Long term analytics on the traffic
Keep your logs as long as you want in Splunk. This way, you are able to make trend analyses of the data traffic in your organization.
Connect SAP Process Orchestration and Splunk easily with our innovative monitoring suite and gain deeper insights into your business data running through SAP Process Orchestration! Using Splunk’s mighty power, the Process Orchestration monitoring suite helps you reach your ultimate goal of complete end-to-end monitoring for your systems and business processes.
Consisting of three components, we built the ideal Splunk Monitoring Application for SAP Process Orchestration. The powerful combination of an accelerator for SAP along with an add-on and an application deployed on Splunk makes the possibility of end-to-end integration data monitoring reality. The app comes with prebuilt dashboards on pre-defined data models enabling quick and smooth setup.
A quick glimpse into the SAP PO landscape hosted on different machines (OS). Helpful for Business Owners to get insight into the messages by different statuses, channel level information in its different states. Also, CPU utilization, memory utilization and last uptime of both SAP PO machine as well as the uptime of the machines on which SAP PO is hosted.
Full insight into SAP PO message traffic. Gain visibility on message information like message count, message size, processing time per interface. Facilitates push of selective messages from SAP PO integration flows to Splunk. Search and correlate to gain full operational insight on business data. It supports extraction of interface-specific metadata along with XML payloads. It supports both synchronous and asynchronous messaging. It also supports the visibility into the messages processed per node.
Get insight into the failed messages. Interactive dashboard to find any interface in failure along with the root cause of the failure. Insight into the sender component, receiver component and namespace for the interfaces in failure along with the message id and timestamp. Node level information is also visible as in count of messages that failed per node. Its also interesting to see the messages failed by different statuses of PO like canceled or system error.
Get insight into the total number communication channels and the different states that they are in. Visibility into the services that the channels are associated with, along with their asctivation state and channel state. Its also interesting to gain visibility into the last uptime and last downtime of the channels. Gain insight into the top 10 services of SAP PO consuming most channels.
Gain insight into the health of the machine on which SAP PO is hosted. Gain insight in terms of CPU utilization, memory utilization, uptime of SAP PO machine and the machine on which SAP PO is hosted, current running processes, information abou the disk usage. Its interesting to also view the trends of all these parameters as well.