| agent: | Auto Exec |
What is an "Expert"? How do we create our own expert?
Add credentials for various integrations
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DagKnows Architecture Overview
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(Optionally) Add ubuntu user to docker group and refresh group membership
Deployment of an EKS Cluster with Worker Nodes in AWS
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Comprehensive AWS Security and Compliance Evaluation Workflow (SOC2 Super Runbook)
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Instruction to allow WinRM connection
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How to debug a kafka cluster and kafka topics?
Open VPN Troubleshooting (Powershell)
Execute a simple task on the proxy
Assign the proxy role to a user
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
Evaluate all AWS CloudTrail configurations to verify that log file validation is enabled; return NON_COMPLIANT if any trail does not have log file validation enabled. Tabulate the results.
This script evaluates AWS CloudTrail configurations to verify log file validation and tabulates the compliance results.
- 1qfDwORROx9FaHNzmMwD6Evaluate all AWS CloudTrail configurations to verify that log file validation is enabled; return NON_COMPLIANT if any trail does not have log file validation enabled.
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There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This script evaluates AWS CloudTrail configurations to verify log file validation and prints the compliance results.
inputsoutputsimport boto3 import json # Initialize AWS CloudTrail client client = boto3.client('cloudtrail', aws_access_key_id=getEnvVar('AWS_ACCESS_KEY_ID'), aws_secret_access_key=getEnvVar('AWS_SECRET_ACCESS_KEY'), region_name='us-east-2') # Fetch all trails response = client.describe_trails() trails = response.get('trailList', []) # Initialize compliance results compliance_results = [] # Check each trail for log file validation for trail in trails: trail_name = trail.get('Name') log_file_validation_enabled = trail.get('LogFileValidationEnabled', False) compliance_status = 'COMPLIANT' if log_file_validation_enabled else 'NON_COMPLIANT' compliance_results.append((trail_name, compliance_status)) # Print compliance results print(json.dumps(compliance_results, indent=4))copied1 - 2iFG8JsHHkXI3lTUCjMj7Tabulate the results of the AWS CloudTrail log file validation evaluation.
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Tabulate the results of the AWS CloudTrail log file validation evaluation.
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This script tabulates the results of AWS CloudTrail log file validation compliance evaluation.
inputsoutputstable = context.newtable() table.num_rows = len(compliance_results) + 1 # Adding 1 for the header row table.num_cols = 2 table.title = "AWS CloudTrail Log File Validation Compliance" table.has_header_row = True table.setval(0, 0, "Trail Name") table.setval(0, 1, "Compliance Status") for i, result in enumerate(compliance_results, start=1): table.setval(i, 0, result[0]) table.setval(i, 1, result[1]) print("Tabulation of AWS CloudTrail log file validation compliance results completed successfully.")copied2