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I'm not sure how effective it is to post these here, but I'm hopeful that having them in cyberspace will help keep me motivated. I'm hereafter calling these goals rather than resolutions The latter, to me, implies something that you begin immediately. This cold-turkey approach virtually guarantees failure. The moment you trip up, the subconscious immediately considers them a lost cause and reverts to the old behavior. As goals, I think it sets a more optimistic tone and allows me to gradually adapt the preferred conduct.

Without further ado, my personal list of goals for this year (in no particular order)...

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Somewhere between our first corrupt filesystem and an unlikely ascent to CTO, all Systems Administrators are taught to monitor their systems. We're trained to monitor the health of our computers and trend the usage for capacity planning and analytics. A Nagios is deployed; eventually complemented by Cacti; both of which are inevitably supplanted by Something Enterprise (TM). Services are checked, change is managed, and reports are reportified.

Have you asked yourself, what value does this offer my company? Perhaps you've correlated your database connection breakdown time with website load time. Or you noticed that the FULL backups on Sunday coincide with excessive packet loss on your Seattle firewalls. Besides buffing out some of the rough edges on your operational capabilities, how does this data work for you?

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Todd Hoff over at High Scalability takes a look at Reconnoiter. He went through the [currently] arduous task of installing and configuring it manually; setting up checks can be a hairy experience. But the end result seems to justify the initial pain. It's a very exciting (and useful) application that will only get better as the #noit devs continue to hack on it.

As an Ops guy over at OmniTI, I've been fortunate to watch Reconnoiter's incubation process. Theo Schlossnagle is probably one of the smartest guys in this industry and he gets scalability issues. We've batted around ideas about network trend and analysis tools before (e.g. NFDB) so naturally I'm anxious to see where Noit takes us.