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What Is Google Cloud Hosting

What is Google Cloud hosting? Google Cloud is a collection of Google’s public cloud computing services. The platform comprises a variety of Google-hosted services for computation, storage, and application development. Software developers, cloud administrators, and other enterprises IT experts can use Google Cloud services over the public internet or a dedicated network connection.

In this section, we go over Google Cloud in-depth, including its offerings or services, higher-level services, pricing options, and competitors. Let’s start.

What is Google Cloud Offerings

Google Cloud provides compute, storage, networking, big data, machine learning, and Internet of Things (IoT) services, as well as cloud management, security, and developer tools.

The following are some of Google Cloud’s services provide to cloud computing as follows:

Google Compute Engine: It is an Infrastructure as a Service (IaaS) provider that gives consumers virtual machine instances to host their workloads.

Google App Engine: It is a Platform as a Service (PaaS) that provides software developers a scalable hosting from Google. Developers can also use an SDK to create App Engine-compatible software.

Google Cloud Storage: It is a cloud-based storage platform for huge, unstructured data volumes. Cloud Datastore for NoSQL non-relational storage, Cloud SQL for MySQL fully relational storage, and Google’s native Cloud Bigtable database are all available from Google.

GKE: GKE stands for Google Kubernetes Engine which is a management and orchestration framework for Docker containers and clusters running on Google’s public cloud services.
Kubernetes, Google’s open-source container management solution that provides the foundation for Google Kubernetes Engine.

The Google Cloud Operations Suite: It is formerly known as Stackdriver. It is a collection of integrated tools for monitoring, logging, and reporting on the managed services that power Google Cloud applications and systems.

Cloud Functions: It generates functions that handle cloud events, Cloud Run for managing and executing containerized apps, and Workflows for orchestrating serverless products and APIs are examples of serverless computing tools and services.

Cloud Bigtable: It is for large-scale, low-latency workloads; Firestore for documents; CloudSpanner as a highly scalable, highly reliable relational database; and CloudSQL as a fully managed database for MySQL, PostgreSQL, and SQL Server are among the database products delivered as completely managed services by Databases.

Google Cloud provides services for application development and integration. Google Cloud Pub/Sub, for example, is a controlled and real-time messaging service that allows applications to exchange messages. Furthermore, Google Cloud Endpoints allows developers to establish RESTful API-based services and then make them available to Apple iOS, Android, and JavaScript clients. Anycast DNS servers, direct network hookups, load balancing, monitoring, and logging services are among the other services available.

Google Cloud Higher-Level Services

Google continues to expand its cloud platform with higher-level services such as big data and machine intelligence. Google BigQuery, providing SQL-like searches against multi-terabyte data sets, is one of the company’s big data services for data processing and analytics. Furthermore, Google Cloud Dataflow is a data processing service designed for analytics, extract, transform, and load (ETL) applications, as well as real-time computing operations. Google Cloud Dataproc, which provides Apache Spark and Hadoop services for large data processing, is also part of the platform

Google Cloud Pricing Options

Most Google Cloud services, like other public cloud solutions, are based on a pay-as-you-go basis, which means users only pay for the cloud resources they utilize. Specific terms and fees, on the other hand, differ from one service to the next. Some services with long-term commitments may be eligible for discounts. Committed use savings on Compute Engine resources like instance types and GPUs, for example, can save you up to 50%.To estimate the pricing of potential cloud deployments, Google Cloud adopters should speak with Google sales professionals and in-house cloud architects, as well as employ cloud pricing estimating tools like the Google Cloud Pricing Calculator.

Google Cloud Competitors

Other public cloud companies compete fiercely with Google Cloud, with Amazon Web Services (AWS) and Microsoft Azure leading the pack. Here are some of the companies are the competitor of Google Cloud as follows:

1. AWS: It is the most experienced and established public cloud, having launched as a public service in 2006. It usually provides the most comprehensive set of general tools and services, and it has the biggest market share by appealing to a diverse spectrum of customers, from individual developers to huge corporations and government agencies.

2. Microsoft Azure: It was launched in 2010 and has proven to be very appealing to Microsoft-based settings. This has simplified the migration of workloads from data centers to Azure, as well as the creation of hybrid environments. Azure is the second-largest public cloud, and it mostly serves larger businesses.

3. Google Cloud: It debuted in 2010, and it is the smallest of the three major public clouds. Google Cloud, on the other hand, is known for its compute, network, big data, and machine learning/AI capabilities.

However, as all three public clouds evolve to offer similar suites of services and capabilities, the differences between them are dissolving. AWS Controllers for Kubernetes and Azure Service Operator, for example, is compatible with Google Cloud’s Config Connector for app modernization. There are only a few Google Cloud services that do not have an AWS or Azure equivalent. For example, there are presently no AWS or Azure services that match Google Cloud’s Binary Authorization service for container security or the Error Reporting tool for software engineers. Though multi-cloud settings are becoming more widespread among enterprise users, cloud adopters should thoroughly explore and experiment with the array of services provided by each cloud provider before committing to a particular platform.


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