pytest
kubernetes
pytest | kubernetes | |
---|---|---|
39 | 796 | |
12,840 | 116,105 | |
0.7% | 0.6% | |
9.8 | 10.0 | |
5 days ago | 7 days ago | |
Python | Go | |
MIT License | Apache License 2.0 |
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.
pytest
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Most Effective Approaches for Debugging Applications
Large-scale changes to fix a bug often introduce unintended side effects, making incremental fixes a safer approach. Robbin Schuchmann, Co-Founder of EOR Overview, advises, “Applying fixes incrementally is the most reliable way to correct bugs in applications.” By adjusting one variable or function at a time and validating each change with tools like pytest or Mocha, developers ensure fixes are effective without destabilizing the system. This aligns with test-driven development (TDD), which a 2022 IEEE study found reduces defect rates by 15%. Incremental fixes also simplify rollbacks, preserving stability.
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10 Useful Tools and Libraries for Python Developers
5. Pytest - Simple Yet Powerful Testing
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How to Run Tests in Visual Studio Code: A Complete Guide
Python: pytest
- Testando código que chama serviços da AWS
- Ruby "Thread Contention" Is Simply GVL Queuing
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staging and QA will not save your systems
Unit Testing: JUnit, Mocha, PyTest
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How ReportPortal "Made" Pytest Run Twice
Quotation marks in pytest command collects duplicate tests #7012
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The Top 9️⃣ Repositories to learn Python programming + Resources (Extra) 🤯
⭐️ Pytest on GitHub.
- Local Variables as Accidental Breadcrumbs for Faster Debugging
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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! 🚀
kubernetes
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AWS open source newsletter, #211
Kubernetes version 1.33 introduced several new features and bug fixes, and AWS is excited to announce that you can now use Amazon Elastic Kubernetes Service (EKS) and Amazon EKS Distro to run Kubernetes version 1.33. Starting today, you can create new EKS clusters using version 1.33 and upgrade existing clusters to version 1.33 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool. Kubernetes version 1.33 includes stable support for sidecar containers, topology-aware routing and traffic distribution, and consideration of taints and tolerations when calculating pod topology spread constraints, ensuring that pods are distributed across different topologies according to their specified tolerance. This release also adds support for user namespaces within Linux pods, dynamic resource allocation for network interfaces, and in-place resource resizing for vertical scaling of pods. To learn more about the changes in Kubernetes version 1.33, see our documentation and the Kubernetes project release notes.
- Kubernetes: Binaries size reduction using dead code elimination
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10+ Most Powerful GitHub Repos I Discovered in 2025 (You’ll Wish You Knew Sooner)
3. Kubernetes (kubernetes/kubernetes) – Container Orchestration at Scale
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Autonomous SRE: Revolutionizing Reliability with AI, Automation, and Chaos Engineering
Self-Healing Pods/Containers: Platforms like Kubernetes inherently offer self-healing capabilities, automatically restarting or rescheduling unhealthy containers or pods to maintain desired service levels. This is fundamental to cloud-native resilience.
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First Kubernetes Deployment with Minikube
Kubernetes Kubernetes is a tool for orchestrating(managing) docker containers. With this tool you can deploy, scale and manage your containerized apps. Kubernetes commonly used in developing and production.
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Syntactic Support for Error Handling
Global settings are easy to check and verify and modern frameworks handle it for you, because there's all these knobs. (I agree it's waaay too many, but that's because there's a runtime and on top of that there's a process manager, and on top of that there's nginx/apache or other reverse proxy.)
Sure, someone can write a Go library to wrap every low-level function to make sure there's some error handling, maybe with closures and generics it would be quite okay.
In Go if you don't see the error handled you know it's not handled anywhere else. Great? Well, sure .. um, maybe? After all if you want to handle it you need to add error handling there. Consequently your code now is 3x as many lines and ~66% of it is returning errors upward. It's the new Assembly.
(I don't think try-catch is good, I think that PHP's error handling is better despite try-catch.)
Porting to Go (for reliability or otherwise), why? There are other languages out there! Especially if you spent the last decade learning about compile-time checks.
I know that k8s (and tons of now-critical software) is written in Go, and it's not a pretty sight -- and instead of having better abstractions there's NASA-cargo-culting[0]. Linux is written in C. It does not make C a great choice for many reasons. (Go is definitely a better choice than C when it comes to memory safety for example, but I prefer Scala or Rust.)
Facebook added their own typing to PHP (and tellingly called it Hack, of course).
[0] https://github.com/kubernetes/kubernetes/blob/ec2e767e593953...
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Why Golang Is Such a Powerful Language
Kubernetes is a system for managing containers. It helps you run apps across many servers. It handles scaling, failover, and more. It’s used by big tech companies and is one of the most important cloud tools today. Written in Go.
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12 Lựa Chọn Thay Thế Vercel Cần Xem Xét Vào Năm 2025
Kubernetes + Pipeline CI/CD
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Is Go Worth Learning in 2025?
Cloud-Native Friendly: Lightweight and fast, Go apps fit perfectly into containerized environments like Docker and Kubernetes.
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India Open Source Development: Harnessing Collaborative Innovation for Global Impact
Over the years, Indian developers have played increasingly vital roles in many international projects. From contributions to frameworks such as Kubernetes and Apache Hadoop to the emergence of homegrown platforms like OpenStack India, India has steadily carved out a global reputation as a powerhouse of open source talent.
What are some alternatives?
Slash - The Slash testing infrastructure
deckhouse - Kubernetes platform from Flant
Robot Framework - Generic automation framework for acceptance testing and RPA
Apache ZooKeeper - Apache ZooKeeper
nose2 - The successor to nose, based on unittest2
consul - Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.