Handling AJAX Timeout in a CI/CD Pipeline for a Distributed Team Using Axios
I'm maintaining legacy code that I'm following best practices but I tried several approaches but none seem to work. I've been banging my head against this for hours. Working on a project where our distributed team relies heavily on Axios for AJAX requests, I've noticed that sometimes our requests fail due to timeouts, especially when the CI/CD pipeline is running tests concurrently. We have a microservices architecture, and the services can take varying amounts of time to respond, which adds to the complexity. Recently, while integrating a new feature that fetches user data from our backend, I encountered a scenario where a request to the `/api/users` endpoint would time out if the service was under heavy load during testing. I attempted to set a custom timeout in the Axios request like this: ```javascript axios.get('/api/users', { timeout: 5000 }) .then(response => { console.log('User data:', response.data); }) .catch(error => { if (error.code === 'ECONNABORTED') { console.error('Request timed out'); } else { console.error('An error occurred:', error.message); } }); ``` This worked for reducing the number of timeout errors; however, it was still evident that under load, the requests would fail intermittently. To troubleshoot, I increased the timeout threshold, which helped, but it felt like a band-aid solution. In our CI/CD setup, we're using Docker containers for the backend services, and after profiling the application, I found that the services themselves might be causing bottlenecks due to resource constraints during peak testing times. I've also tried using retries with exponential backoff: ```javascript const fetchWithRetry = async (url, retries = 3) => { for (let i = 0; i < retries; i++) { try { const response = await axios.get(url); return response.data; } catch (error) { if (i === retries - 1) throw error; await new Promise(res => setTimeout(res, Math.pow(2, i) * 1000)); } } }; ``` This approach did improve reliability, but the root issue remains. Community recommendations point to optimizing our service endpoints or possibly utilizing a message queue to decouple requests from the immediate response requirements. Has anyone faced similar challenges in a CI/CD environment? What strategies or patterns did you find effective in mitigating AJAX request timeouts while ensuring reliable automated testing? Any insights on best practices for handling such scenarios would be greatly appreciated. Any help would be greatly appreciated! I'm working on a service that needs to handle this. I'd be grateful for any help.