Google Cloud Services

google cloud services

The ecosystem of Google Cloud Services It is very spacious and offers many tools for development of companies and technicians. As we have seen in other posts, Google Cloud is the infrastructure massive and on the cloud of Google, which operates the traffic and work of all Google users in various regions of the world.

In the Cloud Computing, what you knew as software and hardware products become servicesWhen you build your website or app on Google Cloud, you mix and match these services to provide the infrastructure you need, and then add your code to create what you want.

For its part, Google Cloud It stands out for its wide range of services, such as Infrastructure as a service (IaaS), Platform as a Service (PaaS) or Software as a Service (SaaS). It has solutions of Databasescloud storage and networking. In addition, customers of Google Cloud Platform can access the free of charge cloud console.

 

1. How to get started with Google Cloud?

As we have discussed in previous articles, Google Cloud Services offers a large number of services, each focused on different problems or needs. However, within this world of possibilities there is a learning curve that we must overcome in order to be able to make the most of the tools that we have at our disposal. To help you get started in this world, we've put together a series of recommendations to make your journey as smooth as possible and to enjoy it.

One way to start is to find a project you want to work onWith this in mind, you can address the different types of modules that exist in GCP to address our idea. These projects can be: Data, data storage, whether SQL or NoSQL, data pipelines, Artificial Intelligence, Machine Learning, servers in virtual machines, etc.

Another way to get started is to use the Google documentation along with their free courses that we can find in Cloud Skill BoostHere, we can find not only video guides, but also quizzes to test our knowledge and test labs, the latter of which can be paid for through credits or a monthly subscription. The advantage of this option is that we will not miss the theory and we will find direct links to the documentation for each tool we are studying.

It is also divided into categories depending on the purpose, and the laboratories can be found by filtering by tool or title. The big advantage of this is that although we are advanced and already use GCPWith this we can make small deployments in a controlled manner without risks of generating consumption and with a guide that explains step by step.

 

 

2. What services does Google Cloud offer?

Google Cloud offers all kinds of cloud services aimed at solving problems or addressing needs that both individuals and companies may have. On the website of Google Cloud Developer Cheat Sheet it's possible find all available modules with a brief description of each one and grouped by color in categories.

Among the large number of services, we can highlight the following:

Compute with Compute Engine, App Engine, Cloud Run, GKE (Google Kubernetes Engine) and Cloud Functions

Storage with Cloud Storage

Database with BigTable, Cloud Spanner and Firestore

Data Analytics with BigQuery, Data Flow, Data Prep, Data Proc and Pub/Sub

AI/ML with AutoML, Vertex, Cloud Vision, DocumentAI, Text-to-Speech

 

 

3. Features of Google Cloud

Among the characteristics that exist of Google Cloud Services As premier partners, we like to highlight the Easy to use, both for the excellent UI/UX on your console, as well as the ability it grants to perform a deployment in a few steps, leaving operational solutions that may be complex.

It is important to clarify that experience is a key factor in this since, regardless of knowledge, each project is a different world and faces specific problems, and Correct configuration is essential to avoid high costs or low performance in the implemented solution.

Another important point is the billing section, which allows us to see in detail the consumption that we have on the console day to day, distinguishing between each deployed tool. In addition, we can generate customized graphs to view costs and even generate budgets with alerts that notify us by email when we reach different consumption thresholds we configure.

 

 

4. Advantages of Google Cloud Services

It is undeniable that data is the new oil as several people have already mentioned, and this Google You know it, that's why among the advantages that we can find it is impossible to overlook the great focus on the tools for data processing of which we spoke at the beginning of the article.

From the intake with the great integration capacity to different data sources, the pipelines to transform, optimize and prepare this data and finally translate it into dashboard tools as Looker Studio or Looker, where the most important insights will be reflected.

To this are coupled the different Machine Learning and Artificial Intelligence solutions pre-trained, from which we can transform audio to text, text to audio, obtain text from images or PDFs among others, label images and even perform sentiment analysis from text.

In addition to this Google Cloud Services offers a range of tools focused on computing, where we can set up tools designed from scratch to perform any task we want from the cloud. From microservices or APIs, mounted in Docker containers and orchestrated with Kubernetes, up to specific functions deployed in a few steps, thus freeing us from greater complexities when instantiating resources.

 

 

5. How secure is Google Cloud Services?

Google places a lot of emphasis on security that it offers since it is a vital point, taking into account that it offers comprehensive solutions, where you can take any on-premise solution to the cloud. The security that Google uses for Google is what it offers to users. GCP users, without differentiating between users with lower or higher consumption. It also generated its own private global network, which provides a high performance and superior reliability.

As for facilities, data centers use a multi-layered security system, built-in redundancy and fault tolerance. Even employee input is limited.

The most important point to keep in mind when evaluating the safety of Google cloud It is the proper use we give it and the access we grant. Within the modules there is one called IAM, which is where, among other things, we can manage which users will be able to enter, which modules they will have access to and define the scope of the same. The same thing happens if we generate solutions that will have access to the Internet, such as virtual machines or microservices, even APIs, it will be the responsibility of whoever manages this to use the correct configurations to avoid any type of incident.

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