, organize resources, and manage billing access permissions.

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Optimizing Your Google Cloud Platform (GCP) Costs is the second course in a two-part series on GCP billing and cost management essentials.
This course is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization's cloud infrastructure.

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Cloud platforms are continuing to grow and evolve. There was a time when cloud platforms consisted of a few core services: virtual machines, blob storage, relational databases, etc. Cloud platforms are now much more complex, with services being built on top of other services. Kubernetes Engine, for example, runs on top of Compute Engine and integrates with the Container Registry, load balancers, and other services. With so many services of varying levels of complexity, it can be overwhelming to develop cloud-based solutions.

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This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

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