goss VS Grafana

Certain checks may be possible with goss and the kgoss wrapper: https://github.com/goss-org/goss/tree/master/extras/kgoss

Docker would work. I suggest also integrating infrastructure tests to validate your install script behaved as expected. For example, you could use goss.

I've used https://github.com/goss-org/goss in the past and enjoyed it

To answer my own question... https://github.com/goss-org/goss looks like it might do the job - at least for Linux. Windows support is alpha - and there isn't a wealth of CIS benchmarks. Might be a good project to contribute to

Adding an extra layer of security on the container image to verify if it is working as expected and has all required files with correct permissions. We can use dgoss to do validation tests of container images.

Bit of a strange one here - Goss. This is a testing tool that we use on all of our servers to validate they are working as expected. Think of it as a sanity check after changes. We have a set of tests setup that validate that the server is working as expected and we run it automatically after any change.

check out https://github.com/aelsabbahy/goss

Use GOSS, a YML-based open-source tool that can assert the test results (i.e., verifying if the SSH port 22 is closed or not).

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.