EKS Node Viewer

https://github.com/awslabs/eks-node-viewer

Understanding different team types is crucial for structuring effective organizations and fostering collaboration. This article from IT Revolution outlines the four team types in modern software development: Stream-aligned, Enabling, Complicated-Subsystem, and Platform teams. Learn how each team type functions, their responsibilities, and how they can work together to deliver value efficiently and improve overall organizational performance.

https://itrevolution.com/articles/four-team-types/

Speeding up container image builds is vital for efficient CI/CD pipelines. This article from the CD Foundation discusses how to optimize container image builds using Tekton Pipelines. Discover strategies and best practices for reducing build times, enhancing build efficiency, and leveraging Tekton's capabilities to streamline your development workflow.
https://cd.foundation/blog/2023/10/12/speed-up-container-image-builds-tekton-pipelines/

Disk Usage/Free Utility - a better 'df' alternative

https://github.com/muesli/duf

cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.

https://github.com/cheat/cheat

Kubernetes Operators are a powerful tool for automating the management of complex applications in a Kubernetes environment. This guide from Red Hat provides developers with an in-depth understanding of Kubernetes Operators, covering their architecture, development process, and practical use cases. Learn how to build, deploy, and manage Operators to simplify application lifecycle management and ensure more efficient, automated operations in your Kubernetes clusters.

https://developers.redhat.com/articles/2024/01/29/developers-guide-kubernetes-operators

Kubernetes is a powerful platform for managing containerized applications, but it can be challenging to master. This guide from Marco Behler provides a comprehensive introduction to Kubernetes, covering essential concepts such as containers, pods, services, and deployments. Whether you're a beginner or looking to deepen your knowledge, this guide offers practical insights and examples to help you understand and effectively use Kubernetes for managing your infrastructure.

https://www.marcobehler.com/guides/kubernetes

📚 Collaborative cheatsheets for console commands

https://github.com/tldr-pages/tldr

Yet another cross-platform graphical process/system monitor.

https://github.com/ClementTsang/bottom

Automating deployments can significantly improve efficiency, but it also introduces unique challenges and risks. This article from Slack Engineering explores the potential pitfalls of automating deploys, highlighting the importance of balancing speed with caution. Learn about the technical and organizational considerations that Slack faced while automating their deployment processes and discover best practices for minimizing risks while leveraging automation.

https://slack.engineering/the-scary-thing-about-automating-deploys/

Developer Friendly Kubernetes 👁

https://github.com/cyclops-ui/cyclops

Understanding the difference between microflows and workflows is essential for effectively designing and orchestrating business processes. This whitepaper from WSO2 offers a precise definition of microflows, distinguishing them from traditional workflows. It delves into how short-lived orchestrations (microflows) fit into the larger context of business process management, and their specific use cases. Gain insights into how microflows can enhance efficiency and agility in modern software architectures.

https://wso2.com/whitepapers/towards-a-precise-definition-of-microflows-distinguishing-short-lived-orchestration-from-workflows/

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Alert fatigue can significantly reduce the effectiveness of monitoring systems, leading to missed critical alerts. This article from Datadog offers best practices to prevent alert fatigue, focusing on strategies such as fine-tuning alert thresholds, reducing noise, and using dynamic alerting systems. Learn how to implement these practices to ensure that your alerting system remains actionable and effective, improving both system reliability and team response times.

https://www.datadoghq.com/blog/best-practices-to-prevent-alert-fatigue/

ripgrep recursively searches directories for a regex pattern while respecting your gitignore

https://github.com/BurntSushi/ripgrep

Fly through your shell history. Great Scott!

https://github.com/cantino/mcfly

If you work in shell/terminal often enough, then over time the history will become your personal knowledge vault, documentation and command reference. Being able to use this personal documentation efficiently can hugely boost your productivity. So, here are a couple of tips on how to optimize your shell history configuration and usage to get the most out of it.

https://martinheinz.dev/blog/110

Effective trace instrumentation is crucial for gaining deep insights into distributed systems, and adhering to semantic conventions can enhance observability. This article from Honeycomb discusses the importance of following semantic conventions when instrumenting traces, ensuring that data is meaningful and consistent across services. Learn how to implement best practices for trace instrumentation to improve system performance monitoring and debugging.

https://www.honeycomb.io/blog/effective-trace-instrumentation-semantic-conventions

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Intuitive find & replace CLI (sed alternative)

https://github.com/chmln/sd