The Policy Hub component is currently experiencing significant performance issues. Both GET and POST endpoints are responding extremely slowly in versions 1.0 and 1.1. This epic aims to address and resolve these performance bottlenecks by running comprehensive performance tests and implementing system performance improvements.
Objectives
To identify the causes of the slow response times in the current Policy Hub implementation.
To conduct thorough performance testing of all GET and POST endpoints.
To optimize the system's performance to meet acceptable response time benchmarks.
User Stories
User Story 1: Performance Testing Setup
As a QA Engineer,
I want to set up a performance testing environment for the Policy Hub,
So that I can simulate various usage scenarios and measure the response times of GET and POST endpoints.
Acceptance Criteria:
A performance testing environment is established with the ability to mimic production load.
Test scripts for all GET and POST endpoints are created.
Baseline performance metrics are recorded for current implementation.
User Story 2: Performance Issue Identification
As a Performance Analyst,
I want to identify the performance bottlenecks in the Policy Hub component,
So that the development team can target specific areas for optimization.
Acceptance Criteria:
Performance testing results are analyzed to identify slow-performing endpoints.
System resource utilization is monitored to pinpoint any inefficiencies.
A report detailing the performance issues is compiled for the development team.
User Story 3: Code Optimization
As a Backend Developer,
I want to optimize the codebase for the Policy Hub,
So that the GET and POST endpoints respond more quickly.
Acceptance Criteria:
Code is reviewed and refactored for performance improvements.
Database queries are optimized for faster data retrieval.
Caching strategies are implemented to reduce load on the servers.
User Story 4: Infrastructure Enhancement
As a DevOps Engineer,
I want to improve the Policy Hub infrastructure,
So that it can handle high traffic and deliver fast responses.
Acceptance Criteria:
Server configurations are tuned for optimal performance.
Load balancers are configured to efficiently distribute traffic.
The infrastructure is scaled up or optimized to meet the demand.
User Story 5: Performance Testing and Monitoring
As a QA Engineer,
I want to perform post-optimization performance tests,
So that I can verify that the performance improvements meet our benchmarks.
Acceptance Criteria:
Post-optimization performance tests are conducted.
The response times for GET and POST endpoints are within acceptable limits.
Continuous monitoring is set up to alert for any future performance degradations.
User Story 6: Documentation and Knowledge Sharing
As a Technical Writer,
I want to document the performance optimization process,
So that the team can reference and maintain the improvements over time.
Acceptance Criteria:
Documentation is updated to reflect the changes made during optimization.
A knowledge-sharing session is conducted to educate the team on best practices for maintaining performance.
Out of Scope
Overhauling the entire Policy Hub architecture.
Adding new features to the Policy Hub component.
Non-Functional Requirements
The Policy Hub should respond to GET requests within 2 seconds under normal load.
The Policy Hub should process POST requests within 3 seconds under normal load.
System uptime should not be compromised during the performance optimization process.
Summary
The Policy Hub component is currently experiencing significant performance issues. Both GET and POST endpoints are responding extremely slowly in versions 1.0 and 1.1. This epic aims to address and resolve these performance bottlenecks by running comprehensive performance tests and implementing system performance improvements.
Objectives
User Stories
User Story 1: Performance Testing Setup
As a QA Engineer, I want to set up a performance testing environment for the Policy Hub, So that I can simulate various usage scenarios and measure the response times of GET and POST endpoints.
Acceptance Criteria:
User Story 2: Performance Issue Identification
As a Performance Analyst, I want to identify the performance bottlenecks in the Policy Hub component, So that the development team can target specific areas for optimization.
Acceptance Criteria:
User Story 3: Code Optimization
As a Backend Developer, I want to optimize the codebase for the Policy Hub, So that the GET and POST endpoints respond more quickly.
Acceptance Criteria:
User Story 4: Infrastructure Enhancement
As a DevOps Engineer, I want to improve the Policy Hub infrastructure, So that it can handle high traffic and deliver fast responses.
Acceptance Criteria:
User Story 5: Performance Testing and Monitoring
As a QA Engineer, I want to perform post-optimization performance tests, So that I can verify that the performance improvements meet our benchmarks.
Acceptance Criteria:
User Story 6: Documentation and Knowledge Sharing
As a Technical Writer, I want to document the performance optimization process, So that the team can reference and maintain the improvements over time.
Acceptance Criteria:
Out of Scope
Non-Functional Requirements
Milestones