Despite all of the snark here, in my experience Salesforce SRE team is quite competent. The engineering challenges of running a large PaaS - not just with own apps, but with millions of customer-written apps running on it - are quite interesting, and sadly things happen. The status page makes sense to actual customers, it's the particular "pods" where a given service runs.
Hacker News is much easier to read when you realize that 95% of people have never worked on a "high" (maybe we could say >1B requests per day as a starting point) scale distributed service and think it's trivial to run one with more than 2 nines. You see comments all the time here mentioning that their own desktop at home is achieving more than that which belies deep misunderstanding of how systems are measured. Or that unofficial github status page repeatedly posted here that counts all github services together into one number.
I think you are missing the point. When I state my Exchange server is more reliable than Exchange Online, I don't think I'm a better engineer. I recognize Microsoft has harder problems to solve than I do. I think building overengineered, oversized SaaS environments is introducing extreme risk. It's an inherent flaw of the current approach.
Smaller is, in fact, better, because it's easier to operate reliably.
Is it? When your internet is out for five days because your ISP takes a few days to get to you, do you acknowledge that you're now at 98.5% availability for the year, far worse than any SaaS email service?
I think people forget that those large environments are there for a reason. To make sure the service stays up in the face of problems outside your own control.
In my entire adult lifetime (mid 40s), my ISP has never been out for five days. Compare to Github, Microsoft, Salesforce, and AWS outages that are always occurring in some fashion. Reddit is down constantly in various ways and still continues to operate as a business, public no less, so I disagree about the need to chase five nines and broadly speaking, large distributed systems that are potentially unnecessary for the use case and target outcome.
Consider yourself lucky that you’ve never been the victim of a fiber cut. But what about if the power to your house goes out? Or what if your server blows the power supply?
My entire point is that you have no redundancy in your system and you also aren’t big enough to have any pull with the vendors who can fix these types of outages so you’re basically at the mercy of your providers with no recourse.
That’s why these systems are built the way they are.
And generally four nines is considered the gold standard these days. I can tell you for sure that both Netflix and Ebay would lose money anytime they drop below four nines because I have at some point been responsible for both. You’re correct that Reddit has a lot more leeway and outage time before they start losing money but not that much leeway.
> That’s why these systems are built the way they are.
Built how? Because I can state with confidence that I have cleaned up a ton of failed upgrades/zombie terraform deploys of these serverless kubernetes wonders that followed every best practice under the sun, and these things are not really considered even moderately reliable (as designed by imperfect mortals under real world conditions), meanwhile professionally, people who stand to lose a lot of money should their systems go down generally operate systems whose architectures were designed decades ago, are generally horizontally scaled monoliths, and are extremely conservative in software choice.
Also downtime often is no biggie, as long as it's planned and or don't lose (too much) customer critical data.
Like nodobody cares if your test db cluster goes down for the weekend. We even shut down our db instances to save money.
stmw · · focus · HN ↗
Anon1096 · · focus · HN ↗
ocdtrekkie · · focus · HN ↗
I think you are missing the point. When I state my Exchange server is more reliable than Exchange Online, I don't think I'm a better engineer. I recognize Microsoft has harder problems to solve than I do. I think building overengineered, oversized SaaS environments is introducing extreme risk. It's an inherent flaw of the current approach.
Smaller is, in fact, better, because it's easier to operate reliably.
jedberg · · focus · HN ↗
I think people forget that those large environments are there for a reason. To make sure the service stays up in the face of problems outside your own control.
toomuchtodo · · focus · HN ↗
<a href="https://hn.algolia.com/?dateRange=all&page=0&prefix=false&query=%22is%20down%22&sort=byDate&type=story" rel="nofollow">https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
jedberg · · focus · HN ↗
My entire point is that you have no redundancy in your system and you also aren’t big enough to have any pull with the vendors who can fix these types of outages so you’re basically at the mercy of your providers with no recourse.
That’s why these systems are built the way they are.
And generally four nines is considered the gold standard these days. I can tell you for sure that both Netflix and Ebay would lose money anytime they drop below four nines because I have at some point been responsible for both. You’re correct that Reddit has a lot more leeway and outage time before they start losing money but not that much leeway.
torginus · · focus · HN ↗
Built how? Because I can state with confidence that I have cleaned up a ton of failed upgrades/zombie terraform deploys of these serverless kubernetes wonders that followed every best practice under the sun, and these things are not really considered even moderately reliable (as designed by imperfect mortals under real world conditions), meanwhile professionally, people who stand to lose a lot of money should their systems go down generally operate systems whose architectures were designed decades ago, are generally horizontally scaled monoliths, and are extremely conservative in software choice.
Also downtime often is no biggie, as long as it's planned and or don't lose (too much) customer critical data.
Like nodobody cares if your test db cluster goes down for the weekend. We even shut down our db instances to save money.