operator-sdk VS Grafana

operator-sdk: brew install operator-sdk

The operator that I've been working on is designed to manage the full lifecycle of a QuestDB database instance, including version and hardware upgrades, config changes, backups, and (eventually) recovery from node failure. I used the Operator SDK and kubebuilder frameworks to provide scaffolding and API support.

I've recently been working on an operator (built using the operator-sdk) that manages cluster node lifecycles. Kind allows you to spin up clusters with multiple nodes, using a Docker container per-node and joining them using a common Docker network. However, the kind executable does not allow you to modify an existing cluster by adding or removing a node.

To illustrate what we can do with an operator, I will create a proof of concept using operator-sdk. According to the official website::

Besides the frameworks TFA lists, you can also build Operators in Ansible or Helm.

https://sdk.operatorframework.io/

Operator SDK is basically just a thin wrapper for kube-builder

You mean the Operator SDK? https://sdk.operatorframework.io

yes I agree with youu, an issue has been opened on the operator-sdk github page regarding this topic https://github.com/operator-framework/operator-sdk/issues/6117

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.