Google Cloud Platform alternatives

Google Cloud Platform
Google Cloud Platform is a set of modular cloud-based services that allow you to create anything from simple websites to complex applications. Cloud Platform provides the building blocks so you can quickly develop everything from simple websites to complex applications. Explore how you can make Cloud Platform work for you.
Google Cloud Platform alternatives are:
Amazon Web Services, Windows Azure, Heroku, Google App Engine, Parse
Here are the latest news about Google Cloud Platform:

13.03.17 Google Cloud Platform improved its free tier


Google launched an improved always-free tier and trial program for its Cloud Platform. The free tier, which now offers enough power to run a small app in Google’s cloud, now allows for free usage of a small (f1-micro) instance in Compute Engine, Cloud Pub/Sub, Google Cloud Storage and Cloud Functions. In total, the free tier now includes 15 services. The addition of the Compute Engine instance and 5GB of free Cloud Storage usage is probably the most important update here because those are, after all, the services that are at the core of most cloud applications. You can find the exact limits here. With this move, Google is clearly stepping up its attacks against AWS, which offers a similar but more limited free tier program for its users.



2017 Google Cloud Platform takes on Windows Azure with new Windows VMs


Google announced several new products today aimed at luring IT pros who are using Windows in their data centers to the Google Cloud Platform. The company introduced support for Microsoft SQL Server Enterprise and Windows Server Core on the Cloud Platform. In addition, the company announced support for SQL Server Always-On Availability Group for customers who are concerned about high availability and disaster recovery when running critical operations in a cloud setting. What this means in practical terms is that IT pros can now launch pre-configured virtual machines running any of these products on Google Cloud Platform, and pay for them by the minute — or they can bring an existing SQL Server license they have already paid for.



2017 Google Cloud Platform gets a new key management service


Google Cloud Platform is launching a new key management service, that will help enterprises, especially in regulated industries like healthcare and banking, to create, use, rotate and destroy their encryption keys in the cloud. Enterprises have traditionally managed their keys on-premise, but as they have slowly moved more of their workloads to the cloud, they have also started thinking about how they can manage their keys in the cloud, too. With the AWS Key Management Service and Azure Key Vault, Amazon and Microsoft have long offered a similar tool, for example, and even Google itself already offered a more basic version of Cloud KMS for users who wanted to supply their own encryption keys.



2016 Google Cloud Platform gets new a cold storage service


Google launched Coldline - a new cold storage service for data archiving and disaster recovery (an alternative to Amazon Glacier). Google Cloud Storage already offered the similar service Nearline. But when Nearline came out of beta earlier this year, it also became much faster. Instead of three to five seconds of latency, access to data was now real-time. So, Coldline basically fills the gap that the improved Nearline service left after it came out of beta. Coldline storage will only cost $0.007 per gigabyte per month (and $0.05 per gigabyte retrieved). Nearline costs $0.01 per month. That may not look like a huge difference, but those numbers quickly add up if you are storing massive amounts of data.



2015 Google launched custom machine types for its Cloud Platform



Google Cloud Platform launched a new way of buying virtual machines in its cloud - Custom Machine Types. With new Custom Machine Types, Google lets you specify exactly how many vCPUs (up to 32) and how much memory you need (up to 6.5 GiB per vCPU — Google likes to be precise, so it doesn’t use ‘gigabyte’ and instead specifies the number of gibibytes). If your needs change — as they inevitably will — you can adjust the number of cores and memory as needed. Maybe you’ve outgrown the virtual machine with two vCPUs. Typically, you would have to step up to a machine type with four vCPUs, even if you only needed three. Because you don’t have a choice, you end up paying for more power than you need.