Kind of hard to explain, but I will try.
I have some endpoints, with some paths.
I am measuring the time for each endpoint.
I want to visualize this in Kibana.
My problem is the following. The paths are not completely fixed. I have some path variables.
For example:
/this/path/{something}
/another/path/here/{somethingElse}
I am not interested in the specific calls. I want to group them before visualizing.
I want to know the average measured time for each path.
/this/path/*
/another/path/here/*
Is this possible with the visualization tool in Kibana?
Related
I would like to do a project on speed limits on highways in germany. I want to know the distance between changes of the speed limit. To do this I need get a dataset which includes the speed limit traffic signs or the areas where a speed limit is set along ONE highway.
I havent worked with here yet. And before I dig into the details I would like to know if here is the right tool to do this project. And of course it would be nice if you could also tell me briefly how to do it, since I dont't even know where to start in here :)
Thanks a lot!
I tried Openstreetmaps before, but the data is too outdated. For example you cannot see speed limits due to construction works.
I found this link on other posts https://github.com/seaBass3/here-pde-speed-limit
but it seems not valid any more
This can be solved by different approaches, but one the most feasible, is the following:
By using the tool HereTraffic API v7 you can get real-time traffic flow and information about traffic signs, by using query parameters, response structures, and data types.
You can get all the information required on real-time traffic flow data in JSON, including information on speed and jam factor for the region(s) defined in each request. Can also deliver additional data such as the geometry of the road segments in relation to the flow.
Provides aggregated information about traffic incidents in JSON, including the type and location of each traffic incident, status, start and end time, and other relevant data. This data is useful to dynamically optimize route calculations.
And if you need historical information also like from past dates you can always use Here Probe Data to get the data which can be compared with different datasets.
This is one of the examples you can use in order to get all the information you need:
curl -H "Authorization: Bearer $TOKEN" "https://data.traffic.hereapi.com/v7/flow?locationReferencing=shape&in=bbox:13.400,52.500,13.405,52.505"
I'm planning to use either of popular routing projects OSMR, Graphhopper or Valhalla to find the fastest route including historical traffic data.
Question: I don't have traffic data for all graph edges representing roads (only for a subset), and the missing data has to be extrapolated. What mathematical tools (or ready solutions) can I use to extrapolate/ fill/ guess the missing traffic data given following assumptions:
Ideal arbitrage is performed by drivers. Taking a route without (or partially without) traffic data shouldn't give an advantage.
The routing queries will be limited to an area of a typical European city, say 25km x 25km, what results in a fairly small graph.
The solution can be either: geo-agnostic (refer only on nodes and edge weights) or take into account spatial data ie. physical proximity (or direction!) of graph edges.
Any heuristic can take advantage of the fact that the routing happens for morning or evening rush hours. The traffic significantly differs depending on the direction.
Thank you for your help!
I've been trying to use sequenceCount in order to process a funnel analysis on a website data. We want to track how many user can reach from point A to point B. sequenceCount is a perfect fit for this need as we have trackers that follows the user's interaction on the website. However, let's say that there is not only one tracker but many that trigger the point A in our funnel analysis. This would mean that currently we would have to use sequenceCount for EACH triggers A and make them point to B.
This problem might lead to situation where we have to write plenty of sequenceCount and could kill all performance.
I've been looking on the web for answers but I didn't find any about that.
I'm looking for thoughts that could solve the problem or avoid it
Is it possible to graph an SLO as a time-series graph using just native Datadog components?
If so, how?
I can only find a way to show an SLO as a number, I'd like to show how it changes over time in a graph-format.
I don't believe there is any way to graph the historical behavior of the SLI from an SLO.
The closest you could get would be to measure the underlying metric, so if you had good events/bad events you could display that percentage. But the calculation of how often that percentage is above or below a certain threshold would not be possible.
I recommend reaching out to support#datadoghq.com to let them know it's a feature you're interested in. They might be able to provide some updates.
I am new to Netlogo, but want to use it for my next ABM. However I can't find any information on the ability of Netlogo to use 2D time series as drivers for the turtles. I know that Netlogo can use static information like bathymetry, but what about temperatures and spatial changes in temperature over time?
Can anyone point me in the right direction or describe if this functionality is present.
Edit: To expand on the issue. If I want a turtle to respond to rainfall, and I have a file with spatial information on the hourly rain fall, like a weather map, that changes in time and space. How would I go about loading this file? And if this is possible, which file types would be usable?
If you want current decisions to be based on past information, then you only need to gather that information over time and analyse it. The stats extension provides an easy way to gather past information and then to run regressions on it. You might see if that serves your purpose.
You can find more information at https://github.com/NetLogo/NetLogo/wiki/Extensions, under Community Extensions.