Many ways where GCP excels over AWS
medium.com
medium.com
Amazon overall has done an excellent job on documentation. It's made easier by the fact that they rarely change API behavior once it's deployed.
Cloud administration is inherently complex. If you are doing anything interesting you'll be managing configuration through tools like Terraform and Ansible. Also, if you don't understand virtual networking on your particular cloud you are going to have problems even there. Any cloud service that gives you good control over networking is by definition going to require effort to configure properly.
Try a google image search and you will see some examples. There are lots of menus and visualization so you obviously want to try the tool for yourself.
That kind of stuff sticks with you and you know that during an emergency or outage you're going to be battling the UI as well as the underlying problem.
Needless to say we didn't proceed.
AWS might feel a little 2010, but at least I know the control panel is responsive and works. No fluff.
Also I enjoy that GCP has gRPC support.
Azure App Services and SQL database arrives a 1-2 punch for enterprises moving their apps to a PaaS that just works.
Azure is fractally off-kilter.
aws excels at giving you the building blocks and making sure those building blocks work.
unless you’re working at a small scale that’s what you want.
for all the crap aws gets, the documentation is there, the tutorials are there, the services make sense.
gcp is probably going to be around for a while, but i would not bet the farm on it.
in the cloud, today, it’s either aws or azure
but UX goes beyond just clicky bits on the web. It's also stuff like "does your service take JSON as input and output JSON or XML?". "are critical fields well-named?", "is documentation for your endpoints well-structured and easy to comprehend" which, if the UX is poor, makes your IAC much much harder to reason about when things go wrong.
Live migration can help you in that case.
2. if you want to run your own you’d better know how HA setups work and you can lose at least a machine at ANY point in time (not just when AWS warns you the hardware is failing)
Just this week I updated an EKS cluster from 1.15 to 1.16 with two clicks.
1. AWS having been around longer, and having been vastly bigger and more widely used than GCP for the entire lifespan of both products. AWS is just more expansive/evolved from having piled on more features for more customers over more time.
2. AWS virtually never makes backward-incompatible changes. Every feature of every service and every version of every API since its inception is still functional and presumably will remain that way forever (with a very minimal list of exceptions). So while it's certainly easy to imagine how the entire thing could be streamlined from a blank slate, it's just not how AWS operates.
Meanwhile, Google is absolutely notorious for wantonly EOLing products; see: https://killedbygoogle.com/. Besides the extensive list consumer products (RIP Reader), there are quite a few examples of APIs and cloud services that have been axed. I'm not very familiar with how/if GCP specifically has been impacted by this trigger-happy EOLing, but frankly I think you'd have to have a huge appetite for risk to trust that GCP is not going to pull the rug out from under your business on a whim.
The upside of the never-make-backwards-incompatible-changes approach is that as a customer, I don't have to worry about proactively monitoring for breaking changes to my applications/infrastructure and pre-emptively emergently refactoring/re-architecting them to avoid downtime. I have various little AWS CLI scripts that have been running untouched for years, and they still work. That's a tremendous timesaver and cost-saver whether you're just doing side projects for fun or running enterprise IT.
The downside to this approach is that the product as a whole is an ever-growing spiderweb-snowball of complexity, by design. While some new services/features get added as simplified alternatives to existing offerings (i.e. Amplify, Lightsail), they still exist in an ocean of cruft, and it takes some level of expertise just to be aware of their existence and tease out exactly what aspects they simplify and how they interface with the rest of the ecosystem. If and how AWS resolves this problem dynamic over time remains to be seen; it certainly is a pretty big Catch-22 from a high-level perspective.
So, in short, while GCP is inarguably a more streamlined and user-friendly platform today, it is a bit naïve to make a blanket comparison to AWS on this basis. There are good reasons why AWS is the way it is, and I wouldn't necessarily bet on GCP maintaining its comparative sleekness over time as it may eventually fall prey to the same problems. (Nor would I bet against them avoiding/solving these problems either - there are a lot of very smart people at Google.)
afaics its called cloud talent in the console now
[0] https://en.wikipedia.org/wiki/Amazon_SimpleDB#Relationship_t...