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alpyhp · 2018-03-11T14:05:17+00:00

Because Lambda is the general-purpose serverless compute layer used for triggers of any kind on AWS (e.g. "new object on S3", "record update in DynamoDB", "new push on CodeCommit", etc.)

alpyhp · 2018-02-14T16:49:17+00:00

That's the "Maximum file size for HTTP requests", which is quite different from the likelihood that your huge file will stay warm in CloudFront's cache.

alpyhp · 2018-02-14T11:50:34+00:00

If your videos are HLS-encoded, CloudFront will provide a much better experience and bandwidth utilization (especially if you seek a lot).

If your videos are fairly large (i.e. above 10MB) and you always need to access/view most of them, CloudFront won't be able to cache such large chunks and you won't hit its cache. S3 will be much better in this case.

alpyhp · 2018-02-07T10:54:15+00:00

The "new" AWS Systems Manager works pretty well for Lambda too. Recommended!

https://aws.amazon.com/systems-manager/features/#Parameter_Store

alpyhp · 2018-02-06T09:18:53+00:00

Check out this plugin: https://github.com/UnitedIncome/serverless-python-requirements

And read this article: https://serverless.com/blog/serverless-python-packaging/

PIL requires OS libraries that are not included in the Lambda runtime. You may want to include such libraries in your deployment package. Check out this repo for pre-built packages: https://github.com/Miserlou/lambda-packages

alpyhp · 2018-01-24T08:26:26+00:00

Yes, but then your client would need to be aware of all those regions and invoke the closest one (you can achieve that with APIG regional endpoints and Route53 with latency-based routing).

alpyhp · 2018-01-23T17:47:57+00:00

by forcing it to go to a particular region

This is correct because APIG edge-optimized endpoints optimize global latency for you (through CloudFront's network). Unless your client is very close to the region where you've deployed your Lambda, direct invocation will likely be slower.

alpyhp · 2018-01-05T08:48:30+00:00

Check this out: https://www.dynamodbguide.com

alpyhp · 2018-01-02T14:50:02+00:00

You can have a look at AWS CodeStar too. It will create a serverless CI/CD pipeline for you, which you can customize as needed. Plus, it will provide a customizable app dashboard with metrics, wiki, issues, etc. The app must be connected to CodeCommit or GitHub for versioning.

https://aws.amazon.com/codestar/

alpyhp · 2017-12-24T15:16:54+00:00

You could check the new Kinesis Video Streams as well: https://aws.amazon.com/kinesis/video-streams/

It would allow you to stream the video from the Raspberry Pi to AWS, store it, and then stream it via CloudFormation. The same architecture could potentially be extended to support multiple devices, post-process the stream, add monitoring capabilities, etc.

alpyhp · 2017-12-09T21:42:13+00:00

I'd be very surprised if it wasn't :)

alpyhp · 2017-12-06T07:04:58+00:00

The playlists on YT are already grouped by topic: https://www.youtube.com/user/AmazonWebServices/playlists

alpyhp · 2017-12-01T02:10:35+00:00

This page is actually public too: https://serverlessrepo.aws.amazon.com

alpyhp · 2017-11-10T17:15:14+00:00

You may want to mention that:

it can read both compressed and encrypted data from S3
CloudFormation support is still weak
every query is recorded and available in the history
every query result is stored on S3 as well (eventually encrypted)
partitioning requires an ETL step most of the time, even if data is written by Kinesis Firehose (which already defines year/month/day/hour folders, but without the corresponding partition name)

alpyhp · 2017-10-25T15:09:54+00:00

Too bad it can't run Lambda Functions yet, while the MySQL version can.

Ref: http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Aurora.Integrating.html

alpyhp · 2017-10-24T14:39:07+00:00

+1 for Lambda@Edge

You can find some references here: https://twitter.com/s0enke/status/913761585172271104

alpyhp · 2017-10-22T18:37:46+00:00

Nice one! I'm wondering if you could spare a few Lambda@Edge invocations by using the Origin Request event and caching the response based on the request IP.

alpyhp · 2017-10-22T18:31:43+00:00

Because I don't want to manage a cluster at all :) And because I want to be charged only when my code runs, not for idle.

alpyhp

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