SayPro Tasks to Be Done for the Period

SayPro Monthly January SCMR-5 SayPro Monthly Monthly Classified Caching: Implement caching solutions to enhance site speed by SayPro Classified Office under SayPro Marketing Royalty SCMR

Objective:
Begin implementing partial caching for classified ads on the SayPro platform to enhance site speed and performance. The primary goal is to ensure that only the frequently updated content (e.g., ad details, images, prices, etc.) is cached, improving the load time without compromising the accuracy of the classified listings.

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Task Breakdown:

1. Analysis and Planning

• Objective: Identify which sections of the classified ads are suitable for partial caching and determine how to implement the caching mechanism efficiently.
• Steps:
  • Review current classified ads page structure and pinpoint dynamic elements (e.g., ad details, user interactions, filter results) that change frequently.
  • Define static versus dynamic content and establish which parts need frequent updates and which can be cached for longer periods.
  • Create a caching strategy that excludes sensitive or rapidly changing data, focusing on improving performance without caching time-sensitive data like user comments or current bids.
  • Set caching time intervals based on the expected update frequency (e.g., 5-15 minutes for categories with frequent changes).
  • Develop a comprehensive caching policy for different classified ad types (e.g., Job Listings, Property Ads, etc.).

2. Implement Partial Caching

• Objective: Begin the technical implementation of partial caching for classified ads to enhance performance.
• Steps:
  • Set up a caching layer (e.g., using Redis, Memcached, or server-side caching methods) to cache static content and dynamically served ads.
  • Configure the web server (e.g., Apache, NGINX) and/or application (e.g., WordPress, custom CMS) to cache ad pages selectively.
  • Integrate a cache invalidation system to ensure that cached content is updated or cleared when there is new data (e.g., a new ad submission or update).
  • Ensure that user-specific content (e.g., profile info, saved listings) is not cached to maintain personalization and privacy.
  • Test the caching mechanism on low-traffic classified ad categories to ensure no interference with real-time updates.

3. Optimize Cache Performance

• Objective: Fine-tune the caching mechanism to ensure optimal performance and minimal cache misses.
• Steps:
  • Implement cache preloading for commonly viewed classified categories (e.g., Popular Jobs, Top Listings) to speed up page loads.
  • Test cache hit rates and monitor server performance to ensure the cached content reduces load times and prevents overburdening the server with dynamic content requests.
  • Introduce cache warming strategies to ensure high-demand classified ads are pre-cached before user requests (e.g., using scheduled tasks).
  • Set a fallback mechanism for when the cache is expired or unavailable to ensure the system remains functional without compromising user experience.

4. Testing and Quality Assurance

• Objective: Test the functionality and performance of the partial caching solution.
• Steps:
  • Conduct load testing on cached classified pages to ensure the solution scales well during peak traffic.
  • Monitor the page speed improvements on the front-end (ad listings and details) and back-end (database queries).
  • Test cache invalidation scenarios to ensure that content is refreshed correctly without delays.
  • Perform user acceptance testing (UAT) to check if the caching does not affect the accuracy or freshness of classified ads.
  • Evaluate whether the implemented cache strategy impacts user experience, particularly for dynamic ad interactions such as filtering or sorting.

5. Documentation and Reporting

• Objective: Document the partial caching solution and share performance reports with relevant teams.
• Steps:
  • Document the partial caching architecture and the specific components that are being cached.
  • Prepare a performance report detailing the impact of partial caching on page load times, server load, and overall site speed.
  • Create guidelines for future content updates and cache management to ensure the solution is sustainable.
  • Share the progress and results with the SayPro Classified Office team and other relevant stakeholders under SayPro Marketing Royalty SCMR, ensuring alignment with overall objectives.
  • Review and update the documentation for caching policies as the implementation progresses and new categories or types of classified ads are added.

6. Feedback and Iteration

• Objective: Gather feedback from team members and iterate on the partial caching implementation.
• Steps:
  • Conduct a feedback session with the marketing and development teams to identify any further improvements to the caching process.
  • Assess feedback from users, especially regarding loading times and the freshness of the classified ads.
  • Iterate on caching logic based on performance data and user feedback.
  • Plan for extending caching mechanisms to other pages (e.g., search results, ad categories) based on Week 2’s outcomes.

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Outcome Expectations:

By the end of Week 2, the partial caching system should be in place for most classified ads, significantly improving the website’s speed and reducing server load. Performance testing should show marked improvements in page load times, especially for static content in classified listings. The cache should also be robust enough to handle high-traffic periods without negatively affecting the user experience.