Google Cloud Reviews & Product Details

Benefit from DDoS protection and WAF at Google scale

A bit of a learning curve - I find AWS documentation to be better at explaining the basic details

Better documentation, better support

Easy to create the reporting dashboard Esay to integrate the free sources Easy to share the dashboard with client

Few integration are of third party where I feel it is not secured as my data is important.

Reporting Data analysis Creating the strategy based on it

Very easy to use with great scalability and extremely fast performance.

I did not found any dislike or cons till now.

Greatest solution for developing apps

Data studio is just amazing tool. With the help of this tool I can easily create reports in a great graphical format. We can even customised dashboard as per our requirement. Can easily implement analytics with data studio

Nothing to dislike about this tool as it made my report generation very easily

We can create custom report with the help of data studio. Data visualisation can be done easily. Free templates are also available and can easily share report with others

Variety of Charts and the various connectors that are compatible with the platforms. I use supermetrics connectors for data studio to pull data from various ad platforms.

It gets difficult to train colleagues who are not aware of what the platform has in terms of horizons. It would be great if there could be a beginner's guide. If there already is, it should be made easily available.

Ease of reporting Tracking targets versus actual metrics met Quick overview for all my platforms and campaigns I can customise my page view if i click on one particular metric.

Implementation of deep learning framework with the capability of Kubernetes(pre-defined images/templates, which are to-go for developers). This is such an amazing thing.

I think it won't be having any issues. Still, I am exploring, and if I come up with anything, will update here.

Working on audio detection systems where we need to get valuable insights from speech.

We enjoy our Google experience, as it is always up-to-date and changing with the growing times of technology. We find it helpful and efficient!

This is not applicable, as we have been happy thus far!

We use this on our day-to-day tasks and realized the benefit of using Google Cloud Run over other available products. Google Cloud Run is reliable, and we recommend it.

Google Data Studio is an incredibly flexible platform that can be relatively easily customizerd to fit your needs and deliver accurate, automated, real-time reporting to your clients.

The platform can be incredibly slow on reports with some more advanced complexity. It can be quick to get to this point sometimes. And setting up your first report (before you use it as a template for future reports) can be very time intensive to get it right and do it from scratch. The built-in templates can help a bit here sometimes.

Delivering real-time, fully automated reporting to clients. We've decreased reporting time by over 90% and are able to deliver more advanced reporting at the same time.

I'm able to see customer data in realtime. I can get reports delivered to me on a specified schedule.

It can be a bit difficult to use for specific reports.

We have a data base of customers and want to know more details about the customer: when they signed up, who they invited, what features are they using, etc. Looker can provide a lot of data in a single report.

The best part is the ability to fuse many plugins.

Missing API Plugins (at least that's what I think)

Amalgamating various database connections and fetching data

Pricing and seamless integration with other services

Lack of pull request support for using google csr

Its easy to use and remotely we can use with our local git

It's a good source of windows CI/CD components and is readily available as and when required.

There is nothing to dislike. I didn't feel any issue using this platform.

I use it for the storage of data files for the share market software development.

GKE just makes things easy to do. While Kubernetes is great on its own, GKE completely eliminates all the infrastructure concerns and management of master nodes. We used to run our own clusters on physical hardware but after switching to GKE there is no way we would ever consider going back.

The autopilot feature would be more useful if it could scale down below 0.25 CPUs. Also, trying to align committed use discounts with node types is challenging. I wish you could commit to CPU and RAM without worrying about how they ended up in VMs.

It provides a complete kubernetes infrastructure as a service which frees our time to focus on application and deployment operations rather than infrastructure. We have seen improved reliability and resiliance for our K8s deployments along with a significant reduction in strange failures or performance issues. GKE just works.

The best part of google cloud source repositories is their online ui and dashboard. I can see what is important to me at a single glance rather than having to look for it.

There's very little to dislike about this service.

With google cloud source repositories I am able to keep all my code in one place and know that it is secure.

I like that it's easy to use, and holds all of my repositories in one place. Definitely the best git manager out there!

Nothing! So far I have yet to find anything I dislike about it

Organizational problems! It helps my team stay organized

Data is a powerful tool, but without the right software to process it, it's not useful at all. Data Studio has allowed me to process big chunks of information and develop reports for clients that are easy to read.

Whenever you have large amounts of data, loading the website can be a bit slow. This is not an issue that bothers me too much but it needs to be taken into consideration.

Creating reports for clients, analyzing big chunks of data from other platforms like amazon campaign manager, pulling data from other sources and present it on an easier way.

The versatility to be able to model out an instance and the customizability that Looker provides.

Some people who are not necessarily builders and want a turnkey solution might need time to get a Looker instance operational.

Looker helps solve the problem of providing reporting, visualization, and ad hoc analysis.

It works exactly like you'd expect it to. It uses git, and is easily operated through the cloud sdk cli. You can push/pull/update code just like you'd do through GitHub and just as easily create branches and manage project versioning.

It has a bit of a lag when syncing between any code changes and logging the changes in the cloud source repository interface with who updated/changed what. I had to wait a bit and refresh between each new push to see it logged on the screen.

It is a really nice versioning and development management tool that works seamlessly with the cloud sdk cli for any programming projects on Google Cloud. It makes group code development on gcp easier and more organized for collaboration.

The integration system is just incredible. Our google business solutions fit fantastic with source repository

Integration with solutions outside the google ecosystem could be a little bit difficult. At least in our experience, it was too expensive.

The collaboration problem in our team is solved with this solution, plus tracking code and a lot more of functions it is a real win

I love the capability to pull together so many different charts and graphics within minutes. The platform makes it so easy for those who are not familiar w/ more complex platforms such as SQL. Love it!

I wish it could auto update a linked sheet in Google sheets or Excel. currently I have to copy and paste every time I want it update. Would be great if this could be automated!

Understanding our revenue throughout time, across customer segments, products, and also for other KPIs such as traffic, conversion, etc. This has helped me use data.