I'm using AWS Media Tailor to test an ad inserting demo. The demo page is this one: https://github.com/aws-samples/aws-media-services-simple-vod-workflow/tree/master/12-AdMarkerInsertion.
When I place my manifest into a TheoPlayer I always get an 504 error. My manifes page is: https://ebf348c58b834d189af82777f4f742a6.mediatailor.us-west-2.amazonaws.com/v1/master/3c879a81c14534e13d0b39aac4479d6d57e7c462/MyTestCampaign/llama.m3u8.
I have also tried with: https://ebf348c58b834d189af82777f4f742a6.mediatailor.us-west-2.amazonaws.com/v1/master/3c879a81c14534e13d0b39aac4479d6d57e7c462/MyTestCampaign/llama_with_slates.m3u8.
The specific error is:
{"message":"failed to generate manifest: Unable to obtain template playlist. sessionId:[c915d529-3527-4e37-89e0-087e393e75de]"}
I have read about this error: https://docs.aws.amazon.com/mediatailor/latest/ug/playback-errors-examples.html
But don't know how to fix it.
Maybe I did something wrong or do I need a quote in AWS?
Any idea?
Thanks for the inquiry!
The following example shows the result when a timeout occurs between AWS Elemental MediaTailor and either the ad decision server (ADS) or the origin server.
An HTTP 504 error is known as a Gateway Timeout meaning that a resource was unresponsive and prevented the request from completing successfully. In this case since MediaTailor is returning an HTTP 504 this means that either the ADS or Origin failed to respond within the timeout period.
To troubleshoot this you will need to determine which dependency is failing to respond to MediaTailor and correct it. Typically the issue is the ADS failing to respond to a VAST request performed by MediaTailor which you can confirm by reviewing your CloudWatch logs.
https://docs.aws.amazon.com/mediatailor/latest/ug/monitor-cloudwatch-ads-logs.html
Make sure that your ADS follows the guidelines listed below for integrating with MediaTailor.
https://docs.aws.amazon.com/mediatailor/latest/ug/vast-integration.html
Related
I have an API that I host using Lambda (nodejs), with API-gateway. I'm using serverless to deploy.
Generally things have been fine, but while I was working on a specific function today, I started to receive HTTP 500 errors when hitting the endpoint. However, while there were still API-Gateway access logs for the end point, there were no Cloudwatch logs for the lambda functions getting hit. I was able to verify that the Authorizer was getting hit successfully, and not returning any issue (if it was, it would have been a 401). After using CLI tools to invoke the function from the command line, the 500 error went away and I was able to successfully hit the endpoints again.
Has anyone ever ran into this before? If I'm missing a debug step, I would really like to know. It was really concerning that my API could be generating 500 errors with no paper trail to help me understand what was happening.
You can check your role and permissions ,this link could help you https://aws.amazon.com/premiumsupport/knowledge-center/api-gateway-lambda-stage-variable-500/
Also you can debug further with X-ray : https://docs.aws.amazon.com/lambda/latest/dg/services-xray.html
I want to change the default failure message in Alexa, Sorry, I'm having trouble accessing your {} skill right now.
You cannot change that prompt but you can code to avoid that as much as possible. The error happens when Alexa is not able to get a valid response from your skill endpoint. There can be multiple reasons to that as mentioned here
1. Your endpoint is giving an invalid response
This can be due to the errors/exceptions happening in your endpoint code. You can make sure that error/exceptions don't occur and if they occur, thre is code to catch them and provide a valid response back to Alexa, with an error message of your choice.
2. Your endpoint availability
Make sure that your endpoints are available all the time if you have configured them as an endpoint. This is pretty much guaranteed if you are using Lambda endpoints. But if you are your own hosted web service endpoint, then you must put in all the measures to keep it available for Alexa to communicate with it.
3. Your endpoint response time
Make sure that your endpoint gives back the response within the time period that Alexa expects it to get(guess its 10 seconds). Also make sure if you are using Lambda functions, you have configured them with reasonable execution time to avoid timeout errors.
If you cover the exception/error/availability scenarios well then you can avoid the default error message as much as possible.
We have 2 React Native app are using AWS Cognito for authentication. We use library react-native-aws-cognito-js in our code. The apps are working fine until these 2 days. Apps are experiencing intermittent "Internal Server Error".
How can I find more information about this error? Any tool can help us pinpoint the cause?
Update
From CloudTrail, each API call has an event "CreateNetworkInterface". Many of such API calls have error code "Client.NetworkInterfaceLimitExceeded". What is the cause and solution to this?
According to this AWS Doc (in Chinese), CloudWatch will not write to log when error is due to insufficient IP/ENI. That explains the increase in error number but no logs in CloudWatch.
Upate 2
We have found a scheduled Lambda job which may exhausted IP addresses. We stopped the batch job. But still can't have too many user login to server due to "Client.NetworkInterfaceLimitExceeded" error. I realized that there are many "CreateNetworkInterface" event and few "DeleteNetworkInterface" event. How can I "clean up / reset" all network interface in VPC?
Short answer: Cloud Trail.
Long answer with a suggestion
Assuming your application code is fine, most likely the cause of your 500 error is based on Cognito's initial limitations (e.g., number of calls per user): https://docs.aws.amazon.com/cognito/latest/developerguide/limits.html.
AWS suggests to use Cloud Trail, for logging Api calls.
However I would suggest, to prove the limitations first, add some logs around the api call yourself, and in development you could call your app/api with a high number of calls; and most likely you will see the 500 error due to the limitations.
You could do the following in the terminal:
for i in `seq 1 1000`; do curl --cookie SecureCookie=TokenValueFromAWS http://localhost:desirablePort/SecuredPath; done
we run a website that obtains location data through the Google Place API. We have 150k daily searches available, which we haven´t met yet as the website has been live for few weeks only. We have suddenly received a 502 error. A notification in the Console says: “The server encountered a temporary error and could not complete your request.”. Is this a temporary error? Is there any suggestions on what we can do? The website hasn’t been available for 40 minutes.
When you receive 5xx status or UNKNOWN_ERROR in the response, you should implement a retrying logic. Google has a following recommendation in their web services documentation:
In rare cases something may go wrong serving your request; you may receive a 4XX or 5XX HTTP response code, or the TCP connection may simply fail somewhere between your client and Google's server. Often it is worthwhile re-trying the request as the followup request may succeed when the original failed. However, it is important not to simply loop repeatedly making requests to Google's servers. This looping behavior can overload the network between your client and Google causing problems for many parties.
A better approach is to retry with increasing delays between attempts. Usually the delay is increased by a multiplicative factor with each attempt, an approach known as Exponential Backoff.
https://developers.google.com/maps/documentation/directions/web-service-best-practices#exponential-backoff
However, if retrying logic with Exponential Backoff doesn't help and the error persists for a long time you should file a bug in Google issue tracker
I hope this addresses your doubt!
UPDATE
There was an issue on Google side yesterday (November 6, 2017), you can refer to the following bug that explains the issue:
https://issuetracker.google.com/issues/68938173
I have a Java 7 "agent" program running on several client machines (mostly Windows XP). My "agent" uploads client files to Amazon S3 and often I get this error:
RequestTimeTooSkewed
I know this is because the client's computer system time difference is too large compared to Amazon's. Here's my problem: I can't control the client's computer (system) time! So, I don't want Amazon to care about time differences.
I heard about jets3t, but I'm hoping not having to resort to yet another tool (agent footprint must remain small).
Any ideas how to remove this check and get rid of this pesky error?
Error detail:
Status Code: 403, AWS Service: Amazon S3, AWS Request ID: 59C9614D15006F23, AWS Error Code: RequestTimeTooSkewed, AWS Error Message: The difference between the request time and the current time is too large., S3 Extended Request ID: v1pGBm3ed2J9dZ3sG/3aDrG3DUGSlt3Ac+9nduK2slih2wyaAnc1n5Jrt5TkRzlV
The error is coming from the S3 service, not from the client, so there really isn't anything you can do other than correct the clock on the client. That check is being done on the service to help detect and prevent replay attacks so it's an important part of the overall security of the service.
Trying a different client-side SDK won't help.