- Amazon S3 Bucket Explorer
- Amazon S3 Bucket Explorer 2.0
- Amazon Bucket S3
- Amazon S3 Bucket Explorer Eddie Bauer
Aside, Bucket and Cloudberry explorer, there is S3 Browser a freeware Windows client for Amazon S3 and Amazon CloudFront. Another option to consider is the use of this PHP script by Lalit to upload and set HTTP headers. Bucket Explorer For Amazon S3 free download - Internet Explorer, Process Explorer, Offline Explorer, and many more programs. Freeware (with low-cost premium option) A versatile range of features. S3 Bucket Explorer. What is S3 Browser S3 Browser is a freeware Windows client for Amazon S3 and Amazon CloudFront. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. Creating S3 Buckets To create a new bucket, go to the main page of AWS Explorer and right-click on Content Menu. From here, you need to choose the Create Bucket option. In the dialogue box of S3 Bucket, you need to create the bucket manually here by entering the name for the bucket along with other required details.
- Update April 15, 2019:
Include a enhancement to the UDF to work with HTTP and HTTPS simultaneously;
Include a enhancement to the UDF to work with URL encoded and NOT encoded (it's necessary comment/uncomment the line).
Today I'll explain step-by-step how to calculate the signature to authenticate and download a file from the Amazon S3 Bucket service without third-party adapters.
Request
In summary this interface receive download URL, Bucket, AccessKeyID, SecretAccessKey, Token and AWSRegion, a mapping calculate the signature with this information and sent to REST Adapter, the signature and anothers parameters are insert in HTTP header.
Amazon S3 Bucket Explorer
Some information for calculate the signature are provide another service, this post explain only how to calculate, but is possible implemented enhancements, for example, create a rest/soap lookup to get a Token and SecretAccessKey.
Response
The response is a file, and the REST Adapter don't work with format different of XML or JSON, then you will need convert the file to binary, and this content are insert in a tag of XML. For this conversion I recommend a module adapter FormatConversionBean developed by @engswee.yeoh
Request mapping
For the request mapping you need create a two structures, one for inbound and another for outbound.
Inbound
Outbound
After create the structures for the request mapping (data type, message type, etc), you need create a message mapping.
Now you need to map the fields, pay attention to the next steps for configurations the roles.
Roles for Message Mapping
- Fields XAmzSecurityTokenand Urlare mapped directly….
- Field XAmzSha256 is mapped with a constant value e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 (this string is a hash of a null value)
- Field XAmzDate is mapped with a CurrentDate (format yyyyMMdd'T'HHmmss'Z') function…
- Field ContentType is mapped with a constant value application/x-www-form-urlencoded…
- Field Host is mapped with a UDF or ConstantValue.
The Host is a result of concatenation of the Bucket+'.s3.amazonaws.com',
so you can use a ConstantValue (eu01-s3-store.s3.amazonaws.com for example), which receives the bucket and returns the Host
- Field Authorizathion is mapped with a UDF.
- Field XAmzDate is mapped with a CurrentDate (format yyyyMMdd'T'HHmmss'Z') function…
- Field ContentType is mapped with a constant value application/x-www-form-urlencoded…
- Field Host is mapped with a UDF or ConstantValue.
The Host is a result of concatenation of the Bucket+'.s3.amazonaws.com',
so you can use a ConstantValue (eu01-s3-store.s3.amazonaws.com for example), which receives the bucket and returns the Host
- Field Authorizathion is mapped with a UDF.
In field Authorization you have insert the signature calculated with the UDF below.
You also need to create some methods, which will be used by UDF in signing.
and import the packages…
After developed the UDF, its necessary configure with the inbound values.
Note: the format of CurrentDate is yyyyMMdd'T'HHmmss'Z'.
Now save and Activate the Request mapping.
Response mapping
The response mapping it's simple and not necessary many explanation.
Configure the interface normally …
After created Request/Response Mapping, build the Operation Mapping and a Integrated Configuration normally. The Communication Channel can be of any type that is synchronous, but the Receiver must be to type rest and configured as below.
Receiver Communication Channel
Now you need configure the Receiver Channel, for this the values generates in request message mapping are storage in variables, and this variables are used in the communication channel.
Now the variables storage are used in the HTTP Header, here you configure how the canonical request is create.
It's necessary configure the REST Operation, for this case the operation is GET.
And finally configure the module adapter FormatConversionBean to converte the file in b64string.
IMPORTANTE: The module adapter FormatConversionBean isn't standard, and you need deploy if you have not already, for more information and download of module you can access here.
Save and active all objects, now we going test!
Fill in all the fields correctly in the interface and call the created service, the response should be the file in b64string format.
If you analyze the log of request messages, the parameters are populated in the HTTP header and communication has succeeded (HTTP 200)
and the response (the file) is converted to b64 string.
That's all! I hope I have collaborated and I am waiting for your feedback on this post.
Amazon S3 Bucket Explorer 2.0
References
How to Calculate AWS Signature Version 4
https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-header-based-auth.html
Module Adapter FormatConversionBean
https://blogs.sap.com/2015/03/25/formatconversionbean-one-bean-to-rule-them-all/
Jw search tool. PI REST Adapter – Define custom http header elements
https://blogs.sap.com/2015/04/14/pi-rest-adapter-define-custom-http-header-elements/
Recently, I had a chance to work on Amazon S3 policy creation to restrict the access to specific folder inside the bucket for specific users.
I have seen the below description on Amazon docs:
Example 2: Allow a user to list only the objects in his or her home directory in the corporate bucket
This example builds on the previous example that gives Bob a home directory. To give Bob the ability to list the objects in his home directory, he needs access to ListBucket. However, we want the results to include only objects in his home directory, and not everything in the bucket. To restrict his access that way, we use the policy condition key called s3:prefix with the value set to home/bob/*. This means that only objects with a prefix home/bob/* will be returned in the ListBucket response.
{
'Statement':[{
'Effect':'Allow',
'Action':'s3:ListBucket',
'Resource':'arn:aws:s3:::my_corporate_bucket',
'Condition':{
'StringLike':{
's3:prefix':'home/bob/*'
}
}
}
]
}
If you applied the above policy, need to enter the exact path to access the files, it won't list the bucket or folders inside the bucket when you access the account from Amazon web interface or s3ftp tools. But my requirement is to list the buckets and folders but restrict the access to specific folder.
My requirement:
– Create different folders inside the bucket for each client.
– All the client users should get access to the client specific folder only through the Amazon web interface or the s3ftp tools.
What i did is:
– Created different folders for each client inside the bucket.
– Created the groups under 'IAM' for each client.
– Created the users and assigned to the client groups.
– Create and assign the policy at the group level.
Policy to restrict the folder access
for example, if you have 'folder1', 'folder2' folders under 'bucket1', and wanted to give the 'folder1' access to 'client1' users and 'folder2' access to the 'client2' users.
Here is the policy we need to apply to the 'client1' user group:
Amazon Bucket S3
Policy to apply on 'client2' user group:
In above policies, we added two actions, one will allow all the resources and the other deny the particular folder access.
Policy to restrict the bucket access
If you created the different buckets (bucket1, bucket2), wanted to give the 'bucket1' access to 'client1' and 'bucket2' access to the 'client2' then:
Here is the policy to apply on 'client1' user group:
Policy to apply on 'client2' user group: