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Nicolas Fränkel is a technologist focusing on cloud-native technologies, DevOps, CI/CD pipelines, and system observability. His focus revolves around creating technical content, delivering talks, and engaging with developer communities to promote the adoption of modern software practices. With a strong background in software, he has worked extensively with the JVM, applying his expertise across various industries. In addition to his technical work, he is the author of several books and regularly shares insights through his blog and open-source contributions.
- The subtle art of waiting (2025-04-20)
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Recently, while working on a workshop titled Testing Your Pull Request on Kubernetes with GKE, and GitHub Actions, I faced twice the same issue: service A needs service B, but service A starts faster than service B, and the system fails. In this post, I want to describe the context of these issues and how I solved them both with the same tool. Waiting in Kubernetes It might sound strange to wait in Kubernetes. The self-healing nature of the Kubernetes platform is one of its biggest benefits. […]
- High-cardinality values for build flags in Rust (2025-04-13)
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While working on my demo on WebAssembly and Kubernetes, I wanted to create three different binaries based on the same code: Native: compile the Rust code to regular native code as a baselineEmbed: compile to WebAssembly and use the WasmEdge runtime image as the base Docker imageRuntime: compile to WebAssembly, use a base scratch image as my base image, and set the runtime when running the code The code itself is an HTTP server that offers a single endpoint. For the sake of the demo, I wanted it[…]
- Even more OpenTelemetry - Kubernetes special (2025-04-06)
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I have presented my OpenTelemetry demo many times, and I still do. Each time, the audience is different. To make no two presentations the same, I always ask attendees what stack they are more interested in. I also regularly add new features for the same reason. I was a victim of the IT crisis last summer, and my company fired me, so I no longer work on Apache APISIX. They say that the Chinese ideogram for crisis contains the ideogram for opportunity. I used this opportunity to join LoftLabs. Lo[…]
- Practical introduction to OpenTelemetry tracing @ jPrime
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Tracking a request’s flow across different components in distributed systems is essential. With the rise of microservices, their importance has risen to critical levels. Some proprietary tools for tracking have been used already: Jaeger and Zipkin naturally come to mind. Observability is built on three pillars: logging, metrics, and tracing. OpenTelemetry is a joint effort to bring an open standard to them. Jaeger and Zipkin joined the effort so that they are now OpenTelemetry compatible. In this talk, I’ll describe the above in more detail and showcase a (simple) use case to demo how you could benefit from OpenTelemetry in your distributed architecture.
- End-to-End Pull Request Testing on Kubernetes: A Walkthrough @ GeeCon
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As applications increasingly rely on Kubernetes for deployment, ensuring seamless integration and end-to-end testing during pull requests is crucial. This talk dives into the practical steps of building a robust CI/CD pipeline that mirrors production environments, enabling reliable and efficient testing within your Kubernetes ecosystem. We’ll explore how to: * Set up foundational unit and integration tests using modern tools like Testcontainers and GitHub Workflows. * Integrate Google Kubernetes Engine (GKE) to emulate a production-grade cluster for testing. * Leverage vCluster to isolate test environments, ensuring parallel runs and minimizing interference. * Attendees will gain actionable insights to create scalable and maintainable testing pipelines via an existing working example.
- End-to-End Pull Request Testing on Kubernetes: A Walkthrough @ KCD Istanbul
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As applications increasingly rely on Kubernetes for deployment, ensuring seamless integration and end-to-end testing during pull requests is crucial. This talk dives into the practical steps of building a robust CI/CD pipeline that mirrors production environments, enabling reliable and efficient testing within your Kubernetes ecosystem. We’ll explore how to: * Set up foundational unit and integration tests using modern tools like Testcontainers and GitHub Workflows. * Integrate Google Kubernetes Engine (GKE) to emulate a production-grade cluster for testing. * Leverage vCluster to isolate test environments, ensuring parallel runs and minimizing interference. * Attendees will gain actionable insights to create scalable and maintainable testing pipelines via an existing working example.
