Blog Entry
My son just turned 20 months old. It’s funny how at that age we measure age in so much detail, rather than just saying he’s almost two. Nevertheless at this age his little brain is developing at an amazing pace. As such he’s reached what some have described to me as the most terrible phase of life… the “What’s that?” and “Why?” stage. Everywhere we go and everything he sees, he’ll inevitably ask me “Dada what’s that?” and if my explanation doesn’t satisfy him he follows up with a “Why Dada?”
The lesson I’ve learned from him is to take a minute before I answer him, and think about how to tell him in language that he understands what things are, and most of the time why he shouldn’t play with them.
I’ve also taken this same lesson to heart in my day job as well.
I’ve done a lot of work in disaster recovery. As such I tend to take for granted that people will care about things like RTO and RPO, or replication frequency. The reality is most people do not. That’s because most people don’t understand these things. In a sense they’re like my son.
So when it comes to disaster recovery I thought I’d put the topic in better context with something that everyone understands. Numbers.
Here are a couple big ones; According to Forrester in 2009 disasters were at the root of almost $41B or economic loss. Wow. The US alone accounted for almost $11B of that number.
So at a macro level clearly disasters happen, and disaster recovery probably deserves some examination.
At an administrator level, I think most IT people have a gut feeling for how valuable or how important the different areas of the datacenters they manage are. But has this been communicated, or quantified by the users and application owners?
Allowable Downtime for Workloads:
| Required Availability | Required Uptime hours/year | Allowable Downtime /year |
|
90% (0.9)
|
7889.4
|
36.525 days
|
|
99% (0.99)
|
8678.34
|
3.6525 days
|
|
99.9% (0.999)
|
8757.23
|
8.766 hours
|
|
99.99% (0.9999)
|
8765.12
|
52.596 minutes
|
|
99.999% (0.99999)
|
8765.91
|
5.2596 minutes
|
Using this simple uptime/downtime chart are your users able to tell you the dollar cost impact these service levels might translate in to? If your order processing application as an example was classified as having three ‘9s’ of importance, how many transactions do you expect would be lost or delayed, and what does that cost if you allowed for 8 hours of downtime?
I think these are important conversations to have.
Maybe that chart can give you a start.
Disclaimer: As with everything else at Cool Solutions, this content is definitely not supported by Novell (so don't even think of calling Support if you try something and it blows up).
It was contributed by a community member and is published "as is." It seems to have worked for at least one person, and might work for you. But please be sure to test, test, test before you do anything drastic with it.
Related Articles
- Monthly Market Update: Cloud Archiving | June 2010
- Empowering your Business – Introducing our new Partner communications in EMEA
- Empowering your Business – Introducing our new Partner communications in EMEA
- March 11, 2007: Ready or not, here it comes. Let ZENworks Patch Management Help you Spring Forward
- Go from zero to cloud in minutes, not months!
User Comments
- jasondea's blog
- Be the first to comment! To leave a comment you need to Login or Register
- 3453 reads


0