Google Cloud Vps Server – Google Cloud Platform (GCP) is a top-notch Infrastructure-as-a-Service (IaaS) solution with a variety of cloud services that will appeal to users of Google services. Features include impressive AL and ML functionality and outstanding overall performance.
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Google Cloud Vps Server
Google Cloud Platform (GCP) is a powerful Infrastructure-as-a-Service (IaaS) solution that integrates with various Linux distros as well as Windows Server until 2016. GCP (whose value can be determined by of corporate engagement) has grown to 15 regions, with at least three zones each since we last checked it. Each zone has multiple data centers and is growing as Google continues to build storage infrastructure. Google has expanded its network to meet the growing needs of its data centers and has recently added three undersea cables. Interestingly, a cable is in the western Pacific landing in Guam. It connects to 10 undersea cables connecting Asia, the South Pacific, Australia, Japan, and the US mainland.
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Google’s global networking is a valuable asset when considering its wide range of networking options available to GCP users. The network setup is well designed, easy to use, and provides a wide selection of assets including network infrastructure and virtual networking. All of this is now available in the newly designed GCP Console, which is easy to use and intuitive in its own right. Because of all these positives and more, we gave GCP an excellent rating in our IaaS review round, though GCP still didn’t beat competitor Amazon Web Services ($6,415.00 at Amazon)(Opens in a new window) (AWS), which earned our Editors’ Choice and may be slightly cheaper.
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Where you once had to be a keyboard jockey to use Google Cloud, basic setup and operation is no longer the domain of the command line. Almost everything can be done through the new graphical user interface (GUI), and doing things like creating and configuring a compute server has been reduced almost to mouse clicks in your browser. This makes basic setup with Google as easy as simpler reputable services like DigitalOcean ($1.00 at Digital Ocean)(Opens in a new window) or Rackspace ($10,300.00 at Rackspace)(Opens in a new window) .
To make things easier, Google provides a wide selection of pre-configured servers. Network configuration settings are also easily available, and you can set up servers through the user interface (UI).
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That UI replaces almost all functions that were previously only available via the command line. You access the menus and screens through your browser, and once your server is configured, you can also access its GUI. When we set up our Windows 2016 server, for example, we used remote desktop to manage the server as if it were a local server, not one located hundreds of miles away.
It’s worth noting that GCP’s network performance was such that we saw no evidence of latency, even when using Windows Server via remote desktop. While the remote desktop didn’t support our 4K monitor, it provided a screen large enough to manage easily.
Since we last reviewed GCP, it has expanded its footprint significantly. As mentioned earlier, there are now 15 regions, each with at least three zones, and each of those with at least one data center, but most contain more than one. This footprint is expanding with five more regions planned for 2018 and 2019. Google isn’t saying how many data centers it has for GCP overall, especially since the number is constantly changing. It’s fair to say that there’s probably a data center nearby wherever you are. For example, our testing was done using a data center in Northern Virginia, which is only a short drive from where our testing is conducted. During testing, there was no noticeable latency. There are GCP regions on every continent except Africa.
Each of these data centers is constantly being upgraded, with GCP currently offering servers with Intel Skylake processors. Google has said in previous announcements that it intends to upgrade to processors without the Specter and Meltdown security flaws that affected Intel processors. GCP’s internal network now runs at speeds of up to 16 gigabits per second (Gbps). The network provides encrypted connections between regions using Google’s private global fiber network. It all adds up to a service with capabilities advanced enough to compete with enterprise-focused services, including AWS and IBM Cloud ($9, 100.00 at IBM)(Opens in a new window) .
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As for the service itself, to test it I used Geekbench 4(Opens in a new window) from Primate Labs. Geekbench is a cross-platform benchmarking application designed to treat all platforms the same, regardless of operating system. For GCP, I used the minimum configuration needed for the benchmark: a n1-standard-1. This platform consists of an Intel Xeon Virtual CPU (vCPU), 3.75 gigabytes (GB) of RAM, and a 10GB hard drive. The benchmark instance consists of 64-bit Windows Server 2016 Enterprise. As with the other services, we ran Geekbench from a remote Windows desktop.
This benchmark program runs several integer, floating point, and memory tests. In this benchmark, higher numbers are better. I haven’t tried to formally test networking or storage performance.
GCP delivered an average single-core benchmark score of 2,827 and an average multi-core score of 2,659. The numbers are similar because they only use one core. These results are very similar to other cloud services that also run Windows Server. Although there are minor differences, it appears that while the scores improved slightly on the previous benchmark for GCP, speed is not a significant difference for this cloud service.
Google Compute Engine’s service-level agreement (SLA) guarantees at least 99.99 percent uptime. If your monthly uptime percentage is between 99.95 and 99.99 percent, then you get a 10 percent credit. If it falls between 95 percent and 99 percent, you get 25 percent. If it drops below 95 percent in a month, you get a 50 percent credit. Google provides pricing for each opportunity you create as you do so. It charges on a per second basis. For example, the benchmark instance costs $65.89 per month if I let it run for a month (defined by Google as 720 hours).
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I used GCP’s Pricing Calculator(Opens in a new window) to price a three-tier Ubuntu Linux web app. It consists of two on-demand microinstances: the load balancer and the hosting website. The web server itself is hosted on a g1-small instance of Linux. These are supported by a pair of on-demand, f1-micro Linux web servers for peak demand and a g1-small Linux disaster-recovery (DR) server.
For the database backup, I used 300GB and 4GB storage which is in Google Cloud Storage Standard. The 150GB database management system (DBMS) itself lives on a Cloud SQL D8 MySQL instance. The DR DBMS with 300 GB of storage is housed in a Cloud SQL D2 MySQL. The total monthly data transfer allowance, source to destination, is 440 GB, with a source destination allowance of 1,140 GB.
As for tech support, I go with the lowest available support system. This helpdesk provides assistance via email and tickets. In total, this simple eight-server web app package costs about $5, 358.28 per year.
GCP is affordable and features great performance even as Google quickly adds various data centers to support demand. The result of this massive growth is unusual pricing for GCP usage, which will vary slightly depending on location. GCP server farms in regions with abundant cheap energy have lower utility costs compared to regions where electricity costs are higher.
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However, Google’s aggressive rate of building data centers means you’re more likely to find one near you. Using a data center that is closer will reduce latency, due to reduced propagation delay and reduced latency associated with internet congestion and infrastructure latency. Depending on your app, latency may not matter to you. But, in general, you’ll probably want to use a location near you.
It’s also worth noting—and Google makes sure to emphasize this—that there’s a lot more to GCP than just IaaS. You also have access to Knowledge-as-a-Service (KaaS), Platform-as-a-Service (PaaS), among other services, including a wide selection of artificial intelligence (AI) and machine services learning (ML), including Google’s prominent speech and vision ML features.
Although this review focuses on IaaS, GCP, like other cloud services, is much more than IaaS. GCP can probably do anything in the cloud that you could possibly want to do.
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