posidonius VS Grafana

Observatory of Geneva | Rust/Python Software Engineer | Geneva (Switzerland) | Hybrid Schedule | Full time (2.5 years)

The Observatory of Geneva (World renown in the field of exoplanetology, where Michel Mayor and Didier Queloz detected the first exoplanet, which got them a Nobel Prize in physics in 2019), in collaboration with the CEA (a French public government-funded research organization), will be seeking one talented junior software engineer to develop and improve two scientific codes which will predict the destiny of planetary systems (ESPEM & Posidonius, see https://github.com/marblestation/posidonius).

The successful candidate will:

- Collect the requirements (e.g., the code must run in multiple operating systems, provide pluggable solvers) that will inform future decisions about the design and implementation of a new ESPEM;

- Evaluate the use of more modern programming languages and design patterns (such as Rust and Python 3) for the new ESPEM;

- Design and implement a new version of ESPEM, reproducing the physics present in the current version of ESPEM but following the best coding practices;

- Design building blocks that will allow the implementation of new physics in a modular architecture for the new ESPEM;

- Implementation and integration of new physics in ESPEM and Posidonius;

- Write the corresponding documentation;

- Write unit tests to reach a coverage above 80% of the code;

- Identify optimizations that could help reduce the execution time, particularly certain functionalities that are more computing intense;

- Write visualization routines to easily explore the results.

Entry salary of 85,000 CHF with annual revisions + flexible schedule/environment (up to two days of allowed remote work) + friendly working culture with nice work-life balance + international travels (e.g. CEA headquarters in the Paris region, conferences).

Your contribution will be open source and it will have a world-wide impact in the exoplanet community!

Contact us with your CV and/or your questions: emeline.bolmont at unige.ch

We encourage applications from minorities, women, individuals with disabilities, and all other qualified applicants!

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: