Intuitive find & replace CLI (sed alternative)

https://github.com/chmln/sd

The minimal, blazing-fast, and infinitely customizable prompt for any shell!

https://github.com/starship/starship

Engineering productivity is essential for delivering high-quality software efficiently, and with the rise of Generative AI (GenAI), teams can leverage new tools to boost their workflows. This article explores how engineering productivity metrics are evolving with the integration of GenAI, offering insights into measuring and improving productivity while adopting AI-powered solutions in software development processes.

https://isthisit.nz/posts/2024/engineering-productivity-metrics-genai/

Building scalable infrastructure is crucial for organizations looking to handle growth and ensure long-term sustainability. This article from Spacelift discusses best practices for creating scalable infrastructure, focusing on automation, modularity, and efficient resource management. Learn how to design infrastructure that can scale with your needs while maintaining reliability and performance.

https://spacelift.io/blog/scalable-infrastructure

Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS, and Windows operating systems.

https://github.com/nicolargo/glances

A K8s operator to reduce CO2 footprint of your clusters

https://github.com/kube-green/kube-green

"No More Blue Fridays" by Brendan Gregg reflects on how performance issues in production environments can disrupt operations, particularly on high-traffic days like Black Friday. The article discusses strategies for preventing system slowdowns and crashes, emphasizing the importance of proactive performance engineering. Learn how to build resilient systems that can handle peak loads without causing downtime, ensuring smooth and successful operations during critical periods.

https://www.brendangregg.com/blog/2024-07-22/no-more-blue-fridays.html

Staged rollouts are commonly used to minimize risk during software deployment, but they also come with certain limitations. This article from the University of Toronto explores the challenges and constraints of staged rollouts, such as incomplete testing scenarios and potential customer impacts. Learn how to manage these limitations while ensuring a smooth and controlled deployment process.

https://utcc.utoronto.ca/~cks/space/blog/tech/StagedRolloutsLimitations

Tracetest - Build integration and end-to-end tests in minutes, instead of days, using OpenTelemetry and trace-based testing.

https://github.com/kubeshop/tracetest

Request analytics from the nginx access logs

https://github.com/facundoolano/ngtop

Choosing between a monolithic architecture and an event-driven architecture (EDA) can have significant impacts on scalability, flexibility, and performance. This article from Simple AWS compares these two architectures, providing examples and insights into when to choose one over the other. Learn about the advantages and trade-offs of each approach to make informed decisions for your application development and infrastructure design.

https://newsletter.simpleaws.dev/p/monolith-vs-event-driven-architecture-comparison-example

The kubectl debug command is a powerful tool for troubleshooting issues in Kubernetes. This article from HackerNoon provides a step-by-step guide on how to effectively use the kubectl debug command to diagnose and resolve problems in your Kubernetes clusters. Learn how to inspect running pods, troubleshoot containers, and gain deeper insights into your workloads for more efficient debugging.


https://hackernoon.com/how-to-work-with-the-kubectl-debug-command

Ping, but with a graph

https://github.com/orf/gping

Fast & Minimalistic Database Browser

https://github.com/murat-cileli/dbee

Migrating to a new Kubernetes platform can be a complex journey filled with unforeseen challenges and adjustments. This article shares Klaviyo’s experience in navigating this transition, highlighting the technical hurdles, strategic decisions, and lessons learned along the way. By detailing their approach to a seamless migration, it offers valuable insights for teams planning similar Kubernetes moves and helps them anticipate potential obstacles.

https://klaviyo.tech/piloting-through-the-fog-a-tale-of-migrating-to-a-new-kubernetes-platform-7fe5677310fa

Autonomous cost optimization in Kubernetes is essential for managing cloud resources efficiently without compromising performance. This article from StormForge introduces autonomous cost optimization, explaining how machine learning and automation can be applied to Kubernetes clusters to reduce costs. Learn how to optimize resource usage, balance workloads, and save on cloud expenses while maintaining system performance.


https://stormforge.io/blog/intro-autonomous-cost-optimization-kubernetes

Kyverno and Gatekeeper are two popular tools for policy management in Kubernetes, but each has its unique strengths. In this article, Glen Yu explains why he prefers Kyverno over Gatekeeper for Kubernetes-native policy management. The article covers the ease of use, integration capabilities, and flexibility of Kyverno, and why it’s often a better fit for Kubernetes environments looking for simpler and more powerful policy enforcement.

https://medium.com/@glen.yu/why-i-prefer-kyverno-over-gatekeeper-for-native-kubernetes-policy-management-35a05bb94964

A command-line benchmarking tool

https://github.com/sharkdp/hyperfine

A network diagnostic tool

https://github.com/fujiapple852/trippy

The video covers data agility, focusing on the challenges of building large-scale data systems. Martin Kleppmann discusses the complexity of integrating multiple components like databases, caches, search engines, and graph systems. He introduces event streams and systems like Kafka and Samza as solutions to improve scalability and reduce complexity by processing data in a unified, ordered log. Kleppmann emphasizes loose coupling of components, event-driven architectures, and stream processing to achieve a more scalable and maintainable system.

https://www.youtube.com/watch?v=b_H4FFE3wP0