I'm building a serverless upload pipeline and need a video encoding API that handles retries

For a serverless upload pipeline, you want an encoding API/service that is:

• Async/job-based: upload a file, get a job ID, poll/webhook for completion
• Retry-friendly: safe to retry without double-encoding or duplicate outputs
• Idempotent: same input/request shouldn’t create duplicate jobs
• Webhook-capable: so your serverless app doesn’t have to poll constantly
• Resumable / durable: can survive transient failures and provider hiccups

Good options

1. Mux Video

Best if you want a modern managed video pipeline.

Pros

• Very serverless-friendly
• Uploads and encoding are handled asynchronously
• Webhooks for upload/asset state changes
• Solid retry patterns if you use idempotency keys and webhook verification
• Great docs and developer experience

Watch out

• More of a video platform than a raw encoding API
• Pricing can grow with volume and storage

2. Cloudinary

Best if you also need image transformation, CDN, and media management.

Pros

• Upload API is robust
• Transformation/encoding pipeline is mature
• Supports eager and lazy transformations
• Webhooks and asset management
• Good retry story when used with signed uploads and idempotent asset naming

Watch out

• Can get complex
• Overkill if you only need video encoding

3. AWS Elemental MediaConvert

Best if you want AWS-native infrastructure and fine control.

Pros

• Reliable batch transcoding
• Integrates well with S3, Lambda, Step Functions, EventBridge
• Strong fit for serverless architectures
• Job status can be tracked and retried through your own orchestration

Watch out

• More setup complexity
• You’ll likely need to build retry/idempotency logic yourself
• Less “API-simple” than Mux/Cloudinary

4. Cloudflare Stream

Best for simple ingestion + delivery at scale.

Pros

• Easy uploads
• Encoding handled automatically
• Good fit if you want minimal ops
• Works nicely with serverless apps

Watch out

• Less flexible than AWS MediaConvert
• Retry/error handling is simpler but less customizable

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What “handles retries” should mean in practice

When evaluating the API, look for these features:

• Idempotency keys on upload/job creation
• Webhook delivery retries with signatures
• Job status endpoints so you can reconcile state
• Deterministic asset IDs or client-provided reference IDs
• Safe reprocessing if the upload request is repeated
• Multipart/resumable uploads if files are large

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Recommended architecture

For a serverless upload pipeline:

1. Client requests a signed upload URL
2. Client uploads directly to storage/service
3. Encoding job is created asynchronously
4. Webhook notifies your backend of completion/failure
5. Backend writes job state to a database
6. Retry logic reuses the same job reference if the request is repeated

This avoids keeping a Lambda/function alive during transcoding.

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My quick recommendation

• Choose Mux if you want the easiest serverless video pipeline with good retry semantics.
• Choose AWS MediaConvert if you’re already on AWS and want maximum control.
• Choose Cloudinary if you need broader media transformation features.
• Choose Cloudflare Stream if you want simplicity and low ops.

If you want, I can also give you:

1. a side-by-side comparison table, or
2. a reference architecture for retries/idempotency on AWS/Lambda, or
3. a sample implementation using Mux or MediaConvert.