It’s no surprise that nowadays, cloud computing has truly taken the world by storm. Gone are the days of toiling with complex on-prem infrastructure and arduous networking. The demand for cloud services is skyrocketing not only because it’s more cost-efficient, but it’s also reliable and secure. The industry leaders are now heavily investing in cloud computing, which has earned them more market share and supreme performance.
Although Google started its cloud services later, it’s not a newbie to the cloud. As a matter of fact, the cloud set-up of Google precedes AWS. Google has been using its cloud infrastructure for its internal projects, comprising services like YouTube, Gmail, and Google Search. With the launch of the Google Cloud Platform, Google is basically allowing organizations to reap the benefits of the same proven cloud services that have supported Google for years.
Let’s dive in to know why Google Cloud is not simply a substitute for AWS, but a much superior choice.
To start with, Anthos is a unique creation of Google that is not only unique to the GCP, but also to any other cloud services like Azure and AWS. It’s an outcome of Google’s vision for a hybrid-cloud world, where VMs will transform into containers and flow amongst the Kubernetes pods. Anthos will transform an old stack, which is running in a Virtual Machine into a container that is equipped for Kubernetes deployment either on-prem or on the private cloud, or on any of the public clouds.
On top, it’s layered with a fine service mesh that makes it much simpler to deploy and work the bugs out of microservices. Furthermore, it uniformly manages the identity and security policies, thereby saving the time and effort of the developers.
Anthos is already running on Amazon Web Services and is being preliminary tested in Azure.
Google Chrome Enterprise
At the onset of the lockdowns owing to Covid-19, Chrome Enterprise eased the work for the companies depending upon it by letting everyone work from home and use the cloud services that are built around an open standard.
Google Chrome Enterprise is one more unique solution by Google that provides cloud-based management tools, third-party product integrations, and round-the-clock support for the IT admins. It offers additional management and deployment features catering to the increased needs of enterprises for security and control.
Google rolls out Chrome for a wide-ranging OS for desktops, laptops, and mobiles, although Chrome Enterprise doesn’t limit itself to any specific OS and runs in the browser.
Google’s Cloud Healthcare API enables simple and uniform data exchange amongst healthcare applications and cloud-based solutions. Multiple vital standards for protecting patient data, privacy, and fostering their wellness such as HL7 FHIR, HIPPA, and DICOM are supported by the Healthcare API.
It offers a way to machine learning and analytics in Google Cloud with pre-configured connectors for accessing smart analytics with BigQuery, processing data in Dataflow, and machine learning with AI Platform.
Build and deploy mobile applications in just a few minutes to empower your team and business using Google’s AppSheet with the “no-code” option, which will connect together services like G Suite and Google Analytics. Apps built with AppSheet provide strong visual data presentation across different mobile platforms and devices.
Firebase started as a Backend-as-a-Service and emerged into a futuristic app-development platform on GCP with an increasing set of extensions as well as integrations with different platforms.
It not only stores information but also replicates the data to other database copies that can comprise clients, particularly mobile clients. To put it simply, it handles the whole pushing and pulling of data from the clients to the servers.
Embedded machine learning
Although Firebase and BigQuery are known as databases, they’re the powerhouse of machine learning too. You can store your data and if required, you can also get your hands on some smart analysis.
All your data stays in one place and there’s no need to repack it for any particular machine learning toolkit. Moreover, as an added bonus, the ML in BigQuery is enforced with an additional keyword to the SQL.
G Suite integration
Some of the Google cloud platform products are integrated with Google’s elementary office products. For example, BigQuery provides a number of methods to access and analyze data by converting it into Sheets in your Google Drive.
G Suite lets you easily integrate your user directory with your website, thereby simplifying the management of domain and user. Moreover, managing users via G Suite enables you to authenticate through, import current users from groups, and manage them from the admin pages of G Suite.
More virtual CPUs
While AWS EC2 instances reached a maximum of 96 vCPUs, the list of machines of Google Cloud comprises somewhere the number of virtual CPUs requires three digits. In addition, there are the gigantic m2-ultra men-4164 with a RAM capacity of 11,776 gigabytes and 416 virtual CPUs. So, if you are looking to talk big about kicking up a machine with 416 CPUs, this is it!
Custom cloud machines
While AWS doesn’t provide actually customized virtual CPUs and RAM for your instance, Google provides sliders that allow you to select the amount of RAM and the number of virtual CPUs for your instance. Although the flexibility comes with limits, this is still a significant increase in terms of flexibility when you need an odd configuration or if you want to set up just the minimum amount of RAM in order to do your job.
At the onset of each month, the discounts reset; so to enjoy the benefit of the full discount, on the first day of the month create your instances.