Usage-based fees apply to cloud computing services. Customers merely pay for the services they use on a monthly basis and do not own any infrastructure, similar to the utility, rental car, or hotel businesses (electricity, cars, or rooms). The resources of cloud computing are on demand, just like the examples given before.
What is the Google Cloud Platform (GCP)?
The Google Cloud Platform is a collection of Google's computing, networking, storage, big data, machine learning, and management services that are underpinned by the same internal cloud architecture as Google's consumer products including Google Search, Gmail, Photos, and YouTube.
You can see our GCP Training professional go through all the technical details in this Google Cloud Provider video lecture.
Why Google Cloud Platform?
Let's look at some of the advantages now that you have a basic understanding of cloud computing and the Google Cloud Platform. With the same core architecture as Google's consumer products like Google Search, Gmail, Google Photos, and YouTube, the Google Cloud Platform is a group of cloud computing services. The enormity of the Google Search, YouTube, and Gmail databases is something we are all familiar with.
When to Use Google Cloud Platform:
- Cloud-native Web or mobile application developers are drawn to the Google Cloud Platform, particularly the App Engine PaaS.
- Because it is committed to performance, innovation, openness, and reasonable rates when start-ups need to scale quickly, the cloud computing service is well-liked.
- When it is difficult to predict and compare public cloud prices, Google is a great alternative for cost-conscious businesses of all sizes, and definitely for hybrid IT customers.
- Google is quite proficient in machine learning, artificial intelligence, and big data analytics.
- Its cloud offerings draw on the knowledge it has gained by creating some of the most well-known open-source projects in this industry.
- These big data capabilities are enhanced by Google's cost-effective cloud storage, making this cloud platform practical for storing enormous volumes of data.
- In the competitive container technology market, Google is striving to differentiate itself.
- When looking for cloud-based container tools, consider Kubernetes, an open-source container management system designed by Google that is integrated into their cloud and provides excellent support for Docker.
Features of Google Cloud Platform:
1. Price
Google's pricing structure was recently modified to include per-minute payments and discounts for long-term usage. After a 10-minute minimum, billing is done on a minute-by-minute basis.
2.Hosting
Computes Engine, which offers infrastructure-as-a-service, and App Engine, which offers platform-as-a-service, are the two hosting alternatives offered by the Cloud Platform.
3.Containers
Containers are especially useful in a PaaS context since they aid in expediting app deployment and scaling.
4.Big Data
In addition to offering a complete large data solution, the Google Cloud Platform also features two unique tools for processing and analysing big data. First, BigQuery allows for SQL-like queries on terabytes of data. You can also easily bulk load data from Google Cloud Storage. The second tool is Google Cloud Dataflow. You can create, manage, and receive insights from a data processing pipeline using Google Cloud Dataflow, which was also presented at I/O.
5.Andromeda
All Google Cloud Platform networking tools and services are built on top of the Google Andromeda network virtualization stack.
6.Load Balancing
Google released the Cloud Platform HTTP Load Balancing in June in order to balance the traffic of several compute instances across various geographic locations.
7.Cloud Debugger
Developers have the option to examine and troubleshoot live code using the Cloud Debugger. When a server request reaches a line of code that developers have set up as a watchpoint, they will have access to all of its variables and parameters.
8.Cloud Trace
Performance bottlenecks are straightforward to locate and fix with Cloud Trace. The main benefit of this update is that it shows how long your product takes to reply to various queries.
9. Maintainance
Google regularly sends out updates and conducts routine testing, but it also sets up all virtual machines to live migrate away from maintenance as it is being done. Compute Engine immediately migrates your active instance.
10.Cloud Save
At the 2014 Google I/O developers conference, Greg DeMichillie, the director of product management for the Google Cloud Platform, unveiled the Cloud Save API. Use the "Cloud Save" function to "save and retrieve per-user information." It also makes it possible to sync devices with cloud-stored data.
Conclusion
Google provides several cloud services in addition to the Cloud Platform. A bundle of productivity and collaborative tools called G Suite was in rivalry with Microsoft Office 365. Firebase is a platform for building both web and mobile applications. However, Google has greatly increased its focus on Anthos-based hybrid and multi-cloud workloads, allowing users to manage workloads on both Google Compute Engine and Google Kubernetes Engine. The majority of Google Cloud Platform is a public cloud service.
Google Cloud Next 18 is most awaited google fest which shapes the cloud as we know it.
The conference is to be held on July 24–27 in San Francisco.
Most groundbreaking google announcements of 2017’s Next
In upcoming Google Cloud Next 18 leading partners, developers, influencers, tech evangelists, customers, and companies will get together for sharing knowledge and insights.
Google let you access their code labs, demos, and hands-on training, which covers various tech avenues.
Agriculture, one of the primary occupations known to man, has been stuck with traditional methods and ideas for the longest time.
But, the season of change is here, and it’s time for agriculture to embrace the latest technological innovations sweeping varied sectors around the world.
And, one of the foremost changes we are about to see is cloud adoption in agriculture.Now, you might be wondering, what does the cloud tech and the agricultural sector have in common for them to go hand in hand?
The truth is that they have more things in common than what has been explored so far.Cloud computing in agriculture offers multiple avenues for the sector to prosper and grow.
It not only has the potential to enhance productivity but also has the ability to make farming more efficient and easier for the cultivators.With that being said, here’s taking a look at the impact of the modern era of cloud computing in agriculture sector to get a clear picture of the matter.A glimpse into the new era of cloud computing The new age of cloud computing represents an information tech paradigm that enables users to gain access to shared pools of customizable system resources through the internet.
Sharing of the features of cloud in agriculture enables economies of scale and coherence, which make it function like a public utility.
As the year 2019 has come closer, due to Artificial Intelligence, every domain is hoping to make major changes about every industry.
AI and life-like virtual agents
Many businesses, both big and small, have already started their journey in the AI-powered chatbots to help customers in any way - answers to questions for site visitors, help them investigate, Qualifying sales leads, and so on.
AI-Powered Effective Tackling of Cyber Defense
Cyberspace has always been a cause of concern for the global internet community.
Cybercriminals find ways to target SaaS platforms, Internet of Things Devices and Cloud Infrastructure, time and again, everywhere the business owners were battling technical security issues as they could.
