Google Cloud Platform: In 2006, Amazon started its cloud service. Google’s own cloud provider jumped into the field two years back. The previous version of App Engine, a platform for developers to run their mobile apps on Google infrastructure, was released in April 2008, by Google. It is a Cloud computing service. To know more about it, scroll down and check out its features, definition, and career aspects.
What is Google Cloud Platform GCP?
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube.
About Google Cloud Platform
Google Cloud Platform is a suite of public cloud computing services offered by Google. The platform includes a range of hosted services for compute, storage and application development that run on Google hardware. Google Cloud Platform services can be accessed by software developers, cloud administrators and other enterprise IT professionals over the public internet or through a dedicated network connection.
Google Cloud Platform (GCP) is a world leader in public cloud computing.
Due to the fact that staff operate globally, businesses must depend on Cloud providers to collect and access data. And for this reason, the GCP has proved to be the most common, owing to its simplicity of use for both cloud novices and experts. Although the majority of workers deal with GCP’s core programs, the more they understand about everything, the further they can do with their business.
As a result, there is an increasing need for new hires who are knowledgeable about GCP and also possess specialized GCP certifications.
Why Use Google Cloud Platform?
You use a cloud platform such as GCP when you want to build and run an application that can leverage the power of hyperscale data centers in some way: to reach users worldwide, or to borrow sophisticated analytics and AI functions, or to utilize massive data storage, or to take advantage of cost efficiencies.
Some of the services that GCP offers include-
- Google Cloud provides cloud computing facilities.
- Computing and Hosting: Google Cloud enables you to operate in a serverless network, with or without hosting, or to use a controlled application framework or to provide your own cloud-based infrastructure.
- Networking: Network security providers will assist you in connecting your current network to Google’s network, as well as in creating DNS records, among other things.
- Big Data: In the cloud, big data services allow you to process massive volumes of data and quickly retrieve answers.
- GCP’s machine learning services allow you to develop and train large-scale models for a variety of purposes.
Who uses Google Cloud Platform?
Some notable companies that are using Google Cloud Platform (Compute Engine or App Engine) include Spotify, HSBC, Home Depot, Snapchat, HTC, Best Buy, Philips, Coca Cola, Domino’s, Feedly, ShareThis, Sony Music, and Ubisoft.
The top Tools of GCP include
- App Engine: is a PaaS platform that enables you to execute technology and let the framework take care of the rest. App Engine dynamically generates additional instances to manage the elevated traffic associated with a popular app.
- Compute Engine: is an IaaS framework that offers highly scalable virtual machines with the choice of directly or through containers deploying the technology. Compute Engine, while requiring more tuning and customization, provides greater stability and is less expensive than App Engine.
- Kubernetes Engine: enables you to deploy, handle, and orchestrate containers at scale by using completely controlled Kubernetes clusters.
- Cloud Dataflow: is being used to construct data pipelines that provide real-time (streaming) or queue data analysis in addition to ETL storage. Cloud Dataflow is also capable of handling huge, multi petabyte data sets and has mostly displaced MapReduce within Google.
Google no longer supports MapReduce, and as a result, it facilitates and assists MapReduce users in migrating to Cloud Dataflow.
- Cloud Dataproc- is Google’s cloud infrastructure for operating Hadoop and Spark clusters. It can be combined with other GCP services and allows for real-time cluster resizing. Additionally, Dataproc supports customized virtual machines and self-healing virtual machines.
- Google Cloud AI serves as the foundation for its machine learning offerings, which provide pre-trained models (machine learning APIs) and a controlled service that enables more experienced developers and consumers to create their own customized models using the Google Cloud Machine Learning Engine.
Certification for GCP
Google Cloud Platform qualification is amongst the most common among professionals and new entrants. Google Cloud Certification has aided today’s novices in securing their dream jobs at well-known businesses. Applicants who hold Google Cloud certifications gain an advantage over unapproved applicants.
- Associate Cloud Engineer.
- Professional Cloud Architect.
- Professional Data Engineer.
- Professional Cloud Developer.
- Professional Cloud DevOps Engineer (beta)
- Professional Cloud Network Engineer.
- Professional Cloud Security Engineer.
Features of GCP
- Serverless computing.
- Application platform.
- Containers.
- Virtual machines.
- Combining computing and hosting options.
- Networks, firewalls, and routes.
- Load balancing.
- Cloud DNS.
Google Cloud Platform Job Responsibilities
- Design Solution architecture on GCP.
- Role as GCP Architect and SME in multiple projects.
- Represent in client meetings.
- Respond to RFPs providing the solution Arch.
- Min one year Experience in Architecting applications for Google Cloud platform.
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GCP Job Role
- Cloud Software Engineers.
- Security & Privacy.
- Cloud Consultants.
- Data Centers.
- Business Systems.
- Sales.
- Cloud Product Managers.
- Cloud Engineering Managers.
Top Location for GCP Job
These are the cities you’ll build your career as GCP
- Bangalore
- Pune
- Chennai
- Mumbai
- Hyderabad
- Delhi.
Name of the companies hiring for Google Cloud Platform
These are the companies
- Accenture
- Mindtree
- Capgemini
- IBM
Salary packages for GCP Job
- Software Engineer. ₹10LPA
- Senior Software Engineer. ₹10LPA
- Data Engineer. ₹3.93LPA
- Data Analyst. ₹6.00LPA
- Development Operations (DevOps) Engineer. ₹10LPA
- Lead Software Engineer. ₹40LPA
- Module Lead. ₹10LPA.
Where and therefore the way we are using this technology in real-time?
Cloud computing services that run on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube.
Google has constructed a vast system of finely calibrated datacenters that is optimized for size and reaction time. This has resulted in a massively scalable cloud offering capable of processing over 100,000 events per second or activities with a cumulative aggregate event payload scale of over 100MB/sec.
GCP has over 100 points of presence in 15 global areas, all linked via dedicated fibre optic networks, ensuring that you are not vying for bandwidth with Netflix traffic. With Virtual Private Cloud (VPC), you can bind or separate your GCP services.
Does one need basic skills to wish to hunt out about this course?
You need a Basic knowledge in Cloud data and Computing services.
- DevOps
- machine learning
- cloud, security.
Conclusion
Thank you for your interest in this article, stay tuned and receive more information about the cloud careers.