When it comes to Google Cloud Platform Cloud Identity-Aware Proxy, I have used it as a collaboration tool since I was supposed to use it on one-on-one calls and on Google Chat. I have used the tool for pictures, specifically when you upload and share pictures.
We have an Infrastructure-as-a-Service (IaaS) solution hosted on the Google Cloud platform and deployed internally. We use the solution to do identity and access management and security updates on that.
Learn what your peers think about Google Cloud Platform Cloud Identity-Aware Proxy. Get advice and tips from experienced pros sharing their opinions. Updated: May 2024.
I use the solution for the storage of my vital documents, collection of data, analysis of data, presentations, and email. I could create forms and collect data required for different purposes.
We use GCP for many resources, including Google Kubernetes cluster (GK), monitoring with Stackdriver and Work Explorer, Cloud Insight, Cloud Storage for backup, Container Registry, VPC, complete VM, Memory Store, and Redis. We also use Robitankyo and the message query.
Google Cloud Platform's Cloud Identity-Aware Proxy manages our organization's entire user database across the Middle East region for PwC. In addition, the solution is used to run virtual environments and storage solutions. It also serves our needs for AI or any other applications, including using Apps Script.
For Google Cloud Platform (GCP), we use it as our infrastructure. We host our infrastructures and create our machines, services and automation pipelines. For Google Cloud Identity, we use it as an identity portal for all of our applications. In addition, the internal application for the tools is used for monitoring the product.
Head of Practice at a tech services company with 501-1,000 employees
Real User
2021-04-26T10:25:39Z
Apr 26, 2021
I've been using Google virtual machines, Google FUSE. It has many, many products across the entire cloud platform. GCP can be used for data storage and for virtual machine creation.
Staff Technical Program Manager at a retailer with 10,001+ employees
Real User
2020-10-06T06:57:48Z
Oct 6, 2020
I work in a retail company. We have a physical data center where we use IBM servers. We want to get rid of them because every time we have a peak season, we have to add the infrastructure and then remove it when it is not the peak time. This process of adding the servers, taking notes, and bringing them down requires a lot of operational effort. There is a lot of manual intervention for adding the resources and configuring the servers, which is a lot of work for the company. That's why we are migrating all our applications. Google Cloud will help us in getting the additional assistance just by clicking a button. We basically want to automate instead of doing manual interventions. It is an organizational initiative to move to Google Cloud. At least five to ten teams are involved based on each application and around a hundred people are involved.
We use it for software social media analytics. That software can call social media like Facebook, Instagram, and news online media. We call them and put them in the container. And then we analyze the data and display it on the dashboard. We use the GCP to run our server production.
It's a cloud-based solution, so it's always the latest version. We use it for identity management, monitor resources, and to monitor the cloud resources. The number of users are small, but the number of resources being managed is large. We plan to roll it out to about 30,000 people.
Our financial system is on Oracle-based, SaaS, hosted on the Oracle cloud. From different XML sources, we had to bring in high volumes of transactions into the financial system. Before we put all of the data into the product and financial system, we need the data to go through some data messaging, and create some rules and derive some values. There are five or six million records every day. Google has some very good tools on its platform. They have an App Engine and cluster-based programming so that you are able to achieve high performance.
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I used the tool for data storage.
When it comes to Google Cloud Platform Cloud Identity-Aware Proxy, I have used it as a collaboration tool since I was supposed to use it on one-on-one calls and on Google Chat. I have used the tool for pictures, specifically when you upload and share pictures.
The solution can be used to share pictures, videos, and documents. We can store other things in MP3 and MP4 formats.
We have an Infrastructure-as-a-Service (IaaS) solution hosted on the Google Cloud platform and deployed internally. We use the solution to do identity and access management and security updates on that.
We use the product for multiple features including spreadsheets to be shared on the drive, uploading documents, and many other functionalities.
I use the solution for emails, reminders, and other personal work. I am a service engineer, and I use the solution alone.
I use the solution for the storage of my vital documents, collection of data, analysis of data, presentations, and email. I could create forms and collect data required for different purposes.
I use the solution for Google Home. All my switches are connected to Google Home, allowing me to control everything online.
Our use cases for the service include online form submission and PowerPoint and Excel version control.
The product helps to connect VMs and servers.
We use GCP for many resources, including Google Kubernetes cluster (GK), monitoring with Stackdriver and Work Explorer, Cloud Insight, Cloud Storage for backup, Container Registry, VPC, complete VM, Memory Store, and Redis. We also use Robitankyo and the message query.
Google Cloud Platform's Cloud Identity-Aware Proxy manages our organization's entire user database across the Middle East region for PwC. In addition, the solution is used to run virtual environments and storage solutions. It also serves our needs for AI or any other applications, including using Apps Script.
Our company uses the solution to protect our online learning application.
Delivery Hero primarily uses GCP as the cloud provider. All of our services are deployed on GCP and we utilize GCP's Pub/Sub queues for messaging.
For Google Cloud Platform (GCP), we use it as our infrastructure. We host our infrastructures and create our machines, services and automation pipelines. For Google Cloud Identity, we use it as an identity portal for all of our applications. In addition, the internal application for the tools is used for monitoring the product.
I've been using Google virtual machines, Google FUSE. It has many, many products across the entire cloud platform. GCP can be used for data storage and for virtual machine creation.
I work in a retail company. We have a physical data center where we use IBM servers. We want to get rid of them because every time we have a peak season, we have to add the infrastructure and then remove it when it is not the peak time. This process of adding the servers, taking notes, and bringing them down requires a lot of operational effort. There is a lot of manual intervention for adding the resources and configuring the servers, which is a lot of work for the company. That's why we are migrating all our applications. Google Cloud will help us in getting the additional assistance just by clicking a button. We basically want to automate instead of doing manual interventions. It is an organizational initiative to move to Google Cloud. At least five to ten teams are involved based on each application and around a hundred people are involved.
We use it for software social media analytics. That software can call social media like Facebook, Instagram, and news online media. We call them and put them in the container. And then we analyze the data and display it on the dashboard. We use the GCP to run our server production.
We primarily use the solution to assist our clients. One of our clients, for example, wanted their web application to be integrated.
It's a cloud-based solution, so it's always the latest version. We use it for identity management, monitor resources, and to monitor the cloud resources. The number of users are small, but the number of resources being managed is large. We plan to roll it out to about 30,000 people.
Our financial system is on Oracle-based, SaaS, hosted on the Oracle cloud. From different XML sources, we had to bring in high volumes of transactions into the financial system. Before we put all of the data into the product and financial system, we need the data to go through some data messaging, and create some rules and derive some values. There are five or six million records every day. Google has some very good tools on its platform. They have an App Engine and cluster-based programming so that you are able to achieve high performance.