1 / 3

What are the Different Benefits of Working on Google Cloud?

Companies turn to the public cloud for different reasons, but it has become a necessity for every size of organization from startup, to SMB, to the enterprise. While each cloud vendor puts their own name on their services, they are all, however using the same open-source software.

Sachin4
Télécharger la présentation

What are the Different Benefits of Working on Google Cloud?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. What are the Different Benefits of Working on Google Cloud? Introduction Companies turn to the public cloud for different reasons, but it has become a necessity for every size of organization from startup, to SMB, to the enterprise. While each cloud vendor puts their own name on their services, they are all, however using the same open-source software. Google Cloud Platform (GCP) is another huge player in this market and offers an extensive range of products. In order to make an informed decision it requires a basic understanding of what GCP is, how much it costs, what products they offer, and more about its structure. You can go through an elaborate GCP Online Training to build your expertise in this domain. What is the Google Cloud Platform (GCP)? The Google Cloud Platform (GCP) offers cloud services for server space on virtual machines, internal networks, disk storage, VPN connections, machine language SaaS (Software as a Service) applications, and even something called TPU (Tensor Processing Units).

  2. GCP product and services offerings The Google Cloud Platform offers more than 100 individual products. Starting from AI and machine learning to data science to networking, storage, and security. App Engine App Engine is a framework and platform for developing and hosting web apps that provide automatic scaling to answer the scaling demand. Instead of running apps in containers, you can develop an application and run on an abstraction of it. This further allows users to run an app without a VM or even a container. BigQuery BigQuery is a serverless as well as enterprise-level data warehouse. It helps users set up their data warehouses quickly and also start analyzing and using the data. It can even analyze petabytes of data in minutes. BigQuery basically uses a standard SQL dialect that to reduce the need for code rewrites. It also uses federated queries, which allows the platform to process external data sources without duplicating data. Cloud Run Cloud Run lets you develop containers without virtual machines. It is eventually both useful and also saves money. Compute Engine Google Compute Engine delivers virtual machines. That is, it allows you to pick from various operating systems and hardware sizes to develop virtual machine instances. Memorystore for Redis Cloud Memorystore for Redis is an open-source, in-memory database, quite similar to SAP Hana or Apache Spark. The idea is that the database will run even faster when there are no disk drives. This is because disk drivers have moving parts that are not as fast as solid-state storage. Thus, Memorystore stores data in memory instead of on disk. Persistent Disk Google Persistent Disk allows database blocks to be easily resized, backed up, and support multiple readers. It also automatically encrypts, so users don’t need to worry about security for their cloud data. Technical support GCP Support is available in different tiers. There is free, self-service support, and also paid support. However, for free support, Google offers StackOverflow,

  3. which google engineers usually monitor. Paid support also includes phone support and a dedicated account manager for your account, depending on which tier you buy. Google Tensor Processing Unit (TPU) Google Cloud TPU is a unique offering to Google, but not entirely as it is a proprietary form of GPUs Graphical processing units are designed to handle large-scale mathematics, which is quite essential in machine learning. TPUs (Tensor Processing Units) are based on technology invented by NVIDIA, which leads and even invented the market in graphics cards. The TPU is a graphics- card-like CPU, except it has hundreds or thousands of cores instead of the normal 4 or 8 of regular CPUs. TPUs use the same technology as the graphics card on your desktop or laptop to do very large-scale mathematics. Tensors are useful in building neural networks to do voice and image recognition. Additionally, they offer the CPU power to solve huge problems, like figuring out the optimal shipping schedule for a worldwide shipping company or modeling computer networks and monitoring cybersecurity events. Conclusion The Google Cloud Platform is a popular option for making an organization competitive in the cloud. A crucial step before any cloud migration is about which platform you are using. As you know data is integral, accurate, and secure. You can become a Google Cloud Professional to work efficiently on using this platform. You can go through GCP Certification Online Training to build your understanding of this domain. A well-versed training will be very helpful in obtaining this certification. Moreover, this certification will also open new doors of opportunities in the near future.

More Related