Google Cloud Reviews & Product Details

One notable aspect of Google Cloud's Anthos that I appreciate is its seamless integration across on-premises and multi-cloud environments. Anthos simplifies the deployment and management of applications, providing a consistent experience regardless of where the workload is hosted. The platform's support for modern containerized development, coupled with robust security features and easy integration with other Google Cloud services, makes it an attractive choice for organizations seeking flexibility and scalability in their hybrid cloud strategy.

learning curve associated with adopting new technologies and the complexity of implementation. Additionally, organizations transitioning to hybrid cloud solutions may face adjustments in their existing workflows. It's crucial to carefully assess specific use cases and requirements to determine how well Anthos aligns with the unique needs of each organization

Google Hybrid Cloud, particularly through services like Anthos, is helping me address several critical challenges. Firstly, it's streamlining the management of my applications by providing a consistent platform across on-premises and multiple cloud environments. This not only simplifies deployment but also improves operational efficiency.

Google Cloud Memorystore's seamless integration with Redis stands out. It offers hassle-free, fully managed caching with low-latency access and automatic scaling. Google Cloud Memorystore is a go-to solution for caching needs, especially in scenarios where low-latency access and automatic scaling are crucial. The user-friendly interface and straightforward pricing make it easy to deploy and cost-effective. Google Cloud's support is generally reliable, but occasional response times may vary. Documentation is comprehensive for self-help.

One limitation is the lack of support for caching solutions other than Redis. Additionally, more detailed monitoring and alerting features would enhance the overall experience for proactive management.

Google Cloud Memorystore simplifies caching infrastructure, providing low-latency access, automatic scaling, and managed security. It solves the challenges of complex setup, ensuring optimal performance and cost-effective caching. As a cloud engineer, this allows me to focus on development while benefiting from a resilient and efficient system.

Integration and Compatibility: Users appreciated its seamless integration with other Google Cloud services and CI/CD pipelines. It was noted for its compatibility with popular build tools and package managers. Reliability and Performance: Many users praised Artifact Registry for its reliability, stability, and the performance it offered when storing and retrieving artifacts. The service was recognized for its speed and low-latency access. Security and Access Control: Security features, including fine-grained access control and integration with Google Cloud IAM (Identity and Access Management), were seen as robust and crucial for enterprise-level use.

Nothing form our devops getting erros from this as a pipeling process

Still now we didint get ant error

I really like the concept of not relying entirely just on a single public cloud and approaching towards more hybrid cloud solutions which enables me to move and manage my data between various cloud environments. It helps me create my custom setups based on my business needs which is great and gets me to use if more and more frequently.

combiing all the public and other cloud services in one makes the environment a bit complex but that does make sense. The main issue i think could be that, when all the cloud platforms are easily managed and available at one place it does increase the productivity but also increase the high risk of being attcked by a third party and if successfull one can get access to every cloud service in just one go.

it really helps with the storage issue in this era where data is becoming more and more bigger to store and as a google product i trust and keep all my important information and data personally.

- Easy to use and integrate with GCP ecosystem - Being serverless arcjitecture scales automatically based on demand. - Faciliates the automatic deployment process, developer needs to configure it once and entire deployment processs is automated.

I have limited support for third party like Gitlab and Azure DevOps

We have utilised Google Cloud Build to automatically build the image and deploys it . Completely eliminating the human intervention in normal scenario.

We don't need to worry about infra and database servers configuration. Just create a instance and deploy a database.

Nothing negative about Google Cloud spanner database.

Scaling is very fast so you will get high performance. Also backend running on Google Cloud infrastructure which very secure and reliable.

Ease of use Ease of implementation Documentation

Total cost of ownership No other dislikes

Scalability of container based services

Inside google cloud services this is one of the easy ones. Its easy to migrate an existing project be that sql, MySQL or Postgress

Didnt knewt it sooner. It would have helped it with so many mid to heavy data projects

Data service for mobile apps and for custom apps. Reliable and fast

Best thing about Google artifact registry is it can easily integrated with other google services like cloud etc. It's very easy to use for image creation.

It is not able to handle all type of the packegas that create problem at developer end.

Google artifact registry is all one solution to store data. It makes data managmenet work easy and increases efficiency of organization. It also provide safe and secure platform for all data.

Google Cloud Build provides deployment features with automations. Pipeline creation and integration is very easy with google cloud build. It provides comprehensive documention.

Google cloud build has limited facility for customization.

Created automated devops lifecycle with Google cloud build. Once the code is committed, it will be built, deploy and tested automatically with gcp workflow.

The best likely about GKE which is very useful for me is it provides a simple and user-friendly interface and the best thing is documentation is really very good and comprehensive easy to understand and easy to integrate with others.

Personally, I didn't see any dislike for GKE. GKE is a very very useful and powerful orchestration platform.

The problem GKE solved for me is instead of creating the infrastructure manually GKE automates the orchestration of containers which makes my task easier to deploy and manage the application, GKE benefits me in terms of cost and it is not expensive and provides really very good security.

The best part about Google Artifact Registry is that it's fully managed by GCD, making it easier for developers to build and deploy apps. Plus, it integrates with other Google Cloud services very easily.

I'm happy using it because of the personality, but it may be hard for beginners since the documentation is a little hard to understand.

Google Artifact Registry has simplified things for me by automating artifact management, freeing us up to focus on critical tasks.

GKE for its ease of use, automatic scaling, and robust integration with other Google Cloud services. It provides a managed Kubernetes environment, which simplifies cluster management and allows users to focus on their applications. GKE also offers features like automatic node upgrades, monitoring, and auto-repair, making it a popular choice for container orchestration.

There can be best UI to use GKE but other than that there is no bad thing about GKE

GKE for its ease of use, automatic scaling, and robust integration with other Google Cloud services. It provides a managed Kubernetes environment, which simplifies cluster management and allows users to focus on their applications. GKE also offers features like automatic node upgrades, monitoring, and auto-repair, making it a popular choice for container orchestration.

Seamless integration with google cloud. Reliable storage for images

Its cost is high when compared with other competitive solutions

Secure and reliable storage for the container image. Great tool for versioning control

The most like about Google Artifact Registry is its fully managed service and the best thing is it frees up the developers to focus on building and deploying applications also it is very easy to integrate with other google cloud services.

I personally didn't see any dislike except for one thing that is a little bit complex and configured properly at very first time once completed then it is very east to do.

The problem solved for me and my team is instead of managing manually artifacts it helps to automate the management of artifacts, so the team can focus on important tasks. The most important problem it solved is it provided secure way to share artifacts with other.

Ease of Use and implementation. Through their High availability disk feature I don't even have to configure replication for disaster recovery.

Their instances don't integrate with a OpenVPN. I had to configure the Cloud SQL Proxy feature for each user.

I don't need to worry about a server instance and its resources. This layer it's abstracted by Google Cloud SQL. It also grows dynamically which saves a lot of time previously invested in file system resizing

Looker studio allows various datavisualization optiosn like charts and graphs where we can customize the data as per we need, theuser-friendly interface makes the tool one of the best tool in market.

For few customization steps it might be difficult for new comers , due to which they might have to go through some basic knowledge of the same

Looker studio helps in improvising how data is presented as per required, it helps in showcasing/presenting the data as well as maintaining, collecting data to manupulate or use them when they are needed.

Fully Managed Services, Scalability and Integration with GCL are some best thing about Google Cloud SQL

The cost for storage is good if it's less than 10 TB storage otherwise it is not good

Google Cloud SQL helps to store the relational database which is fully Managed by Google.

It provides voices and simple integration making it incredibly convenient to use. It is easy to set up and the fact that it supports translation for any language.

It is difficult to create engaging content especially if you have preferences or needs in terms of voice diversity.

Google Cloud Text to Speech solves the need for lifelike speech generation from text. This has benefited my business snd automated voice prompts on our customer service line.

Though we are at this time using only on English, we are planning to add more multilingual features on our websites. The fact that more than 50 languages supported including Hindi and Bengali is a good news. Hundreds of male/ female voice templates with speed variation options. Advanced detection tools to differentiate date, time and other such formats and generates audio sensibly.

Just like there is Sitekit plugin by Google for WordPress users that assembles Google Analytics, AdSense, Search console data into WP Admin dashboard, it will be helpful if there is a plugin by Google itself for converting text to speech blog posts and web pages. Using third party plugins like Gspeech though built leveraging Google Cloud Text-to-Speech and easy to use does not have all Google Cloud features into its free plan. Developing in-house plugin to integrate WordPress and Google Cloud Text-to-Speech can be pricey and not appropriate for all.

For having an audio version of official documents.