Most often the data is ingested without issue but sometimes influx seems to lock up or freeze, causing the data to not be ingested. In this situation the IoT devices are unable to connect to the Linux instance via the http connection used to post the data. Eventually the Linux instance will again start allowing data to post. Sometimes the Linux instance has to be forcibly restarted
flush_jitter : Default flush jitter for all outputs. This jitters the flush interval by a random amount. This is primarily to avoid large write spikes for users running a large number of telegraf instances. ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s.
collection_jitter : Collection jitter is used to jitter the collection by a random interval. Each plugin will sleep for a random time within jitter before collecting. This can be used to avoid many plugins querying things like sysfs at the same time, which can have a measurable effect on the system.
Thanks for the suggestion. It prompted me to review my telegraf.conf file and I discovered I was still using the default telegraf configuration. I believe this means the IoT devices are not at all routing through telegraf. Each of the IoT devices is sending data via an HTTP POST command and I do not have a telegraf input plugin configured to handle the communication. Therefore, I believe the devices are all trying to write directly to the database.
Processor plugins process metrics as they pass through and immediately emitresults based on the values they process. For example, this could be printingall metrics or adding a tag to all metrics that pass through. For a list of processor plugins and links to their detailed configuration options, see processor plugins.
Aggregator plugins, on the other hand, are a bit more complicated. Aggregatorsare typically for emitting new aggregate metrics, such as a running mean,minimum, maximum, quantiles, or standard deviation. For this reason, all aggregatorplugins are configured with a period. The period is the size of the windowof metrics that each aggregate represents. In other words, the emittedaggregate metric will be the aggregated value of the past period seconds.Since many users will only care about their aggregates and not every single metricgathered, there is also a drop_original argument, which tells Telegraf to onlyemit the aggregates and not the original metrics. For a list of aggregator plugins and links to their detailed configuration options, see aggregator plugins.
When using both aggregator and processor plugins in Telegraf v1.17, processor pluginsprocess data and then pass it to aggregator plugins.After aggregator plugins aggregate the data, they pass it back to processor plugins.This can have unintended consequences, such as executing mathematical operations twice.See influxdata/telegraf#7993.
If using custom processor scripts, they must be idempotent (repeatable, without side-effects).For custom processes that are not idempotent, use namepass or namedrop to avoid issues when aggregated data is processed a second time.
Thankfully I have found a temporary workaround - where I can open up the Intel version of Premiere and HAP works. So it appears as if the issue is the M1. But long term - id like to use the native version of M1 in Premiere instead of the Intel version.
Is there a better codec now to use for VDMX than HAP? Cause id really like to keep editing with my VDMX exports instead of having to export a ProRes version of my visuals for Editing, and a HAP version for VDMX
All that being said, when I switched from my 2015 Macbook Pro to a new M1 Max MBP I converted 8TB of video (HAP, Apple Intermediate Codec (AIC), ProRes, PhotoJPEG, etc) down to 3TB of H.264 and put it on a fast external SSD. There are pros and cons to this, but for the most part, this machine has no issues with H.264, and most of these clips are all sorts of video resolutions, most 1080p or under.
Amazing! thanks so much again for taking the time to write such a response. Ive been using VDMX since 2009 too! lol - i def remember them Photo JPG and AIC days, hahaha. I also just switched a few months ago from a 2012 MBP to the fully loaded M1 Max MBP - words can not describe how refreshing and amazing the experience has been!
In the end, after years of VJing on a slow ass computer - i want ZERO issues when it comes to playback, scrolling through a video, adding effects (like rutt etra, kaleidescope, etc) on at least 4 to 5 layers at a time - in general the M1 Max should have no problem with this - but Im thinking i should probably stick to HAP for now as its still the best for live video no? I have not tried ProRes LT before - but that would probably be bigger than HAP clips.
Compression: Depending on how you export your H.264 files, going from something like a an HD or UHD edited video to a compressed H.264 can add a lot a noise. This mainly depends on your encoding setttings, but it can take a lot of tweaking to get this right for perfect picture quality.
Indeed, AfterCodecs is an exporter plugin. If you need to import HAP audiovideo files into Adobe software, there is the Influx Importer plugin for that purpose and it also supports others codecs. Both AfterCodecs and Influx Importer supports native Apple Silicon (M1, M2 etc.)
thanks for the info. only seeing your post now. Are you saying if I get Influx - i could theoretically import HAP clips into the native M1 version of premiere? Ive been running Premiere in Rosetta the whole year now.
The biggest challenge using a home-style weather station is that it is not meant to be on a moving platform. I wrote about using an Ambient Weather station with weeWX software a few years ago, and that is still a great solution if you want accurate data only while away from the boat.
After considering a number of options, I settled on an Airmar WX-220 NMEA 2000 instrument. This device reports apparent and true wind speed and direction, barometric pressure, as well as air and wind chill temperature. It also has a GPS, compass, gyro and accelerometer.
The backbone of my entire system is SignalK. It is connected to my NMEA 2000 network and gathers all of the data from the Airmar. Then, two different plugins take that data and allow the solutions below to work.
Windy.com is a great resource for seeing an easily understandable graphical representation of wind and waves. In addition to PredictWind, Windy is one of the top tools I use when planning passages and weather. A fairly new plugin called signalk-windy is available and allows you to take weather data right out of SignalK and submit it to Windy.com.
You can see my station at Rendezvous PWS. It updates every 5 minutes or so, and the station location moves as the boat does, which is perfect! The plugin supports sending wind speed, wind direction, temperature, pressure and humidity.
This configuration uses the signalk-to-influxdb plugin, which you can setup with the provided instructions using docker. I decided to set it up a different way, based on how it was originally packaged.
You can add all sorts of graphs and data to a single dashboard so you can see everything that matters in one place. This is my main dashboard that shows me everything I care about in one place, and I use this constantly both while on the boat and remotely to check on things.
It gets even more powerful because you can change the time range on the fly. You can choose from preset amounts, enter your own start/end date, or just click on a graph and drag a selection, say to look at a spike of wind or temp. Very easy to use.
You can also change the frequency that the data updates on the dashboard. I usually set them to 1 minute while I am on the boat, and have the dashboard up on my computer or the main driving PC in case something changes dramatically. I have alerts in place to change colors and send emails if things get really bad.
If you have a PC, connect it to your NMEA 2000 network, setup SignalK (easy) and get both of these plugins. Not only will you be contributing weather to Windy and helping others, but with the Grafana dashboards, you can transform your helm into a super customizable display that you can enjoy every day.
Christopher
April 11, 2020 at 10:32 pm
Do you already have the Windy plugin ( -windy#readme) installed?
Yes , everything configured in Windy because I have other stations already connected there and working.
signalk-derived-data I have installed the same and have a problem with it .
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before switching on lights the value is 0 ( would be correct), but after the the event it fills all remaining slots with 0 again, however light is still on. In my graphs this means the colour changes to green once, then goes back to red for the rest of the line.
Hi
What do you mean? Samples for template sensors or a sample for the influxdb configuration in configuration.yaml? A sample for a binary sensor is in one of the posts above, similar for a temperature sensor:
Before you can connect to a DB instance, you must create the DB instance. For information, see Creating a DB instance. After Amazon Timestream provisions your DB instance, use the influxDB API, Influx CLI or any compatible client or utility for InfluxDB to connect to the DB instance.
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