Google Cloud

21 Google Cloud Tools, Each Explained In Under 2 Minutes

Need a quick overview of Google Cloud core technologies? Quickly learn these 21 Google Cloud products—each explained in under two minutes.

1. BigQuery in a minute

Storing and querying massive datasets can be time consuming and expensive without the right infrastructure. This video gives you an overview of BigQuery, Google’s fully-managed data warehouse. Watch to learn how to ingest, store, analyze, and visualize big data with ease.

2. Filestore in a minute

Filestore is a managed file storage service that provides a consistent view of your file system data and steady performance over time. In this video, we give you an overview of Filestore, showing you what it does and how you can use it for your developer projects.

3. Local SSD in a minute

Need a tool that gives you extra storage for your VM instances? This video explains what a Local SSD is and the different use cases for it. Watch to learn if this ephemeral storage option fits best with your developer projects.

4. Persistent Disk in a minute

What are persistent disks? How can they help when working with virtual machines? This video gives you a snackable synopsis of what Persistent Disk is and how you can use it as an affordable, reliable way to store and manage the data for your virtual machines.

5. Cloud Storage in a minute

Managing file storage for applications can be complex, but it doesn’t have to be. In this video, learn how Cloud Storage allows enterprises and developers alike to store and access their data seamlessly without compromising security or hindering scalability. 

6. Anthos in a minute

Modernizing your applications while keeping complexity to a minimum is no easy feat. In this video, learn why Anthos is a great platform for providing greater observability, managing configurations, and securing multi and hybrid cloud applications.

7. Google Kubernetes Engine in a minute

In this video, watch and learn how Google Kubernetes Engine (GKE), our managed environment for deploying, managing, and scaling containerized applications, can increase developer productivity, simplify platform operations, and provide greater observability.

8. Compute Engine in a minute

How do you migrate existing VM workloads to the cloud? In this video, get a quick overview of Compute Engine and how it can help you seamlessly migrate your workloads.

9. Cloud Run in a minute

What is Cloud Run? How does it help you build apps? In this video, get an overview of Cloud Run, a fully managed serverless platform that allows you to easily create applications seamlessly. Watch to learn how you can use Cloud Run for your developer projects.

10. App Engine in a minute

Learn how this serverless application platform allows you to write your code in any supported language, run custom containers with the framework of your choice, and easily deploy and run your code in the cloud. 

11. Cloud Functions in a minute

Get a quick overview of Cloud Functions, our scalable pay-as-you-go functions as a service (FaaS) to run your code with zero server management.

12. Firestore in a minute

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps, at global scale. In this video, learn how use Firestore and discover features that simplify app development without compromising security.

13. Cloud Spanner in a minute

Cloud Spanner is a fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability. In this video, you’ll learn how Cloud Spanner can help you create time-sensitive, mission critical applications at scale.

14. Cloud SQL in a minute

Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud. In this video you’ll learn how Cloud SQL can help you with time-consuming tasks such as patches updates, replicas, and backups so you can focus on designing your application.

15. Memorystore in a minute

Memorystore is a fully managed and highly available in-memory service for Google Cloud applications. This tool can automate complex tasks, while providing top-notch security by integrating IAM protocols without increasing latency. Watch to learn what Memorystore is and what it can do to help in your developer projects.

16. Bigtable in a minute

Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. In this video, you’ll learn what Bigtable is and how this key-value store supports high read and write throughput, while maintaining low latency.

17. BigQuery ML in a minute 

BigQuery ML lets you create and execute machine learning models in BigQuery by using standard SQL queries. In this video, learn how you can use BigQuery ML for your machine learning projects.

18. Dataflow in a minute

Dataflow is a fully managed streaming analytics service that minimizes latency, processing time, and cost through autoscaling and batch processing. In this video, learn how it can be used to deploy batch and streaming data processing pipelines.

19. Cloud Pub/Sub in a minute

Cloud Pub/Sub is an asynchronous messaging service that decouples services that produce events from services that process events. In this video, you’ll learn how you can use it for message storage, real-time message delivery, and much more, while still providing consistent performance at scale and high availability.

20. Dataproc in a minute

Dataproc is a managed service that lets you take advantage of open source data tools like Apache Spark, Flink and Presto for batch processing, SQL, streaming, and machine learning. In this video, you’ll learn what Dataproc is and how you can use it to simplify data and analytics processing.

21. Data Fusion in a minute

Cloud Data Fusion is a fully managed, cloud-native, enterprise data integration service for quickly building and managing data pipelines. In this video, you’ll learn how Cloud Data Fusion can help you build smarter data marts, data lakes, and data warehouses.

By Sharon Maher(Editor-in-Chief, Google Cloud)
Source: Google Cloud Blog

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