Google Cloud Reviews & Product Details

Relatively simple to install application that keeps mainly bot SPAM at bay for web based forms. No website today can afford not to use some form of SPAM control.

It may work right out of the box, but there are options to finetune the recognition threshold. It may take an advanced understanding of this technology to make manual adjustments.

Alleviates the majority of bot SPAM in web forms.

Easy and Fast implementation of deep learning project on google cloud. It comes with pre-installed required softwares like PyTorch, Scikit-learn, Tensorflow and many more.

Nothing to dislike about Google cloud deep learning vm image.

Created deep learning project with the help of google cloud vm image without worrying about initial setup.

It is a very easy-to-use application. It is built by using cutting edge technologies.

Application has to consider new features based on the new security threats.

To install the third-party applications for different types of threats

The Google Cloud Deep Learning is really a market game changer product in deep learning. Its really very easy to use and has good performance an security. It is cost efficient.

There is nothing that can be disliked. Google Cloud Deep Learning VM Image is awesome.

It has benefited me in the documentation. It has preconfigured environments that saved my time. I can easily scale up and down as per my requirements. Easy for team collaboration. Overall it has saved my time a lot.

1. Managed Kubernetes: GKE abstracts the underlying infrastructure, making it easier to deploy and manage Kubernetes clusters. Google takes care of cluster provisioning, upgrades, scaling, and node management, reducing operational overhead. 2. Reliability and Scalability: Google Cloud's infrastructure and expertise in managing large-scale container workloads ensure high availability and scalability. GKE clusters can be easily scaled up or down based on demand. 3. Integration with Google Cloud Services: GKE seamlessly integrates with other Google Cloud services, including Cloud Storage, BigQuery, and Stackdriver, making it a powerful choice for building cloud-native applications. 4. Security: GKE offers built-in security features, including node auto-upgrades for security patches, Identity and Access Management (IAM) for fine-grained access control, and integration with Google Cloud Security Command Center. 5. Multi-Cluster Management: GKE allows you to manage multiple clusters from a single control plane, which is beneficial when deploying applications across multiple regions or environments. 6. Networking and Load Balancing: GKE offers advanced networking features like Google Cloud's global load balancers, which distribute traffic across clusters and regions. It also supports VPC peering, network policies, and private clusters for enhanced network security. 7. Auto Scaling: GKE provides horizontal and vertical autoscaling to ensure that your applications can efficiently handle varying workloads. This helps in cost optimization and resource utilization. 8. Monitoring and Logging: GKE integrates with Google Cloud's monitoring and logging services (formerly known as Stackdriver) for real-time visibility into your containerized applications, helping you diagnose and resolve issues quickly. 9. Continuous Integration and Deployment (CI/CD): GKE can be easily integrated with popular CI/CD tools like Jenkins, GitLab CI/CD, and Google Cloud Build, allowing you to automate the deployment and management of containerized applications. 10. Community and Support: GKE benefits from the larger Kubernetes community and has extensive documentation and resources available. Google Cloud also offers various support options, including a free tier and premium support plans. 11. Cost Management: Google Cloud provides tools for monitoring and managing your GKE spending, helping you optimize costs. 12. Kubernetes Version Compatibility: GKE typically supports the latest Kubernetes versions, ensuring you can leverage the latest features and security updates.

nothing can describe about Google Kubernetes Engine dislike from my side

Complexity of Kubernetes Management: Solution: GKE abstracts the complexity of managing Kubernetes clusters, including tasks like cluster provisioning, node management, and upgrades. Benefits: This simplifies Kubernetes operations, reduces the learning curve, and allows teams to focus on application development rather than infrastructure management. Scalability Challenges: Solution: GKE provides automated scaling capabilities, both horizontal and vertical, to handle varying workloads. Benefits: This ensures that your applications can seamlessly scale to accommodate increased traffic, improving performance and cost efficiency. Reliability and High Availability: Solution: GKE leverages Google Cloud's infrastructure expertise to provide high availability and reliability. Benefits: Your applications are less prone to downtime, ensuring a consistent user experience. GKE's automated node upgrades also help in maintaining security and reliability. Integration with Google Cloud Services: Solution: GKE seamlessly integrates with various Google Cloud services, enhancing your application's capabilities and allowing for streamlined data and service interactions. Benefits: You can leverage a wide range of cloud services, such as databases, storage, machine learning, and data analytics, to build more powerful and feature-rich applications. Security Concerns: Solution: GKE offers built-in security features, including node auto-upgrades for security patches and IAM for access control. Benefits: You can trust that your applications are running in a secure environment, reducing the risk of security vulnerabilities and breaches. Networking Challenges: Solution: GKE provides advanced networking features, such as global load balancers, VPC peering, and private clusters. Benefits: Your applications can be easily distributed across regions, and you can ensure network security and isolation, leading to a more efficient and secure network infrastructure. Monitoring and Troubleshooting: Solution: GKE integrates with Google Cloud's monitoring and logging services for real-time visibility into containerized applications. Benefits: You can quickly diagnose and resolve issues, leading to improved application performance and reliability. Continuous Integration and Deployment (CI/CD): Solution: GKE can be seamlessly integrated with CI/CD tools, enabling automated application deployment. Benefits: You can streamline the development and deployment process, reduce manual intervention, and accelerate the delivery of new features and updates. Community and Support: Solution: GKE is part of the Kubernetes ecosystem with a strong community, and Google Cloud offers various support options. Benefits: You have access to extensive resources, a supportive community, and multiple support plans, which can help you resolve issues and make the most of the platform.

It is very scalable tool that meets complex security needs, it's performance is very good even with the large dataset, it's interface is really user friendly.

It can be costly for some people or organisations, It's configuration and setup is complexand it requires more time to learn this with compare to other tools

It protects against the modern day security threats, it enables security teams to detect, investigate and respond to threats within large and complex environments

Ease to setup, in comparison to aws google cloud its giving all the features in a small and simple package. Aside from GKE that you need to implement in another tab. Everything is easy

You need to enable and configure Autopilot and Gke also

Cost in multiple serverless solutions

The best thing about Google cloud text to speech is that it has a trial period for users which is not there in Readspeaker . This app helps people who are visually impaired or have any other disabilities related to seeing characters listen to the words on paper.

Nothing to dislike about this app . Previously there was a conflict with background noise but now it's solved.

It helps visually impaired and people with disabilities listen to text and helps them cope up with the world regardless of their disabilities at a very cheap subscription price

With support for MySQL, MSSQL, and Postgres, Google Cloud SQL grants a familiar interface to easily stand up managed database instances that have smooth interoperability with other Google Cloud offerings, such as GKE and Cloud Run. The ability to easily implement maintenence and upgrade timeframes, restrict access at both the database level and with many IAM roles/scopes, and the powerful insights into query performance with Query Insights are the top drivers for our utilization of Google Cloud SQL.

While establishing private service connection/VPC peering may be a hurdle to newcomers, once you are familiar with the model it is incredibly straightforward to manage. The procedure to deploy a highly available instance is a bit clunky still.

Reducing operator time on managing relational databases for our applications and microservices, and providing a pathway to highly-available, geo-redundant storage at a far lower cost and upfront implementation cost of alternative DBaaS offerings (e.g. Google Cloud Spanner).

It's functional abilities are extremely advance. It's really help a user to keep save its data

Its absolutely no way to breachesnthe security protocols it have so they need to adds up biometric solution to make this easier, thought I use it almost every day, Implementation it almost in most of my work. It's ease of use is too user friendly, customer support team is also well trained and communicative. Ease of intigration is well written, got well maintained security features,

Too advance. I don't think any regular basis tech user may use it to a lowest genaratiin device as its really advance

Great experience as we were able to access computer resources housed in google data. Also hosting websites and applications to performing data analysis, machine learning

Pricing, docuementation, transition challenges .. etc are the few challenges in google cloud

Secutiry level solving capabilites,minimizing downtimeof websites

Easily integrated with other Google cloud services. Easy to use.

There is a room for improvement in error and logging.

Automated the devops lifecycle by using Google cloud build

The conversion of texts to a very soothing audio speeches. This is easy to use and the output generated is of high quality.

A slight lag while the conversion is in progress.

My daily articles in texts can easily be converted to audio speeches which I can hear on the go.

Love how your able to switch between languages to interpret. Love how your able to speak and it turns into a text format! Great for notes and college taking

Nothing I love it very much and wouldn't change anything about it

Sometimes it's slow and lags but that could be the connection of service

User Interface is awesome Accurate Result Easy to use Great Number of features Easy to use with other techs

Nice Product Does not have any backdrops

It help me to convert the text into humar understandable speech.

Google cloud to speech is mostly helping to translate any local language's. As i m using one of the features of audio to any local language translation is amazing. Personally I'm using to translate my native language its Helping me to understand that what I'm reading.

Nothing as far as of now. I like this AI tool to translate any language and understand the document that I'm reading.the set up of language is very easy. so we can use this tool for Anytime & anywhere.

Google cloud text to speech helping me to everything in my local language. And also it has translating veru accurately.as I m working service engineer it helps me to write a report in quick time.

Google cloud have lots of services which cater end to end requirements of web & mobile application development. From development to data/files storage, from bigquery to analytics, from SEO optimization to CDN. You can easily connect all of the services provided google cloud without any hassle.

Nothing in particular, but when i was using remote config feature of google cloud, i found that there is no deployment strategy available in it like Amazon app config, i think google cloud is lacking there.

For our mobile application we are using google cloud stack, which includes, firebase functions and firestore. It provides a simple command line tool to deploy firebase functions and its amazing firestore database which actively supports pub/sub, we can sync our users by updating firestore data as it auto push data to all the users when data in firestore got updated. This solves our major issue of writting our own services for managing pub/sub. Our app do lots of database reads and very few writes which saves a lots of money with Google cloud as it charge more for writting and reading data is free.

Cloud virtualization, cluster connections, data centre cloud integration

File and network isolations as of now..

Managing Container and admin access.

The accuracy of conversation is really good and appreciable. Easy to implement and good customer support.

Nothing to dislike but yes... There is always a scope of improvement.

Accuracy issue that occurs in other products is solved by this.

Google Cloud Text to Speech, as name suggests converts texts to audio. It has 200 plus voices and 40 plus languages in it. One of the best tool to use on a daily basis.

Nothing I can list here which I disliked about google text to speech till date.

Google text to speech just reads out the text data in the required langugage and voice. Instead of us reading an article, we can make google read it.