Several Google Cloud Database Storage Products Now GA with SLA

Cloud SQL, Cloud Bigtable and Cloud Datastore are now generally available under SLAs. New performance, security support for Google Compute Engine annoounced.

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Today August 16, Google made all of their database storage products generally available and covered by corresponding Service Level Agreements (SLAs).

Google's database storage products including Cloud SQL, Cloud Bigtable and Cloud Datastore are now "generally available."

Additonally, they also released new performance and security support for Google Compute Engine.

"Whether you're running a WordPress application with a Cloud SQL backend or building a petabyte-scale monitoring system, Cloud Platform is secure, reliable and able to store databases of all types," the team stated.

Google Cloud SQL performance

Cloud SQL Second Generation, has completed a successful beta and is now generally available. It's a fully-managed database service offering easy-to-use MySQL instances.

The team notes, since beta, a number of enterprise features such as support for MySQL 5.7, point-in-time-recovery (PITR), automatic storage re-sizing and setting up failover replicas with a single click were added to Cloud SQL.

And, that Cloud SQL is delivering up to 2x more transactions per second at 50% of the latency per transaction when compared to Amazon Web Services (AWS) Relational Database Service (RDS) using Aurora.

Additionally, for enterprises looking to manage their own databases on Google Compute Engine (GCE), the following improvements are launced:

  • "Google Compute Engine now runs Microsoft SQL Server featuring images with built-in licenses (in beta), as well as the ability to bring your existing application licenses.
  • Increased IOPS for SSD-backed Persistent Disk volumes from 15,000 to 25,000 at no additional cost.
  • Customer-supplied encryption keys (CSEK) for Google Cloud Storage to be a zero-knowledge system without access to the keys. Generally available.
  • Low-latency for Google Cloud Storage Nearline storage - now enables access times and throughput similar to Standard class objects. Prior to today, retrieving data from Nearline incurred 3 to 5 seconds of latency per object," explained Google.

In another post today, the company explained the features and performance of its Cloud SQL Second Generation—which was first launched five years ago.

In that time, Google said "Cloud Platform's innovations on Persistent Disk dramatically increased IOPS for GCE,' so "we built Second Generation on Persistent Disk," allowing us to offer a far more performant MySQL solution at a fraction of the cost.

Adding it said "Cloud SQL Second Generation now runs 7X faster and has 20X more storage capacity than its predecessor." And, now "with lower costs, higher scalability, automated backups it can restore your database from any point in time and 99.95% availability, anywhere in the world. "

Cloud SQL Second Generation performance gains are dramatic: up to 10TB of data, 20,000 IOPS, and 104GB of RAM per instance.

You can read more details in google post here.