iOS & Android Development

Learn, measure, and build using architectural best practices The Well-Architected Framework has been developed to help cloud architects build secure, high-performing, resilient, and efficient infrastructure for their applications. Based on five pillars — operational excellence, security, reliability, performance efficiency, and cost optimization — the Framework provides a consistent approach for customers and partners to evaluate architectures, and implement designs that will scale over time. Framework Operational Excellence Security Reliability Performance Efficiency Cost Optimization AWS Amazon

Firebase SLA Firebase will use commercially reasonable efforts to make Firebase available with a Monthly Uptime Percentage (defined below) of at least 99.95%, in each case during any monthly billing cycle (the "Service Commitment"). Firebase SLA Service Level Agreement for Hosting and Realtime Database Firebase Status Page Why Firebase sucks In the 3 years since starting to use Firebase we’ve suffered from so many outages I’ve literally lost count. @ Medium.com Status History Overview Statusgator Does anyone has real-life experience with the stability of Firebase or Firestore? Please leave a comment! We heared that Firestore is much more stable than Firebase which usage for new project is discouraged...

How to wire an existing database Postgres, Google Firebase, mongoDB or even a JSON dump to an GraphQL API with custom mappings using  https://hasura.io/ . Vladimir Nocick @ Medium.com

Destroying Backends with Serverless Destroying Backends with Amplify Destroying Backends Amplified Mobile App Development with React Native and AWS Amplify Introducing the AWS Amplify GraphQL Client AWS Amplify API Docs Amplify GraphQL client The Amplify GraphQL client is a lighter weight option if you’re looking for a simple way to leverage GraphQL features and do not need the offline capabilities or caching of the Apollo client. If you need those features, choose the AWS AppSync SDK. AWS AppSync SDK The AWS AppSync SDK enables you to integrate your app with the AWS AppSync service and integrates with the Apollo client found here. The SDK supports multiple authorization models, handles subscription handshake protocols for real-time updates to data, and has built-in capabilities for offline support that makes it easy to integrate into your app.

7 Reasons to Choose Consumer-Driven Contract Tests Over End-to-End Tests In a distributed system, testing the successful integration between distributed services is essential for ensuring that the services won’t fail in production just because they’re not speaking the same language. This article discusses three approaches to implementing integration tests between distributed services and shows the advantages of Consumer-Driven Contract tests. Reflectoring.io Testing a Spring Boot REST API against a Consumer-Driven Contract with Pact Consumer-driven contract tests are a technique to test integration points between API providers and API consumers without the hassle of end-to-end tests. A common use case for consumer-driven contract tests is testing interfaces between services in a microservice architecture. In the Java ecosystem, Spring Boot is a widely used technology for implementing microservices. Pact is a framework that facilitates consumer-driven contract tests. So let’s ...

Serverless The serverless application framework. Over 21,000 GitHub stars and counting. Medium.com How we migrated our startup to serverless The team decided to ditch all of our EC2 containers and instances in favor of using AWS Lambda within a serverless architecture. To help us orchestrate all of our AWS Lambda functions, we selected the Serverless Framework. A cloud guru

The ephemeral nature of AWS Lambda functions might have you believe that techniques like in-memory caching cannot be utilized like you would with a conventional server, but that’s not the case! Let’s check out why. TJ Holowaychuk on Medium.com Even though you can't fully rely on them, our experimentation has shown that global variables can be used for some opportunistic caching. Amazon Lambda launches a number of computer instances to run function invocations, and keeps them alive for an unspecified period of time, which may be several hours. During this time, Lambda functions can access cached data previously stored in global variables. When a function invocation happens to run on a fresh instance, data has to be fetched from a more persistent source again. Amazon AWS Lambda data caching solutions compared