ng-group | Angular.js filter for grouping items by a field | Widget library

As the title states, I want to match the timestamp and text lines of a .srt file subtitles.

some of these files are not formatted properly, so I need something to work with almost all of them.

the correct formatting of a file is like this:

I am attempting to dynamically generate a JSON, however, the method I follow leaves a last }, making the JSON invalid:

We are trying to build a centralised CodeGuru profiler dashboard as described by the documentation at https://aws.amazon.com/blogs/devops/building-a-centralized-codeguru-profiler-dashboard-multi-account/.

So in effect, we have our CodeGuru profiling group under a central aws-code-analysis account and the actual application running under aws-application account. We are facing an issue with the cross-account connectivity. It appears the agent running under the aws-application account is trying to look for the profiling group under the local aws-application account instead of connecting to the central aws-code-analysis account.

Both the command line invocation of the agent (as documented here) as well as integration by code (as documented here) accept only the profiling-group-name as input and not the full ARN or account-id, profiling-group-name combination. So I'm not sure how the agent would determine which account to connect to? I couldn't find a way of explicitly specifying account-id to use anywhere.

Appreciate any pointers.

I am trying to implement simple JMS Producer and Consumer within Wildfly(Version 24) and remote ActiveMQ Artemis broker.

standalone.xml

I’m trying to get an AWS Auto Scaling Group to replace ‘unhealthy’ instances, but I can’t get it to work.

From the console, I’ve created a Launch Configuration and, from there, an Auto Scaling Group with an Application Load Balancer. I've kept all settings regarding the target group and listeners the same as the default settings. I’ve selected ‘ELB’ as an additional health check type for the Auto Scaling Group. I’ve consciously misconfigured the Launch Configuration to result in ‘broken’ instances -- there is no web server to listen to the port configured in the listener.

The Auto Scaling Group seems to be configured correctly and is definitely aware of the load balancer. However, it thinks the instance it has spun up is healthy.

My docker compose has the following 2 services and keycloak used to startup just fine until today:

I would like to create a graph of the proportion of total memory consumed by each of the following for a given instance:

• node_memory_MemFree_bytes{instance="$instance"}
• node_memory_MemAvailable_bytes{instance="$instance"}
• node_memory_Buffers_bytes{instance="$instance"}
• node_memory_Cached_bytes{instance="$instance"}

I know I can create a single graph from 4 separate queries where each metric is divided by node_memory_MemTotal_bytes{instance="$instance"}:

• Query A: node_memory_MemFree_bytes{instance="$instance"} / node_memory_MemTotal_bytes{instance="$instance"}
• Query B: node_memory_MemAvailable_bytes{instance="$instance"} / node_memory_MemTotal_bytes{instance="$instance"}
• Query C: node_memory_Buffers_bytes{instance="$instance"} / node_memory_MemTotal_bytes{instance="$instance"}
• Query D: node_memory_Cached_bytes{instance="$instance"} / node_memory_MemTotal_bytes{instance="$instance"}

I feel like there should be a terser way of doing this with group_left since the right hand side is the same for each query and the left hand side can be reduced to a single query:

• Left: {__name__=~"node_memory_(MemFree|MemAvailable|Buffers|Cached)_bytes",instance="$instance"}
• Right: node_memory_MemTotal_bytes{instance="$instance"}

If I understand the "Operators" docs and this blog post correctly, I should be able to use group_left to do this in a single query. However, I've been unable to do so.

I reason that since the left and right side of the equation have exactly the same labels excluding __name__, I shouldn't need to use ignoring or on for the group_left operator:

I have an input file

I wanted to apply the solutions found here and here for a problem I had. I wrote a function that had the following return line (aka line 1):