You're developing a mobile app. What APIs should you use for web development?

The APIs you use for web development depend on the specific functionalities and features you want to incorporate into your mobile app. Google Maps JavaScript API: - Provides interactive maps, markers, directions, geocoding, and Street View imagery. - Allows customization of maps - Offers a JavaScript API for embedding maps into web pages. Mapbox API: - Offers customizable and highly flexible maps that can be embedded into web applications. - Supports vector maps and offers various SDKs and APIs for web development. When choosing a maps API you need consider factors like ease of integration, pricing, customization options, geographical coverage

Building seamless payment functionality is vital for mobile commerce apps to drive conversion. > Assess needs and target audience first – will you process credit cards directly, necessitating PCI compliance, or keep it third party via PayPal? > Offer ApplePay and GooglePay taps for native speed. Enable tokenization storing info for streamlined repeat checkouts. > Choose payment gateways like Stripe or Braintree to simplify complex infrastructure integration across platforms. > Square furnishes holistic functionalities beyond payments like inventory or payroll. Optimization tools like Paytm examine checkout abandonment friction points.

Since its a mobile app that we're building, we must try to externalize and integrate certain components instead of building into the app. One such thing is Authentication. Instead of building a custom Login functionality inside the app, it's a best practice to plugin an external authentication providers. Firebase, AWS Cognito via Amplify, Azure AD B2C are some good examples of Auth Aggregators - they provide Auth services and can also integrate external Auth providers such as Google, Facebook, Hotmail etc. This eliminates the need to build one yourself and makes the app a bit lightweight. Also, it now follows the standards (OAuth2, OpenID..) and is assured to be secure.

Insight into user engagement, behavior flows, and friction points fuel app stickiness. Embed analytics early with SDKs like Google Firebase, AWS Pinpoint, or Mixpanel breakpointing experiences while safeguarding data privacy. > Assess session lengths to determine the typical visit depth. > Review screens tapped most to identify value centers and problem areas causing exit. > Gain clarity on churn predictors based on usage trends for at-risk preemption.

As mobile apps scale, seamlessly integrating remote storage and syncing minimizes device limitations. Cloud repositories like Amazon S3, Microsoft Azure, or Google Cloud furnish mass capacity for everything from user-generated content libraries to data pipelines. Choose strategically based on bandwidth and retrieval needs. Examine respective content delivery networks, optimizing distribution and minimizing latency. Implement compression, caching, and hierarchy systems to enhance performance. Build future flexibility supporting likely integrations like AI recommendation engines requiring vast datasets. Establish ironclad access authentications and routine backups, preventing disruption.

Injecting machine learning into apps scales otherwise implausible personalization to heighten engagement. Leverage pre-trained models via Vision APIs like Google Cloud Vision detecting emotion for contextual messaging. Speech translation services through Azure Cognitive Services and Alexa Skills streamline global voice interactions. Recommendation algorithms from collaborative filters dynamize content proposals aligning with evolving user interests. Leverage APIs to classify complex datasets and power predictive inputs. For offline functionality, CoreML downloads models directly onto iOS devices.