gauge | Circular gauge indicator component

I'm trying to apply Prometheus metrics using the micrometer @Timed annotations. I found out that they only work on controller endpoints and not "simple" public and private methods.

Given this example:

I'm new to AWS and I am trying to gauge what migrating our existing applications into AWS would look like. I'm trying to host multiple apps as Services under a single ECS cluster, and use one Application Load Balancer with hostname rules to route requests to the correct container.

I was originally thinking I could give each service its own Target Group, but I ran into the RESOURCE:ENI error, which from what I can tell means that I can't just attach as many Target Groups as I want to the same cluster.

I don't want to create a separate cluster for each app, or use separate load balancers for them because these apps are very small and receive little to no traffic so it just wouldn't make sense. Even the minimum of 0.25 vCPU/0.5 GB that Fargate has is overkill for these apps.

What's the best way to host many apps under one ECS cluster and one Load Balancer? Is it best to create my own reverse-proxy server to do the routing to different apps?

I am attempting to create a gauge panel in Grafana (Version 6.6.2 - presume that upgrading is a last resort, but possible if necessary, for the purposes of this problem) that can represent the percentage of total available memory used by the Java Virtual Machine running a process of mine. the problem that I am running into is the following:

I have used Springboot actuator's metrics and imported them into an Influx database with Micrometer, but in the process, it has stored the two values that I would like to use in my calculation into two different measurements. jvm_memory_used and jvm_memory_max

My initial Idea was to simply call a SELECT on both of the measurements to get the value that I want, and then divide the "used" / "max" and multiply that value by 100 to get the percentage to display. Unfortunately I run into syntax errors when I try to do this manually, and I am unsure if I can do this using Grafana's query builder.

I know that the syntax is incorrect, but I am not familiar enough with InfluxQL to know how to properly structure this query. Here is what I had tried:

We have a Prometheus Postgres Exporter set up and expect we can get stats of rows inserted into table

I've an application, and I'm running one instance of this application per AWS region. I'm trying to instrument the application code with Prometheus metrics client, and will be exposing the collected metrics to the /metrics endpoint. There is a central server which will scrape the /metrics endpoints across all the regions and will store them in a central Time Series Database.

Let's say I've defined a metric named: http_responses_total then I would like to know its value aggregated over all the regions along with individual regional values. How do I store this region information which could be any one of the 13 regions and env information which could be dev or test or prod along with metrics so that I can slice and dice metrics based on region and env?

I found a few ways to do it, but not sure how it's done in general, as it seems a pretty common scenario:

• Storing region and env info as labels with each of the metrics (not recommended: https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels)
• Using target labels - I have region and env value with me in the application and would like to set this information from the application itself instead of setting them in scrape config
• Keeping a separate gauge metric to record region and env info as labels (like described here: https://www.robustperception.io/exposing-the-software-version-to-prometheus) - this is how I'm planning to store my application version info in tsdb but the difference between app version info and region info is: the version keeps changing across releases however region is which I get from the config file is constant. So, not sure if this is a good way to do it.

I'm new to Prometheus. Could someone please suggest how I should store this region and env information? Are there any other better ways?

I have a large dataframe with 70,000 observations with column A and column B having pairs of nurses and physicians who worked together the same shift. Unfortunately there are some observations here and there (I can't quite gauge how many but it's a minority) where they are the same person in column A and column B but their names are spelled slightly differently because of the addition of a middle name or a nickname in one column but not in the other. I want to create a dataframe that ONLY has those rows. Is there a way to use a %like% and which function or something similar to identify all of these rows?

Here is an example of what I have:

What I want:

I have a table that looks like this:

I have two running emulators but they open together in different tabs and in one single window.

How to open them in two different window?

I'm trying to import performance test results history to Prometheus and faced a strange issue with the official Python Prometheus client.

Such code works correctly: