Introduction

Are you looking to get more actionable insight out of your Oracle CPQ implementation? Do you want an easy to understand dashboard that keeps you informed about the health of your CPQ application? You’ve come to the right place. 

The GitHub project orm-la-cpq-stack-sample, is an Oracle Cloud Infrastructure Resource Manager stack configuration for OCI Logging Analytics and Oracle Configure, Price, Quote (CPQ) event log analysis setup.

This integration configures Logging Analytics components and dashboards for Oracle CPQ events analysis and enables continuous REST API log collection. Log collection is run by the Management Agent, which is a service enabled on an OCI Compute Instance.

Features

Using this integration CPQ customers can quickly gain insight into the performance of product configurations, quote management, and deal negotiation tasks. Ensuring their CPQ applications are fast and reliable is essential to Oracle’s customers for maintaining competitiveness in today’s dynamic B2B environment and the CPQ – Logging Analytics integration makes it easy to gain insights about CPQ performance.

Keeping a handle on the performance of your CPQ applications can be difficult due the large volume of data that is generated each day. Couple that volume with the complexity of each interaction in your business that is reflected in the logs and the challenge of gaining insight becomes very expensive and labor intensive. The CPQ – OCI Logging Analytics integration will help you wrangle your log data. Here’s how:

Automate

OCI services enable CPQ customers to automate ingest, enrichment, and analysis of event logs.

Automate log collection

Using OCI native services, CPQ admins can automate the continuous collection of CPQ event logs and easily visualize, create alerts, and run advanced analytics on Oracle CPQ performance logs with Logging Analytics.

Automate alerts

OCI Logging Analytics supports a rich selection of alert mechanisms including via email, SMS, Slack, or PagerDuty,

Monitor

Ensure your business goals are consistently met by leveraging Logging Analytics dashboards to surface important information.

Display overall application health

With pre-built dashboards, business leaders and their teams can easily review top-level metrics and determine the overall health of their CPQ applications. The CPQ performance dashboard contains both summary and trend information on number of requests, request response times, and number of unique users. Each metric is broken out by node, event type, and component.

Monitor trends in your CPQ application

Take advantage of Logging Analytics pre-built machine learning algorithms to view behavior over time of key CPQ metrics including:

  • Number of concurrent users
  • Average response time
  • Frequency of Model actions

Monitor performance threats

CPQ admins can now leverage the parsing and data enrichment including Geolocation and Threat Scores for public IPs that come pre-configured in the integration to set up alerts that keep the team informed of any performance threats or degradations so that any incident is handled quickly.

Troubleshoot

Logging Analytics enables analysis of long-term performance trends, user activity analysis, and object changes through its Log Explorer interactive analytics interface. CPQ admins can leverage these interactive tools to identify trends and perform root cause analysis.

Act

When emergencies occur, ensure that your team is immediately aware of the issue and are given both data and context to be able to solve it as quickly as possible. OCI Logging Analytics allows you to specify alerts that can be configured based on event criteria thresholds you configure and broadcast to your team.

Summary

Don’t forget to check out the GitHub project: orm-la-cpq-stack-sample. Happy hunting!

~sn