Google Cloud products in 4 words or less
cloud.google.com
cloud.google.com
Mobile (Firebase)
* Cloud Firestore: Document store and sync
* Cloud Functions for Firebase: Event-driven serverless applications
* Cloud Storage for Firebase: Object storage and serving Crashlytics: Crash reporting and analytics
* Firebase A/B Testing: Create A/B test experiments
* Firebase App Distribution: Trusted tester early access
* Firebase Authentication: Drop-in authentication
* Firebase Cloud Messaging: Send device notifications
* Firebase Dynamic Links: Link to app content
* Firebase Extensions: Pre-packaged development solutions
* Firebase Hosting: Web hosting with CDN/SSL
* Firebase In-App Messaging: Send in-app contextual messages
* Firebase Performance Monitoring: App/web performance monitoring
* Firebase Predictions: Predict user targeting
* Firebase Realtime Database: Real-time data synchronization
* Firebase Remote Config: Remotely configure installed apps
* Firebase Test Lab: Mobile testing device farm
* Google Analytics for Firebase: Mobile app analytics
* ML Kit for Firebase: ML APIs for mobile
I would say the general idea behind Firebase is that it is designed to build fully functional applications without any additional components. E.g. you could serve your static web app using Firebase Hosting, manage users with Firebase Auth, use Firestore for data storage (the syncing features of Firestore are truly amazing if you're not familiar with them), and tie things together with Cloud Functions. Also, note that while Firebase was originally pretty heavily focused on mobile, especially native mobile, most of their services work great on the web regardless.
The other thing about Firebase (referencing the previous comment about it being a little weird as a "Cloud in a Cloud"), is that it essentially exists on top of GCP. For example, a Firebase Project is really a GCP project under the covers, Cloud Functions for Firebase are really some syntactic sugar on top of GCP functions, etc. While that can be a little confusing at first, it can provide some great value. We have apps where most of our backend is in GCP (e.g. running Node in App Engine Flexible, using Cloud SQL Postgres for our DB, using Cloud PubSub topics for our eventing system, etc.) but then we use Firebase Auth for our user authentication, Firebase Hosting to serve our React app, etc.
Yes, I'm a definite Firebase fan boy, but that's because I feel like I can be so productive with it, without needing to worry much about underlying infrastructure, while still being easy to integrate with the horsepower of GCP.
Disclaimer: I work for Google Cloud.
There seems to be a general fear about Google potentially killing off a product, based on recent history [1]. Now I know most of these are on the consumer side of things, but you can imagine people's concerns if the same thing started happening to Google Cloud products. Is the GCP team aware of these concerns, (or is this just a HN crowd concern) and if so, are there steps being taken to address this perception head on?
[1] https://www.bloomberg.com/news/articles/2020-07-07/google-de...
(Google Cloud employee here)
That doesn't help the smaller developers though - you just have to hope that Deutsche Bank wants the same things you do, which is.... unlikely.
Which means they may or may not do a good job of feature prioritization, but it's not always "whatever (big customer) wants."
FWIW, when I worked for a larger GCP customer, they seemed fairly decent at hearing about and addressing concerns. I realize cloud functionality (especially interfaces) is accreted over the years, and can't be delivered all at once.
A contract like Deutsche Bank means dedicated GCP customer engineers, professional service engagements at the highest levels, direct conversations with individual product leaders/managers, roadmaps conveyed to their needs, alphas etc etc.
If it's irrelevant to the Deutsche Bank's of customers, then it's of course fair game to get f'd with.
And the products won't go anywhere.. for Deutsche Bank. This is common for enterprise contracts. It means jack shit for consumers.
Is that really true? I don't have a lot of experience with Firebase, just notifications and analytics, but working with Cognito and Amplify one- two years ago was like a bad joke, more similar to a fledgling startup than a well-rounded offering.
It rather seems to me that a lot of organisations are moving to GCP; BigQuery and its integrations with other Google products seems like a killer app, and GKE is seen as the better choice for hosted Kubernetes.
I'm still a fan of Red Hat's OpenShift, but I'm actually surprised how well Google seems to be managing their {S,P,I}aaS offerings and strategy in this space.
I should have known better though. Like I said, I've been through a lot of Google shutdowns and various screw jobs (remember the Google App Engine price hike?).
AWS is a professional product. It has warts but it's much more solid than GCP, technically and from a business perspective.
† Except search, email and phone.
We updated to working versions, but support kept telling us we were using the old one. Turns out they didnt update the dataflow runtime, which they own and we cant inspect or update, and they were reporting it to us for us to fix...
https://cloud.google.com/network-connectivity/docs/vpn/depre...
Here's a take from an ex-googler:
https://medium.com/@steve.yegge/dear-google-cloud-your-depre...
What, exactly? AWS is legendary for maintaining compatibility. Steve Yegge's article gives a good break down on how infamous GCP's deprecation practices are.
I was lucky in that GCP killed off the feature I wanted before I ever used it, so I didn't have to get burned in production. AWS has never burned me. (GCP used to have a service to do transformations on images in object storage, which I learned about in an App Engine book. It took me a few hours of searching to even find the deprecation notice. Now I just use https://github.com/awslabs/serverless-image-handler because I don't trust GCP).
We can't even be sure whether GCP itself will be around in 3 years:
> In early 2018, top executives at Alphabet debated whether the company should leave the public cloud business, but eventually set a goal of becoming a top-two player by 2023, according to a report from The Information on Tuesday. If the company fails to achieve this goal, some staffers reportedly believe that Alphabet could withdraw from the market completely. [1]
That's disputed and is not hard data, but there's not any positive reason to believe that GCP will exist after 2023 either.
[1] https://www.cnbc.com/2019/12/17/google-reportedly-wants-to-b...
What evidence are you referring to here?
That alone is more than enough to substantiate what I'm saying, but if you need more examples than just search or read HN a bit, due diligence, etc. I was personally lucky in that I got burned in the planning stages and didn't have to get burned in production, but I still wasted all that planning time and ended up having to use AWS instead.
GCP doesn't seem to provide a full list of deprecations, but the list for just one service[1] is pretty terrifying when you consider that your app might depend on two or three dozen services, and a deprecation in just one of them forces you to rewrite perfectly good code. A cursory search reveals a number of reports of being repeatedly bitten by deprecations[2][3][4], so no one should be mislead by the dismissals here. [2] has a good cautionary tale of a forced "upgrade" leading to potentially much greater cost.
[1] https://cloud.google.com/appengine/docs/deprecations [2] https://nilsnh.no/2019/11/09/managing-the-google-cloud-platf... [3] https://www.slideshare.net/async_io/lessons-learned-from-bui... [4] https://www.lastweekinaws.com/podcast/aws-morning-brief/whit...
I do think Google Cloud is trying to do better and the few deprecations I’ve seen personally have been heavily scrutinized and considered, with a clear migration path for users. I was only asking for data to objectively understand the problem as it stands today, and not to minimize your own experience. I know there are experiences similar to yours, but hopefully there are far fewer in recent years (but its always hard to tell without data).
Disclaimer: I work for Google Cloud.
"Google cancels everything" is a meme, but AWS releasing broken pre-alpha products, letting old ones rot on the vine, and having crazy monetization schemes that are utterly inconsistent with marketing is not a meme, even though they do these things all the time. If GCP wants to win, they need to fix that, because "will I be blamed for the next shitshow" is the key question on every architect / purchasing manager's mind, and right now AWS is winning that battle to a degree that they do not remotely deserve because google is just MIA.
Hell, Google could coordinate with Walmart to hit AWS and Amazon at the same time because there is clearly, shall we say, a degree of cultural continuity between the Amazon and AWS business units.
"Let me get this straight, Google canceled a service and you didn't see it coming?"
^ this needs a comeback.
"Let me get this straight, you ran into another AWS scaling limit and you didn't see it coming?"
or something.
That was an instructive project - building the same service in three clouds tells you a lot both about:
- The quality and completeness of foundational services (identity, networking, compute, storage)
- The tooling ecosystem (the quality of the Packer builders and Terraform providers [1] in our case)
- How helpful (or existent) support is, which ranged from an account manager telling us up-front “here’s the way to avoid hitting limits for your design” to not being able to talk to a human at all throughout the entire project, and thus having to phase in beta customer onboarding for that cloud because of the arbitrary limits.
At some point that team should write a full retrospective on this.
[1]: Disclaimer - I have worked on both Packer and Terraform in the past at HashiCorp.
Technically:
- Google has the most reliable network, compute and storage (for a given size).
- AWS has the only comprehensible security model for identity, although it's still not complete (e.g. I can't grant a role assigned to an instance profile permission to `DescribeInstances` for itself only). I strongly believe IAM is the crown jewel of AWS, - but wish it would be completed to it's own potential.
- Google has the best "organisations" structure overall, though AWS Organisations is vastly improved over what it used to be.
- Azure's model for network peering between networks in different tenants is complete crazy town and will certainly result in outages when a customer disables the service account required to maintain it.
- Provisioning times in Azure are wildly variable - provisioning a VM with the same image in the same zone often had minutes of difference between fastest and slowest. The other two are much more consistent.
- The Terraform provider for Google is missing many data sources, and almost every type of resource we used needed patching in some important way.
- We had to build "surrogate" Packer builders for Google and Azure to make automation of scratch-build ZFS-on-root Ubuntu images with our platform customisations. I built the AWS version of that builder originally, so that was not much of a surprise.
From a support perspective:
- AWS and Azure were very willing to work with us in getting our service up and running even though we weren't spending a huge amount in the development phase, and it was easy to get in touch with someone to explain what we were doing and request advice.
- It was impossible to speak to a human at Google. Experiencing the kafkaesque automated account policies (e.g. "you can have enough cores to actually bring up a database cluster when you pay your invoice but we haven't issued an invoice yet because your account isn't a month old, and no despite being a company with a multi-year trading history you can't just put money on deposit to prove trustworthiness") actually prompted me to move my personal accounts off GSuite in case a problem ever arose.
Sadly the technical excellence of GCP in several important areas did not (for me) make up for the fact that they are impossible to work as a small business doing something that is not strictly happy path.
It's been a minute since I worked with AWS, but they have tons and tons of products. On the order of two, maybe three times as many.
The basic stuff like VMs, storage, networking, and managed postgres/mysql SQL databases are close, but the specialized services can be very different when you look at them closely.
int x; // variable x stores ints
It supports ranking, and you can even assign 1, 2, or 3 votes for a specific issue depending on how important it is to you.
Of course, this doesn't matter, because this is just where customers are told to go complain by support. It's like telling an upset child to shout at a wall to get their "feelings out".
A casual stroll through the list of suggestions will quickly uncovers hundreds and hundreds that would be a trivial fix, but has a huge impact on customers. Some of these have languished for years with either no feedback or "WONTFIX".
Azure Active Directory in particular has some shocking open issues.
My favourite is that you can't stop an App Service so that it stops spending money! You can only delete it. If you downgrade it to the Free tier, that removes features by wiping and corrupting you configuration. This keeps coming up over and over, and the response is: "We don't want to, shh, go away"
https://feedback.azure.com/forums/287593-logic-apps/suggesti...
https://feedback.azure.com/forums/169385-web-apps/suggestion...
https://feedback.azure.com/forums/169385-web-apps/suggestion...
https://feedback.azure.com/forums/169385-web-apps/suggestion...
The next best one is that the Portal team absolutely refuses to implement a default region option in the GUI, forcing 100% of their GUI users to click through that unnecessary extra selection every single time.
https://feedback.azure.com/forums/223579-azure-portal/sugges...
https://feedback.azure.com/forums/34192--general-feedback/su...
It's a fun page to dig through, some of the gaps are just so glaring as to beggar belief.
That's glaringly cheating.
Bigtable -> Big Table
Some use cases are: migrating to cloud (for all kinds of reasons, like not wanting to invest in own datacenters and HW anymore) without having to refactor applications, hybrid applications where the front end lives in Google Cloud but the backend requires a more 'traditional' environment, using the cloud for DR, ...
Similar offerings exist at other hyperscalers:
* Amazon: VMware Cloud on AWS - https://cloud.vmware.com/vmc-aws
* Azure: Azure VMware Solution - https://cloud.vmware.com/azure-vmware-solution
* IBM: IBM Cloud for VMware Solutions - https://cloud.vmware.com/ibm-cloud
* Oracle: Oracle Cloud VMware Solution https://cloud.vmware.com/oracle-cloud
* Alicloud: Alibaba Cloud VMware Solution https://www.alibabacloud.com/press-room/vmware-based-cloud-t...
[Disclaimer: I work at VMware]
https://www.awsgeek.com/AWS-Periodic-Table/
https://www.awsgeek.com/AWS-History/ or, as JSON https://github.com/AwsGeek/aws-history/blob/master/services....
Woah, what is this, a novel?
And you still have room for another word.
migrate VMs to GKE containers
cloud API gateway
dynamic web maps
managed service mesh
Yeah, I will need a "Google Cloud products in 4 words or less" in 32 words or less, for some cases.
On serious note, I also think it will be good for them, if they mention the 4 word explanation as a sub-title where ever they mention the name. Also applies to AWS.
For instance, what are AWS Lambdas called in Azure and Google Cloud?
The level of complexity is overwhelming, especially for the decreasing marginal returns to effort for most companies for most of these services, I suggest that G and AWS need to take a new approach here.
Not going to last.
(They just haven't announced many of them yet)