In my app i create programmatically multiple VM instances for a period of time then i delete them and i need to know before creating the instance how much it's going to cost per minute (or hour)
I'm asking if there is an API that takes the configuration of the VM instance and gives back the pricing information?
If the answer is no, what is the best way to obtain the pricing information of a VM instance?
In my research i found this online pricing calculator but i need an API, and this API that lists all the SKUs of the GCP by service and if it is theoretically possible to search through the SKUs of Compute Engine to find the resources i'm using and then calculate the pricing from that, i don't think it's ideal.
The only way is the one you found - using SKUs and Cloud Billing API.
You can find that similar question has already been answered here.
Related
I have a GKE Kubernetes cluster running on GCP. This cluster has multiple node pools set with autoscale ON and placed at us-central1-f.
Today we started getting a lot of errors on these Node pools' Managed Instance Groups saying that us-central1-f had run out of resources. The specific error: ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS
I've found another topic on Stackoverflow with a similar question, where the answer points to a discussion on Google Groups with more details. I know that one of the recommended ways of avoiding this is to use multiple zones and/or regions.
When I first faced this issue I wondered if there is a way to set multiple region as a fallback system, instead of redundancy system. In that sense, I would set my VMs to be placed wherever zone that has available resources prioritizing the ones closer to, lets say, us-central1-f.
Then, reading the discussion on the Google Group I found a feature that caught my attentions which is the ANY distribution method for Managed Instance Groups. It seems that this feature does exactly what I need - the zone fallback.
So, my question: Does the ANY distribution method resolve my issue? Can I use it for GKE Node Pools? If not, is there any other solution other than using multiple zones?
It is possible to get a regional (i.e. multi-zonal) GKE deployment, however this will use multiple zonal MIGs as the underlying compute layer. So technically speaking you will not use the ANY distribution method, but you should achieve pretty much the same result.
I'm starting a project where a CloudSQL instance would be a great fit however I've noticed they are twice the price for the same specification VM on GCP.
I've been told by several devops guys I work with that they are billed by usage only. Which would be perfect for me. However on their pricing page it states "Instance pricing for MySQL is charged for every second that the instance is running".
https://cloud.google.com/sql/pricing#2nd-gen-pricing
I also see several people around the web saying they are usage only.
Cloud SQL or VM Instance to host MySQL Database
Am I interpreting Googles pricing pages incorrectly?
Am I going to be billed for the instance being on or for its usage?
Billed by usage
All depend what you mean by USAGE. When you run a Cloud SQL instance, it's like a server (compute engine). Until you stop it, you will pay for it. It's not a pay-per-request pricing, as you can have with BigQuery.
With Cloud SQL, you will also pay the storage that you use. And the storage can grow automatically according with the usage. Be careful the storage can't be reduce!! even if you delete data in database!
Price is twice a similar Compute engine
True! A compute engine standard1-n1 is about $20 per month and a same config on Cloud SQL is about $45.
BUT, what about the price of the management of your own SQL instance?
You have to update/patch the OS
You have to update/patch the DB engine (MySQL or Postgres)
You have to manage the security/network access
You have to perform snapshots, ensure that the restoration works
You have to ensure the High Availability (people on call in case of server issue)
You have to tune the Database parameters
You have to watch to your storage and to increase it in case of needs
You have to set up manually your replicas
Is it worth twice the price? For me, yes. All depends of your skills and your opinion.
There are a lot of hidden configuration options that when modified can quickly halve your costs per option.
Practically speaking, GCP's SQL product only works by running 24/7, there is no time-based 'by usage' option, short of you manually stopping and restarting the compute engine.
There are a lot of tricks you can follow to lower costs, you can read many of them here: https://medium.com/#the-bumbling-developer/can-you-use-google-cloud-platform-gcp-cheaply-and-safely-86284e04b332
I was originally planning to use Azure SQL for a client's database but Azure said that the estimated cost was going to be something around $250/month for the most basic configuration. I remember when using Azure for my own experimentation in the past, that Azure costs were higher than expected so I decided to look at GCP as an alternative.
GCP offered me a free trial credit of $300 so I accepted that by default. I created a new SQL Server instance via my GCP account, created the most basic database configuration, then connected via SSMS and created a single database table with a single Id column. That's it. Now, 2 days later with no additional usage of this database table, my GCP free trial credit has been burned down by $15. Based on this trend, a SS instance on GCP seems to cost about as much as an Azure SQL instance. Am I inferring this correctly?
Can you recommend a good quality option which provides free relational database hosting for low volume, low transaction databases? SQL Server would be great but MySQL should work too. I'm assuming that MySQL is fairly equivalent for simple databases?
I don't know about costs related to other cloud providers, but gcp's are usually really competitive on the market. With cloud SQL you pay per instance/h and you pay more/less based on different factors. Use the google cloud price calculator to have a general idea of the costs, and adjust cloud sql accordingly: https://cloud.google.com/products/calculator
Additionally, here you may find all the information regarding Pricing details of Cloud SQL.
Google Compute Engine guide says that Google may migrate a VM in order to do maintenance:
https://cloud.google.com/compute/docs/instances/setting-instance-scheduling-options
By default, standard instances are set to live migrate, where Google
Compute Engine automatically migrates your instance away from an
infrastructure maintenance event, and your instance remains running
during the migration. Your instance might experience a short period of
decreased performance, although generally most instances should not
notice any difference.
There is a disruption during migration.
Is it possible that Google decides to migrate all instances within a zone at the same time? Is there a maximum to a number of concurrent migrations?
Q: There is a disruption during migration?
A: Yes there is a small period of time where the instance is not running on the old host neither the new one. Here [1] you can see how the process works.
Q: Is it possible that Google decides to migrate all instances within a zone at the same time?
A: It is very unlikely that this escenario happens, as this would implicate that all your Google Compute Engine instances of your project are on the same physical host.
Q: Is there a maximum to a number of concurrent migrations?
A: I don't know the answer to that question but I have addressed to the proper team so maybe they can answer it.
You can find more about the live migration procedure here [2].
[1] https://cloud.google.com/compute/docs/instances/live-migration#how_does_the_live_migration_process_work
[2] https://cloud.google.com/compute/docs/instances/live-migration
Anyone know if there is a way to download historical cpu usage data via API call for Google Compute Engine?
On the Console overview page, graphs are provided for this type of data for at least a month, but I don't see anything obvious on how to download the actual data directly.
The Google Compute Engine usage export feature recently launched - it sounds like what you're looking for. It gives daily detail in a CSV, as well as a month-to-date summary.