Best Jasper prompts for Architectural and Engineering Managers

Given a legacy monolithic application with 500,000 lines of code, currently deployed on-premises, and a target architecture consisting of microservices on AWS, using a combination of EC2, RDS, and S3, write a detailed, step-by-step deployment script that minimizes downtime, ensures data integrity, and takes into account the existing CI/CD pipeline using Git and Jira, including any necessary modifications to the pipeline to support the new architecture, and provide a comprehensive risk assessment and mitigation plan for the migration process.

Analyze a recent spike in Defect Rate, from 2% to 5%, in a critical component of our system, using a combination of data from Jira, Git, and our monitoring tools, to identify the underlying causes, including any changes to the codebase, infrastructure, or deployment process, and provide a detailed report outlining the root causes, recommended corrective actions, and a plan for implementing those actions, including any necessary code changes, updates to our CI/CD pipeline, or modifications to our testing regimen.

Create comprehensive architecture documentation for a new microservice, including a detailed description of the service's functionality, interactions with other components, data flows, and API endpoints, as well as high-level and low-level design diagrams, using a standardized template and notation, such as UML or C4, and ensure that the documentation is consistent with our existing architecture documentation and aligned with our overall system architecture, including any relevant security, scalability, and performance considerations.

Create a detailed, step-by-step code review checklist focused on optimizing latency in our system, including checks for inefficient database queries, excessive network requests, and poorly optimized algorithms, as well as core standards for caching, buffering, and parallel processing, and ensure that the checklist is tailored to our specific technology stack and coding standards, and provides clear, actionable feedback for developers to improve the performance of their code, including examples of optimized code snippets and relevant metrics for measuring latency.