Argus | Time series monitoring and alerting platform | Analytics library

You were not sufficiently clear about what was the result of your approaches. Do they give execution errors or don't they bring the results you expected?

For the first problem, it seems that alive and hogwartsStudents are of boolean type, so I recommend to use true instead of "true"

The Fragment menu APIs require two things:

1. That you have an ActionBar at the activity level via the correct theme or by using setSupportActionBar()

2. That you call setHasOptionsMenu(true) in your Fragment's onCreate()

Make sure you have done both things.

This line is your problem:

If need remove rows with missing values only for duplicated rows by 3 columns names use:

Reducing the number of lines should not be an imperative, but trying to provide structure and reduce repetition might be. It would nice to have the prompt string and its corresponding action closer together. You could for example, pair up into a tuple the prompt "Hit 'c' key...", and the sendline string reply "ccccc\n", and then create an array of all these. You might then be able to remove the if's and have a common action calling sendline on the indexed tuple.

But as soon as you start moving this way, it is often best to go all the way and create a simple class to consolidate the prompt, the reply, and other parts of the action. Eg

It Solved based on CyrusNajmabadi's reply

you need to do this instead:

(With the help of Comments)
Putting the new filter before CAS_FILTER worked in my case.

You can't configure custom filter with referencing to another custom filter order. You should say before/after/position pre-defined filters. So If you want to add newFilter before oldFilter, you can try adding newFilter before CAS_FILTER and debug the order for ensuring

Without knowing exactly what the argus and ra commands do, I suspect this is closer to what you need:

I couldn't find a solution for this problem and I had to tear down the cluster and recreate it but this time I used Calico and after running for a week there was no problem.

The only thing I think could cause the problem was the 200Mb memory limit of the Weave and the fact that 4 out of 5 of my Weave pods were hitting that limit and also on their github I found that Weave has an issue with memleak and because of these I decided to change the CNI.