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Maintain integrations with decoupled systems as part of regular application upkeep (e.g., review retry policies, dead-letter handling processes, or alert thresholds as traffic and message volume grow over time).
Data maintenance
Archive old data that is no longer needed.
Remove unnecessary objects (e.g., unused media assets, unused reusable content items, inactive contacts, unsent emails, old contact activities, etc.).
Deploy new content and changes from a staging environment to keep the production environment clear of unfinished drafts.
Scenario
Large database causing performance issues
A client was utilizing nearly all available features.
Since they lacked data monitoring and a maintenance strategy, the database grew rapidly (100+ GB) and began slowing the system. Eventually, the added load exceeded the capabilities of their environment, and the site went down.
In this case, the project was a large website with hundreds of thousands of pages, and over 100 million contacts, activities, and analytics entries.
With the data cleaned up, they implemented a plan to monitor the database size and manage data growth, for example, by deleting inactive contacts and activities.
Monitoring
Monitoring your project provides insight into what you can optimize and improve, and informs you of the solution's overall health.
Environment
Monitor resource utilization on the server (e.g., CPU, RAM, HDD).
Monitor website availability with uptime services.
Monitor website responsiveness / performance.
Consider checking the performance from different geographic locations.
Monitor the health and limits of your messaging infrastructure (e.g., broker availability, queue throughput, or service quotas), especially if your solution depends on decoupled integrations.
Application
Monitor application errors, warnings, 404 errors, and other issues.
Monitor message processing errors, retry rates, consumer lag, and dead-letter traffic for integrations with decoupled systems.
Use infrastructure-level monitoring and alerting for broker and queue health, and use the Xperience Event log to investigate application-level processing failures.
Data
Keep an eye on online marketing data and any custom analytics data you store in your database.
Monitor all data, such as visitor activity, page views, etc., as they can grow rapidly during high traffic.
Create automatic processes to delete inactive contacts.
Keep online marketing data for 6 to 12 months to provide the necessary data for contact groups, marketing automation, and other marketing features.
Monitor the size of all database tables.
Define rules to handle outdated content.
Monitor content for broken links.
What's next?
We hope this handbook has given you an idea of some important things to consider and watch out for throughout your Xperience project.
Let us know if you come across anything that needs additional explanation, and we will do our best to cover it in updates and future materials.