IT Operations has a Cultural Problem
blog.opdemand.com
IT Operations has a Cultural Problem
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Re: IT Operations has a Cultural Problem
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#6So, what's the right option there?
Re: IT Operations has a Cultural Problem
#7If my local server providing a vital service goes down, I catch hell. If my cloud server providing a vital service goes down, I catch hell and can't do anything about it except bitch at customer service who has their own set of priorities and a TOS protecting them from any meaningful action on my part. So, what's the right option there?
Outages at serious cloud providers like AWS are usually restricted to availability zones, though there have been a few high profile exceptions where entire regions were affected. In general though, with AWS you can redeploy your server rapidly if you have your infrastructure blueprints kept as code, and your data backed up to EBS snapshots or S3.
Just this week I had a high-traffic Wordpress blog shit the bed on EC2/RDS. Using the tools we built at OpDemand, I was able to clone the platform and get it back up and running in < 60 minutes without any HA. I think < 60 min recovery time is probably a stretch for most on-premise environments..
Re: IT Operations has a Cultural Problem
#8Re: IT Operations has a Cultural Problem
#9A few of the responses here are snarky and understandably so considering the author's reasons for this post, yet the problem remains. How does cloud computing fall within the traditional IT ops model? Anecdotally I've worked for a large city and they're still a little hesitant of cloud computing because they see it as a threat to their employees. I'm not sure how it'll shake out but they'll move towards cloud computi…
The cultural problem can also be framed as a transition from a server-centric operations model to an application-centric one -- something James Urquart wrote a great post about for GigaOM: http://gigaom.com/cloud/what-cloud-boils-down-to-for-the-ent...
Re: IT Operations has a Cultural Problem
#10This is a cycle. If the management of the Operations organization is measured based on reducing downtime they control what they can, Release & Change Management. This kills frequent small releases, so development teams have to build big releases. If management in development organizations are measured mostly by delivering on schedule they cut scope. You end up w/ development organizations delivering the minimum to ensure they meet the project mostly artificial timelines for huge releases. Suggesting small frequent releases sounds good to development (assuming they can reduce the operational paperwork associated w/ releasing), but jeopardizes Operation's control of stability so Operation's resists it. Suggesting that more get delivered in each huge release jeopardizes Development's ability to meet project deadlines because there is so much unknown and the commitment is expected up front, a quarter or more (I've seen 18 months) in advance.
There are reasons for all of this; it's not bad people, just a consequence of large organizations. Reducing downtime reduces costs because you can cut support staff. Delivering on time increases productivity because code that isn't being used is useless code.