Telemetry tips
Some tips to keep your telemetry data and code clean Datadog Observability
When getting started with a new telemetry platform you may not know what conventions you need to set and follow. Even if you do, how do you get the rest of the team to follow them too. In this post I will give some tips for making sure the data hitting your telemetry tool is clean and organised so you can make the most of it, while not compromising the readability of your application code.
Choosing a telemetry platform
A look at some of the non-obvious points to consider
Datadog Observability
Tools for architecture documentation
Using devcontainers to enable easy developer documentation
Architecture Diagrams Modeling VS Code C4
A simple FP architecture
How do I build a production application in a functional language?
Architecture F# Functional Programming FsAdvent
Reliable APIs - Part 3
The epic saga of client-side IDs and true idempotency
Distributed Systems API Design Reliability Idempotent Client-generated ID
Reliable APIs - Part 2
Using Idempotency-Key and a response cache
Distributed Systems API Design Reliability Idempotent
Reliable APIs - Part 1
Exploring reties, retry implications, and the failure modes they are appropriate for
Distributed Systems API Design Reliability
Capturing custom business metrics in Azure Functions
A Proof-of-concept for scraping Prometheus metrics from Azure Functions
F# Observability PrometheusCategories
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About me
A South African living in Rotterdam, Netherlands. Software development, clean code, functional programming, Domain-Driven Design, TDD, other acronyms. Basically I just like learning new things and want to get better at what I love doing. Occassionally I write about what I learn here.