We are using grafana's cloudwatch data source for aws metrics. We would like to differentiate folders in S3 bucket with respect to their sizes and show them as graphs. We know that cloudwatch doesn't give object level metrics but bucket level. In order to monitor the size of the folders in the bucket, let us know if any possible solution out there.
Any suggestion on the same is appreciated.
Thanks in advance.
Amazon CloudWatch provides daily storage metrics for Amazon S3 buckets but, as you mention, these metrics are for the whole bucket, rather than folder-level.
Amazon S3 Inventory can provide a daily CSV file listing all objects. You could load this information into a database or use Amazon Athena to query the contents.
If you require storage metrics at a higher resolution than daily, then you would need to track this information yourself. This could be done with:
An Amazon S3 Event that triggers an AWS Lambda function whenever an object is created or deleted
An AWS Lambda function that receives this information and updates a database
Your application could then retrieve the storage metrics from the database
Thanks for the reply John,
However I found a solution for it using an s3_exporter. It gives metrics according to size of the folders & sub-folders inside S3 bucket.
Related
I am trying to import some data from S3 bucket to bigQuery. And, I ended up seeing the bigQuery omni option.
However, when I try to connect to the S3 bucket, I see that I am given a set of regions to choose from. In my case, aws-us-east-1 and aws-ap-northeast-2 as in the attached screenshot.
My data on S3 bucket is on the region eu-west-2.
Wondering why BQ allows us to look for specific regions on S3.
What should I be doing so that I can query data from an S3 bucket in the region where the data is uploaded to?
The S3 service is unusual in that the names of buckets are globally unique and do not contain region information in the ARN of the bucket. However, buckets are located in regions but they can be accessed from any region.
My best guess here is that the connection location will be the S3 API endpoint that BigQuery will connect to when it attempts to get the data. If you don't see eu-west-2 as an option then try using us-east-1. From that endpoint it is always possible to find out the location information of the bucket and then make the appropriate S3 client.
I am developing a service in which two different cloud storage providers are involved. I am trying to copy data from S3 bucket to GCS.
To access the data I have been offered signedUrls, and to upload the data to GCS I also have signedUrls available which allow me to write content into a specified storage path;
Is there a possibility to move this data "in cloud"? Downloading from S3 and uploading the content to GCS will create bandwidth problems;
I must also mention that this is a on-demand job and it only moves a small number of files. I can not do a full bucket transfer;
Kind regards
You can use Skyplane to move data across clouds object stores. To move a single file from S3 to Google Cloud, you can use the command:
skyplane cp gcs://<BUCKET>/<FILE> s3://<BUCKET>/<FILE>
I am publishing custom metric data (count of how many times operations are being used by customers) to cloudwatch. I want to use these custom metric data to be shown on Amazon Quicksight dashboard ; do anyone know how I can do that?
Use Athena to read the Cloud watch metrics as seen in AWS docs https://docs.aws.amazon.com/athena/latest/ug/athena-prebuilt-data-connectors-cwmetrics.html.
Then you can connect Quicksight with Athena as data source https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html or utilize S3 where data resides now.
I am using s3 bucket to store my data. And I keep pushing data to this bucket every single day. I wonder whether there is feature I can compare the files different in my bucket between two date. I not, is there a way for me to build one via aws cli or sdk?
The reason I want to check this is that I have a s3 bucket and my clients keep pushing data to this bucket. I want to have a look how much data they pushed since the last time I load them. Is there a pattern in aws support this query? Or do I have to create any rules in s3 bucket to analyse it?
Listing from Amazon S3
You can activate Amazon S3 Inventory, which can provide a daily file listing the contents of an Amazon S3 bucket. You could then compare differences between two inventory files.
List it yourself and store it
Alternatively, you could list the contents of a bucket and look for objects dated since the last listing. However, if objects are deleted, you will only know this if you keep a list of objects that were previously in the bucket. It's probably easier to use S3 inventory.
Process it in real-time
Instead of thinking about files in batches, you could configure Amazon S3 Events to trigger something whenever a new file is uploaded to the Amazon S3 bucket. The event can:
Trigger a notification via Amazon Simple Notification Service (SNS), such as an email
Invoke an AWS Lambda function to run some code you provide. For example, the code could process the file and send it somewhere.
I'm trying to send all my AWS IoT incoming sensor value messages to the same s3 bucket, but despite turning on versioning in my bucket, the file keeps getting overwritten and showing only the last input sensor value rather then all of them. I'm using "Store messages in an Amazon S3 bucket" direct from the AWS IoT console. Any easy way to solve this problem?
So after further research and speaking with Amazon Dev support you actually cant append records tot he same file in S3 from the IoT console directly. I mentioned this was a feature most IoT developers would want as a default, and he said it would likely be possible soon but not way to do it now. Anyway the simplest workaound I tested is to set up a Kinesis stream with a firehose to a S3 bucket. This will be constrained by an adjustable data size and stream duration but it works well otherwise. It also allows you to insert a Lambda functino for data transform if needed.