I will use load balancing and auto-scaling as well as performance monitoring to ensure smooth operations and prevent bottlenecks.

First, understand how users are going to use the service, and how exposed it is going to be to the outside world. Most performance bottlenecks are due to high service usage. To address these, several measures can be taken: - Ensure that caching is implemented for frequently accessed components of the service. For ex. implement edge caching to avoid sending requests to backend servers running the cloud service. - Implement auto-scaling to allow backend servers to horizontally scale out during peak service usage, and scale in, based on key service performance metrics. - Configure a firewall (like AWS WAF) to scan requests coming in before they hit backend servers, to mitigate DOS and DDOS attacks risks. - Optimize your code

Need to enable baseline metrics and tools to monitor performance from day one. Implement auto-scaling, load balancing, and caching to handle demand spikes efficiently. Use CDNs to optimize content delivery and reduce latency. Regularly stress test and profile workloads to identify bottlenecks before they impact users. Monitor with real-time dashboards and set up alerts for abnormal behavior. Optimize database queries and ensure efficient API design to prevent slowdowns. Continuous monitoring and proactive adjustments keep your cloud service running smoothly.

Use Load Balancing: Distribute traffic evenly to avoid overloading individual servers. Monitor Performance Continuously: Analyze data regularly to identify potential bottlenecks and address issues quickly. Optimize Code and Databases: Ensure that both are efficient to minimize latency and improve overall performance. Auto-Scaling: Implement auto-scaling to handle spikes in traffic without manual intervention. Leverage Caching: Use caching mechanisms to reduce database load and speed up response times. Conduct Stress Testing: Simulate heavy traffic loads before launch to identify weaknesses in your infrastructure.

To avoid potential performance bottlenecks when launching a new cloud service, consider the following best practices:- 1. Scalable Architecture Design. 2. Efficient Data Management. 3. Monitoring and Optimization. 4. Optimized Code and Application Layer. 5. Cloud-Native Services and Infrastructure. 6. Network Optimization. 7. Data Redundancy and High Availability. 8. Cloud Provider Best Practices. By focusing on these aspects, you'll be better prepared to avoid performance bottlenecks and ensure your cloud service remains reliable and responsive even under heavy load.