DS diagnostic tools
Debug script
The bin/ds-debug.sh script lets you obtain diagnostic information for any DS pod running in your cluster. It also lets you perform several cleanup and recovery operations on DS pods.
Run bin/ds-debug.sh -h to refer to the command’s syntax.
The following bin/ds-debug.sh subcommands provide diagnostic information:
| Subcommand | Diagnostics | 
|---|---|
status  | 
Server details, connection handlers, backends, and disk space  | 
rstatus  | 
Replication status  | 
idsearch  | 
All the DNs in the   | 
monitor  | 
All the directory entries in the   | 
list-backups  | 
A list of the backups associated with a DS instance  | 
The following bin/ds-debug.sh subcommands are operational:
| Subcommand | Action | 
|---|---|
purge  | 
Purges all the backups associated with a DS instance  | 
disaster  | 
Performs a disaster recovery operation by executing the dsrepl start-disaster-recovery -X command, and then the the dsrepl end-disaster-recovery -X command  | 
Debug tools container
The ds-util debug tools container provides a suite of diagnostic tools that
you can execute inside of a running Kubernetes cluster.
The container has two types of tools:
- 
DS tools—A DS instance is installed in the /opt/opendj directory of the
ds-utilcontainer. DS tools, such as the ldapsearch and ldapmodify commands, are available in the /opt/opendj/bin directory. - 
Miscellaneous diagnostic tools—A set of diagnostic tools, including
dig,netcat,nslookup,curl, andvi, have been installed in the container. The file, /path/to/forgeops/docker/ds/dsutil/Dockerfile, has the list of operating system packages that have been installed in the debug tools container. 
To start the debug tools container:
$ kubectl run -it ds-util --image=gcr.io/forgeops-public/ds-util -- bash
After you start the tools container, a command prompt appears:
root@ds-util:/opt/opendj#
You can access all the tools available in the container from this prompt. For example:
root@ds-util:/opt/opendj# nslookup am
Server:		10.96.0.10
Address:	10.96.0.10#53
Name:	am.my-namespace.svc.cluster.local
Address: 10.100.20.240