I am new to AWS. Most of example I have seen need an input file name from S3 bucket for media convert. I want to automate this process. What is the best way to do it. I want to achieve following.
API to upload a video(mp4) to a S3 bucket.
Trigger MediaConvert Job to process newly updated video and convert it to HLS.
I know how to create an API as well as MediaConvert job. What I need help with it is automating this workflow. How can I pass recently uploaded video to MediaConvert job dynamically?
I think this should actually cover what you're looking for, and is straight from the source:
https://aws.amazon.com/blogs/media/vod-automation-part-1-create-a-serverless-watchfolder-workflow-using-aws-elemental-mediaconvert/
Essentially, you'll be making use of AWS Lambda, a serverless code execution product. Lambda functions by allowing you to hook directly into "triggers" or events from within the AWS ecosystem (like uploading a file to S3).
The lambda can then execute code in a number of supported languages like Javascript or Python, which can be used to execute a MediaConvert job on the triggering object (the file uploaded to S3).
Related
I have a Jupyter Notebook file that cleans the data file (.csv) in S3. The cleaning process is taken care of...
However, I want to be able to automatically apply this cleaning process to every file that is uploaded to the S3 bucket. Each file will have the exact same data format. I am thinking maybe of using AWS Glue, but not sure where to start. If we can skip the upload to S3 and go straight into Glue that would be interesting to explore...
The end goal is to load the clean data in Quick Sight and also AWS Sage Maker for ML applications.
Any advice on how to approach this?
Thanks
A simple AWS Lambda function with an AWS EventBridge Rule can do this. Check out this link: https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-create-rule-schedule.html
Use the above link to set up the cron or event(whatever is your use case), write you s3 clean up code in lambda function. Lambda support multiple programming languages. And then let the lambda take care of it.
I am working on a requirement, where i am doing multipart upload of the csv file from on prem server to S3 Bucket.
To achieve this using AWS Lambda I create a presigned url and use this url i am uploading the csv file. Now, once i have the file in AWS S3, i want it to be moved to AWS RDS Oracle DB. Initially i was planning to use AWS Lambda for this.
So once i have the file in S3, it triggers lambda(s3 event) and lambda will push this file to RDS. But with this the issue is with the file Size(600 MB).
I am looking for some other way, where whenever there is a file uploaded to S3, it should trigger any AWS service and that service will push this csv file to RDS. I have gone through AWS DMS/Data Pipeline, but not able to find any way to automate this migration
I need to automate this migration on every s3 upload, that is also cost effective.
Setup S3 Integration and build SPROCS to help automate load. Details found here.
UPDATE:
Looks like you don't even need to create a SPROC. You can just use the RDS procedure as outlined here. You would then just create an event-driven lambda function that is triggered on a given S3 event--e.g. on object PUT(), POST(), COPY, etc..--which passes the S3 metadata requisite to access the event object. Here is a simple Python example of what that Lambda and config might look like. You would then use the metadata passed on the trigger event--as outlined in the Python example--to dynamically create your procedure call then execute that procedure. You can also add the ensuing workflow logic that meets your requirements--i.e. TASK_ID fetch & operational handling, monitoring, etc...--to the same lambda function or separate those concerns by adding additional lambdas. Hope this helps!
Some images which is already uploaded on AWS S3 bucket and of course there is a lot of image. I want to edit and replace those images and I want to do it on AWS server, Here I want to use aws lambda.
I already can do my job from my local pc. But it takes a very long time. So I want to do it on server.
Is it possible?
Unfortunately directly editing file in S3 is not supported Check out the thread. To overcome the situation, you need to download the file locally in server/local machine, then edit it and re-upload it again to s3 bucket. Also you can enable versions
For node js you can use Jimp
For java: ImageIO
For python: Pillow
or you can use any technology to edit it and later upload it using aws-sdk.
For lambda function you can use serverless framework - https://serverless.com/
I have made youtube videos long back. This is related to how get started with aws-lambda and serverless
https://www.youtube.com/watch?v=uXZCNnzSMkI
You can trigger a Lambda using the AWS SDK.
Write a Lambda to process a single image and deploy it.
Then locally use the AWS SDK to list the images in the bucket and invoke the Lambda (asynchronously) for each file using invoke. I would also save somewhere which files have been processed so you can continue if something fails.
Note that the default limit for Lambda is 1000 concurrent executions, so to avoid reaching the limit you can send messages to an SQS queue (which then triggers the Lambda) or just retry when invoke throws an error.
I'm new to Amazon web services and I'm wondering if the platform offers any solution to convert media files to different formats ( mp4 to mp3) or do I have to use a lambda function with a third party library to achieve this.
Thank you !
You can get up and running quickly with Elastic Transcoder. You will need to:
create two s3 buckets, your 'inbox' and 'outbox'
add a transcoder pipeline specifying which bucket is your in/out buckets, and you what file types you want to transcode from and two.
you can set up a trigger so that every time something hits the in bucket, the process runs, or you can place something in the in bucket and use the sdk or cli to trigger a job.
Two things to note:
When you fire a job, you have to pass in the name of the file that will be created. If the file already exists in the out bucket, an error will be thrown.
As with all of aws' complete services, you get a little free up front, then it gets expensive. Once you get the hang of it, you can save some money rolling your own in lambda like this
So I have an S3 bucket full of over 200GB of different videos. It would be very time consuming to manually set up jobs to transcode all of these.
How can I use either the web UI or aws cli to transcode all videos in this bucket at 1080p, replicating the same output path in a different bucket?
I also want any new videos added to the original bucket to be transcoded automatically immediately after upload.
I've seen some posts about Lambda functions, but I don't know anything about this.
A lambda function is just a temporary machine that runs some code.
The sample code in your link is what you are looking for as a solution. You can call your lambda function once for each item in the S3 bucket and kick off concurrent processing of the entire bucket.