Must Have
60-90 days
Scalability & Reliability
Implementing measures to ensure the product can handle increasing user loads and maintain consistent performance and uptime. This includes designing the system to scale efficiently and building redundancy to prevent and mitigate failures.
IMPLEMENTATION
Scalability:
Design the system architecture with scalability in mind, using microservices or modular components.
Implement horizontal scaling by adding more servers or instances to handle increased loads.
Use load balancers to distribute traffic evenly across servers.
Optimize database queries and indexing for performance.
Utilize content delivery networks (CDNs) to cache and deliver content faster to users globally.
Implement auto-scaling policies to automatically adjust resources based on demand.
Reliability:
Set up redundancy for critical components, such as servers, databases, and network connections.
Use failover mechanisms to switch to backup systems in case of failures.
Implement regular backups and disaster recovery plans to ensure data and service continuity.
Monitor system performance and health with monitoring tools and set up alerts for potential issues.
Conduct regular stress testing and performance testing to identify and address bottlenecks.
Ensure proper logging and incident management procedures are in place to quickly identify and resolve issues.
TIPS
Involve experienced architects and engineers in designing the system for scalability and reliability.
Regularly review and update the scalability and reliability plans based on usage patterns and feedback.
Use cloud services and infrastructure that offer built-in scalability and reliability features.
Test the system under different load conditions to ensure it can handle peak traffic.
Document all scalability and reliability measures for future reference and maintenance.
WHY IMPORTANT
Essential for ensuring the product can grow with user demand and remain operational under various conditions.
R
DevOps, Engineering
A
DevOps
C
Product Management, IT
I
Executive Team, Operations, QA, Customer Support