Scatterchart is a great way to correlate two metrics visually. This example shows off response time vs requests.
Apurva Dave apurvadave
apurvadave
/ kubernetes liveness probe
Created
March 21, 2017 18:39
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| #Example Liveness probe for the Sysdig Blog on "Monitoring Kubernetes" | |
| apiVersion: v1 | |
| kind: Pod | |
| metadata: | |
| labels: | |
| test: liveness | |
| name: liveness-exec | |
| spec: |
apurvadave
/ docker_stats_API_output
Created
November 1, 2016 15:43
Example docker stats API. Useful as a stepping stone to docker monitoring
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| "cpu_stats": { | |
| "cpu_usage": { | |
| "percpu_usage": [ | |
| 12763896556733 | |
| ], | |
| "total_usage": 12763896556733, | |
| "usage_in_kernelmode": 918680000000, | |
| "usage_in_usermode": 5232460000000 | |
| }, | |
| "system_cpu_usage": 6587736350000000, |
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| (read -demo 'srch_cluster' -from :2 minutes ago: -max_samples '2000' name = 'response_ms'; | |
| read -demo 'srch_cluster' -from :2 minutes ago: -max_samples '2000' name='requests') | |
| | reduce -every :2s: avg(value) by name | |
| | @timechart | |
| -keyField 'name' -display.duration :2m: -display.dataDensity 10 | |
| -title "Timechart Example" |
apurvadave
/ Readme.md
Created
August 17, 2015 22:34
Showing off a basic use case of operations analytics with scatter chart in Jut
apurvadave
/ data.csv
Last active
August 17, 2022 19:29
Shark Tank Data provided by @halletecco https://docs.google.com/spreadsheets/u/1/d/1Lr0gi_QJB_JU0lBMjJ7WiBRxA0loml1FlM-KlmKsaEY/htmlview?pli=1#
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| Row | Season | No. in series | Company | Deal | Industry | Entrepreneur Gender | Amount | Equity | Valuation | Corcoran | Cuban | Greiner | Herjavec | John | O'Leary | Harrington | Guest | # Sharks | $ per shark | Details / Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 1 | 1 | Ava the Elephant | Yes | Healthcare | Female | $50,000 | 55% | $90,909 | 1 | 1 | $50,000 | |||||||||
| 3 | 1 | 1 | Mr. Tod's Pie Factory | Yes | Food and Beverage | Male | $460,000 | 50% | $920,000 | 1 | 1 | 2 | $230,000 | ||||||||
| 4 | 1 | 1 | Wispots | No | Business Services | Male | 0 | ||||||||||||||
| 5 | 1 | 1 | College Foxes Packing Boxes | No | Lifestyle / Home | Male | 0 | ||||||||||||||
| 6 | 1 | 1 | Ionic Ear | No | Uncertain / Other | Male | 0 | ||||||||||||||
| 7 | 1 | 2 | A Perfect Pear | Yes | Food and Beverage | Female | $500,000 | 50% | $1,000,000 | 1 | 1 | 2 | $250,000 | ||||||||
| 8 | 1 | 2 | Classroom Jams | Yes | Children / Education | Male | $250,000 | 10% | $2,500,000 | 1 | 1 | 1 | 1 | 1 | 5 | $50,000 | |||||
| 9 | 1 | 2 | Lifebelt | No | Consumer Products | Male | 0 |
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| // Streaming reduce of maximum response time of host(s) every 10 seconds and plot it on a timechart | |
| read -demo 'srch_cluster' -from :5 minutes ago: name = 'response_ms' service= 'search' | |
| | reduce -every :10 seconds: max = max(value) by host | |
| | @timechart |
apurvadave
/ main.juttle
Last active
August 29, 2015 14:22
Simple example using demo data to show off the Jut pan and zoom feature
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| read -demo 'srch_cluster' -from :2 days ago: -to :now: name = 'response_ms' // Get data from 2 days ago till now | |
| | reduce -every :10 seconds: p90 = percentile('value', .9) by host // Calculate p90 response time | |
| | @timechart -title 'Response time (ms) by Service' |
apurvadave
/ README.md
Last active
August 29, 2015 14:16
— forked from demmer/README.md
This example highlights the use of the pace processor to provide simulated live playback of data.
The first example shows historical data instantly, with live data streaming in. The second example uses pace to playback all of the data, with historical data playing back at 4x original speed.
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| source "https://www.quandl.com/api/v1/datasets/GOOG/NASDAQ_AAPL.csv?trim_start=1980-12-12&trim_end=2014-11-20" | | |
| put time=Date(Date) | put AAPL=Close| (@timechart -column 'AAPL' -title 'AAPL v MSFT' -name AAPL); | |
| source "https://www.quandl.com/api/v1/datasets/GOOG/NASDAQ_MSFT.csv?trim_start=1986-03-13&trim_end=2014-11-20" | | |
| put time=Date(Date) | put MSFT=Close | (@timechart -column 'MSFT' -name MSFT -on AAPL) |
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| Station_ID,Station_Name,Location_Label,Interval_Minutes,Interval_End_Time,Wind_Velocity_Mtr_Sec,Wind_Direction_Variance_Deg,Wind_Direction_Deg,Ambient_Temperature_Deg_C,Global_Horizontal_Irradiance | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:05,1.172,0,293.7,9.36,0 | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:10,0.867,0,293.7,9.27,0 | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:15,1.175,0,293.7,9.29,0 | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:20,0.874,0,293.7,9.23,0 | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:25,1.004,0,293.7,9.24,0 | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:30,0.986,0,293.7,9.23,0 | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:35,0.988,0,293.7,9.15,0 | |
| SF37,"Chinatown Medical Center","Chinatown Medical Center",5,2014-01-4? 00:40,1.119,0,293.7,9.15,0 | |
| SF37,"Chinatown Medical Center","C |
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