agent: | Auto Exec |
What is an "Expert"? How do we create our own expert?
Add credentials for various integrations
Managing workspaces and access control
DagKnows Architecture Overview
Setting up SSO via Azure AD for Dagknows
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Deployment of an EKS Cluster with Worker Nodes in AWS
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Comprehensive AWS Security and Compliance Evaluation Workflow (SOC2 Super Runbook)
AWS EKS Version Update 1.29 to 1.30 via terraform
Instruction to allow WinRM connection
MSP Usecase: User Onboarding Azure + M365
Post a message to a Slack channel
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Execute a simple task on the proxy
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Create roles to access credentials in proxy
Install OpenVPN client on Windows laptop
Setup Kubernetes kubectl and Minikube on Ubuntu 22.04 LTS
Install Prometheus and Grafana on the minikube cluster on EC2 instance in the monitoring namespace
update the EKS versions in different clusters
AI agent session 2024-09-12T09:36:14-07:00 by Sarang Dharmapurikar
Parse EDN content and give a JSON out
Check whether a user is there on Azure AD and if the user account status is enabled
Get the input parameters of a Jenkins pipeline
How to initialize a boto3 client using credentials from vault
This task outlines the process of initializing a Boto3 client in Python using credentials securely retrieved from a vault, employing the _get_creds() function.
cred_label = 'myAppAwsCredentials' creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password']
It focuses on establishing a secure method to access AWS services by fetching the necessary AWS credentials (access key and secret key) from a secure vault, ensuring best practices in security and credential management are followed.
aws_service_name_client = boto3.client( 'aws_service_name', aws_access_key_id=access_key, aws_secret_access_key=secret_key, region_name=region_name )
Input Parameters for Boto3 Client Initialization:
- cred_label (String): An identifier used to retrieve specific AWS credentials from the vault.
- region_name (String): The AWS region where the service (DynamoDB, in this case) is located. This parameter is crucial for directing the Boto3 client to the correct regional endpoint.
- access_key (String): The AWS access key ID retrieved from the vault. It is used to authenticate the Boto3 client with AWS.
- secret_key (String): The AWS secret access key retrieved from the vault. Along with the access key, it forms the credentials for AWS authentication.