Google Cloud Reviews & Product Details

The visibility and control it provides to restrict the cloud-hosted application access are excellent. This is much required to mitigate DDOS attacks as well.

As of now, nothing as we reply on Google research wing to periodically review and update the services.

Google Cloud Indentiy-Aware Proxy has solved the remote working employees during the pandemic to securely access the resources without worrying about any data breach.

Obviously, the price literally cannot be matched. But even if you compare features and functionality to "competitors" it's really comparable and even excels in many/most categories. Tremendous tool to work collaboratively with data engineering ti convey business context

Specifically, Data Studio does not handle array fields well. It also doesn't give you much insight into how the data is being loaded and ways to reduce the load times. Not much to dislike.

Looker studio solves problems at every stage of the business. First, we can quickly edit and iterate for clients and users. Second, we can quickly create working mock-ups and POVs for prospects and partners. Third, we can collaborate with data and engineering live.

Easy and smooth to use, very helpful, easy integration

Nothing so far i really like Google Cloud so far

Manage access to applications running in App Engine standard environment, App Engine flexible environment, Compute Engine, and GKE.

Google Identity & Access Management supports two factor authentication, easy role creation for services, user reporting and account reporting. I worked on AWS cloud, but role base authorization is a big task for an administrator; you need to create policy, and policy creation itself is a challenging task between different services.

Every service has pros & cons, but for now, I have not felt any dislike think that I can share.

Google IAM solve many compliance-related requirements for our environment like key rotation, role-based access to services and application and two-factor authentication to authorized users.

I can protect applications and virtual machines, can also be used with files, software, code in the cloud and on-premise. I can manage everything the way I want

I don't really find many disadvantages, only that they are very similar to their competitions, and also the prices of the cloud for wanting to recover data are high cost

solves my virtual machine manager, of the files that I want to save and manage in the cloud, it can also work related to the databases that the services of the applications or web pages need

The centralized access control and security features are unmatched. Great solution to protect you applications.

Nothing at the moment but looking forward to more features down the road.

By helping to keep apps secure with remote employees and the need for secure access management.

I like that I can pull reports very easily for adoption scores, account health scores and specific tailored exports (regarding product use). Scheduling reports to avoid being the middle man with multiple customers is also a huge plus in my eyes.

For me, Looker has been slightly unstable recently; lots of reports are taking ages to loads, filters aren't working properly and also my scheduled reports are disappearing when there is a change to the format of a report. Its very frustrating as I have to re-schedule all of my existing reports and have no doubt I have missed some for my customers. Additionally, it would be good if we could schedule a report for ANY time frame, not just daily, monthly, weekly.

Looked is very easy to use from a user standpoint. Filters are clear and allow you pull information that enables me to do my job on a day to day - particularly whilst pulling customer health scores.

The main thing I like about looker is how easy the tool is to use. I can pull up relevant reports and track easily my stats and the team's stats overall on any given day.

No dislikes of Looker so far. Sometimes the reports take a while to load up, however that could be my PC or internet connection, so I can't fault looker for that.

The main benefit from using looker is the time I am saving to pull data. Pulling data manually can be a very laborious task, however, Looker allows me to do this with minimal effort!

I like being able to auto-run and email me the monthly reports I need.

I don't like that I can't save SQL runner reports to a folder.

pulling in data from multiple platforms for reporting

It helps us to integrate single sign on and multifactor authentication. The best IDaas we have come across as of now. We can store private keys over here which is also a valuable feature.

Nothing much I can dislike as of now but few things can be improved at reporting side .Nd notification management side by priving option user to customize as per thier requiremmnt

It helps us to integrate single sign on with multifactor authentication. As we have multiple apps where we need this feature .

Google Data Studio makes getting started with customized analytics really easy. It also has an incredible amount of features and tools to offer for advanced use cases. I started by connecting Google Sheets data, transitioned into connecting supermetrics, and 7 years later I am still using Google Data Studio, now with big data from a Google Big Query warehouse. I love the fact that it utilizes an open canvas similar to Power Point or Slides. You can move charts, shapes, and images anywhere you want on the pixel level, and rearanged the order they display via send to back or front settings. There is a pretty decent community for support and lots of content to help users get started.

Some of the biggest challenges with Data Studio relate to user management/security, embedding options, and issue support. For a long time every user needed to have a gmail to invite them to view a dashboard via login, not sure if that has been improved yet. You can let any user view without logging in, but that is not always recommended due to security reasons. In terms of embedding you can only iframe dashboards. More sophisticated BI tools let you embed elements via API or Javascript. Iframing dashboards also makes drill downs and dashboard to dashboard navigation tricky/near impossible. There is also no ability to contact Google for support when bugs or outages happen. They point everyone to the Data Studio community. There is some ability to get in contact with Google if you have an enterprise level contract with Google Cloud, but the path for support is very ad hoc and not always fuitful.

Democratizing self-service no-code analytics. You do not need to be a data or analytics engineer to get started, and you can go very far based on how intuitive and striaghtforward the UI is.

Looker is a flexible tool since you can use LookML to create views and integrate them via models. It's nice to have this higher-level language to manipulate SQL easier. I like especially how easy it is to define relationships between views (one-to-one, one-to-many etc.).

Looker is a complete tool, but visualization is not its main strength. I think some visualizations could be easier to do: boxplots, distributions, Sankey diagrams. I also think some computations are not very straightforward to do depending on the underlying dataset, like the percentage of total. However, in some viz tools, like Tableau, it is straightforward to compute these metrics in different forms.

Looker helps answer questions when views are already modeled, and it helps make the company follow defined metrics. What I really like about Looker is that it is a governed environment. For example, data analysts define how a specific metric is calculated inside LookML code, making it easy for the company to follow the same metrics.

I like that it is very easy to share files of all types with people to facilitate sharing. I like the ability to share and work on documents simultaneously. I like that access to this tool is free.

I dislike that sometimes sharing is hampered if the recipient does not have a Google account. Even creating a link that can be viewed by anyone sometimes does not work.

Google Cloud has allowed me to easily share files with a vendor in the Philippines which has improved how we work together. Google Cloud is assisting me with easily storing and sharing documents with people I do volunteer work with.

It is using docker containers as steps enclosures, making it pretty universal and there is a broad selection of ready to use images

It is mostly good. No features I dislike

We use it to build docker containers based on Dockerfile

Ohh, so much to about GKE, the way it automates, auto heal, ease of Use, The User Interface

As of now dint see anything which is dislikable

We hosted e-commerce application with GKE, I loved it

Google cloud Deep Learning Containers provide flexibility for deploying your AI model on various platforms such as AI Platform,compute Engine, Kubernetes, google cloud Kubernetes, and Docker. It provide various advantages like Fast Prototyping, Performance Optimization and a Consistent Environment.

So far I did not find any downside. There are other cloud providers like AWS that provide the same service.

Google Cloud Deep Leaning Containers solves various problem of AI. It provide fast prototyping of AI model and consistent to various enivironment.

The course contents and the topic are very useful in real-time use cases.

There is nothing to dislike her. I always wanted you have this kind of container

Google cloud Deep learning containers solve easy to install and just plug and play with Deep learning models

Very intuitive debugger that helps in speed up debugging process a lot.

I found it hard to get started with, had to watch multiple Youtube videos to understand.

Deploying Machine Learning models on the cloud

By using cloud Armor we can block any IP to access any service. I have blocked all the IP except the white listed VPN IP to access my service. Found best service from GCP.

The cloud armor should it self act as GCP service, but it depends on backend service. It should only have its own configuration and doesn't depends on backend service.

In my case the GCP cloud Armor helped me to protect my monitoring apps dashboard. Which can only accessed by whitelisted IP. This protect our infra from all other requests.

Just like any other Google tool, Google Data Studio is a great, easy to use tool that will do exactly what I need it to. In my experience, this is the best free data tool available.

I can't complain too much given this is a free resource, but there are some restrictions. I can't do everything I need in Google Data Studio to provide all relevant data and insights to my clients.

Creating easy-to-access reporting dashboards for my clients to access metrics from their paid media campaigns. Google Data Studio helps save time by allowing the client to find exactly what they need at a click of the button.