Google Cloud Platform Cloud Identity-Aware Proxy Reviews

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 only use what we need to put in the application to create a server. We do not need to maintain the hardware. 

I think this product needs to shift the focus from our software, our solution, like social media analytics to our customers; not maintenance in the hardware. We focus on our business for the maintenance and infrastructure to develop the software. 

I have been using this solution for two years. 

We use it to up the server like the compute engine. For the compute engine, we just put the CPU with what I need, and then storage capacity what I need, and then just click, and it runs. We don't use it yet to have integration with other platforms or systems. 

We don't get any bugs in the software.

We do have plans to increase usage when our client base increases, we will increase the capacity, like the storage and the compute. Maybe in a year or two. 

We used to contact support to handle our problems at the beginning of our implementation. We're not so experienced with the system so we need their guidance. We are satisfied with the support. We have to pay to use technical support. There are a lot of charges. We open the ticket and then have to pay for it. It shouldn't be like that. We use the infrastructure and then we pay. We just input them for the system, we do not have to pay again.

The setup is of medium complexity. It is not too difficult, it is medium level to operate GCP.

It took only two days to set up the server. The server itself took three hours. Three hours to set up the server and then the deployment. We built the system over a long time. But to deploy we set the infrastructure like the server, firewall, in the GCP. It took five hours to deploy.

We deployed it ourselves.  

I would recommend GCP. We will focus to develop our system, our product, and it's a matter of whether or not the infrastructure can handle GCP.

I would rate it an eight out of ten. 

In the next release, I would like to see a machine learning system. 

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.

There is a certain accessibility feature that I can set using a cloud identity, which is really valuable to us.

I think that the documentation could be a bit better in terms of what is presented on the screen versus what actually happens. There's a little bit of confusion under your resource discovery you get in a search bar having to do with the level of complexity of the product design. But I think the documentation could be better.

We have been using Google Cloud Platform Cloud Identity-Aware Proxy for about a year.

It is very stable.

It scales well, in fact, it's quite relevant. We've not put it to an extreme level of scale, but we use it at a medium level of scalability. It's working well.

Google's technical support is really good. In fact, I've only been in touch through email and they've been really responsive. In fact, most of our responses happen in minutes.

The setup is straightforward. I don't think it's a function of how long it takes to set up. it's a continuous deployment. At the time it was a new resource that has to be reconfigured. The initial set up was a few days, but after that its incremental changes that we do.

We've evaluated Microsoft.

I would rate Google Cloud Platform Cloud Identity-Aware Proxy at an eight out of ten.

We primarily use the solution to assist our clients. One of our clients, for example, wanted their web application to be integrated.

The ability to measure access using the solution is quite helpful. It's very helpful, in particular, for clients.

The app provides ready-made services that we can talk to without issue.

We are looking for a more robust solution that allows seamless integration.

The initial setup was quite complex.

The solution needs some features. There a lot of new requirements, like seamless integration and real-time batch updates, that we would want that should be added in future releases.

We've only used the solution for a very short time. It's only been a few months.

The app is reliable. It's very stable. We haven't had issues with things like bugs or glitches. It hasn't crashed. It's been good.

The solution is quite scalable, as it is on the cloud. It is easy for a company to ramp up as needed.

We've never had to contact technical support. Everything we've needed in terms of answering queries or finding assistance is available online.

The initial setup is not straightforward. It was complex. We are expecting it to be more seamless.

The coding turned out to be quite difficult. We had to put the legacy EPAs in place. The access was hard to deal with. Networking restrictions, etc. were also causing us problems. There was a combination of implementation issues our organization had to deal with.

In the end, deployment took three weeks. 

We had our own team at our company that was able to deploy and maintain the solution.

We were a Google partner in the past, but we aren't anymore.

I would recommend the solution. I'd rate it seven out of ten overall. If the solution offered more features, we would rank it higher.

We use the solution for clustering data. You can share the link with the current person or can provide access to someone else.

The solution is easy to use.

There should be more optimization options.

I have been using Google Cloud from my university. We are using the latest version of the solution.

I rate the solution’s stability a nine out of ten.

Seventy users are using this solution. We have plans to increase the usage depending on the upcoming projects.

The initial setup is straightforward.

The deployment was done in-house.

The solution has an on-time cost.

Around two to four persons with knowledge and professional skills are required for maintenance.

I recommend the solution.

Overall, I rate the solution a ten out of ten.

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.

For me, the most valuable feature is JKS and Kubernetes Cluster on managed service. Moreover, the latest versions of the managed Kubernetes clusters are good. 

There is room for improvement. For instance, we encountered some issues with a potential cluster on GCP last month. Although we use GCP for all our resources, we experienced some difficulties. So, I think this aspect needs to be addressed and improved upon. And from what I can tell, GCP is working on addressing this issue.

I have been using this solution for two years. 

I would rate the stability a seven out of ten. 

I would rate the scalability of the solution an eight out of ten. 

We used global IT for the support. 

Overall, I would rate the solution an eight out of ten. 

 I'm working with GCP, managing approximately 15 GCP clusters on Kubernetes. I have strong experience with Google Cloud and am a solution architect on AWS.