spent the last couple days playing with @datadoghq. i like the event stream, LOVE the tight integration with chef roles and AWS tags.
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Replying to @mipsytipsy
having ASG awareness and service-level health checks baked in is superb. cannot even count how many times i've written that nagios check.
2 replies 0 retweets 2 likes -
Replying to @mipsytipsy
datadog chef cookbook ships with a rad set of sample configs, tho getting jmx to work is still a bitch (shocker). statsd works like magic
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Replying to @mipsytipsy
hand-crafting dashboards is a major pain in the ass. sigh. `dd-agent info` is astonishingly useless, at least output resource names plz??
1 reply 0 retweets 3 likes -
Replying to @mipsytipsy
tldr
@datadoghq is a way better nagios, but holy shit expensive as fuck. i HATE per-node pricing, since we lean towards more/smaller nodes10 replies 2 retweets 15 likes -
Replying to @mipsytipsy
we're only ~100 nodes, not sure i can swallow paying $1500/mo for the privilege of not running my own nagios, delightful as that may be
9 replies 2 retweets 11 likes -
Replying to @mipsytipsy
would it save you 1/5 of one ops engineer’s time/effectiveness, though (it sure does for us, esp. where devs build boards)
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Replying to @mendel
maybe. our product is exploratory metrics as a service, i'm mostly setting up dd as a sanity check for our shit.
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Replying to @mipsytipsy
Ooh. I like the sound of “exploratory metrics as a service”.
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Replying to @mendel
loosely based off the fb scuba whitepaper. https://research.facebook.com/publications/scuba-diving-into-data-at-facebook/ … was magical for us at parse after acquisition
1 reply 0 retweets 1 like
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