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https://issues.apache.org/jira/browse/STREAMPIPES-290?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17313771#comment-17313771
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Abhirup Pal edited comment on STREAMPIPES-290 at 4/2/21, 10:00 AM:
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This is due to Apache binding on to port 80. This is the only build I did after
restarting my computer. There are some conflicts inside the code itself, in my
opinion, with regards to the port used.
!Screenshot from 2021-04-02 15-26-18.png!
was (Author: abhirup@99):
This is due to Apache binding on to port 80. This is the only build I did after
restarting my computer.
!Screenshot from 2021-04-02 15-26-18.png!
> More powerful real-time visualizations for StreamPipes
> ------------------------------------------------------
>
> Key: STREAMPIPES-290
> URL: https://issues.apache.org/jira/browse/STREAMPIPES-290
> Project: StreamPipes
> Issue Type: New Feature
> Components: UI
> Reporter: Dominik Riemer
> Priority: Major
> Labels: gsoc2021, mentor, streampipes
> Attachments: Screenshot from 2021-03-29 15-50-37.png, Screenshot from
> 2021-04-02 15-18-06.png, Screenshot from 2021-04-02 15-26-18.png, Screenshot
> from 2021-04-02 15-26-18.png
>
>
> *Apache StreamPipes*
> Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to
> enable non-technical users to connect, analyze and explore IoT data streams.
> StreamPipes offers several modules including StreamPipes Connect to easily
> connect data from industrial IoT sources, the Pipeline Editor to quickly
> create processing pipelines and several visualization modules for live and
> historic data exploration. Under the hood, StreamPipes utilizes an
> event-driven microservice paradigm of standalone, so-called analytics
> microservices making the system easy to extend for individual needs.
>
> *Background*
> Currently, the live dashboard (implemented in Angular) offers an initial set
> of simple visualizations, such as line charts, gauges, tables and single
> values. More advanced visualizations, especially those relevant for condition
> monitoring tasks (e.g., monitoring sensor measurements from industrial
> machines) is easy. Visualizations can be flexibly created by users and there
> is an SDK that allows to express requirements (e.g., based on data type or
> semantic type) for visualizations to better guide users through the creation
> process.
>
> *Tasks*
> # Extend the set of real-time visualizations in StreamPipes, e.g., by
> integrating existing visualizations from Apache ECharts.
> # Improve the existing dashboard, e.g., by introducing better filtering or
> more advanced customization options.
>
> *Relevant Skills*
> 0. Don't be afraid! We'll guide you through your first steps with StreamPipes.
> # Angular
> # Basic knowledge of Apache ECharts
>
> *Mentor*
> Dominik Riemer, PPMC Apache StreamPipes ([email protected])
>
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