|
ℹ️
|
If you’re interested in knowing more, please check the code. |
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.
- Mutation Testing in Rust (2025-03-30)
-
I’ve been a big fan of Mutation Testing since I discovered PIT. As I dive deeper into Rust, I wanted to check the state of mutation testing in Rust. Starting with cargo-mutants I found two crates for mutation testing in Rust: cargo-mutantsand mutagen mutagen hasn’t been maintained for three years, while cargo-mutants is still under active development. I’ve ported the sample code from my previous Java code to Rust: struct LowPassPredicate { threshold: i32, } impl […]
- Clean your Memory: From Finalize to Cleaner (2025-03-23)
-
Garbage collection in Java takes care of memory management, but it does not clean up non-memory resources like sockets or file handles. Resource leaks may occur without proper management, leading to performance degradation or crashes. Java’s Cleaner API, introduced in Java 9, provides a modern and efficient mechanism for resource cleanup when objects are no longer reachable. It addresses the shortcomings of the deprecated finalize() method, offering a predictable and efficient way to manage[…]
- One giant Kubernetes cluster for everything (2025-03-16)
-
The ideal size of your Kubernetes clusters is a day 0 question and demands a definite answer. You find one giant cluster on one end of the spectrum and many small-sized ones on the other, with every combination in between. This decision will impact your organization for years to come. Worse, if you decide to change your topology, you’re in for a time-wasting and expensive ride. I want to list each approach’s pros and cons in this post. Then, I’ll settle the discussion once a[…]
- Practical introduction to OpenTelemetry tracing @ London Java Community
-
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.
- Practical introduction to OpenTelemetry tracing @ Manchester Java Community
-
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.
- Practical introduction to OpenTelemetry tracing @ Dublin JUG
-
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.
