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I created a free account since more time to test aws services. Last week I started 2 ec2 instances and I created an EKS cluster. After one day I found 26€ as billing.
I removed all EC2 instances, the cluster EKS, the users that I created them, the users-group, I deleted every thing from the account. But the billing is still increasing without any running service. Now I have 40€. I created an incident to aws support but I don't now when they will answer me.
Do you have an idea please ? thanks
You can see exactly what you are being billed for by visiting the billing console. If you look at the bills page it will default to the current month.
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I'm being charged for "E2 Instance Core running in Seoul". The billing report says the related service is "Compute Engine", but there is no VM instance running from Compute Engine. I can't track the cause of the bill.
Not sure if it's related, but I created 4 Cloud Run services with 0 minimum instances auto-scaling settings and runs probably 0~5 mins per day. But the usage of the "E2 Instance Core running in Seoul" is 84 hours for 7 days. So I don't think that's the cause.
Why am I being charged for "E2 Instance Core running in Seoul"?
As confirmed in the comments, when using a VPC Serverless Connector, this connector is charged as e2-micro instances as stated by pricing docs.
This is the reason why you see these charges even if you're not having a VM in GCE.
Also to confirm, you can use the following tip from the docs:
You can view your Serverless VPC Access costs in the Cloud Console by filtering your billing reports by the label key serverless-vpc-access.
There are two possiblities:
Resources were created in the wrong region due to a bug - contact billing support and explain everything. If they confirm that it's a bug you can file it on IssueTracker.
Your account has been compromised - in this case I can recommend reading some documentation:
Compromised credentials
Identify and secure compromised accounts
Check the login audit log and see for any unathorised / suspicious looking logins and audit logs for entries related to the resources located in Seoul. It may be in a different project (which would support "being hacked" version).
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Can I run a EC2, t2.micro instance & a RDS db.t2.micro instance, parallel & continuously a whole month ?
Or is it I can only run one of them ?
I know both of them have 750 hours of up time available in the free tier. But I'm bit confused whether it is (EC2 OR RDS) or (EC2 & RDS) in the free tier.
Yes, you are able to run these parallel.
See free tier terms for more information.
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I stumbled upon this term reading AWS documenation, some instances are recommended for building fleets but I have no clue what that is. What is a front-end fleet?
A fleet of ec2 instances means a group of instances engaged in the same activity within a group such as autoscaling, load balancing, batch processing, clustering and etc.
A fron-tend fleet generally referred to a set of EC2 instancers first act upon a load. For example set of web server instancers directly getting web traffic behind a load balancer.
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One of the new requirement that I have is trying to use my Jenkins server which is set up in my AWS us-east account to deploy code to the application servers(in a private subnet) in the AWS china region. I'm worried about the security aspects while connecting to the China region from the US region.
What I have come up with is using an OpenVPN to connect to the china region and then go from there.
If anyone have a better solution please recommend.
Thanks!
OpenVPN (or a VPN in general) is the best option I know of in this scenario. Your connection is going to be going over the Internet so encrypting that connection with a VPN is the correct way to perform this task in a secure manner.
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What is the best way to cut costs on AWS?
AWS, EC2 and RDS
There's not a lot of info given for your needs, but: AWS pricing is based on usage. Use less powerful instances for less time to save costs.
Glacier over S3 for long term storage.
Autoscaling, run as minimal as possible.
Smaller cache servers to lower the amount of application servers needed.
Read/write DB splitting so you can have smaller databases.
Less metrics, etc.
Used timed autoscaling to shut off non-essential boxes "after hours". Like dev boxes.