Google Data Studio enable customers to access, visualize, and share all their data, regardless of where that data resides—today adds support for the popular Google Cloud SQL and MySQL databases.
This is the beginning of making your first party data available through Data Studio, the company stated.
Using the new Google Cloud SQL and MySQL connector, you can now access the data in your database to create amazing reports and dashboards.
Enterprise customers are often surprised to learn that Google Cloud Platform is a great environment to run their Windows workloads. Thanks to GCP's dramatic price-to-performance advantages, customizable virtual machines and state-of-the-art networking and security, customers can migrate key workloads, retire legacy hardware and focus on building and running great applications rather than on maintaining costly infrastructure.
to make further Google Cloud Platform (GC) the best place to run Windows workloads—Google has just announced that you can now launch Google Compute Engine VM images preinstalled with Microsoft SQL Server, "with the full range of licensing options and administrative control. "
Google nothes that Compute Engine VMs preinstalled with Microsoft SQL Server allow customers to spin up new databases on-demand without the need to purchase licenses separately. While, enterprise can pay as you go, only for what you use.
And, existing Microsoft SQL Server licenses transfer directly to GCP for customers with Software Assurance from Microsoft.
Further, the company notes, that it's easy to get started with $300 in free trial credit using any of supported versions of Microsoft SQL Server.
Specifically, the SQL Server versions are supported as of today:
- SQL Server Express (2016)
- SQL Server Standard (2012, 2014, 2016)
- SQL Server Web (2012, 2014, 2016)
- and coming soon, SQL Server Enterprise (2012, 2014, 2016)
For getting started, "you can create a boot disk from ready-to-deploy images directly from the Cloud Console," the company said.
Check out the detailed documentation around how to create Microsoft Windows Server and SQL Server instances on GCP.
Enterprise customers can get migration help today with a range of partner-led and self-service migration options.
Finally, starting today, IntelliJ IDEA users can now use the new Google Cloud Tools for IntelliJ plugin to deploy their application in App Engine standard and App Engine flexible, and use Google Stackdriver Debugger and Google Cloud Source Repositories without leaving the IDE.
To install the plugin, start IntelliJ IDEA, head to File > Settings (on Mac OS X, open IntelliJ IDEA > Preferences), select Plugins, click Browse repositories, search and select Google Cloud Tools and click Install (you may also be asked to install an additional Google plugin for authorization purposes).
Once installed, make sure you have a billing-enabled project on GCP under your Google account (new users can sign up for free credits). Open any of your Java web apps that listens on port 8080 and Choose Tools > Deploy to App Engine, where you'll see a deployment dialog.
Once you click Run, the Google Cloud Tools for IntelliJ plugin deploys your application to App Engine flexible in to the cloud (if this is the first deploy, this can take a few minutes). The deployment output in the IntelliJ shell will show the URL of the application to point to in your browser.
You can also deploy a JAR or WAR file using the same process, instead choosing the Filesystem JAR or WAR file on the Deployment dropdown.
You can check the status of your application in the Google Cloud Platform Console by heading to the App Engine tab and clicking on Instances to see the underlying infrastructure of your application in action, google explained.
Visit the GCP Java developers portal, where you can find all the information you need to get started and running your Java applications on GCP.
For the past 15 years, an RPC framework on GCE is available that consists of a core RPC layer that can handle internet-scale of tens of billions of requests per second (yes, billions!).
Today, the gRPC project has reached a significant milestone with its 1.0 release and is now ready for production deployments. Now, this technology is available for anyone as part of the open-source project called gRPC.
"The release offers ease-of-use with single-line installation in most languages, API stability, improved and transparent performance with open dashboard, backwards compatibility and production readiness."
As a high performance, open-source RPC framework, gRPC features multiple language bindings (C++, Java, Go, Node, Ruby, Python and C# across Linux, Windows and Mac).
It supports "iOS and Android via Objective-C and Android Java libraries, enabling mobile apps to connect to backend services more efficiently," stated Google.
For more details on gRPC 1.0 release, visit here.