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I have built the below ml pipeline in sklearn. I need to replicate the same in the Sagemaker instance as well. 1. Separate dataset based on X attribute, say we have base separated dataset into 3 **segments**. 2. For each **segment**, Run PCA and Clustering and save the processed output. Assume we got 3 micro-segments for each **segment** above, then we have 9 micro segments (3 x 3). 3. Then I need to run the classification algorithm on every 9 micro-segments. Thank you and appreciate your support!

The "DeleteUser" log has a "null" value on "responseElements" filed. Is there any flag I can raise so that the delete_user action will return the "userId" in the response? The scenario is: create then delete in loop users with the same name. I should determine the correlation between creating and deleting logs in real time. I can determine what "create" action is related to what "delete" action since they all have the same name.

I require support for preserving traces from different teams in Xray with the following attributes. The XRay backend used to store all traces will be provisioned in a single centralized account. Note that applications are integrated with OpenTelemetry libraries and will be submitting traces to XRay using ADOT collector. * maintain separate keys, one per team, for encryption of trace data at rest * separate IAM roles to provision access of keys and trace data such a team cannot access traces from other teams. * maintain separate configurations for sampling rates, rate limits, quotas, etc. A feasible option for implementing these requirements seems to be using tracing groups. Groups can be created using filter expressions based on certain pre-defined attributes in a trace such as service prefix, unique per team. However, XRay lacks configuring multiple keys for encrypting traces and IAM policies to control read access to traces and service graphs don't support resource level permissions or condition filters. There is also a limit of 25 groups per account. Due to these limitations, we cannot use groups. Are there alternate approaches for implementing my aforementioned requirements?

Hello there, How can I update PHP to 7.4 version or upper?

I'm using cloud trail to trigger an event bridge rule, and every time new deployment takes place duplicate s3 buckets are being created for cloud trail logs, how do I prevent this through CDK?

I am able to connect CodeBuild with CodeCommit via NAT gateway in public subnet -> Internet Gateway. As both CodeCommit & CodeBuild are on AWS, I am trying to avoid using Internet Gateway. Here's what I have done so far - Created endpoint for CodeCommit - Attached it to private subnet - Configured CodeBuild to use the same subnet I am curious on what can be done here to avoid using Internet Gateway.

I have use-case where the Producer Java lambda publishes file messages to SQS and Consumer Nodejs consumes them. Producer side of X-ray is enabled in serverless.yml; displays a Service map with all AWS components with a new Trace Id. The Consumer side of Nodejs lambda; is enabled with another Trace Id. I see a single service map, but with two clients. I guess it is because of the 2 separate Trace Ids. Is it possible to make single Trace Id by propagating it end to end?

I've setup my AWS SSO profile on my windows PC and it's working fine in on AWS toolkit with VS Code. However the same profile is giving me the following error when I try AWS toolkit for Visual Studio 2022. I have tried adding AWSSDK.Core new nuget package but still keep failing with the same error. New nuget package is version 3.7. Not sure if AWS Toolkit is looking for the exact 3.3 version of awssdk.Core. I am wondering if anyone has had any success with SSO on AWS Toolkit-Visual Studio 2022? Assembly AWSSDK.SSOOIDC could not be found or loaded. This assembly must be available at runtime to use Amazon.Runtime.SSOAWSCredentials, AWSSDK.Core, Version=3.3.0.0, Culture=neutral, PublicKeyToken=885c28607f98e604.

Hello, I am trying to create a study that opens in the mturk webpage instead of a new window. In the study we are using webcam and I got this message when publish the study in sandbox (so I could try it out). Warning message says: Unable to connect to your webcam, please try again. Perhaps it is being used by another application. So what should I edit in the HTML format so I can give access to webcam using the same page? Is that the solution or should I try to search something else?

Got started with creating a repo using codecommit , respective users (IAM) with needed policy AWSCodeCommitPowerUser. Also have integrated Jenkins in aws ec2instance using the security credentials of the IAM user. The issue is that code is not getting checked out. There is a old post on code commit integration with jenkins https://aws.amazon.com/blogs/devops/integrating-aws-codecommit-with-jenkins/ (mentions service role tagging with policy) however there is no mention of the same in the current info center

I have created a multi-container model in SageMaker notebook and deployed it through an endpoint. But while attempting to do the same through a SageMaker Studio Project (build, train and deploy model template), I need to register the multi-container model through a 'sagemaker.workflow.step_collections.RegisterModel' step, which I am unable to do. What I understand till now is multi-container model is created through boto3 api call. I haven't found a way to create it using 'sagemaker.model.Model' and hence not being able to register it. Please help.

Hi everyone, I've setup some Codepipeline infrastructure using CDK and would like to monitor the historic logs of codepipeline runs. But after a pipeline has run, the logs just disappear (From the CodePipeline dashboard, as well as cloudwatch). I can see the success or failed pipeline instances in the historic view, but I can't see the logs for each specific run. How can I keep the historic logs for a specific retention period?

Is it possible to deterministically generate a URL for CloudWatch Log Insights given the log group, start time, and query (text area that allows fields, sorts, filters, etc...)? The URL is extremely long and does not have standard URL encoding from what I can tell. There are plenty of suggestions in the below Stack Overflow post about the topic but I was curious if there was a more official guide to doing this? https://stackoverflow.com/questions/60796991/is-there-a-way-to-generate-the-aws-console-urls-for-cloudwatch-log-group-filters

I'm using powershell to create inbound IP rules for an EC2 Instance sec group. I'm running the following code. ` $IpRange = New-Object -TypeName Amazon.EC2.Model.IpRange $IpRange.CidrIp = "<IPAddr>/32" $IpRange.Description = "Sean" $IpPermission = New-Object Amazon.EC2.Model.IpPermission $IpPermission.IpProtocol = "tcp" $IpPermission.ToPort = 3389 $IpPermission.FromPort = 3389 $IpPermission.Ipv4Ranges = $IpRange Grant-EC2SecurityGroupIngress -GroupId sg-00xxxx -IpPermission $IpPermission` It seems to work just fine at the cmdline, but nothing gets pushed to AWS. Is there something else I need to do?

I'm deploying a node application in aws using aws codepipeline. appspec.yaml version: 0.0 os: linux files: - source: / destination: /home/ubuntu/my-app overwrite: true hooks: BeforeInstall: - location: scripts/before_install.sh timeout: 300 runas: ubuntu AfterInstall: - location: scripts/after_install.sh timeout: 300 runas: ubuntu ApplicationStart: - location: scripts/application_start.sh timeout: 300 runas: ubuntu before_install.sh #!/bin/bash sudo apt-get update curl -sL https://raw.githubusercontent.com/nvm-sh/nvm/v0.35.0/install.sh -o install_nvm.sh bash install_nvm.sh export NVM_DIR="$HOME/.nvm" [ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh" # This loads nvm [ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion" # This loads nvm bash_completion nvm install --lts npm install --location=global yarn yarn global add pm2 So node, npm, yarn and pm2 is installed. Since yarn is used to intall pm2 if this runs then yarn should be successfully installed. after_install.sh #!/bin/bash cd /home/ubuntu/my-app yarn install yarn run build After running I get following error after_install.sh: line 7: yarn: command not found after_install.sh: line 8: yarn: command not found When look at build error it seems like yarn only not available in after_installation hook. 2022-06-20 18:21:49 [stdout]Installing latest LTS version. 2022-06-20 18:21:49 [stderr]v16.15.1 is already installed. 2022-06-20 18:21:50 [stdout]Now using node v16.15.1 (npm v8.11.0) 2022-06-20 18:21:51 [stdout] 2022-06-20 18:21:51 [stdout]changed 1 package, and audited 2 packages in 489ms 2022-06-20 18:21:51 [stdout] 2022-06-20 18:21:51 [stdout]found 0 vulnerabilities 2022-06-20 18:21:51 [stdout]yarn global v1.22.19 2022-06-20 18:21:51 [stdout][1/4] Resolving packages... 2022-06-20 18:21:51 [stdout][2/4] Fetching packages... 2022-06-20 18:21:51 [stdout][3/4] Linking dependencies... 2022-06-20 18:21:52 [stdout][4/4] Building fresh packages... 2022-06-20 18:21:52 [stdout]success Installed "pm2@5.2.0" with binaries: 2022-06-20 18:21:52 [stdout] - pm2 2022-06-20 18:21:52 [stdout] - pm2-dev 2022-06-20 18:21:52 [stdout] - pm2-docker 2022-06-20 18:21:52 [stdout] - pm2-runtime 2022-06-20 18:21:52 [stdout]Done in 1.27s. 2022-06-20 18:21:54 LifecycleEvent - AfterInstall 2022-06-20 18:21:54 Script - scripts/after_install.sh 2022-06-20 18:21:54 [stderr]/opt/codedeploy-agent/deployment-root/faee375f-f793-4b89-b57e-78c445c6c02b/d-WCHP7OWQH/deployment-archive/scripts/after_install.sh: line 7: yarn: command not found 2022-06-20 18:21:54 [stderr]/opt/codedeploy-agent/deployment-root/faee375f-f793-4b89-b57e-78c445c6c02b/d-WCHP7OWQH/deployment-archive/scripts/after_install.sh: line 8: yarn: command not found

I want to add a multi region access point policy to my cloudformation template and I am getting a syntax error as undefined resource when running the cloudformation template Template error: instance of Fn::GetAtt references undefined resource m67ckh1qr8zan.mrap Can someone help me with the correct format of declaring and using a multi region access point by a cloudformation template. Thanks.

I want to install iam athenticator in a cloudshell environment, but I keep getting an error when I run the following command. curl -o aws-iam-authenticator https://s3.us-west-2.amazonaws.com/amazon-eks/1.21.2/2021-07-05/bin/linux/amd64/aws-iam-authenticator It returns this error. Warning: Failed to create the file aws-iam-authenticator: Permission denied I'm following a tutorial and I'm not sure why I get the above error and I cannot continue the tutorial without iam_authenticator installed.

I have been searching high and low and have been unable to find any instructions on how to connect CodeCommit with Xcode, if anyone can help provide a source or something I would be most appreciative.