Google Cloud Platform Blog
Product updates, customer stories, and tips and tricks on Google Cloud Platform
Announcing Limited Preview Of SSD persistent disk
Wednesday, June 18, 2014
Earlier this week
, we announced the limited preview of SSD persistent disk. SSD persistent disk gives you the same great features as Standard persistent disk but is backed by SSD so you get much faster IO performance—up to 30 IOPS per GB. On a per GB basis, this is 20x more write IOPS and 100x more read IOPS than Standard PD! Also, while performance on Standard persistent disk is generally very consistent, SSD persistent disk is designed to perform even more consistently; it is designed to provide 30 IOPS per GB if you follow
best practices
.
SSD persistent disk costs only $0.325 per GB per month. Like Standard persistent disk, there is no additional cost for I/O. With SSD persistent disk, there is no need to plan for IOPS or to balance cost concerns with performance goals.
SSD persistent disk has two major benefits for customers:
You can run your databases and file servers on Google Cloud Platform faster than ever before and move ever more demanding applications into Google Cloud Platform.
You now have a simple and cost effective solution for handling small amounts of data that need high IO. When your application is I/O constrained, SSD persistent disk gives you up to 59% lower costs for read-heavy workloads, and up to 92% lower costs for write-heavy workloads.
SSD persistent disk can help build faster and more cost effective cloud applications. "Our data suggests that storage represents 20% of overall cloud spend and up to 70% of the costs of a heavily loaded database tier,” said Sebastian Stadil, CEO of Scalr. “The extreme performance offered by the new SSD PDs, when coupled with their very low price and absence of fees per IO consumed, have made us accelerate our plans to move our workloads to Google Cloud Platform."
Please note the following details about using SSD persistent disk:
This storage offering is targeted at highly transactional systems. Your MySQL, PostgreSQL, Mongo, Cassandra and Redis should work incredibly fast. But, this is not targeted at streaming large files sequentially. Use Standard persistent disk for bulk data or data that is read and written to in sequential streams and High IOPS PD for your heavily transactional storage with more random access.
High IOPS counts 16KB IOs and lower as 1 IO. Larger IO sizes will count as multiple IOs. For example, a 128KB IO will count as 8 IOs.
For larger volumes, VM IO capabilities will limit how much IO can be expected from the volume. VM limits today for the larger VMs are 10,000 read IOPS, 15,000 write IOPS, 180 MB/s read and 120 MB/s writes. These are numbers we are working hard to increase as we further optimize our infrastructure. Stay tuned for more here.
To learn more about SSD persistent disk, please read the
documentation
. If you’d like access to the limited preview, please request access
here
. As always, please keep in touch and give us feedback on how things are working either through our
technical support
, the
Googe Compute Engine Discussion mailing list
or the
Google Compute Engine Stack Overflow forum
.
-Posted by Jay Judkowitz, Senior Product Manager
Free Trial
GCP Blogs
Big Data & Machine Learning
Kubernetes
GCP Japan Blog
Firebase Blog
Apigee Blog
Popular Posts
Understanding Cloud Pricing
World's largest event dataset now publicly available in BigQuery
A look inside Google’s Data Center Networks
New in Google Cloud Storage: auto-delete, regional buckets and faster uploads
Enter the Andromeda zone - Google Cloud Platform’s latest networking stack
Labels
Announcements
193
Big Data & Machine Learning
134
Compute
271
Containers & Kubernetes
92
CRE
27
Customers
107
Developer Tools & Insights
151
Events
38
Infrastructure
44
Management Tools
87
Networking
43
Open
1
Open Source
135
Partners
102
Pricing
28
Security & Identity
85
Solutions
24
Stackdriver
24
Storage & Databases
164
Weekly Roundups
20
Feed
Subscribe by email
Demonstrate your proficiency to design, build and manage solutions on Google Cloud Platform.
Learn More
Technical questions? Check us out on
Stack Overflow
.
Subscribe to
our monthly newsletter
.
Google
on
Follow @googlecloud
Follow
Follow