What you need to know about the Google Cloud Platform.
Google recently shifted its pricing model to include sustained-use discounts and per-minute billing. Billings starts with a 10-minute minimum and bills per minute for the following time. Sustained-use discounts begin after a particular instance is used for more than 25% of a month. Users receive a discount for each incremental minute used after they reach the 25% mark. Developers can find more information here.
If you're wondering what it would cost for your organization, try Google's pricing calculator.
#2. Cloud Debugger
The Cloud Debugger gives developers the option to assess and debug code in production. Developers can set a watchpoint on a line of code, and any time a server request hits that line of code, they will get all of the variables and parameters of that code. According to Google blog post, there is no overhead to run it and "when a watchpoint is hit very little noticeable performance impact is seen by your users."
Cloud Trace lets you quickly figure out what is causing a performance bottleneck and fix it. The base value add is that it shows you how much time your product is spending processing certain requests. Users can also get a report that compares performances across releases.
#4. Cloud Save
The Cloud Save API was announced at the 2014 Google I/O developers conference by Greg DeMichillie, the director of product management on the Google Cloud Platform. Cloud Save is a feature that lets you "save and retrieve per user information." It also allows cloud-stored data to be synchronized across devices.
The Cloud Platform offers two hosting options: the App Engine, which is their Platform-as-a-Service and Compute Engine as an Infrastructure-as-a-Service. In the standard App Engine hosting environment, Google manages all of the components outside of your application code.
The Cloud Platform also offers managed VM environments that blend the auto-management of App Engine, with the flexibility of Compute Engine VMs.The managed VM environment also gives users the ability to add third-party frameworks and libraries to their applications.
Google Cloud Platform networking tools and services are all based on Andromeda, Google's network virtualization stack. Having access to the full stack allows Google to create end-to-end solutions without compromising functionality based on available insertion points or existing software.
According to a Google blog post, "Andromeda is a Software Defined Networking (SDN)-based substrate for our network virtualization efforts. It is the orchestration point for provisioning, configuring, and managing virtual networks and in-network packet processing."
Containers are especially useful in a PaaS situation because they assist in speeding deployment and scaling apps. For those looking for container management in regards to virtualization on the Cloud Platform, Google offers its open source container scheduler known as Kubernetes. Think of it as a Container-as-a-Service solution, providing management for Docker containers.
#8. Big Data
The Google Cloud Platform offers a full big data solution, but there are two unique tools for big data processing and analysis on Google Cloud Platform. First, BigQuery allows users to run SQL-like queries on terabytes of data. Plus, you can load your data in bulk directly from your Google Cloud Storage.
The second tool is Google Cloud Dataflow. Also announced at I/O, Google Cloud Dataflow allows you to create, monitor, and glean insights from a data processing pipeline. It evolved from Google's MapReduce.
Google does routine testing and regularly send patches, but it also sets all virtual machines to live migrate away from maintenance as it is being performed.
"Compute Engine automatically migrates your running instance. The migration process will impact guest performance to some degree but your instance remains online throughout the migration process. The exact guest performance impact and duration depend on many factors, but it is expected most applications and workloads will not notice," the Google developer website said.
VMs can also be set to shut down cleanly and reopen away from the maintenance event.
#10. Load balancing
In June, Google announced the Cloud Platform HTTP Load Balancing to balance the traffic of multiple compute instances across different geographic regions.
"It uses network proximity and backend capacity information to optimize the path between your users and your instances, and improves latency by connecting users to the closest Cloud Platform location. If your instances in one region are under heavy load or become unreachable, HTTP load balancing intelligently directs new requests to your available instances in a nearby region," a Google blog post said.