sensu-go
pytest
sensu-go | pytest | |
---|---|---|
4 | 30 | |
977 | 11,371 | |
1.1% | 1.0% | |
4.5 | 9.8 | |
24 days ago | 5 days ago | |
Go | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sensu-go
- 2023 Development Tool Map
-
DevOps Tools Overview: Monitoring Cloud Infrastructure with CloudWatch and OpsGenie
Sensu
-
Top 6 DevOps Tools for Continuous Monitoring
One of the top DevOps monitoring tools, Sensu allows its users to monitor the health of your infrastructure, applications, and business KPIs. Sensu works by combining dynamic, static, and temporary infrastructure to solve modern-day challenges. Although not based on a SaaS platform, Sensu offers full control over the availability of your monitoring solutions.
-
Monitoring Server: Services, Storage, CPU/RAM, Custom ...
https://github.com/sensu/sensu-go is pretty good, flexible and scalable. Got around 400 servers with a total of around 10.000 checks.
pytest
-
Integrating Lab Equipment into pytest-Based Tests
In this blog post I want to demonstrate how my lab equipment such as a lab power supply or a digital multimeter (DMM) have been integrated into some pytest-based tests. Would love to get your feedback and thoughts! 🚀
-
The Uncreative Software Engineer's Compendium to Testing
Pytest: is a third-party testing framework that supports fixtures, parameterized testing, and easy test discovery while having room to add plugins to extend its functionality.
-
pytest VS vedro - a user suggested alternative
2 projects | 16 Jul 2023
-
TDD vs BDD - A Detailed Guide
Next, you need to install a testing framework that will be used for performing unit testing in your project. Several testing frameworks are available depending on the programming language used to create an application. For example, JUnit is commonly used for Java apps, pytest for Python apps, NUnit for .NET apps, Jest for JavaScript apps, and so on. We’ll use the Jest framework for this tutorial since we are using JavaScript.
-
Is there a way to automate testing in python? In my case :
Yea, read through the pytest docs.
- Testing an automation framework
-
Pytest Tips and Tricks
I absolutely agree about fixtures-as-arguments thing. Ward does this a lot better, using default values for the fixture factory. There's a long issue on ideas to implement something like that as a pytest plugin (https://github.com/pytest-dev/pytest/issues/3834), but it seems the resulting plugin relies on something of a hack.
- 2023 Development Tool Map
-
Is my merge sort right?
I recommend writing a few tests. py.test makes that quite simple:
-
How to raise the quality of scientific Jupyter notebooks
Since ITK's inception in 1999, there has been a focus on engineering practices that result in high-quality software. High-quality scientific software is driven by regression testing. The ITK project supported the development of CTest and CDash unit testing and software quality dashboard tools for use with the CMake build system. In the Python programming language, the pytest test driver helps developers write small, readable scripts that ensure their software will continue to work as expected. However, pytest can only test Python scripts by default, and errors in untested computational notebooks are more common than well-tested Python code.
What are some alternatives?
icinga2 - The core of our monitoring platform with a powerful configuration language and REST API.
nose2 - The successor to nose, based on unittest2
Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.
Robot Framework - Generic automation framework for acceptance testing and RPA
kubescout - Scout for alarming issues across your Kubernetes clusters
Behave - BDD, Python style.
prometheus - The Prometheus monitoring system and time series database.
Slash - The Slash testing infrastructure
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
hypothesis - Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
pixie - Instant Kubernetes-Native Application Observability
nose - nose is nicer testing for python