diff --git a/doc/high-availability-guide/ch_intro.xml b/doc/high-availability-guide/ch_intro.xml
index 7e6f65c636..4e60f5f3c0 100644
--- a/doc/high-availability-guide/ch_intro.xml
+++ b/doc/high-availability-guide/ch_intro.xml
@@ -10,7 +10,7 @@
High Availability systems seek to minimize two things:
- System downtime — occurs when a user-facing service is unavailable beyond a specified maximum amount of time, and
+ System downtime — occurs when a user-facing service is unavailable beyond a specified maximum amount of time.
@@ -43,7 +43,7 @@ Facility services such as power, air conditioning, and fire protection
Most high availability systems will fail in the event of multiple independent (non-consequential) failures. In this case, most systems will protect data over maintaining availability.
- High-availability systems typically achieve uptime of 99.99% or more, which roughly equates to less than an hour of cumulative downtime per year. In order to achieve this, high availability systems should keep recovery times after a failure to about one to two minutes, sometimes significantly less.
+ High-availability systems typically achieve an uptime percentage of 99.99% or more, which roughly equates to less than an hour of cumulative downtime per year. In order to achieve this, high availability systems should keep recovery times after a failure to about one to two minutes, sometimes significantly less.
OpenStack currently meets such availability requirements for its own infrastructure services, meaning that an uptime of 99.99% is feasible for the OpenStack infrastructure proper. However, OpenStack does not guarantee 99.99% availability for individual guest instances.
Preventing single points of failure can depend on whether or not a service is stateless.