You're tasked with integrating multiple third-party APIs. How do you ensure optimal app performance?

1. Determine the key app features that rely on API data to improve user experience and functionality. 2. Define precisely the data needed from APIs to avoid unnecessary calls, which can affect app performance and resource efficiency. 3. Set appropriate schedules for fetching data based on real-time needs to conserve resources and ensure timely updates. 4. Streamline API usage by fetching only essential data, minimizing redundant requests to maintain app speed and resource usage. 5. Align API integrations with your app's structure to enhance performance and simplify maintenance, avoiding compatibility issues. 6. Use asynchronous requests to manage API calls without blocking the main app thread, improving responsiveness and user interaction.

"Master the Art of API!" API integration is an art. It's a delicate balance between accessing necessary data without compromising app performance. In the milieu of mobile applications, optimal performance is a crucial factor that cannot be undermined. Before you begin, identify your app's needs. This includes understanding which features are vital and what data you require from the APIs. This step is critical as it helps you avoid superfluous calls that can hinder your app's performance. For example, if your app only needs weather updates once an hour, avoid setting it to pull data every few minutes. In essence, being judicious with API requests is the key to maintaining an efficient and responsive app.

- It has been noticed that when calling 3rd party APIs, the developers elude the software architecture of the application. This result in bad performance and code manageability. - Asynchronous Requests should be made for the good performance and reduce load on main thread. - Cache the response for future use where possible - Keep updating the code base with lastest version of 3rd party API.

- Determine the core functionalities your app needs from the APIs. Focus on features that directly enhance user experience or app functionality. - Clearly define what data your app requires from the APIs. Avoid unnecessary data calls that can impact performance and consume unnecessary resources. - Set appropriate intervals for data retrieval based on real-time needs. For example, fetching weather updates once an hour instead of every few minutes conserves resources and maintains app responsiveness. By carefully assessing and optimizing your API integration strategy, you can ensure that your app operates efficiently while delivering the necessary functionality to users.

Check what you need from the libraries and start working depending on that need. Optimize your calls by only calling what you need, when you need. For example, making multiple API calls for something you only need 1 API call for it will make your app slower.

- Whenever feasible, consolidate multiple API requests into a single call. This reduces overhead and improves efficiency by fetching all necessary data in one go. - Use caching mechanisms to store frequently accessed data locally on the device. This avoids redundant network requests for data that hasn't changed since the last retrieval, enhancing app responsiveness and conserving bandwidth. - Opt for efficient data formats like JSON over XML, as they are typically lighter and quicker to parse, leading to faster data transmission and processing. - Transmit only essential data fields rather than entire datasets to minimize payload size and speed up communication between your app and the API.

Minimize API calls as much as possible. If you need multiple responses check if you can add them to one API to get 1 response. Whenever you increase the number of API calls you will increase the chance for an API failure.

- Limit the paginated responses to a reasonable number, for example, 20 - Consider caching/storing API calls based on your scenario, if an API returns a response that you need on multiple screens, save the response once and use it elsewhere, and make sure to update it only when needed

Ein weiterer wichtiger Aspekt der Optimierung von API-Aufrufen ist eine effiziente Fehlerbehandlung und Überwachung. Durch Mechanismen zur Erkennung und Behebung von Fehlern in Echtzeit können Systemausfälle und Leistungsprobleme schnell adressiert werden. Überwachungswerkzeuge ermöglichen es, die Leistung der API-Aufrufe kontinuierlich zu analysieren und Engpässe oder Anomalien frühzeitig zu erkennen. Zudem tragen klare und informative Fehlermeldungen dazu bei, die Ursache von Problemen schneller zu identifizieren und zu beheben, wodurch die Zuverlässigkeit und Verfügbarkeit der Anwendung insgesamt gesteigert wird.

As chamadas da API precisam estar relacionadas as atividades-chave do projeto. Utilizar chamadas a cada hora sem a necessidade de atualização, pode prejudicar a utilização a longo prazo. Pense realmente nas necessidades reais de cada chamada e seu tempo de interação.

Errors will eventually happen, technology breaks and that’s normal. Important checklist: do you have an alert in place to let you know if an error happens? Do you have a classification of these errors in terms of criticality/impact on your business? Do you know all the possible reasons for failure? Do you have a protocol in place for when an error happens? Can you fix it or does it need 3rd party intervention? Do you have SLAs in place with your 3rd party?

Sure, here are concise points on handling errors with third-party APIs: - Prepare for potential API outages or changes by staying updated on API status and updates. - Implement fallback methods like using cached data or alternative APIs to maintain app functionality during API downtime. - Display user-friendly messages that explain API issues and guide users on next steps, ensuring transparency and user confidence. - Design your app to gracefully handle API failures without crashing, allowing uninterrupted use of non-dependent features. - Test your app rigorously to simulate API failures and validate error handling mechanisms across various scenarios.

Whenever you do an API call there is a chance for this API to fail, you cannot assume that it will always work. So for that, you need to handle the error whether an API call failed or some network error happened.

- Add user-friendly error popups when they occur. - Add suggestions to fix the issue, for example, prompting the user to reload the data with some description and a reload button - Consider relying on cached data to show to the users as a fallback case, depending on the scenarios. - Minimize API calls as much as possible to minimize the possibility of errors to happen

Erros vão acontecer. É importante entender cada erro agir rápido para não perder escala na operação. Em alguns casos, refazer a integração da API vai encurtar o caminho dos erros, pois nem sempre é possível relacionar erros da API com alguma operação realizada da forma incorreta.

- Use tools to track API response times and error rates. - Alerts help identify problems before they affect users. - Analyze data to pinpoint bottlenecks or inefficiencies. - Use metrics to optimize API integrations proactively. - Maintain high-quality user experience through regular performance reviews.

It is always recommended to use the latest version of any 3rd party API. When you do the update, you increase your security and decrease the chance for a bug to happen. But you need to test your app after the update to ensure your app is still working as expected.

- Track third-party API update cycles and deprecations. - Keep dependencies up to date to prevent compatibility issues. - Avoid automatic updates to prevent unexpected changes. - Test new API versions in a controlled environment before user rollout.

- Update dependencies regularly to make sure you have the latest versions with the latest fixes - Make sure you are using stable releases unless blading edges features are needed and considered - Read the release notes carefully, and check GitHub issues before updating to a major new release - Use Migration guides when possible to follow specific steps written by the developers themselves

Use caching strategies to minimize redundant API calls, reducing latency and improving app performance. This also helps in handling high traffic scenarios more efficiently, ensuring a smoother user experience.