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1. Because it is a very different thing to have an internally managed cloud than it is to offer this as a product with the massive support required for enterpri

1. Because it is a very different thing to have an internally managed cloud than it is to offer this as a product with the massive support required for enterprise, something that Google has never put much resource into. Amazon and MS have vast support networks because enterprise wants to feel like they have some control and feedback on their systems. Also, unless you can innovate in the space (or go really cheap), why would I ever choose a smaller player over a larger one? This is another example of the problem these rich companies have where cash is not a problem but identity and direction is.

pmart123 8y ago
I completely agree with this. But, also in think Google does have some advantages. Out of the box, their NLP algorithms seem much better than AWS’s offering. They also offer custom search as an api. I haven’t used it, but bigquery seems very good. I do agree these are probably not enough to have an enterprise shift. Maybe if they specialize on a couple industries that won’t choose amazon (fedex, ups, target, Walmart, streaming/media). It does seem like google has made strong inroads in finance as well.
halbritt 8y ago
There are technical reasons. Azure is doing quite well leveraging Microsoft's existing enterprise relationships. I'm not sure how much success folks are having "lifting and shifting" their Microsoft infrastructure into the cloud, some, maybe? However, everyone that I've heard of that understands cloud native type architectures that has attempted to deploy into Azure is looking to leave.
- colemickens 8y ago
  >However, everyone that I've heard of that understands cloud native type architectures that has attempted to deploy into Azure is looking to leave. Extremely unsurprising, but I'd be interested to read more.
  - halbritt 8y ago
    Kind of ignored this because it's a long list of stuff. I don't really want to repeat stuff that I've "heard". Friend of mine does consulting for a few big orgs, and he tells me that things are bad enough that many of his customers are looking to move in spite of being heavily subsidized by Microsoft. He mentioned numbers like >$1m in credits. Unfortunately, my friend isn't very technical so when I press him on details, I get very little. However, that correlates pretty closely with my own personal experience. I've worked with a fair bit of the Azure products and it feels to me very much like a work in progress. The identity management stuff has been a moving target since day one. That is, how to authorize against the service itself. This is apparent in many of the Python libraries where this is documented. The Python libraries that I've seen look like they were produced by interns. I'm performance with ADL is pretty rough. My main goal with Azure was to deploy Kubernetes clusters there. The list of problems is very long and has been documented ad nauseum in many Medium articles. In the 14 or so months I've been working with Azure, it hasn't improved as quickly as I'm accustomed to with AWS and GCP. A year ago, I shifted the majority of my production infrastructure from AWS to GCP. By comparison to Azure, I was pleasantly surprised with the quality of the products from GCP. My company uses GSuite which made identity management and RBAC a breeze. The GKE product is way, way better than anything else, and there are a handful of things that I like better than AWS. I wouldn't encourage anyone to shift from AWS unless they were planning a large Kubernetes implementation. I would encourage folks to try GCP and especially GKE to get a sense of the differences. There's nothing about Azure that I've discovered yet that would cause me to recommend it to anyone. It's possible that if a company had a heavier investment in MS products that it might be worthwhile, but that's not the case for mine. We only ever use MSSQL occasionally for development purposes and I've found that I can spin up an instance of that quite nicely in k8s with the Microsoft authored helm chart.

pmart123 8y ago

I completely agree with this. But, also in think Google does have some advantages. Out of the box, their NLP algorithms seem much better than AWS’s offering. They also offer custom search as an api. I haven’t used it, but bigquery seems very good. I do agree these are probably not enough to have an enterprise shift. Maybe if they specialize on a couple industries that won’t choose amazon (fedex, ups, target, Walmart, streaming/media). It does seem like google has made strong inroads in finance as well.

halbritt 8y ago

There are technical reasons. Azure is doing quite well leveraging Microsoft's existing enterprise relationships. I'm not sure how much success folks are having "lifting and shifting" their Microsoft infrastructure into the cloud, some, maybe? However, everyone that I've heard of that understands cloud native type architectures that has attempted to deploy into Azure is looking to leave.

colemickens 8y ago
>However, everyone that I've heard of that understands cloud native type architectures that has attempted to deploy into Azure is looking to leave. Extremely unsurprising, but I'd be interested to read more.
- halbritt 8y ago
  Kind of ignored this because it's a long list of stuff. I don't really want to repeat stuff that I've "heard". Friend of mine does consulting for a few big orgs, and he tells me that things are bad enough that many of his customers are looking to move in spite of being heavily subsidized by Microsoft. He mentioned numbers like >$1m in credits. Unfortunately, my friend isn't very technical so when I press him on details, I get very little. However, that correlates pretty closely with my own personal experience. I've worked with a fair bit of the Azure products and it feels to me very much like a work in progress. The identity management stuff has been a moving target since day one. That is, how to authorize against the service itself. This is apparent in many of the Python libraries where this is documented. The Python libraries that I've seen look like they were produced by interns. I'm performance with ADL is pretty rough. My main goal with Azure was to deploy Kubernetes clusters there. The list of problems is very long and has been documented ad nauseum in many Medium articles. In the 14 or so months I've been working with Azure, it hasn't improved as quickly as I'm accustomed to with AWS and GCP. A year ago, I shifted the majority of my production infrastructure from AWS to GCP. By comparison to Azure, I was pleasantly surprised with the quality of the products from GCP. My company uses GSuite which made identity management and RBAC a breeze. The GKE product is way, way better than anything else, and there are a handful of things that I like better than AWS. I wouldn't encourage anyone to shift from AWS unless they were planning a large Kubernetes implementation. I would encourage folks to try GCP and especially GKE to get a sense of the differences. There's nothing about Azure that I've discovered yet that would cause me to recommend it to anyone. It's possible that if a company had a heavier investment in MS products that it might be worthwhile, but that's not the case for mine. We only ever use MSSQL occasionally for development purposes and I've found that I can spin up an instance of that quite nicely in k8s with the Microsoft authored helm chart.