Amazon S3 batch operations | S3 Access Points | S3 Bucket Policy | Visualizations
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- Опубликовано: 26 авг 2024
- So AWS S3 access point simplifies managing data access at scale for applications using shared data sets on S3.
And to help resolve the issues mentioned above, what happens here is the customer or user creates an access point which is basically a hostname and using that you can create permissions and network controls for any request made through the access point. So there is no collision between the requests.
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And the best part is that access points can be restricted to a Virtual Private Cloud (VPC) to firewall S3 data access within customers/users’ private networks, and AWS Service Control Policies can be used to ensure all access points are VPC restricted.
And S3 Access Points is now available in all regions at no additional cost.
s3 batch operations
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I must appreciate the way you use diagrams to explain complex topics. Many Thanks. Which visual drawing tool do you use to design your drawings ?
Just PowerPoint
Nice explanation... A demo would have been great
Thanks for the feedback, we shall have one soon- will update you
@Pythoholic - on the JSON example: allowing a user access to a bucket.... Why do we need 2 "Effect", "Allow" to list actions? Why can't we have both Actions: "List Bucket", "Get Bucket", "Put, Get, Delete" under one single Effect / Action? A deeper dive into Understanding how to read JSON policies would certainly be helpful. Great work!
Thanks for the input, we can surely do this
I noticed that you have stopped adding the target symbol in a few of the videos which tells us that this is an important topic for the exam. is that by purpose or all topics are important?
I really felt it was but later I just kept things that I felt were important and couldn't skip them. So may be I started off adding them but later on just gave up
Nice catch 👌
Please share notes
Pls correct me if I m wrong..
User policies defined is for telling which user can do which actions on a bucket in S3.
Whereas Bucket policy is that wat actions can be done on a bucket in S3
Is this right?
Yeah, the IAM Policy is something that lets you use an AWS resource, so if I attach an IAM policy of S3 to you then you will be able to create buckets or restricted based on the allowed resource.
Bucket policy, helps you to perform specific bucket-related operations, like if you can upload files to this bucket, or if u can delete or read from a specific bucket or resource.
If you host a bucket and restrict it to a specific account, you add it to our bucket policy so that only users who are from that specific account can make use of that bucket data, but its not that they arent able to make use of S3 in general. --- So that the difference.
Not so clear... Explain with scenario
Thanks for the feedback
In terms of security - Bucket policy can override IAM? or all the permissions should be in conjunction to allow the access of s3 object?
So let suppose you are an AWS user and you have an account: If you request that I need to create Buckets and I want to use S3. Your admin will give you/your account IAM policy with S3AllAccess and you will be able to create buckets and upload files.
So now, there is another team that has an AWS account and they have an S3 bucket, the bucket policy determines if a user will be able to use or read the content of S3 Bucket.
Coming to your question.
If you have S3All-access and it's your account, you will be able to modify any bucket in your user account.
But if you want to use a file from other users' buckets, he should allow it.
Don't get confused here:
if John is a consumer, you need to add his principal to the bucket policy and provision him permission to READ or CREATE or restrict the user.
It won't matter if that user is an admin of some other account because your bucket is private and you only allow people based on the policy.
IAM - Policy to AWS services
Bucket Policy - To User or consumers
can S3 object exist without a bucket? in layman's terms, I understand bucket as a Folder.
Simple answer would be no. You need bucket.
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