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The blog post discusses the significance of integrating observability into the development process, much like tests, to better understand and monitor applications in production. It emphasizes using OpenTelemetry for tracing and logging to gain insights into application behavior, advocating for the incorporation of observability during development for a more natural workflow and enhanced system understanding.
https://www.honeycomb.io/blog/observability-is-about-confidence
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The Pkl Team has introduced Pkl, a new open-source programming language specifically designed for creating configurations. Pkl aims to bridge the gap between static configuration languages and general-purpose programming languages, offering a solution that combines the simplicity and readability of the former with the expressiveness and flexibility of the latter. The language includes features like classes, functions, conditionals, and loops, allowing for robust and reusable configuration scripts. Pkl also emphasizes safety with built-in validation, scalability for various use cases, and a pleasant development experience through excellent IDE integrations.
https://pkl-lang.org/blog/introducing-pkl.html
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The article on HashiCorp's blog discusses the application of chaos engineering to HashiCorp Vault to enhance its resilience. It outlines using Gremlin chaos engineering tests and Vault stress testing tools to simulate disruptions, aiming to identify and mitigate reliability risks in Vault architectures. The post emphasizes the importance of chaos engineering in revealing hidden problems, improving system performance, and ensuring the system's resilience against failures, particularly for a system as critical as Vault which manages secrets for mission-critical applications.
https://www.hashicorp.com/blog/vault-chaos-engineering
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The API traffic analyzer for Kubernetes providing real-time K8s protocol-level visibility, capturing and monitoring all traffic and payloads going in, out and across containers, pods, nodes and clusters. Inspired by Wireshark, purposely built for Kubernetes

https://github.com/kubeshark/kubeshark
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