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Hello, I create a new pipeline for my application and the pipeline failed in the Build parts. the error is : **Error calling startBuild: Cannot have more than 0 builds in queue for the account (Service: AWSCodeBuild; Status Code: 400; Error Code: AccountLimitExceededException;** Thank you for helping me.

I have an EKS cluster. Version is 1.21. I started with Self Managed windows nodes I added self managed linux node group. I deployed an application on Linux node group. I am running MSSQL on Linux. I have a windows container running in Windows node group. Windows container is trying to access mssql service. It is not able to find this service. DNS resolution is working fine on Linux nodes but not working on Windows nodes. Let me know if you have any suggestions.

I am trying to use Neptune for my SaaS application. My application includes data from multiple users. I want to restrict the user's access and allow a user to access only to vertices/ edges that contain his data. I read AWS Neptune documentation and I couldn't find anything that relates to tenant isolation/access restriction. Is it possible to limit access within the graph vertices/edges?

hello, in my server,where i use AppConfig sdk ,it's show this error: software.amazon.awssdk.services.appconfig.model.BadRequestException: Feature flag configurations must be accessed via AWS AppConfig Data's GetLatestConfiguration API. (Service: AppConfig, Status Code: 400, Request ID: 412ba838-95d0-4877-a8a6-c3352bb6731c, Extended Request ID: null) I have already setup at the backup of website of aws, and there are: appConfig: application: example environment: example configuration: example can u help me how to setting my java code or give the example guide code for me.

I've heard that it's not a best practice to use aws configure to store secrets in a config file on my machine, which totally makes sense. How do I use AWS Secrets manager to get the keys when connecting to AWS requires keys in the first place? Does my question make sense? Would this code work? https://boto3.amazonaws.com/v1/documentation/api/latest/guide/secrets-manager.html

Hi. I am a little concerned that when i just logged into SES console I saw that my SES account is constantly sending approx 3 emails a day, even when not being used by my team. This has been going back months and also is showing 1.6% bounce rate and 0.9% complains in some cases on these 'unknown' emails. Is this usual? Is there a way I can see WHAT is being sent out exactly? (ie the content of the emails?) Our team can go weeks at a time without sending any SES emails, yet virtually every day it's showing 3 emails being sent out. What is going on ? Many thanks for any help I get.

Where do questions about these groups below I see there is no group for either

How does textract determine when to segment text vertically or horizontally? Is there a way to help textract do this? For example, this one https://gyazo.com/358819c526664c00922c6d231ea38fe5 vs this one https://gyazo.com/0279b6e040a91392e2ccad1f6379ae31

Amazon SES production access denied without any important reason. My Case ID 9489919231 was deny without any important reason, if Amazon SES service is so rude for new customers, why it's not described in SES docs? Why in SES docs everything look's very easy? I'm doubling here my request look at them and tell me please, someone, WHAT IS REASON? "Production access request Service: SES Sending Limits Region: us-west-2 Please enable production access ------------ Use case description: First of all, we want to say you Hello! We plan use SES to send messages, transactional messages to our members. You can look here: https://peretz-centre.org/join-us/ This is way, how visitors become members and how they being add to recipient list. All bounces, complaints and unsubscribe requests we plan to track with SNS service, when our app receive message from SNS - we will stop any sending to this address. Please enable production access on our account. Mail Type: TRANSACTIONAL Website URL: https://peretz-centre.org Replied to first deny: Usually we send messages every day, because for one year of our membership we have already about 350.000 members. So every day we receive new members requests. About recipient list maintaining, we take several tools to proceed that: 1. Service for validation and list cleaning. 2. We track all bounces and spam rates of our campaign. 3. Using segmentation and personalisation. 4. We dont send spam, only high quality content. All bounces, complaints and unsubscribe requests we plan to track with SNS service, when our app receive message from SNS - we will stop any sending to this address. We will setup serverless-ly (SNS + SQS + Lambda) so the cost should be next to nothing. And it's very effective solution. There is a lot of information from AWS how to do this - and we will do this after you enable production access on account. Thank you for attention, have a nice day!" Tell me, when Amazon Web Services will already respect customers and new users? If SES only for old users or for users with big budget - NOTIFY about that.

Hello, As we deployed Amazon SES- we tested and discovered that all of our emails are landing into promotional box of users. All the emails we send are related to sign up process. if that goes into promotions, our sign up rate is going to drop significantly. Could anyone please tell me how we can overcome this issue? Previously we were using Titan Mail, all of our emails were going to primary box. But as we deployed SES, it's landing into promotions. Even the test emails (with no links, images) Please leave a solution that will help in solving this issue. Thanks Ayush Mittal

Hello, Is there a way to ask Amazon to optimize t4g.nano instances? The issue is that it's not possible to log in using an SSH key after instance initialization and the only solution is to reboot the instance and try again. Sometimes one reboot isn't enough. I suppose this happens due to the lack of memory (512MB) for ARM64 architecture (as memory page size is bigger for aarch64) and the instance should be initialized with SWAP (256-512MB) by default.

Hi, I would like to display the cursor position in CLoud9 editor. Previously, it was displayed at the bottom right of my editor, but since a few time, the cursor coordinates is no longer available. Could you help me showing the cursor coordinates in the Cloud9 editor ?

I created a transcription JSON file (not sure what I can do with it; but I am still learning) and SRT subtitles for MP4 file in S3 bucket. Now, I obviously want to merge the two, so I can show the video with subtitles. Can I do it inside Amazon Transcribe? I know there are third-party tools to do that; but I would prefer to have a single workflow to do everything. I couldn't find anything in the docs - just a very short section on how to generate subtitles. UPDATE: I tried to create a job in AWS Elemental MediaConvert, and got the following error: Media target [1] cannot convert non-EIA-608 to EIA-608 (invalid conversion from SRT to Embedded attempted)

start from recently, our long running job are hitting metadata issue frequently. The exceptions various, but the all point to EC2 metadata service. It's either failed to connection the endpoint, or timeout to connect to the service, or complaining that I need to specify the region while building the client. The job is running on EMR 6.0.0 in Tokyo, with correct Role set, and the job has been running fine for months, just started from recent, it became unstable. So my question is: how can we monitor the healthy the metadata service? request QPS, success rate, etc. A few callstacks ``` com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.SdkClientException: Unable to load AWS credentials from any provider in the chain: [com.amazon.ws.emr.hadoop.fs.guice.UserGroupMappingAWSSessionCredentialsProvider@4a27ee0d: null, com.amazon.ws.emr.hadoop.fs.HadoopConfigurationAWSCredentialsProvider@76659c17: null, com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.auth.InstanceProfileCredentialsProvider@5c05c23d: Failed to connect to service endpoint: ] at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.auth.AWSCredentialsProviderChain.getCredentials(AWSCredentialsProviderChain.java:136) ``` ``` com.amazonaws.SdkClientException: Unable to find a region via the region provider chain. Must provide an explicit region in the builder or setup environment to supply a region. at com.amazonaws.client.builder.AwsClientBuilder.setRegion(AwsClientBuilder.java:462) at com.amazonaws.client.builder.AwsClientBuilder.configureMutableProperties(AwsClientBuilder.java:424) at com.amazonaws.client.builder.AwsSyncClientBuilder.build(AwsSyncClientBuilder.java:46) ``` ``` com.amazonaws.SdkClientException: Unable to execute HTTP request: mybucket.s3.ap-northeast-1.amazonaws.com at com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleRetryableException(AmazonHttpClient.java:1189) ~[aws-java-sdk-bundle-1.11.711.jar:?] Caused by: java.net.UnknownHostException: mybucket.s3.ap-northeast-1.amazonaws.com at java.net.InetAddress.getAllByName0(InetAddress.java:1281) ~[?:1.8.0_242] at java.net.InetAddress.getAllByName(InetAddress.java:1193) ~[?:1.8.0_242] at java.net.InetAddress.getAllByName(InetAddress.java:1127) ~[?:1.8.0_242] ``` ``` com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.SdkClientException: Failed to connect to service endpoint: Caused by: java.net.SocketTimeoutException: connect timed out at java.net.PlainSocketImpl.socketConnect(Native Method) at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350) ```

Hi, I can train models using different AWS SageMaker estimators, but when I use SageMaker AutoML Python SDK the following error occurs about 15 minutes into the model training process: "botocore.exceptions.ClientError: An error occurred (ExpiredTokenException) when calling the DescribeAutoMLJob operation: The security token included in the request is expired" The role used to create the AutoML object is associated with the following AWS pre-defined policies as well as one inline policy. Can you please let me know what I’m missing that's causing this ExpiredTokenException error? AmazonS3FullAccess AWSCloud9Administrator AWSCloud9User AmazonSageMakerFullAccess Inline policy: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": "*", "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } }, { "Effect": "Allow", "Action": [ "sagemaker:DescribeEndpointConfig", "sagemaker:DescribeModel", "sagemaker:InvokeEndpoint", "sagemaker:ListTags", "sagemaker:DescribeEndpoint", "sagemaker:CreateModel", "sagemaker:CreateEndpointConfig", "sagemaker:CreateEndpoint", "sagemaker:DeleteModel", "sagemaker:DeleteEndpointConfig", "sagemaker:DeleteEndpoint", "cloudwatch:PutMetricData", "logs:CreateLogStream", "logs:PutLogEvents", "logs:CreateLogGroup", "logs:DescribeLogStreams", "s3:GetObject", "s3:PutObject", "s3:ListBucket", "ecr:GetAuthorizationToken", "ecr:BatchCheckLayerAvailability", "ecr:GetDownloadUrlForLayer", "ecr:BatchGetImage" ], "Resource": "*" } ] } Thanks, Stefan

Hi, Is there a way to specify the instance type when training models using the SageMaker AutoML Python SDK? The AutoML.deploy method takes an instance_type argument, but the AutoML.fit method does not take an instance_type argument. Thanks, Stefan

I'm trying to load a JSON file containing a geometry in the "EnclosedJsonInputFormat" following a pattern demonstrated in the Athena geospatial query [sample](https://docs.aws.amazon.com/athena/latest/ug/geospatial-example-queries.html). The table is created but contains no data and I'm assuming there is some sort of parsing error. Is there any way to get more information on the problem?

i have two nlbs with identical target groups on http, right down to the ip addresses they upstream to. they both upstream to the same 3 ip addresses, same healthcheck port, same attributes on both the nlb and target group level. the *only* reason i have two nlbs is that 1 does tls termination on https and the other passes tls thru, but this issue is observed on the plan http target which is identical on both. the target group on the first nlb is consistent healthy, the target group on the second is constantly flapping. why would the exact same shape, same backed ips, behave differently from one nlb to the other? do i have a broken nlb?