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Whats a metric that combines % of errors with tot number of instances

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1

I'm looking for a metric to use to track the severity of certain errors in our microservices.

E.g. read time outs against an external service. On the x-axis I would probably have timeintervalls, say every 10 minutes. On the y-axis the value of the metric.

At first I thought the value would be number of timed out requests. But that's not dead on since the number of time outs needs to be put into relation to the total number of requests.

So second I thought the percentage of timed out requests. But that's not perfect either, since a spike to 100% time outs would not be critical if the total number of requests were 1 during this intervall.

I'm sure this is a common scenario in logging and performance metrics visualization.

data-visualization

share|improve this question

asked Mar 24 at 11:44

tyrone copextyrone copex

63521428

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Your metric seems to the same for both instances, is the second bound by some time period? Both seem like an error rate. Can you get the amount of successful requests?
  
  – Nathan McCoy
  Mar 24 at 11:50
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @NathanMcCoy Not sure I understand what you mean. The first is total number of errors per timeintervall. The second is tot.#.of.errors / tot.#.of.requests per timeintervall. Yes I have the amount of succesful requests.
  
  – tyrone copex
  Mar 24 at 12:35
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Oh i see you would like a count, or a normalised form [0, 1]. I will try to respond below
  
  – Nathan McCoy
  Mar 24 at 18:30
  

  
  
  
  

add a comment | 

1

I'm looking for a metric to use to track the severity of certain errors in our microservices.

E.g. read time outs against an external service. On the x-axis I would probably have timeintervalls, say every 10 minutes. On the y-axis the value of the metric.

At first I thought the value would be number of timed out requests. But that's not dead on since the number of time outs needs to be put into relation to the total number of requests.

So second I thought the percentage of timed out requests. But that's not perfect either, since a spike to 100% time outs would not be critical if the total number of requests were 1 during this intervall.

I'm sure this is a common scenario in logging and performance metrics visualization.

data-visualization

share|improve this question

asked Mar 24 at 11:44

tyrone copextyrone copex

63521428

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Your metric seems to the same for both instances, is the second bound by some time period? Both seem like an error rate. Can you get the amount of successful requests?
  
  – Nathan McCoy
  Mar 24 at 11:50
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @NathanMcCoy Not sure I understand what you mean. The first is total number of errors per timeintervall. The second is tot.#.of.errors / tot.#.of.requests per timeintervall. Yes I have the amount of succesful requests.
  
  – tyrone copex
  Mar 24 at 12:35
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Oh i see you would like a count, or a normalised form [0, 1]. I will try to respond below
  
  – Nathan McCoy
  Mar 24 at 18:30
  

  
  
  
  

add a comment | 

I'm looking for a metric to use to track the severity of certain errors in our microservices.

E.g. read time outs against an external service. On the x-axis I would probably have timeintervalls, say every 10 minutes. On the y-axis the value of the metric.

At first I thought the value would be number of timed out requests. But that's not dead on since the number of time outs needs to be put into relation to the total number of requests.

So second I thought the percentage of timed out requests. But that's not perfect either, since a spike to 100% time outs would not be critical if the total number of requests were 1 during this intervall.

I'm sure this is a common scenario in logging and performance metrics visualization.

data-visualization

share|improve this question

asked Mar 24 at 11:44

tyrone copextyrone copex

63521428

share|improve this question

asked Mar 24 at 11:44

tyrone copextyrone copex

63521428

share|improve this question

asked Mar 24 at 11:44

tyrone copextyrone copex

63521428

asked Mar 24 at 11:44

tyrone copextyrone copex

63521428

asked Mar 24 at 11:44

tyrone copextyrone copex

63521428

1 Answer
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0

From what I understand, errors on your microservices could be calculated as follows:

Time-Out Error Metrics

Time-Out Error Count [TOEC]

This is just a raw count, of how many time out errors you have.

This will be bound by some time interval, say every 10 min.

TOEC = count of time-out requests in interval

Time-Out Error Proportion [TOEP]

This is a proportion of time-out requests errors you have.

This will be bount by some time interval, say every 10 min.

TOEP = count of time-out requests in interval / count of all requests in interval

This is a type of [error rate](https://en.wikipedit a.org/wiki/Error_rate)

Other Metrics

There are other standard metrics, There might be some that look of interest to you here Wikipedia: Precision and recall

I have a feeling there may be other types of errors and successes in your domain, if you look at the wikipedia article, and without more information, I believe your time-out errors are equivalent to TN which are True Negatives.

If you can define the other ones (FN, FP, TP) you could in theory use any of the standard metrics on the wikipedia article. This would give you a lot of information about how to interpret how well your microservice is performing.

share|improve this answer

answered Mar 24 at 18:43

Nathan McCoyNathan McCoy

1,4071230

add a comment | 

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0

From what I understand, errors on your microservices could be calculated as follows:

Time-Out Error Metrics

Time-Out Error Count [TOEC]

This is just a raw count, of how many time out errors you have.

This will be bound by some time interval, say every 10 min.

TOEC = count of time-out requests in interval

Time-Out Error Proportion [TOEP]

This is a proportion of time-out requests errors you have.

This will be bount by some time interval, say every 10 min.

TOEP = count of time-out requests in interval / count of all requests in interval

This is a type of [error rate](https://en.wikipedit a.org/wiki/Error_rate)

Other Metrics

There are other standard metrics, There might be some that look of interest to you here Wikipedia: Precision and recall

I have a feeling there may be other types of errors and successes in your domain, if you look at the wikipedia article, and without more information, I believe your time-out errors are equivalent to TN which are True Negatives.

If you can define the other ones (FN, FP, TP) you could in theory use any of the standard metrics on the wikipedia article. This would give you a lot of information about how to interpret how well your microservice is performing.

share|improve this answer

answered Mar 24 at 18:43

Nathan McCoyNathan McCoy

1,4071230

add a comment | 

0

From what I understand, errors on your microservices could be calculated as follows:

Time-Out Error Metrics

Time-Out Error Count [TOEC]

This is just a raw count, of how many time out errors you have.

This will be bound by some time interval, say every 10 min.

TOEC = count of time-out requests in interval

Time-Out Error Proportion [TOEP]

This is a proportion of time-out requests errors you have.

This will be bount by some time interval, say every 10 min.

TOEP = count of time-out requests in interval / count of all requests in interval

This is a type of [error rate](https://en.wikipedit a.org/wiki/Error_rate)

Other Metrics

There are other standard metrics, There might be some that look of interest to you here Wikipedia: Precision and recall

I have a feeling there may be other types of errors and successes in your domain, if you look at the wikipedia article, and without more information, I believe your time-out errors are equivalent to TN which are True Negatives.

If you can define the other ones (FN, FP, TP) you could in theory use any of the standard metrics on the wikipedia article. This would give you a lot of information about how to interpret how well your microservice is performing.

share|improve this answer

answered Mar 24 at 18:43

Nathan McCoyNathan McCoy

1,4071230

add a comment | 

From what I understand, errors on your microservices could be calculated as follows:

Time-Out Error Metrics

Time-Out Error Count [TOEC]

This is just a raw count, of how many time out errors you have.

This will be bound by some time interval, say every 10 min.

TOEC = count of time-out requests in interval

Time-Out Error Proportion [TOEP]

This is a proportion of time-out requests errors you have.

This will be bount by some time interval, say every 10 min.

TOEP = count of time-out requests in interval / count of all requests in interval

This is a type of [error rate](https://en.wikipedit a.org/wiki/Error_rate)

Other Metrics

There are other standard metrics, There might be some that look of interest to you here Wikipedia: Precision and recall

I have a feeling there may be other types of errors and successes in your domain, if you look at the wikipedia article, and without more information, I believe your time-out errors are equivalent to TN which are True Negatives.

If you can define the other ones (FN, FP, TP) you could in theory use any of the standard metrics on the wikipedia article. This would give you a lot of information about how to interpret how well your microservice is performing.

share|improve this answer

answered Mar 24 at 18:43

Nathan McCoyNathan McCoy

1,4071230

TOEC = count of time-out requests in interval

TOEP = count of time-out requests in interval / count of all requests in interval

share|improve this answer

answered Mar 24 at 18:43

Nathan McCoyNathan McCoy

1,4071230

answered Mar 24 at 18:43

Nathan McCoyNathan McCoy

1,4071230

answered Mar 24 at 18:43

Nathan McCoyNathan McCoy

1,4071230