Remove 2004 Remove Efficiency Remove Hardware Remove Latency
article thumbnail

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. Readers of this blog properly have a pretty good idea what ‘efficient transactions’ and ‘fast metadata operations’ are all about.

Storage 64
article thumbnail

Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

Amazon DynamoDB offers low, predictable latencies at any scale. A number of outages at the height of the 2004 holiday shopping season can be traced back to scaling commercial technologies beyond their boundaries. s read latency, particularly as dataset sizes grow. Another important requirement for Dynamo was predictability.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. © ​​ 2004 Microsoft Corporation. ​​ All rights reserved.

Servers 40
article thumbnail

SQL Server I/O Basics Chapter #2

SQL Server According to Bob

KB ​​ boundaries efficiently. ​​ Although ​​ SQL Server ​​ tries ​​ to use the log space as efficiently as possible, ​​ certain application patterns cause the log-block fill percentages to remain small. ​​ This creates 8?KB

Servers 40