Daniel Albuquerque
Principal Engineer at Teya
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolDaniel Albuquerque is a Principal Engineer based in London with 11 years of experience building resilient, cloud-native systems and leading engineering efforts at companies like Expedia Group and Teya. He blends backend development and DevOps expertise, evidenced by contributions to prominent open-source projects such as resilience4j and the Kubernetes-focused kube-monkey and flagger, improving fault tolerance, progressive delivery, and chaos testing. Daniel has a track record of shipping pragmatic changes—configuration options, test-suite enhancements, and safer pod termination logic—that improve observability and reliability in production. Comfortable operating across teams and codebases, he focuses on practical, test-driven improvements that reduce operational risk while enabling faster delivery.
11 years of coding experience
15 years of employment as a software developer
Master in Informatics and Computing Engineering Computer Engineering, Master in Informatics and Computing Engineering Computer Engineering at Universidade do Porto
English
Github Skills (29)
debugging10
kubernetes10
debug10
rate-limiting10
circuit-breaker10
leakcanary10
testing10
configuration-management10
java10
cicd10
gitops10
javas10
chrome-canary10
go10
kubernetes-pods10
Programming languages (13)
Github contributions (5)
asobti/kube-monkey
Aug 2018 - Jan 2023
An implementation of Netflix's Chaos Monkey for Kubernetes clusters
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:7 releases, 32 reviews, 42 commits in 4 years 5 months
Contributions summary:Daniel primarily contributed to the implementation of fixed and max percentage kill modes within the Kubernetes Chaos Monkey implementation. Their work included fixing bugs, adding unit tests, and refactoring code related to pod termination logic. Furthermore, they worked on updating error messages, calculating the number of pods to kill, and integrating the new functionality within the application. The user also demonstrated skills in testing, code refactoring, and debugging, which were all crucial to the enhancements.
chaosnetflixclustersnetflix-chaos-monkeymonkey
resilience4j/resilience4j
Sep 2019 - Sep 2020
Resilience4j is a fault tolerance library designed for Java8 and functional programming
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 7 PRs, 17 comments in 1 year
Contributions summary:Daniel primarily focused on enhancing the `resilience4j` library by exposing and implementing new configuration properties. They introduced a feature to disable writable stack traces within the circuit breaker and rate limiter configurations, improving logging efficiency. Additionally, they addressed thread pool configuration issues and contributed to health indicator implementations, impacting the library's stability and monitoring capabilities. These changes involved modifications across multiple modules including circuit breaker, ratelimiter, and bulkhead, revealing a focus on core library features and configuration options.
uidfunctional-programmingtolerancefaultrate-limiter
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