It’s insane that even with all of their HA and failover turned on they take the whole cluster down for as long as they like every few months!
It’s insane that even with all of their HA and failover turned on they take the whole cluster down for as long as they like every few months!
To an engineer, things are things, because of how they architect and build them.
To an engineer who understands a customer, things are things and all the things people actually use them for. Big difference.
It also makes "Well, that customer is using it wrong" less of an exceptable engineering dodge.
I haven't worked inside AWS or GCP, but I've never seen product get everything they want, especially around maintenance/downtime. If "less downtime" is on the roadmap but engineering is constantly pushing back "that'll be really really hard and take a long time and they're just using it wrong anyway," I can't imagine it getting done as quickly as at a place where the engineering team was also focused on customer satisfaction.
It probably is hard and intensive. Engineering shouldn't lie and promise that it will be easier. Product has to take that engineering estimate and determine whether to work uptime or some sexy feature (and sexy features usually win because of perverse incentives).
Moreover, I have a hard time believing this for a couple reasons: first of all, I've scarcely met engineers who were opposed to improving product reliability, maintainability, etc. The portrait of Google engineers arguing that database services fundamentally shouldn't be HA (and customers are "using it wrong" for wanting HA DBs) is particularly incredulous. Secondly, I've never heard of an organization where engineering held political power over product decisions, but I have worked in several places where product dictated engineering solutions. Businesses trust product more readily than engineering because the things that engineering is always petitioning for are abstract and "costly" (deferring some immediate profit for reduced costs in the long run) while the things product wants are usually tangible and profitable.
If product has PM or financial incentives that reward without regard to technical debt...
If engineering has PM or financial incentives that reward without regard to user experience...
If you want people to cooperate, set up shared, team-based incentives!
Behavioral properties are end-to-end, like speed, security, customer success, uptime, etc. Everyone and everything on the hotpath for that has to be on board, as just one violator means nobody is achieving it. Operationally, part of achieving that means company norms, such as when collaborating, planning, executing, etc.
It's 100% fine not to provide any of these, and is even reasonable given it's hard to change one's DNA end-to-end... but better to be an explicit decision. Likewise, if starting a company... a lot easier to pick & ingrain these habits ahead of time.
Sure, you can have zone-redundant Azure SQL Databases, but not Azure App Service!
You can have zonal Azure App Service, but with a different network model than the default, so it's a breaking change for some apps.
It's as if nobody has actually sat down at Microsoft to build something similar to what their customers are building. It's all just tech demos, "get your blog hosted in 5 easy steps", and crap like that. Nobody at Microsoft has ever built anything of substance with the majority of their own platform.
It was the same story with Windows Presentation Foundation (WPF). It was hot garbage when it was first released, but Microsoft kept telling all their partners to prefer it over the legacy GDI+. People tried and failed to write GUIs in it. When after many years Microsoft finally tried to convert Visual Studio to WPF -- the first time they had used their own framework for one of their own apps -- magically the core issues were fixed and WPF become viable for real apps.
In general, Microsoft, Google and others are behaving really enterprise-y in that they are slow, you cannot reach anybody of importance to solve massive issues with their products and everything is actually quite expensive for what it does.
Which is fine. It can just be a little confusing as they drift and the caveats grow.
Current Aurora Postgres is compatible with pg 12.4; pg 10+ support has been around so long that several versions that support 10+ have already been EOL’d by Amazon. Even Serverless, which lags behind, is on 10.x.
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide...
NO, RDS includes non-Aurora versions of many DBs, plus MySQL and Postgres-compatible Aurora servers, plus MySQL and Postgres compatible Aurora Serverless.