Google Cloud Shell Reviews & Product Details

The best thing was to use google cloud run and to test it for real time task - that is using faas approach - testing the deep learning seq2seq model for classification task of the video frame in real time. Gcloud run offer multiple parameters like public and private URL to test the app internally ( in the gcloud Ip addresses) or externally ( making the app available for the public), scalability, CPU boost to boost the request from the clients and scalability using minimum and maximum number of instances. And I got results in real time for 20 clients efficiently, accurately and quickly.

Also google offered my project with the grant of 25K$ so I can use the services for free and experiment them. Review collected by and hosted on G2.com.

Although I'm able to get real time results which I expected - but there I faced cold start problem - even though I set the minimum instances set to 1; but after remaining idle for above 1 to 2 hours - when there is the request of the user to the server - the model started to load and thus - the gcloud run app/link couldn't give results faster and even sometimes give no results.

Secondly, I faced Domain Sharing issue here, even though I have admin acces of my account but I solved after doing experimenting multiple things - there was no proper documentation on how to give access to the user inside the account other users. Review collected by and hosted on G2.com.

I liked the Services like Cloud Run, Cloud Run functions, BigQuery, VPN Gateways , VPC Access connector, App Engine. Also the Cloud DNS service is an amazing thing to ensure more security with the resources and Concept of Project is another intresting factors when comparing to AWS or Azure Review collected by and hosted on G2.com.

I Faced some challenges mostly with App engine and IAM , i didn't feel easiness in these areas. Also the authenication part is bit complex and not quite easy Review collected by and hosted on G2.com.

The best thing about Google Cloud Platform (GCP) is that it is an industry-leading cloud platform with the best AI and ML capabilities. It is very easy to use with an exciting and understanding user interface also implementation of modern cloud-native applications is also easy. Review collected by and hosted on G2.com.

It has a very small market share as compared to its active competitors like AWS and Azure and its support service is not that good too for a beginner in GCP environment Review collected by and hosted on G2.com.

I am working on Mahindra as cloud engineer , all use case that we have on our company I will work on , like deploy application on Compute instance , GKE and pass servcie cloud run also . and data analytic part : we used cloud composer , big query , data proc cluster .. as storage we use cloud spanner , gcs , sql .. at ui and servcie side google cloud is ok , Review collected by and hosted on G2.com.

google cloud ui for IAM releted not good , speed also not good network side . google team need to work on documention also . google team aslo team to wrok on avilablity of instance on all region . Review collected by and hosted on G2.com.

- Large community for support and help.

- Conduct programs like Google cloud ready to give experience with courses of handson training.

- Data centres world wide for faster performance Review collected by and hosted on G2.com.

- Steep learning curve as there are multiple features and services clustered together.

- Difficulty integrating with non google services

- Difficult to switch to alternate cloud partners Review collected by and hosted on G2.com.

Google Cloud Provides a lot of features including Advanced Data Analytics and Machine Learning Capabilities. One of the best features of Data Analytics is BigQuery. It is a serverless architecture which also ensures quick deployments. BigQuery is SQL compatible which makes it easier to use. It also gives real time analytics. Review collected by and hosted on G2.com.

Although Google Cloud has a lot of features, it comes with some cons as well. One of its demerit is tha it is costly as compared to other cloud computing services. Review collected by and hosted on G2.com.

Scalability, security, and seamless integration make Google Cloud an ideal platform, allowing for effortless growth, robust protection, and streamlined workflows that enhance productivity and efficiency. Review collected by and hosted on G2.com.

Steep learning curve, complex pricing model, and limited customization options. Review collected by and hosted on G2.com.

Feature I like most about GCP is it provides high availability, scalability, fault tolerance, read replicas depending on different services. On top of it, also gives option to implement serverless application in which we don't have to provision any infrastructure of out application, it is automatically managed by Google Cloud only. Review collected by and hosted on G2.com.

To manage data from on-premises to Google Cloud is difficult as networking is too much difficult to manage in GCP. And another thing I dislike is to manage billing, it doesn't give combine billing of some services like Cloud Dialogflow. It should also give notification if some resources have not been used from a longer time. Review collected by and hosted on G2.com.

- BIGData Data lake Platform

- GKE Cluster (Absloute GEM)

- Compute Instance

- Geo based routing in Load Balancer controllers

- PS Sql and replications

- Global VPC and Regional subnets

- Cloud functions and Cloudrun

- Cloud build for free of cost Review collected by and hosted on G2.com.

- Their support is the worst

- Some of their features are not mature enough compared to AWS

- More Data oriented service,

- Not enough tooling around cost visibility Review collected by and hosted on G2.com.

That it has all the tools (Big Query, Vertex AI, Kubernetes) that work well for me and my line of work Review collected by and hosted on G2.com.

The documentation and the fact that there are so many services that sometimes I do not even know what I can use. Review collected by and hosted on G2.com.