Wednesday 9 October 2024

Elastic Transcoder LAB

 

1. Create a Pipeline

  • Navigate to the Elastic Transcoder console: In the AWS Management Console, search for "Elastic Transcoder" and select the Elastic Transcoder service.
  • Create a pipeline: Click on "Create pipeline".
  • Name your pipeline: Give your pipeline a unique name.
  • Choose a role: Select the IAM role that has the necessary permissions to access your S3 buckets.
  • Create the pipeline: Click on "Create pipeline".
  • Image of creating an Elastic Transcoder pipeline

2. Create an Input Preset

  • Create an input preset: Click on "Create input preset".
  • Name your input preset: Give your input preset a unique name.
  • Configure input settings: Specify the input settings, such as the container format and resolution.
  • Create the input preset: Click on "Create input preset".
  • Image of creating an Elastic Transcoder input preset

3. Create an Output Preset

  • Create an output preset: Click on "Create output preset".
  • Name your output preset: Give your output preset a unique name.
  • Configure output settings: Specify the output settings, such as the container format, resolution, and bitrate.
  • Create the output preset: Click on "Create output preset".
  • Image of creating an Elastic Transcoder output preset

4. Create a Job

  • Create a job: Click on "Create job".
  • Choose a pipeline: Select the pipeline you created.
  • Choose an input preset: Select the input preset you created.
  • Choose an output preset: Select the output preset you created.
  • Specify input and output locations: Specify the S3 buckets where your input and output files are located.
  • Create the job: Click on "Create job".
  • Image of creating an Elastic Transcoder job

5. Monitor Job Status

  • Monitor job status: Use the Elastic Transcoder console to monitor the status of your job.
  • Image of monitoring an Elastic Transcoder job

6. Download Output Files

  • Download files: Once the job is complete, download the output files from the specified S3 bucket.

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