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

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