I have an account in region ca-central. I wish to make call to a Public S3 bucket located in us-east.
As much as possible, these call have to be make through https (I am actually using apt-get), but if not possible I can try to use CLI call to download my data.
I can not exit public network due to firewall limitations, I need to stay internal to AWS network.
Can I do it through a S3 endpoint? The only endpoint I can create are connected to my current region (so ca-central). Or the only way is to do it through public network?
Yes, regardless of which region the bucket lives in, you will be able to reach it via AWS private link with either a VPC interface or gateway endpoint deployed correctly in the region you're working in.
Related
I have a AWS project that contains a S3 bucket, RDS database and Lambda functions.
I want Lambda to have access to both the S3 bucket and the RDS database.
The Lambda functions connects to the RDS database correctly but it times out when trying to retrieve an object from the S3 bucket:
Event needs-retry.s3.GetObject: calling handler <bound method S3RegionRedirectorv2.redirect_from_error of <botocore.utils.S3RegionRedirectorv2 object at 0x7f473a4ae910>>
...
(some more error lines)
...
botocore.exceptions.ConnectTimeoutError: Connect timeout on endpoint URL: "https://{bucket name}.s3.eu-west-3.amazonaws.com/{file name}.tar.gz"
So I understand that the reason would be that Lambda doesn't have internet access and therefor my options are:
VPC endpoint (privatelink): https://aws.amazon.com/privatelink
NAT gateway for Lambda
But both go over the cloud (in same region), which doesn't make any sense as they are both in the same project.
It's just a redundant cost for such a detail and there must be a better solution right?
Maybe it helps you to think of the S3 bucket "in the same project" as having permission to use an object system that resides in a different network outside your own. Your lambda is in VPC but S3 objects are not in your VPC. You access them using either public end-points (over the internet) or privately by establishing S3 Gateway endpoint or VPC Interface Endpoint. Neither uses public internet.
As long as you are staying in the same region, S3 gateway endpoint actually does not cost you money but if you need to cross regions, you will need to use VPC Interface endpoint. The differences are documented here: https://docs.aws.amazon.com/AmazonS3/latest/userguide/privatelink-interface-endpoints.html
If you are trying to avoid costs, S3 gateway might work for you, however, you will need to update your route tables that's associated with the gateway. The process is documented here: https://docs.aws.amazon.com/vpc/latest/privatelink/vpc-endpoints-s3.html
I am new to AWS and trying to wrap my head around how I can build a data pipeline using Lambda, S3, Redshift and Secrets Manager. I have searched the web, read a number of documents/tutorials, yet I am still a bit confused as to how I can configure this properly.
In my stack, Lambda will be the core of the tooling, where lambda will need to call out to external APIs, write/read data to S3, access Secrets Manager and be able to connect to redshift for data loading and querying.
My question. What do I have for options to configure this setup and allow for lambda to access all of the necessary tools/services?
For context, I have been able to poke around and get most things working, but access to Redshift is what has slowed me down. If I put the lambda into the same VPC as Redshift (default), I lose access to everything else, so I am not certain as to how to proceed.
For context, I have been able to poke around and get most things working, but access to Redshift is what has slowed me down. If I put the lambda into the same VPC as Redshift (default), I lose access to everything else, so I am not certain as to how to proceed.
A Lambda running in a VPC does not ever get a public IP address. This causes issues when it tries to access things outside the VPC, such as S3 and Secrets Manager.
There are two ways to fix this access issue:
Move the Lambda function to private VPC subnets with a route to a NAT Gateway.
Add VPC Gateways to your VPC for the AWS services you need.
Since you only need your Lambda function to access other AWS services, and not the Internet, you should add an S3 VPC Gateway, and a Secrets Manager VPC Gateway to your VPC.
I'm using aws OpenSearch in a private vpc.
I've about 10000 entries under some index.
For local development i'm running an local OpeanSearch container and i'd like to export all the entries from the OpenSearch service into my local container.
I can get all the entries from the OpeanSerch API but the format of the response is different then the format that should be when doing _bulk operation.
Can someone please tell me how should i do it?
Anna,
There are different strategies you can take to accomplish this, considering the fact that your domain is running in a private VPC.
Option 1: Exporting and Importing Snapshots
From the security standpoint, this is the recommended option, as you are moving entire indices out of the service without exposing the data. Please follow the AWS official documentation about how to create custom index snapshots. Once you complete the steps, you will have an index snapshot stored on an Amazon S3 bucket. After this, you can securely download the index snapshot to your local machine, then follow the instructions on the official OpenSearch documentation about how to restore the index snapshots.
Option 2: Using VPC Endpoints
Another way for you to export the data from your OpenSearch domain is accessing the data via a alternate endpoint using the VPC Endpoints feature from AWS OpenSearch. It allows you to to expose additional endpoints running on public or private subnets within the same VPC, different VPC, or different AWS accounts. In this case, you are essentially create a venue to access the OpenSearch REST APIs outside of the private VPC, to which you need to take care of who other than you will be able to do so as well. Please follow the best practices related to secure endpoints if you follow this option.
Option 3: Using the ElasticDump Open Source Utility
The ElasticDump utility allows you to retrieve data from Elasticsearch/OpenSearch clusters in a format of your preference, and then import that data back to another cluster. It is a very flexible way for you to move data around—but it requires the utility to access the REST API endpoints from the cluster. Run this utility in a bastion server that has ingress access to your OpenSearch domain in the private VPC. Keep in mind, though, that AWS doesn't provide any support to this utility, and you must use it at your own risk.
I hope that helps with your question. Let us know if you need any more help on this. đŸ™‚
The situation is thus:
I have hybrid connectivity, I'm on the on-prem network, and I'm going to move a file over a VPN into a Cloud Storage bucket via Private Google Access. But, I'm malicious. I've decided to send that file to a bucket which is not owned by my organization. How can my organization prevent me from doing this?
I suspect that I could use a VPC Service Control to create a perimeter around my VPN project and the project with the good bucket. But is this the best/only way?
By configuration, VPC Service Control is the only way to do this. VPC Service Control is particularly well design for data exfiltration.
Else, you have to build a proxy by yourselves and to check each request and validate that they reach only a bucket inside your organisation.
We have an EC2 instance is coming up as part of autoscaling configuration. This instance can retrieve AWS credentials using the IAM role assigned to it. However, the instance needs additional configuration to get started, some of which is sensitive (passwords to non-EC2 resources) and some of which is not (configuration parameters).
It seems that the best practice from AWS is to store instance configuration in IAM and retrieve it at run-time. The problem I have with this approach is that configuration is sitting unprotected in S3 bucket - incorrect policy may expose it to parties who were never meant to see it.
What is a best practice for accomplishing my objective so that configuration data stored in S3 is also encrypted?
PS: I have read this question but it does not address my needs.
[…] incorrect policy may expose it to parties who were never meant to see it.
Well, then it's important to ensure that the policy is set correctly. :) Your best bet is to automate your deployments to S3 so that there's no room for human error.
Secondly, you can always find a way to encrypt the data before pushing it to S3, then decrypt it on-instance when the machine spins-up.
AWS does not provide clear guidance on this situation, which is a shame. This is how I am going to architect the solution:
Developer box encrypts per-instance configuration blob using the
private portion of asymmetric keypair and places it in an S3 bucket.
Restrict access to S3 bucket using IAM policy.
Bake public portion of asymmetric keypair into AMI.
Apply IAM role to EC2 instance and launch it from AMI
EC2 instance is able to download configuration from S3 (thanks to IAM role) and decrypt it (thanks to having the public key available).
The private key is never shared sent to an instance so it should not be compromised. If the public key is compromised (e.g. if the EC2 instance is rooted), then the attacker can decrypt the contents of the S3 bucket (but at that point they already have root access to the instance and can read configuration directly from the running service).