Posts

Stream IoT data to S3 - the simple way

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First, a short introduction to infinimesh , an Internet of Things (IoT) platform which runs completely in Kubernetes :  infinimesh enables the seamless integration of the entire IoT ecosystem independently from any cloud technology or provider. infinimesh easily manages millions of devices in a compliant, secure, scalable and cost-efficient way without vendor lock-ins. We released some plugins over the last weeks - a task we had on our roadmap for a while. Here is what we have so far: Elastic Connect infinimesh IoT seamless into Elastic . Timeseries Redis-timeseries with Grafana for Time Series Analysis and rapid prototyping, can be used in production when configured as a Redis cluster and ready to be hosted via Redis-Cloud . SAP Hana All code to connect infinimesh IoT Platform to any SAP Hana instance Snowflake All code to connect infinimesh IoT Platform to any Snowflake instance. Cloud Connect All code to connect infinimesh IoT Platform to Public Cloud Provider AWS, GCP and Azu

Scalable Timeseries with infinimesh IoT platform Timeseries Plugin

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infinimesh IoT platform is built to make data privacy and data ownership possible, without any doubt. To achieve this we have build our platform in an cloud-native way and fully API driven. This allows our customer to integrate our cloud into their systems, without compromising IT Security or even move to public cloud provider. We understand ourselves as a stretched workbench for any IoT related ideas our customers might have. In this blog post we show how easy infinimesh extends to an ultra-scalable time series, designed for high throughput and rapid prototyping, using the timeseries plugin   from their GitHub space. Note that the plugin uses Redis in the standalone mode, we urgently advise to setup a Redis cluster if you want to run the plugin in production!   The plugin comes as a ready-to-ship docker container, including Redislab TimeSeries and Grafana to enable easy PoC and Hackathons.   To get it running, you need to have either a working docker environment or kubernetes  insta