isilon_data_insights_connector | Connector fetch stats from OneFS and push | Dashboard library
kandi X-RAY | isilon_data_insights_connector Summary
kandi X-RAY | isilon_data_insights_connector Summary
The isi_data_insights_d.py script controls a daemon process that can be used to query multiple OneFS clusters for statistics data via the Isilon OneFS Platform API (PAPI). The collector uses a pluggable module for processing the results of those queries. The provided stats processor defined in influxdb_plugin.py sends query results to an InfluxDB backend. Additionally, several Grafana dashboards are provided to make it easy to monitor the health and status of your Isilon clusters. The Connector now supports running under either Python 2 or Python 3.
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Top functions reviewed by kandi - BETA
- Processes the results of a specific stat query
- Create a derived stat object
- Compute the derived stat
- Calculate the total sum of all selected statistics
- Configure stats based on config file
- Get the username and password of the cluster
- Builds the SDK for the given clusters
- Configure stat groups via command line interface
- Query the stats API
- Query stats
- Query stats server
- Validate PID file argument
- Configure arguments from config file
- Parses pct change_change_cfg
- Configure stats processors via CLI
- Write stats to InfluxDB
- Process the stats processor plugin
- Parse CLI arguments
- Compute the derived statistics for each node
- Compute the derived stats
- Parses composite stats from the config file
- Run the crawler
- Configure logging to stdout
- Select a single node
- Process a stat
- Select a stat
isilon_data_insights_connector Key Features
isilon_data_insights_connector Examples and Code Snippets
Community Discussions
Trending Discussions on Dashboard
QUESTION
I have microk8s v1.22.2 running on Ubuntu 20.04.3 LTS.
Output from /etc/hosts:
ANSWER
Answered 2021-Oct-10 at 18:29error: unable to recognize "ingress.yaml": no matches for kind "Ingress" in version "extensions/v1beta1"
QUESTION
In order to make a dynamic visualization, for example in a dashboard, I want to display the label colors (percentages or totals) depending on their real values in black or white.
As you can see from my reprex below, I changed the color of the label with the highest percentage manually to black, in order gain a better visability.
Is there a was, to automatically implement the label color? The label with the highest percentage corresponding should always be black, if data is changing over time.
...ANSWER
Answered 2022-Feb-07 at 14:28you can set the colors using replace(rep('white', nrow(df)), which.max(df$perc), 'black').
QUESTION
I am trying to run a simple code like this:
...ANSWER
Answered 2022-Feb-06 at 15:18It looks like you have incompatible versions of dash and dash_table, with recent versions of Dash, when you install the dash package it also installs other packages including dash_table. Could you maybe uninstall dash_table and dash, reinstall dash, and see if it works?
QUESTION
In Cloudkit Dashboard, I select Record Type, Edit Indexes, then I select Add Basic Index. I see in the dropdown createTime, createdBy, eTag, modTime, modifiedBy, recordID and the record fields. I do not see recordName in the dropdown( Attached screenshot). Without creating index on recordName, I cannot query the record in cloudKit Dashboard. I get error: Field 'recordName' is not marked queryable How to create index on recordName?
...ANSWER
Answered 2021-Oct-25 at 17:18I ran into this same issue and solved it by adding ___recordID as a queryable index. When it is added to the list of indexes, the field changes to recordName.
To add this as a queryable index, go to the Schema Section -> Indexes, and click Add Basic Index.
QUESTION
I am trying my hand at creating a dashboard. I have a public airline data to work with. I need my dashboard to show a bar plot for the number of flights per month for an entered year and an entered airline. Somehow it worked with only one input for a year, but it does not work with two inputs. What am I doing wrong here? Thanks in advance.
...ANSWER
Answered 2021-Dec-24 at 05:09When I run the dashboard, I get the following error:
QUESTION
I hate to keep posting about dash\plotly but I cant understand what is going wrong here. I have copied and pasted from the plotly site the code in order to display a pie chart with a drop down menu. When I create the dashboard there is a dropdown menu that shows all the categories but there is no pie chart to be seen. Please help me to understand what is going wrong. Code below:
...ANSWER
Answered 2021-Dec-23 at 22:18I think the main issues with your code were that your generate_chart function had two arguments, but the @app.callback decorator had only one input argument, and that for the values argument in px.pie, you need to pass a column name whose values can be summed together. One issue with using px.pie in this case is that if you sum the values in the 'class' column, the 0s for success will always sum to 0.
Since you explained in your comment that what you really want to display in your pie chart is the count of successes and failures (which are 0s and 1s in the 'class' column), I thought it would be easiest to sum up the number of 0s and 1s for the particular 'Site', and pass the arguments labels=['success','failure'] and values=[success_count, failure_count] to go.Pie.
QUESTION
I'm quite new to dash but I'm trying to put together a data dashboard. Of the things I want to have is a drop down, that based on the input, renders 1 of two pie charts. The logic to structure the pie chart is included in my callback function. It is saying it is expecting 1 output but it had two. I've had a look online and tried different suggestions. I think I'm pretty close to getting this to work, there is just something dumb I'm not doing.
I know people here are wizards, so I was hoping someone might be able to help me. Also if anyone is Dash savvy, can you point me in the direction of good documentation to learn how to orient this, so I can change the layout to make these plots fit better together in a dashboard, rather than just a web page?
So much love
Thanks
...ANSWER
Answered 2021-Dec-16 at 06:43The first problem is that your callback has one output, but you return a tuple of two things. So you could add an Output that targets the element which you want to have the value of content, I'm guessing that element is the element with id output_container. The other option is to remove content from the return statement.
The second problem is that you have the Output surrounded by a list, so dash expects the return value to be a list containing one value. You can remove the list surrounding your Ouput so it expects a tuple
QUESTION
I am trying to make a page in PHP and HTML that pings a list of IP's in a file called ips.txt and returns it to a nic HTML / PHP page where I show said data in the following format
ANSWER
Answered 2021-Dec-15 at 22:18For good start
QUESTION
I have Kubernetes with ClusterRoles defined for my users and permissions by (RoleBindings) namespaces. I want these users could be accessed into the Kubernetes Dashboard with custom perms. However, when they try to log in when using kubeconfig option that's got this message:
...ANSWER
Answered 2021-Dec-09 at 23:49Update SOLVED:
You have to do this:
- Create ServiceAccount per user
QUESTION
I'm very new to python/dash/plotly and I keep getting the same error:
ImportError: cannot import name 'dcc' from partially initialized module 'dash' (most likely due to a circular import)
Does anyone know how to fix this? I've imported the following:
...ANSWER
Answered 2021-Dec-03 at 08:00"most likely due to a circular import": this is probably due to your file being named as a dash or as a module name.
But I got the error message
ImportError: cannot import name 'dcc' from 'dash'
For me reinstalling dash fixed the issue.
- pip3 uninstall dash
- pip3 install dash
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install isilon_data_insights_connector
To install the connector in a virtual environment using the default Python interpreter on the system, run:
To explicitly install using "python3" as the interpreter, run
Included with the Connector source code are several Grafana dashboards that make it easy to monitor the health and status of your Isilon clusters. To view the dashboards with Grafana, follow these instructions:.
Install and configure Grafana to use the InfluxDB as a data source. Note that the provided Grafana dashboards have been tested to work with Grafana versions up to and including 6.5.1. Also, note that the influxdb_plugin.py creates and stores the statistics data in a database named isi_data_insights. You'll need that information when following the instructions for adding a data source to Grafana. Also, be sure to configure the isi_data_insights data source as the default Grafana data source using the Grafana Dashboard Admin web-interface.
Import the Grafana dashboards. grafana_cluster_list_dashboard.json grafana_cluster_capacity_utilization_dashboard.json grafana_cluster_detail_dashboard.json grafana_cluster_protocol_dashboard.json
grafana_hadoop_home.json
grafana_hadoop_datanodes.json
If you had previously started the Connector, there should already be data in your database displayed in the dashboards. One common issue that might prevent your dashboards from showing up correctly is if the date/time on your Isilon clusters is not closely enough in-synch with the date/time used by Grafana. Synchronizing the date/time of all the systems to within a few seconds of each other should be enough to fix the issue.
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