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· 6 min read

Apache StreamPipes saves the day when it comes to connecting to data sources in the IIoT world. Want to do more with your IIoT data than just analyze it in a dashboard? If so, this blog post is for you! We'll show you how to extract historical data from StreamPipes, use it to train a machine learning model, bring the model back to StreamPipes using ONNX, and apply the model to live data.

anomaly-detection

· 9 min read

9 minutes to read

We're excited to share the release of StreamPipes 0.93.0, bringing with it a range of bug fixes and new features. This release places a strong emphasis on refining the technical foundations of StreamPipes, featuring significant changes that set the stage for our major 1.0 release. Nevertheless, we haven't overlooked the end-user experience and have implemented several enhancements. Let's delve into the key updates introduced in this release.

· 3 min read

8 minutes to read

We are pleased to announce the release of StreamPipes 0.92.0, which includes several bug fixes, performance improvements, and new features. This version focuses on enhancing the technical aspects of StreamPipes. Let's explore the key updates in this release:

· 5 min read

14 minutes to read


The Apache StreamPipes community is delighted to announce the release of Apache StreamPipes version 0.91.0! The biggest highlight of this release is the birth of our official StreamPipes Python library. Apart from that, we have made a lot of improvements under the hood, especially in terms of improving the development experience (e.g., by introducing and enforcing code style rules). Nevertheless, our new version includes more than 90 improvements and bug fixes in total.

· 4 min read

5 minutes to read


The Apache StreamPipes community is pleased to announce the immediate availability of Apache StreamPipes version 0.90.0! In total, this release was focused on stabilization and closes 57 issues with improvements and bug fixes as well as some new features such as adapters and data sinks.

· 5 min read

6 minutes to read


The Apache StreamPipes (incubating) community is delighted to announce the release of Apache StreamPipes version 0.70.0! Key highlights of this release include many enhancements to the data explorer for fast exploration of IoT data and a brand new asset management that allows importing and exporting of StreamPipes resources. In addition, our new version includes more than 50 improvements and bug fixes.

· 6 min read

10 minutes to read

This tutorial shows how you can stream sensor data into StreamPipes from a simulation environment (Factory I/O). The simulation environment is controlled by a "Siemens S7-1200" PLC and shows a conveyor belt which sorts packages by their height. The tutorial is based on the upcoming version 0.70.0 and teaches you how to load the sensor data, build a pipeline, preprocess the data and create visualizations.

plc

· 4 min read

5 minutes to read


The Apache StreamPipes (incubating) community is pleased to announce Apache StreamPipes version 0.69.0! The most notable highlights of this release include a completely reworked data explorer for quick exploration of IoT data and advanced user and access rights management. In addition, our new release includes more than 80 improvements and bug fixes.

· 5 min read

8 minutes to read


The Apache StreamPipes (incubating) community is pleased to announce Apache StreamPipes version 0.68.0! The latest release brings many improvements related to health management of pipelines and pipeline monitoring, improved user guidance such as a live preview in the pipeline editor and better handling of pipeline updates as well as several new data processors and sinks such as support for NATS. In addition, the release contains several bug fixes related to K8s deployment, PLC adapters and pipeline management.

· 12 min read
StreamPipes on k3s**
15 minutes to read
**

This blog post is the second part of a series on how we want to bring StreamPipes closer to the edge. The first part describes how we managed to build and deploy StreamPipes on one Raspberry Pi (Model 4), while the second part further covers how to deploy StreamPipes over a Kubernetes cluster of two Raspberry Pi's via k3s using our StreamPipes helm chart.