The solution is used as a runtime for microservices developed in Node.JS for a SaaS mobile solution. We had +/- 20 microservices which serve an app developed for Android and iPhone. The microservice has a direct connection to MySql, PostgreSQL, and identity services. The solution is hosted in the IBM Cloud Dallas region, and the clients (mobile app) are in Peru and South America. Most of the users use just 4G to access the services. The use case doesn't require high availability of the services, and it was enough not to invest in redundancy.
Senior Consultant at a tech services company with 11-50 employees
Real User
2020-04-28T18:06:00Z
Apr 28, 2020
The aim was to use the smartphone for an IoT project. Our objectives were to show how sensor data generated by the smartphone could be sent, stored, and visualized using the MQTT protocol. Environment consisted of following prerequisites: * Ubuntu * Node-RED * Node.js * Web service We made use of the IBM Watson IoT Platform, a cloud-hosted service, instead of building a platform from scratch. Then, we created web apps on IBM Cloud Foundry that processes, visualizes, and stores the data. We also had to design the flow in Node-RED.
Platform-as-a-service (PaaS) is a kind of cloud computing service in which, rather than having to build and maintain their own infrastructure, a client is able to develop, run, and manage applications on a platform that is provided by a third-party provider. The provider hosts both software and hardware, freeing the client from having to install and handle them in-house.
The solution is used as a runtime for microservices developed in Node.JS for a SaaS mobile solution. We had +/- 20 microservices which serve an app developed for Android and iPhone. The microservice has a direct connection to MySql, PostgreSQL, and identity services. The solution is hosted in the IBM Cloud Dallas region, and the clients (mobile app) are in Peru and South America. Most of the users use just 4G to access the services. The use case doesn't require high availability of the services, and it was enough not to invest in redundancy.
The aim was to use the smartphone for an IoT project. Our objectives were to show how sensor data generated by the smartphone could be sent, stored, and visualized using the MQTT protocol. Environment consisted of following prerequisites: * Ubuntu * Node-RED * Node.js * Web service We made use of the IBM Watson IoT Platform, a cloud-hosted service, instead of building a platform from scratch. Then, we created web apps on IBM Cloud Foundry that processes, visualizes, and stores the data. We also had to design the flow in Node-RED.