| Title: | Identify, Ping, and Log Internet Provider Connection Data |
|---|---|
| Description: | To assist you with troubleshooting internet connection issues and assist in isolating packet loss on your network. It does this by allowing you to retrieve the top trace route destinations your internet provider uses, and recursively ping each server in series while capturing the results and writing them to a log file. Each iteration it queries the destinations again, before shuffling the sequence of destinations to ensure the analysis is unbiased and consistent across each trace route. |
| Authors: | Jesse Vent [aut, cre] |
| Maintainer: | Jesse Vent <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.1.1 |
| Built: | 2024-11-23 03:47:12 UTC |
| Source: | https://github.com/jessevent/pingers |
Repeat capturing network logs with parameters you specify from
ping_capture and get_destinations. This will output a
csv file with your ping results displaying packet loss and average
ping across the defined periods.
capture_logs(destinations = 9, pings = 50, log_path = NULL, sleep = NULL)capture_logs(destinations = 9, pings = 50, log_path = NULL, sleep = NULL)
destinations |
Retrieve the first n addresses in your ISP destinations |
pings |
Number of times to ping server |
log_path |
Optional: The path and filename to save the result set |
sleep |
Optional: Seconds to sleep for throughout iterations |
csv file with captured network log information
If the log_path parameter is not provided, it will default to saving a csv file in the current working directory called network_logs.csv prefixed with the current timestamp in the format '
## Not run: capture_logs(destinations = 3, pings = 10, log_path = log, sleep = 20) ## End(Not run)## Not run: capture_logs(destinations = 3, pings = 10, log_path = log, sleep = 20) ## End(Not run)
Trace route and grab the top n servers to assist isolating issues with individual nodes for your ISP.
get_destinations(keyword = NULL, top_n = NULL, site = "google.com.au")get_destinations(keyword = NULL, top_n = NULL, site = "google.com.au")
keyword |
Keyword to search for i.e. 'AAT' |
top_n |
Retrieve the first n addresses |
site |
Defaults to 'google.com.au' to trace route against |
dataframe with server and IP range
## Not run: dest <- get_destinations(top_n = 3) print(dest) ## End(Not run)## Not run: dest <- get_destinations(top_n = 3) print(dest) ## End(Not run)
Ping a server to capture response details
ping_capture(server, count)ping_capture(server, count)
server |
IP address or URL of server |
count |
Number of times to ping server |
dataframe with ping results
## Not run: dest <- get_destinations(top_n = 1) ping_res <- ping_capture(dest$ip[1], 10) print(ping_res) ## End(Not run)## Not run: dest <- get_destinations(top_n = 1) ping_res <- ping_capture(dest$ip[1], 10) print(ping_res) ## End(Not run)
Generates a heatmap that displays the packet loss hotspots on an hourly basis during the week.
pingers_heatmap(logs = NULL)pingers_heatmap(logs = NULL)
logs |
network_logs file |
highcharts heatmap
## Not run: pingers_heatmap(net_logs) ## End(Not run)## Not run: pingers_heatmap(net_logs) ## End(Not run)
Randomly reorder the rows of a dataframe
shuffle(data)shuffle(data)
data |
dataframe to shuffle |
reordered dataframe
{ ordered_df <- tibble::tibble(V1=1:26,V2=letters) shuffled_df <- shuffle(ordered_df) }{ ordered_df <- tibble::tibble(V1=1:26,V2=letters) shuffled_df <- shuffle(ordered_df) }