Top 15 KPIs for OpenText Documentum
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The document outlines the importance of monitoring key performance indicators (KPIs) for the Documentum system to ensure optimal performance and server health. It emphasizes tracking metrics such as end-user response times, transaction performance, and server load across various components to identify potential bottlenecks. The document also highlights the role of performance metrics in supporting application adoption, security audits, and capacity planning for improved productivity and user experience.
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Top 15 KPIs for OpenText Documentum
- 1. OpenText速 Documentum Top 15 KPIsTop 15 KPIs OpenText Documentum
- 2. What Do You Know About Your Documentum System? Can you determine overall server health? Is your system operating at its peak? Do you know if your Documentum system is available? How many users are actively using the system? Are you meeting end customer SLAs? How long does it take for a user to check out a document? Do you have insight into processor load, memory consumption and disk space? What types of transactions are users running?
- 3. Without Deep Documentum Insight Poor Experience ? Chaotic IT Security Holes Lost Productivity
- 4. Three Types of Metrics to Prioritize Performance Processing Stats Server Health
- 5. Performance KPIs End-User Response Times Gain objective SLA information Content Repository Transaction Performance Know if repository operations are performing at peak levels Database Query Performance Understand performance level of database Application Interface Transaction Performance Know if DFC/DFS/REST/CMIS operations are at peak performance 1 2 3 4
- 6. Processing Stats KPIs End-User Transaction Counts Understanding application use by knowing distribution and frequency Application JVM Session Counts Determine load across application instances Repository Session Counts Ensure proper operating levels 5 6 7
- 7. Processing Stats KPIs Process Queue Levels Understand server load to identify potential processing bottlenecks Transaction Queue Levels Understand server load to identify potential processing bottlenecks Indexing Queue Levels Understand server load to identify potential processing bottlenecks 8 10 12 Process Results Identify problems with workflow Rendition Processing Verify successful transformation of test documents Process Results Identify problems with indexing processes 9 11 13 Workflow Transformation Indexing
- 8. Server Health KPIs Available Repository Storage Ensure continuous document production CPU and Memory Usage Track over time, gain insight into server capacity and performance 1514
- 9. Performance Metrics: A Piece of the Puzzle Application Adoption Behavioral Security Audit Support Upgrade Planning Capacity Planning Private Cloud Visibility Performance Analytics
- 10. Security Operations Experience Reveille Offers Complete Visibility
- 11. How It Works
- 12. Get In Touch reveillesoftware.com info@reveillesoftware.com 877.897.2579 linkedin.com/company/ reveille-software/ @reveillesoftwre youtube.com/ reveillesoftware/
Editor's Notes
- #11: THE POINT: Summarize the pillars and introduce Reveille as the answer to content experience.
- #12: THE POINT: Make it real and prove that what we do is non-trivial. Show where we fit in the world. Take them through how we look at the problem and how we solve it. THE SCRIPT: This wheel graphics is intended to show the cyclical process of how we work. If I can direct your eyes to the lower right corner, well start there. Sources are the list of solutions in your content services platform. You may have many of these in use across your enterprise. Reveille has focused on this area to know the best ways of getting comprehensive data out of that app through APIs, logfiles, infrastructure elements, and more. The harvest stage is about getting the data out of the app, understanding the infrastructure that supports it, and quite importantly, user transaction data. This hard-fought and extremely valuable data is concentrated in our datastore where the next stage of Analyze distills and processes the raw data into actionable insight. This insight can be immediately and automatically acted upon, or simply visualized. During the visualize stage, you can take advantage of the rich and flexible dashboards, cards and visuals to peer into your content services platform and truly understand what is happening across a wide variety of use cases and disciplines. These rich visualizations can be accessed across any device, making it powerfully simple to get the answers youre looking for. Whether through automated reaction via Analyze, or human-directed via Visualize, the next logical step may be to act. Weve done the heavy lifting of understanding how to reach into these sources (and their supporting infrastructure) and cause change to occur. For an impressively wide range of actions, from suspending access for a user who is displaying suspect behavior to restarting an indexing agent if the queue is backing up, we clean up and streamline the reaction process to keep everything running smoothly, securely and productively. This wheel keeps the productivity in your enterprise turning!