A bit more context there since you might wonder why customers can cause Sev1’s.

Well, I work for a Database Technology company and we provide a managed service offering. This managed service offering has SLA’s that essentially enforce a 5 minute response time for any “urgent” issue.

Well, a common urgent issue is that the customer suddenly wants to load in a bunch of new data without informing us which causes the cluster to stop accepting write loads.

It’s to the point where most if not all urgent pages result in some form of scaling of the cluster.

Since this is a customer driven behavior, there is no real ability to plan for it - and since these particular customers have special requirements (and thus, less ability to automate scaling operations), I’m unsure if there is any recourse here.

It’s to the point that it doesn’t even feel like an SRE team anymore - we should just instead be called “On-demand scaling agents”. Since we’re constantly trying to scale ahead of our customers.

All in all, I’m starting to feel like this is a management/sales level issue that I cannot possibly address. If we’re selling this managed service offering as essentially “magic” that can be scaled whenever they need then it seems like we’re being setup for failure at the organizational level. Not to mention, not being smart about costs behind scaling and factoring that into these contracts.

So, fellow SRE’s have you had to have this conversation with a larger org? What works for something like this? What doesn’t? Should I just seek greener pastures at this point?

P.S. - Posted c/Programming due to lack of a c/SRE

  • th3raid0r@tucson.socialOP
    1·
    1 year ago

    “Your application” - the customers you mean. Our DB definitely does it’s own rate limiting and it emits rate limit warnings and errors as well. I didn’t say we advertised infinite IOPs that would be silly. We are totally aware of the scaling factors there and to date IOPs based scaling is rarely a Sev1 because of it. (Oh no p99 breached 8ms. Time to talk to Mr customer about scaling up soon)

    The problem is that the resulting cluster is so performant that you could load in 100x the amount of data and not notice until the disk fills up. And since these are NVME drives on cloud infrastructure, they are $$$.

    So usually what happens is that the customer fills up the disk arrays so fast that we can’t scale the volumes/cluster fast enough to avoid stop-writes let alone get feedback from the customer in time. And now that’s like the primary reason to get paged these days.

    We generally catch gradual disk space increases from normal customer app usage. Those give us hours to respond and our alerts are well tuned. It’s the “Mr. Customer launched a new app and didn’t tell us, and now they’ve filled up the disks in 1 hour flat.” that I’m complaining about.