Readit Newshttps://www.congress.gov/bill/114th-congress/house-bill/5719
I think ironically to the bubble many of us live in the Silicon Valley, this was proposed by a Republican and passed in the House. Never made it in the Senate. A refreshing reminder good ideas still come from all slices of our political spectrum.
I think Quora was the first to do this: https://dangelo.quora.com/10-Year-Exercise-Periods-Make-Sens...
I personally think the status quo is insane, and I will never take another role with a options component of the package that does not have a policy like this.
"Amazon EC2 Instance scheduled for retirement"
When I checked the logs it was clear the hardware failed 30 mins before they scheduled it for retirement. EC2 and root device data was gone. The e-mail also said "you may have already lost data".
So I know that Amazon schedules servers for retirement after they already failed, green check doesn't surprise me.
They have a couple posts about "Schemaless", but I still don't understand why they used MySQL as the data store instead of something like Cassandra. ( https://eng.uber.com/schemaless-part-one/ ) From that post it looks like they basically built a no-sql database on top of a relational database.
The only reason given was operational trust ( "If we get paged at 3 am when the datastore is not answering queries and takes down the business, would we have the operational knowledge to quickly fix it?" ). The project took nearly a year to roll out, and in that time the operation knowledge could surely be trained, hired, or contracted.
There are really not a large number of options here anymore with the departure of FoundationDB from the market. CockroachDB might be an option in a few years, though I'm still confused why they are moving towards a SQL-ish vs key-value interface...
You can do some nice math functions for your alerts.
A couple of caveats. If you are coming from Nagios, this is a different worldview on monitoring. Like many other solutions commented here this is all based around metrics and their associated time series, and then you need to alert on those metrics. You ask the system questions with a time series query language.
Wavefront doesn't yet have a great solution for poll-based monitoring (i.e. hitting host Xs /healthcheck endpoint) so I still use terrible 'ol Nagios for that in my environment. However the rest of my work is all done in Wavefront - I'd say easily the high 90% of all my material alerts are done in wavefront with a small subset of work done in Nagios.
The killer feature here is the query language. I don't think there is anything else on the market that has its level of sophistication. I've had ex-Googlers on my team who "grew up" with Borgmon, which is in some sense the Ur-time series monitoring system and they loved it.
All this said, there are a lot of options about there. I have a strong bias against supporting my own complicated monitoring infrastructure. I want to focus on my own product. If you don't share that opinion or are on a super duper tight cash budget (but you do have time) than disregard the above ;)
[0] http://foxtrotalpha.jalopnik.com/the-cia-proved-that-a-boein...