How to show delta from start of timespan to point in time for counter
I am trying to visualize a counter increase over time.
But I'm facing two problems:
- The graph doesn't start at zero for the timeframe and
- When ever the counter resets, the graph hits zero again
This leads to the graph being very hard to read cause what I realy would like is to see how quickly the counter increases over time while being able to quickly get an overview of total amounts of increases at a given point in time measured from the start of the time frame.
Visualisation of my problem
Update 20. November
Result of 'increase([your_metric_name][1m])'
grafana
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
add a comment |
I am trying to visualize a counter increase over time.
But I'm facing two problems:
- The graph doesn't start at zero for the timeframe and
- When ever the counter resets, the graph hits zero again
This leads to the graph being very hard to read cause what I realy would like is to see how quickly the counter increases over time while being able to quickly get an overview of total amounts of increases at a given point in time measured from the start of the time frame.
Visualisation of my problem
Update 20. November
Result of 'increase([your_metric_name][1m])'
grafana
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
What type of data source are you using (eg Prometheus, Graphite, InfluxDB, etc)? The specific aggregate functions you'll need to work with a counter will vary depending upon your data source.
– parliamentowl
Nov 14 '18 at 17:03
I have Prometheus as datasource
– Troels T.
Nov 15 '18 at 6:44
add a comment |
I am trying to visualize a counter increase over time.
But I'm facing two problems:
- The graph doesn't start at zero for the timeframe and
- When ever the counter resets, the graph hits zero again
This leads to the graph being very hard to read cause what I realy would like is to see how quickly the counter increases over time while being able to quickly get an overview of total amounts of increases at a given point in time measured from the start of the time frame.
Visualisation of my problem
Update 20. November
Result of 'increase([your_metric_name][1m])'
grafana
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
I am trying to visualize a counter increase over time.
But I'm facing two problems:
- The graph doesn't start at zero for the timeframe and
- When ever the counter resets, the graph hits zero again
This leads to the graph being very hard to read cause what I realy would like is to see how quickly the counter increases over time while being able to quickly get an overview of total amounts of increases at a given point in time measured from the start of the time frame.
Visualisation of my problem
Update 20. November
Result of 'increase([your_metric_name][1m])'
grafana
grafana
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
edited Nov 19 '18 at 7:07
Troels T.
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
asked Nov 14 '18 at 6:53
Troels T.Troels T.
11
11
What type of data source are you using (eg Prometheus, Graphite, InfluxDB, etc)? The specific aggregate functions you'll need to work with a counter will vary depending upon your data source.
– parliamentowl
Nov 14 '18 at 17:03
I have Prometheus as datasource
– Troels T.
Nov 15 '18 at 6:44
add a comment |
What type of data source are you using (eg Prometheus, Graphite, InfluxDB, etc)? The specific aggregate functions you'll need to work with a counter will vary depending upon your data source.
– parliamentowl
Nov 14 '18 at 17:03
I have Prometheus as datasource
– Troels T.
Nov 15 '18 at 6:44
What type of data source are you using (eg Prometheus, Graphite, InfluxDB, etc)? The specific aggregate functions you'll need to work with a counter will vary depending upon your data source.
– parliamentowl
Nov 14 '18 at 17:03
What type of data source are you using (eg Prometheus, Graphite, InfluxDB, etc)? The specific aggregate functions you'll need to work with a counter will vary depending upon your data source.
– parliamentowl
Nov 14 '18 at 17:03
I have Prometheus as datasource
– Troels T.
Nov 15 '18 at 6:44
I have Prometheus as datasource
– Troels T.
Nov 15 '18 at 6:44
add a comment |
1 Answer
1
active
oldest
votes
You need to use some type of rate or increase function to get the type of graph you're looking for. And since you're using Prometheus, your query will look something like this:
rate([your_metric_name][1m])
If you want the rate per second, OR
increase([your_metric_name][1m])
If you want something more like a delta.
These pages can give you more information too: https://prometheus.io/docs/prometheus/latest/querying/functions/#rate()
https://prometheus.io/docs/prometheus/latest/querying/functions/#increase()
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
Thanks for the suggestion, I've updated the question with the result which unfortunatly doesn't quite reach the target.
– Troels T.
Nov 21 '18 at 7:01
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You need to use some type of rate or increase function to get the type of graph you're looking for. And since you're using Prometheus, your query will look something like this:
rate([your_metric_name][1m])
If you want the rate per second, OR
increase([your_metric_name][1m])
If you want something more like a delta.
These pages can give you more information too: https://prometheus.io/docs/prometheus/latest/querying/functions/#rate()
https://prometheus.io/docs/prometheus/latest/querying/functions/#increase()
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
Thanks for the suggestion, I've updated the question with the result which unfortunatly doesn't quite reach the target.
– Troels T.
Nov 21 '18 at 7:01
add a comment |
You need to use some type of rate or increase function to get the type of graph you're looking for. And since you're using Prometheus, your query will look something like this:
rate([your_metric_name][1m])
If you want the rate per second, OR
increase([your_metric_name][1m])
If you want something more like a delta.
These pages can give you more information too: https://prometheus.io/docs/prometheus/latest/querying/functions/#rate()
https://prometheus.io/docs/prometheus/latest/querying/functions/#increase()
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
Thanks for the suggestion, I've updated the question with the result which unfortunatly doesn't quite reach the target.
– Troels T.
Nov 21 '18 at 7:01
add a comment |
You need to use some type of rate or increase function to get the type of graph you're looking for. And since you're using Prometheus, your query will look something like this:
rate([your_metric_name][1m])
If you want the rate per second, OR
increase([your_metric_name][1m])
If you want something more like a delta.
These pages can give you more information too: https://prometheus.io/docs/prometheus/latest/querying/functions/#rate()
https://prometheus.io/docs/prometheus/latest/querying/functions/#increase()
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
You need to use some type of rate or increase function to get the type of graph you're looking for. And since you're using Prometheus, your query will look something like this:
rate([your_metric_name][1m])
If you want the rate per second, OR
increase([your_metric_name][1m])
If you want something more like a delta.
These pages can give you more information too: https://prometheus.io/docs/prometheus/latest/querying/functions/#rate()
https://prometheus.io/docs/prometheus/latest/querying/functions/#increase()
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
edited Nov 15 '18 at 18:26
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
answered Nov 14 '18 at 17:00
parliamentowlparliamentowl
1078
1078
Thanks for the suggestion, I've updated the question with the result which unfortunatly doesn't quite reach the target.
– Troels T.
Nov 21 '18 at 7:01
add a comment |
Thanks for the suggestion, I've updated the question with the result which unfortunatly doesn't quite reach the target.
– Troels T.
Nov 21 '18 at 7:01
Thanks for the suggestion, I've updated the question with the result which unfortunatly doesn't quite reach the target.
– Troels T.
Nov 21 '18 at 7:01
Thanks for the suggestion, I've updated the question with the result which unfortunatly doesn't quite reach the target.
– Troels T.
Nov 21 '18 at 7:01
add a comment |
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What type of data source are you using (eg Prometheus, Graphite, InfluxDB, etc)? The specific aggregate functions you'll need to work with a counter will vary depending upon your data source.
– parliamentowl
Nov 14 '18 at 17:03
I have Prometheus as datasource
– Troels T.
Nov 15 '18 at 6:44