wakatime-cli VS prometheus

None of those use the recommended wakatime-cli, which would solve most of these issues. You're getting Linux instead of Windows sometimes because the plugin's User-Agent header isn't consistent when sending heartbeats to the WakaTime API, sometimes using the default Unity header and sometimes using a custom header.

Search for the WakTime extension in your IDEs extension's marketplace or follow the Official Plugins Docs

WakaTime tracks programming activity. The heavy lifting is done by the external WakaTime CLI, so the extension itself must be super lightweight right?

Wakapi is a Wakatime compatible open-source backend for collecting and visualizing coding statistics. It can be self-hosted fairly easily be running the provided Docker image. The compatibility with Wakatime is a big bonus since Wakatime provides many plugins for data collection from your favorite IDE or text editor. I'm pretty sure you can find an integration for your most loved tool here. Let's see how one can run Wakapi with Docker.

What's the recommended way to prevent my open source program from being flagged as false-positive malware on every release? [0] It also seems to be preventing the open source vscode plugin from reading a necessary config file in the user's home directory. If it's not possible to prevent the false-positives is there some way to detect if reading a file fails because of Defender vs. other reasons, like file not exists?

[0] https://github.com/wakatime/wakatime-cli/issues/660

I really tried to use PyInstaller and Nuitka to deploy a Python command line [1] to Windows, Mac, and Linux users. We couldn't get around some system dependencies like OpenSSL needing to be available and not broken on user machines. We ended up re-writing the whole program from Python into Go [2].

Using Go solved so many long-tail bugs for us and just simplified the whole process of shipping code to user machines.

[1] https://github.com/wakatime/legacy-python-cli

[2] https://github.com/wakatime/wakatime-cli

Fixed with https://github.com/wakatime/wakatime-cli/commit/56a85c90fd824c8f930f2b3a9f104872e48d6b01.

It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes query acceleration with Bloom filters, native OTel support, Helm charts, and more. Check out the changelog for all the major changes and deprecations.

WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and

Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.

Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.

Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.

Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.

Prometheus

Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.