Google Cloud is a suite of cloud computing services offered by Google, providing a range of hosting and computing options for web applications, data storage, and machine learning projects. It includes services such as Google Compute Engine, Google Cloud Storage, and Google Kubernetes Engine, supporting businesses and developers in building, deploying, and scaling applications across a globally distributed infrastructure.
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Segment |
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Deployment | Cloud / SaaS / Web-Based |
Support | 24/7 (Live rep), Chat, Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support |
Training | Documentation, Live Online, Videos, Webinars |
Languages | English, French, German, Indonesian, Spanish |
An amazing suite of tools that allows us to consolidate a lot of our operations and enable our team members to best access, view and utilise customer information.
Pricing for the solution may be out of range for some companies, though to be expected for Google and relevant to the quality received. Potentially complex for beginners and whilst consolidating knowledge.
Identifying features within image or video is incredibly useful. Helping it validate customer identity and mitigate fraud that can be prevalent in the industry is invaluable,
What I like most is the rules that only allow authenticated users to modify the database, this makes sure that no one else is allowed to modify the data that I've stored
Nothing as such, but I'd say I don't really like the UI it gives to us, or maybe if there was a mode developer friendly way to interact with it, something like a tool
In my opinion it's solving the need for a real time communication channel for small applications where it's notjreally feasible or needed, you can just use realtime database now
Compared to other GCP offerings for Compute, Cloud Run beats its offering and competitors. Cloud Run offers lots of flexible features such as scale to 0, supports any language or runtime, highly scalable, transparent pricing,lots of built-in domain and networking features, next-gen web features such as HTTP2, gRPC and more. App Engine is being deprecated for Cloud Run, and Cloud Functions Gen 2 is a wrapper around Cloud Run. Cloud Run makes running compute workloads easy on GCP
Lots of features are still not in "General Availability." Compared to App Engine / Cloud Functions Gen 1, Cloud Run takes more time to deploy More documentation, user case studies and examples needed
Cloud Run is the perfect solution for running compute workloads that are better than any of GCP's other alternatives regarding serverless, managed offerings. Run offers better pricing model than others as well.
Form my experience; Google Cloud Certificate Authority Provided me pay-as-you-go pricing model that is very beneficial; as per my need, it handles large-scale certificate management, and my website is a very high-traffic web. It can easily handle it.
Google Cloud Certificate Authority is not sapport third-party tools or platforms. For me, it is hard to used because Depended on the specific industry or region.
Google Cloud Certificate Authority Service (CAS) isn't easy to issuing or renewing certificates. By automating the provisioning and renewal processes, I And my organization can save time. CAS has to give access to other Third-Party tools or platforms.
SQL databases are complex beasts to setup. In cloud even more so as egress costs can be ruinous if not properly managed. Google Cloud SQL is a perfect fit for a low cost, medium traffic SQL database. While it's primarily significant for medium traffic instances, it can absolutely scale to unexpected spikes in demand. Its price point makes it a good fit for most SQL usecases. Its integrations with the Google cloud ecosystem is very useful and allows for easy transfer between various stages in a Data Pipeline
The documentation for Cloud SQL is sketchy at best. More than a few edge cases aren't fully recorded and often have to be found out with trial and error. Also the operations of Cloud SQL differ from standard SQL in unpredictable ways. Simialrly ORM support for Cloud SQL is hit or miss. No major Python ORM has support for Cloud SQL and you end up having to write the whole ORM setup with the SDK
Cloud SQL allowed us to have an easy to use DB option which is not quite one size fits all but goes a long way in a lot of application usecases. Onboarding new team members is a breeze as they can quickly go through the basics in a day or so and start being productive to the company. It also helps build trust towards our clients as they can rely on a Google Assured product for their application database
I'm super happy with this tool. The accuracy is top notch and it is very simple to use. You can easily use this free of cost life saving tool to convert text into speach
No dislikes, i just love how this tool have make my work so easy and saved me alot of time
Helped me in creating good presentations and making reports. It is super time saving and simple to use
Google Cloud Run offers serverless container execution, allowing developers to deploy and scale applications effortlessly. Moreover, it eliminates the need for infrastructure management, autoscales to handle traffic spikes, and charges only for the actual usage, optimizing costs.
Google Cloud Run has a few limitations like the cold start latency can be high, resulting in slower initial response times. Additionally, the maximum request timeout is limited to 15 minutes, which may be insufficient for certain long-running tasks. Also, there is lack of direct access to underlying infrastructure may limit customization options for advanced configurations.
Google Cloud Run simplifies deployment, enables scalability, optimizes costs, integrates with Google Cloud services, and promotes agile development. It benefitted me to perform streamlined operations, faster time-to-value, and a widely adopted platform that allows them to focus on data analysis and insights.
While working on a company project I need to store memory. I used the Google Memory Store. It is very flexible and efficient in-memory storage. The best thing about it it sorts the data in key value pairs. Memory storage performance is very good. Used for large small and medium size businesses.
I did find anything bad in this. All good am happy.
When i was working on a project i need a system which is more helpful and efficient in terms of storage. Google Cloud memory storage solves my problem by providing low latency. Auto scaling feature I like the most.
Google Cloud Certificate Authority Service excels in providing top-level security measures. With industry-leading encryption protocols and stringent controls, the service ensures the confidentiality and integrity of certificates. Users can trust that their certificates are protected in a highly secure environment. Google Cloud provides excellent support for the Certificate Authority Service. Users can rely on the expertise of the support team to assist with any queries or issues promptly. The responsive and knowledgeable support ensures a smooth experience and minimizes disruptions in certificate management.
The service is primarily designed to integrate seamlessly with the Google Cloud ecosystem. While it offers compatibility with various platforms and environments, it may not provide the same level of integration and ease of use outside of the Google Cloud environment. Depending on the scale and requirements of your organization, the cost associated with using the Google Cloud Certificate Authority Service can be a disadvantage. Pricing structures, including charges for certificate issuance, renewal, and management, may be a factor to consider, especially for organizations with a large number of certificates.
I recently had the opportunity to explore and utilize the Google Cloud Certificate Authority Service, and I must say that it has left a lasting impression on me. The service's seamless integration and robust security features have truly elevated my experience. As a user, I felt confident knowing that my certificate management was in capable hands. One aspect that stood out to me was the user-friendly interface. The service provided an intuitive dashboard, making it easy to navigate and manage certificates effortlessly. Whether it was issuing, renewing, or revoking certificates, the process was streamlined and hassle-free. Security is of paramount importance when it comes to certificate management, and Google Cloud Certificate Authority Service did not disappoint. The service offers stringent controls and industry-leading encryption protocols, ensuring the confidentiality and integrity of the certificates. The peace of mind I experienced knowing that my certificates were in a secure environment was invaluable. Furthermore, the scalability of the service deserves commendation. Whether you have a small business or an enterprise-level organization, the Google Cloud Certificate Authority Service caters to your needs. The ability to scale up or down seamlessly and manage multiple certificates efficiently is a testament to the service's flexibility. Another aspect worth mentioning is the exceptional support provided by the Google Cloud team. Whenever I had a query or encountered a challenge, their responsive and knowledgeable support staff were readily available to assist. Their expertise and prompt responses were instrumental in resolving any issues promptly, ensuring a smooth experience throughout.
Market value is hight. Currently most of the organisation is using it and easy to understand.
A bit costly compare to other options available in the market
Helping in improving the knowledge and worth of the employees work in the organisation and make them suitable candidates for the projects.
Subject alternative names, certificates manager, available certificates in all forms like pki, certs
Nothing to dislike. User have to subscribe Google cloud project to get this service.
I have used certificate with Google Kubernetes Engine-GKE service to enable ssl and tls certificate
Google Cloud Speech-to-Text is a game-changer when it comes to converting speech into text. What stands out the most about Google Cloud Speech-to-Text is its unparalleled accuracy. The versatility of this API is also commendable. Google's commitment to privacy and data security is another noteworthy aspect. Furthermore, the scalability and reliability of Google Cloud Speech-to-Text are unparalleled. Whether you're dealing with a few minutes of audio or massive volumes, the API effortlessly handles the workload, delivering results promptly without compromising quality. This scalability makes it an invaluable tool for businesses of all sizes.
Accuracy with Specific Jargon and Contexts, While the accuracy of Google Cloud Speech-to-Text is generally commendable, it may occasionally struggle with highly specialized terminology, domain-specific jargon, or complex contexts.
By addressing transcription challenges effectively, Google Cloud Speech-to-Text brings numerous benefits to users. It saves time, ensures accuracy, offers scalability, reduces costs, supports various audio formats, and empowers developers to enhance their applications. These advantages make it a valuable tool for businesses, content creators, researchers, and anyone seeking efficient and reliable transcription services.
The features that it provides from standard clusters and auto-pilot cluster where the person need not to worry much about vertical or horizontal scaling as it can be managed by the cluster itself.
The ability to setup an ingress with http2 support and provide assitance to setup service mesh from the UI itself.
The problem to making kuberentes easy to use and also cost-efficient.
Things I love about Google Cloud Vision Api: 1) Powerful image analysis 2) Accuracy and reliability 4) Scalability and speed 5) Text recognition and translation 6) Integration with other Google Cloud services 7) Pre-trained models and customization 8) Developer-friendly documentation and support
There is nothing that I dislike about google cloud vision api. Maybe google can release models for specific industries too so that it gets even easier for us to use.
Helping me automatically differentiate defective pieces from non-defective pieces.
It is a potent visualization tool that is relatively easy to learn and master. It adds tremendous value to utilizing and leveraging data both for analysis, visualization and presentation
I don't like some minor features like merging two explores, or editing a tile in an existing dashboard, but all are considered minor issues compared to the features I like about the product.
Data analysis (slicing, segmenting, queries..etc) and reporting accuracy and visualization.
We love how IAP eliminates the need for a VPN and is widely used in many of our internal tools and apps. It also has an excellent reputation since Google uses IAP instead of VPNs which can be a bit cumbersome.
Setting up IAP takes time, and automating it takes even longer (granted that setting up a VPN would take longer). IAP requires a lot of additional components and needs more configurations when setting it up across multiple solutions
IAP eliminates the needs of a VPN solution which can be expensive and difficult to setup and manager. IAP eliminates that and is a very seamless solution once its properly configured
Its very easy to understand and easy to use. I recently migrated from cognito to gcp identify platform, and the migration was easy.
Can have some more social platform login integrations.
I am using it in our product for identity management
Easy to build and manage the cluster and it offers autoscaling feature which other cloud providers like AWS and Azure not able to provide and comparatively support more number of nodes
They are having few data centres and building new data centres continuously, so there could be data restriction for few countries/Services but beleive over the years they can improve
When there are more requests for the cluster, based on our configuration it will automatically scale the number of cluster to match number of requests It's cheap and best compared to other competitors in market
MySQL database is best as its the same we need for relational data with high scalability, security as well as user-friendly and features we required. and time for getting started was less than 7 minutes, and we were good to go within that time.
There is nothing as such that we disliked but it would be great if there were tools in User Interface that carries the queries and help with the visualisation part and this would have taken it to the next level.
We required a relational database for our project, and Google Cloud SQL offered us almost everything that we were looking for, helping us to get a SQL database for our applications.
Compressive support for programming language and ease of deployment, along with being charged for the duration of running the machine worked very well and helped us to save money without compromising on performace part.
Getting started with Google Cloud was very difficult as most of the cards we own were not accepted, because of which we were unable to use Google Cloud Applications and servicies in the beginning this is what we disliked rest everything worked well for us and the services are excellent.
Google Cloud Run helped us to get weekly tasks and occasional tasks done without worrying for upfront Virtual Machine and go serverless without worrying for configuration, helping to save a lot of money.