Welcome to AWS re:Post

Hello, I have an application that writes and reads data in S3. 1. When running this application in eg AppRunner, credentials are passed through roles and policies (this works) 2. When I run the application directly from Visual Studio, the credentials are taken from the locally configured credentials file in C:\Users\user\.aws. (this works) However, I have a problem with passing the credentials as I want to run the application in the docker container, but locally, how to pass these credentials during e.g. docker run? I've tried several ways before, but none of them worked As part of the tests, I even did something like this, but it also doesn't work: docker run -e AWS_ACCESS_KEY_ID=<my_aws_access_key> -e AWS_SECRET_ACCESS_KEY=<my_aws_secret_access_key> -e AWS_DEFAULT_REGION=us-east-1 -p 8081: 8080 test040722: 1.0

Starting yesterday (7/3/2022), any time I attempt to request a number either through the Amazon Connect control panel or via an API, I receive an error message that reads "We couldn't claim your phone number. Please try again. If you need help, please contact AWS Support". I have tried this with both DID and Toll-Free numbers and receive the same result. I only have 3 numbers active (I had 5 but I released those), so I don't think it's a quota issue unless there is a wait between release and request. Anyone have any suggestions?

Hello, I have read an instruction and followed all the way it guides. However, my google form link is not working with MTurk with this message: "Layout does not contain any fields for Workers to provide responses. Please include at least one field (input, select, or textarea)" Could you help me address this issue? Thank you.

Hi guys, so a company I work with has created an organization on AWS and added my account into the organization to do the relevant website work with Amplify. I have completed this work but we have noticed that the work I have done doesn't show on the Amplify on his end. Is this not possible to do in organizations? Is there a workaround or a more efficient way of syncing work across accounts? Thanks.

1. I am trying to implement a solution that integrates aws comprehend targeted sentiment along with step functions. And then make it public for people to use it as an api. 2. I need to wait until the job is complete before being able to move forward with the workflow. Since the comprehend job is asynchronous, **I created a wait time poller to periodically check the jobs status** using describe_targeted_sentiment_detection_job. Following a similar integration pattern as this https://docs.aws.amazon.com/step-functions/latest/dg/sample-project-job-poller.html. 3. However, there is seems to be a **Concurrent active asynchronous jobs quota of 10 jobs** according to https://docs.aws.amazon.com/comprehend/latest/dg/guidelines-and-limits.html#limits-active-jobs. If this is the case, I was thinking of **creating another poll to check if comprehend is free to do targeted sentiment before starting another comprehend job** 4. Given that the step functions charge for each polling cycle. And that there is a concurrent job limit of 10. I am worried about the backlog and respective costs that may be created if many step-function executions were to be started. For example, if 1000 workflows are started. Workflow number 1000 will have to be polling for an available comprehend job for a long time. Does anyone know if a solution is available to get around the concurrent active asynchronous jobs quota or to reduce the cost of step functions continually polling for a long time?

When I create a Cognito user pool with MFA configured as optional and TOTP as the only option for MFA (i.e., SMS option not selected), I receive the following error at the final step of creating the user pool. It says that selecting SMS is required, which, again, appears as optional in that section of the user pool configuration screens. It looks like I am able to add MFA with TOTP to the user pool after creation. So, this seems like a mistaken validation within user pool creation. I don't see any designated place to post this seeming bug report, so I'm posting it here. ``` [InvalidParameterException] Failed to create user pool requestId: ee9444ef-19fd-4275-b220-c5a114ef47cb time: Mon Jul 04 2022 14:03:04 GMT-0400 (Eastern Daylight Time) code: InvalidParameterException message: SMS configuration and Auto verification for phone_number are required when MFA is required/optional ```

When I open the Model details in the Amazon SageMaker console, the details clearly show Tags that have been added to the model during it's creation. | Tags | | Key | | sagemaker:project-name | | aws:cloudformation:stack-name| | sagemaker:deployment-stage| | sagemaker:deployment-stage| But the Search API provided by Amazon SageMaker, [https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Search.html]() mentions only the following resources can be searched for using Tags: Valid Values: TrainingJob | Experiment | ExperimentTrial | ExperimentTrialComponent | Endpoint | ModelPackage | ModelPackageGroup | Pipeline | PipelineExecution | FeatureGroup | Project | FeatureMetadata I wish to obtain Model details, not the ModelPackageGroup/ModelPackage details, using Tags so if there is a way to do that, please share. Also if there is no way to obtain it using Tags, like the Search API Documentation suggests, what is the purpose of the Tags still present in the Model details?

Hi, We notice that the logical mapping directories have a limit of 50 by a user, there is an instance where we can request an increase in this limit? Thanks

Hi there, I have a DynamoDB configured with GSI. And there is my table info. | Item count | Table size | Average item size | | --- | --- | --- | | 11,023 | 44.4 megabytes | 4,028.76 bytes | I want to truncate the table and is looking for the simplest and minimal impact way. Here are my research so far, but some articles do mention "truncate" operation on UI to be able to empty the data of a table, but I cannot find it myself in the AWS console UI. * solution 1. delete + re-create table will do the work, * solution 2. would be batch scan and delete using bash + CLI Thanks for your time! Leo

Hi, The default broker limitations mentions the max-queues and max-length as 10K and 12M for the m5.4xlarge cluster instance type. However, it does mention that these limits are based on the assumption that an average message size is 5KB. For my requirement, we need more queues and our average message size is not going to exceed 200 Bytes. Also the length of each queue will not exceed 100. 1. Does this mean we can increase the max-queue number? 2. Not sure if the below calculations are correct: Max-Length of queues = 12000000 Avg Message size = 5KB Total size = max-length * avg message size = 60GB. Does this mean that we have 60GB for messages in the m5.4xlarge cluster instance in total ?

Can't deployed vm that I downloaded from getway backup to install and bagin Synchroniz my data

I wanted to create a Pod in a EKS Kubernetes Cluster containing images from a private ECR repository. Since I'm new to Kubernetes and AWS I have followed firstly this [guide](https://docs.aws.amazon.com/eks/latest/userguide/sample-deployment.html), and I had no problem. Then I changed the eks-sample-deployment.yaml by substituing the image URI "public.ecr.aws/nginx/nginx:1.21" with the one I want to upload, but at the end when I run the command > $ kubectl get all -n eks-sample-app I get the following output > NAME READY STATUS RESTARTS AGE > > pod/eks-sample-linux-deployment-595499475c-cnfwp 0/1 CrashLoopBackOff 1 (8s ago) 63s > > pod/eks-sample-linux-deployment-595499475c-qxsgt 0/1 CrashLoopBackOff 1 (7s ago) 63s > > pod/eks-sample-linux-deployment-595499475c-sgj5m 0/1 CrashLoopBackOff 1 (8s ago) 63s Does anyone how to solve this error?

I want to deploy python flask app on aws lambda using lambda container. I tried using sam. It didn't work. It was expecting a lambda handler function. Is there a way of writing lambda handler to translate it to flask format?

Hi, I am unable to access table "Risk_model_user"."All_diss", even through I am a cia & s_cia user. getting error as : Permission denied on S3 path: s3://bucket-eu-west-1-787511913082-user/reg-data-support/files/Source_Code/EBA_PD_MART/SourceTables/ALL_DIS2_2020_01/20201029_065934_00018_7mazn_21177acf-1177-4b6c-98a1-5cbe59f43b60 This query ran against the "risk_models_user" database, unless qualified by the query. Please post the error message on our forum or contact customer support with Query Id: 96d89bfb-6691-4eab-9abb-0b67cb3f06dc

Hi, I am seeking some basic plain english assistance please. Any assistance will be great appreciated. I have a temperature sensor Thing receiving MQTT data. * The Things name is: TestThing * The data includes 4 fields: "TS", "datetime", "class", "data" * The published Topic is: TestTopic * The IoT Core MQTT Test Client payload displays as: {"TS": 1656941515, "datetime": 04/07/2022 23:31:55, "class": Temperature, "data": 11} I do not know how to fill out the IoT Core rule correctly, and I am also not sure if the SiteWise Asset propertyAlias is correct. Based on what i have read (see below), the latest failure is: **IoT Core Rule config UI** * SQL Statement: SELECT * FROM 'TestTopic' * Property Alias: TestTopic * Time in seconds: ${TS} * Data type: DOUBLE * Value: ${data} * IAM role: created via the UI - create new role I have used Data type: DOUBLE although i note the incoming data is seen within IoT Analytics as integer. The SiteWise model Measurement definitions is also set to DOUBLE **SiteWise config** * Model Measurement definitions: Temperature * Asset Measurement: Temperature * Asset Measurement - Temperature field (enter a property alias): TestTopic I believe i have created the model and asset correctly. Although, I am not sure if i understand the what exactly is the Property, and thus the propertyAlias. based on the above, I believe i created the propertyAlias for the Temperature field as: TestTopic **Setup and read history** The setup is super simple for testing. A single IoT thing, pulling in MQTT topic data. The Thing was created as a single Thing with certificates. A MODBUS sensor connected to a gateway with MQTT. No OPC server, no Greengrass, no Lora. IoT Analytics and AWS QuickSight services can access the data. I have read: 1) all the AWS suggested questions, 2) the manual - docs pages on SiteWise IoT Core data ingestion, including the tutorial section, 3) the AWS workshop pages, 4) watch every wonderful Youtube on the topic (not many). Key articles read: https://docs.aws.amazon.com/iot-sitewise/latest/userguide/ingest-data-from-iot-things.html https://docs.aws.amazon.com/iot/latest/developerguide/iotsitewise-rule-action.html https://docs.aws.amazon.com/iot-sitewise/latest/userguide/connect-data-streams.html https://docs.aws.amazon.com/iot-sitewise/latest/userguide/iot-rules.html https://iot-sitewise.workshop.aws/en/40_aws-iot-sitewise-data-ingestion.html https://repost.aws/tags/TAGaSyCvg-SI2w6FYqm1H2RQ/aws-io-t-site-wise

https://docs.aws.amazon.com/connect/latest/adminguide/concepts-queue-based-routing.htmlhttps://docs.aws.amazon.com/connect/latest/adminguide/concepts-queue-based-routing.html Based on the routing describe in this link, imagine if we have an agent who can take calls from both English and Spanish queues. Does that mean that we have to make another Routing profile for English-Spanish Reservation as agent can only be added to one Routing Profile? If yes, we are running into the problem of having too many groups to manage if agents can handle multiple skills or train for these . For example, if we have queues for each of the following products that Agents can learn about: Television (TV) Microwave (MW) Mobile Phone (MP) Then we will need following routing profiles: Television - agents that know only about TV Microwave - agents that know only about MW Mobile Phone - agents that know only about MP TV-MW - agents that know about TV and MW TV-MP - agents that know about TV and MP MW-MP - agents that know about MW and MP TV - MW - MP - agents that know about all three products This means with each new product/skill, the number of combinations for routing profiles grow exponentially. One way to solve this would be to have the ability to add an Agent into multiple groups. However, that is not possible. Is there a way around this?

I m trying to find the AWS Support monthly charges in Bills page or Cost Explorer, but fail. The AWS account I m working on is a member of an AWS Organization, our Support Plan was upgraded to Business in June 2022. I logged in as an IAM user with some permissions (aws-portal:\*, ce:\*) in Bills page and Cost Explorer. Following a knowledge center article 'How am I billed for AWS Support?' (https://aws.amazon.com/premiumsupport/knowledge-center/support-billing/ , see content quoted below), I cannot find Support section in Bills page anyway. > **How am I billed for AWS Support?** > > I want to sign up for a paid AWS Support plan, and I want to know how I'm charged for it. > > **Resolution** > > When you sign up for a paid AWS Support plan, your payment method is charged a prorated minimum monthly service charge on your first monthly bill. If applicable, usage charges that exceed the monthly minimum charge are also billed at the end of the month. > > You can see your monthly charges, including your prorated charges, by expanding the Support section on your [Bills](https://console.aws.amazon.com/billing/home#/bills) page. My Question: is there any suggestion for finding AWS Support monthly charges of an AWS Organization member account? Thanks.

Here is the context of my zip file. I installed a python package with "`python setup.py install --prefix=.`" command. And this package doesn't exist on pypi so I have to install this way. ``` zip -sf test.zip Archive contains: python/ python/openapi_client.egg-info/ python/openapi_client.egg-info/top_level.txt python/openapi_client.egg-info/dependency_links.txt python/openapi_client.egg-info/requires.txt python/openapi_client.egg-info/PKG-INFO python/openapi_client.egg-info/SOURCES.txt python/dist/ python/dist/openapi_client-1.0.0-py3.8.egg python/lib/ python/lib/python3.8/ python/lib/python3.8/site-packages/ python/lib/python3.8/site-packages/openapi_client-1.0.0-py3.8.egg python/build/ python/build/bdist.linux-x86_64/ ```