| agent: | Auto Exec |
Troubleshooting: Server is not reachable or unable to connect
Add credentials for various integrations
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
Enable "Auto Exec" and "Send Execution Result to LLM" in "Adjust Settings" if desired
(Optionally) Add ubuntu user to docker group and refresh group membership
Deployment of an EKS Cluster with Worker Nodes in AWS
Adding, Deleting, Listing DagKnows Proxy credentials or key-value pairs
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
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
Apache airflow job failed
- 1ELK8bm8WVdufROs9vuazCheck the job logs
1
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Inspect the logs of the failed job to identify the cause of the failure.inputsoutputsairflow logs <dag_id> <task_id> --task-failed-since <start_date> --task-failed-up-to <end_date>copied1 - 2VuOSCejgC061NCwwhcSFReview the error message
2
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Analyze the error message from the job logs to understand the specific issue.inputsoutputs2 - 3can331tEQqBVRxtrGwxcCheck dependencies and connections
3
Check dependencies and connections
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Ensure that all required dependencies and connections are properly configured and accessible.inputsoutputs3 - 4Nd3Dn7TrfJIRtlTho9HoVerify the DAG definition
4
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Review the DAG definition file to check for any syntax errors or misconfigurations.inputsoutputs4 - 5ILt0LfN12UDViF1g8oPUTest the job manually
5
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Execute the job manually to verify if it runs successfully outside of the scheduled execution.inputsoutputsairflow test <dag_id> <task_id> <execution_date>copied5 - 6awj3Fs6pwNHEPk96aFAZRestart the failed job
6
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Attempt to restart the failed job to see if it completes successfully on a subsequent run.inputsoutputsairflow backfill --reset_dagruns --start_date <start_date> --end_date <end_date> <dag_id>copied6 - 7Cqz6jD45sMXRAeaEMCKJSeek assistance from the Airflow community
7
Seek assistance from the Airflow community
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.If the issue persists, seek help from the Apache Airflow community or forums for further troubleshooting and guidance.inputsoutputs7