SayPro Monthly January SCMR-5 SayPro Monthly Classified Third Party APIs: Integrate with third party APIs for additional functionalities by SayPro Classified Office under SayPro Marketing Royalty SCMR
Overview
The API Performance Monitoring Sheet is a crucial document for tracking the performance, health, and efficiency of integrated APIs. This sheet ensures that third-party API integrations within SayPro Classified function as expected, providing real-time insights into API usage, response times, error rates, and overall system health.
This document aligns with SayPro Monthly January SCMR-5 under SayPro Monthly Classified Third-Party APIs, as part of the broader SayPro Marketing Royalty SCMR initiative. The SayPro Classified Office requires this sheet to maintain smooth API operations, prevent system failures, and optimize performance for users.
1. Purpose of the API Performance Monitoring Sheet
- Track API response times to ensure quick data retrieval and prevent slow-loading pages.
- Monitor API usage to identify frequently used endpoints and potential inefficiencies.
- Detect and log errors to improve debugging and ensure seamless integration.
- Evaluate API uptime and downtime for reliability assessment.
- Ensure compliance with API rate limits to avoid service disruptions.
- Improve decision-making by identifying underperforming APIs that may need optimization or replacement.
2. Key Metrics to Track in the Monitoring Sheet
The following key performance indicators (KPIs) should be recorded and analyzed:
| Metric Name | Description | Target/Threshold | Why It Matters? |
|---|---|---|---|
| API Name | The name of the API being monitored | N/A | Helps identify which API the data refers to |
| Endpoint URL | The specific endpoint being tracked (e.g., /user/login, /ads/listing) | N/A | Specifies which API function is being measured |
| Average Response Time (ms) | The time it takes for the API to respond to requests | Less than 500ms | Ensures a fast and smooth user experience |
| Success Rate (%) | Percentage of successful API calls versus total calls made | Above 99% | Ensures reliability of the API service |
| Error Rate (%) | Percentage of failed API requests | Less than 1% | Identifies integration issues or API malfunctions |
| Downtime Duration | Total time the API was unavailable in a given period | Less than 1 hour per month | Ensures system stability |
| Rate Limit Consumption (%) | Percentage of allocated API calls used | Below 80% | Prevents API overuse and potential service restrictions |
| Peak Usage Time | The time period when the API is most frequently accessed | N/A | Helps in scaling and performance optimization |
| Data Size (MB) | The amount of data transferred per request | Below 2MB per request | Prevents unnecessary bandwidth consumption |
| API Call Volume | Number of API calls made in a specific time frame | N/A | Helps track workload and predict future needs |
3. Structure of the API Performance Monitoring Sheet
The monitoring sheet should be structured in a spreadsheet format (Google Sheets, Excel) with clearly defined columns for each metric. Here’s an example of how it should be formatted:
| Date | API Name | Endpoint | Response Time (ms) | Success Rate (%) | Error Rate (%) | Downtime (min) | Rate Limit Usage (%) | Peak Usage Time | Data Size (MB) | Call Volume |
|---|---|---|---|---|---|---|---|---|---|---|
| 01-Jan-2025 | User API | /user/login | 320 | 99.5% | 0.5% | 0 | 65% | 12:00 PM – 2:00 PM | 1.2 | 10,000 |
| 02-Jan-2025 | Ads API | /ads/listing | 480 | 98.9% | 1.1% | 10 | 72% | 4:00 PM – 6:00 PM | 1.8 | 8,500 |
- Employees responsible for API monitoring should update the sheet daily or weekly, depending on the criticality of the API.
- Automated tools can be used to pull data directly into the sheet, reducing manual entry errors.
4. API Performance Monitoring Process
A. Data Collection
- Use API monitoring tools like Postman, New Relic, Datadog, AWS CloudWatch, or Google API Monitoring to collect performance metrics.
- Log API request/response details, error messages, and timestamps into the spreadsheet.
- Identify peak usage times to anticipate system load and optimize performance.
B. Performance Analysis & Optimization
- Identify slow endpoints and determine the cause (e.g., server latency, network issues).
- Check error trends and escalate recurring issues to developers.
- Optimize API calls by reducing redundant requests and caching frequently used responses.
- Ensure compliance with API rate limits by adjusting call frequencies where necessary.
C. Reporting & Actions
- Generate a monthly performance report summarizing key findings.
- If response times exceed 500ms, initiate performance debugging with the development team.
- If the success rate falls below 99%, investigate potential API failures and escalate the issue.
- Identify underperforming APIs and propose alternative solutions.
5. Employee Responsibilities
Roles & Responsibilities for API Performance Monitoring:
| Employee Role | Responsibilities | Tools Used |
|---|---|---|
| API Developer | Debug API performance issues, optimize endpoints | Postman, API Logs, New Relic |
| IT Administrator | Ensure API uptime, troubleshoot errors | AWS CloudWatch, Google API Monitoring |
| Data Analyst | Analyze trends in API usage and performance | Excel, Google Sheets, Datadog |
| Project Manager | Oversee API performance and take corrective actions | Reports, Dashboard Tools |
Each employee involved in API monitoring must regularly update the tracking sheet and ensure that reports are delivered to the SayPro Classified Office under SayPro Marketing Royalty SCMR.
6. Compliance & Documentation Standards
To maintain consistency, all employees must adhere to the following standards:
- Update the API Performance Monitoring Sheet at the agreed frequency (daily, weekly, or monthly).
- Use standardized error codes and response times across all reports.
- Ensure data accuracy by using automated API monitoring tools when possible.
- Maintain version control to track updates and historical performance.
- Share reports with relevant teams for review and corrective actions.
7. Tools & Resources
- API Monitoring Tools: Postman, New Relic, AWS CloudWatch, Datadog, Google API Monitoring.
- Data Tracking Tools: Google Sheets, Microsoft Excel, Power BI.
- Error Logging: Sentry, Loggly, Splunk.
- Performance Analysis: Google PageSpeed Insights, Lighthouse.
8. Final Deliverables & Submission Guidelines
- Employees must submit the API Performance Monitoring Sheet as part of their regular reporting duties.
- Reports should be formatted in Excel or Google Sheets and shared with the SayPro Classified Office.
- A monthly API performance summary must be presented to management.
Conclusion
The API Performance Monitoring Sheet is an essential tool for ensuring the smooth operation of SayPro Classified’s integrated APIs. By systematically tracking API performance, response times, and errors, employees can proactively prevent system failures, optimize functionality, and improve user experience. Adhering to this structured approach will ensure that SayPro’s API ecosystem remains reliable, efficient, and fully optimized for user needs.
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