Cedric Lamoriniere is an experienced Golang and C++ developer with 11 years building backend and DevOps tooling, based in France. He has a strong track record contributing to high-profile open-source projects like Datadog and kube-state-metrics, improving CI/CD, telemetry, and Kubernetes monitoring integrations. Cedric specializes in making distributed systems more reliable and observable—refactoring cluster agents, optimizing API payloads, and adding metrics support across Kubernetes versions. Comfortable across backend and DevOps responsibilities, he blends language-level engineering with automation, scripting, and chart/configuration work for Helm and agents. Notably, his contributions include parsing complex tag annotations for autodiscovery and streamlining CRD handling for Datadog Helm charts, reflecting a practical focus on production readiness.
Contributions:738 reviews, 227 commits, 314 PRs in 2 years 5 months
Contributions summary:Cedric primarily contributed to the automation and configuration of the Datadog Helm charts. Their work included modifying scripts to download and update CRDs for various Datadog products, streamlining the process. They also fixed issues in the README generation process, and updated the CI configuration to align with updated tooling and dependencies. These changes resulted in updates to the default versions, and improved the project's continuous integration/continuous delivery pipeline.
Contributions:1 release, 1563 reviews, 144 commits in 3 years 11 months
Contributions summary:Cedric contributed to the `datadog-agent` repository by modifying code related to the autodiscovery provider's handling of JSON values, specifically supporting the parsing of lists of maps for tag annotations. They also made changes to the cluster agent code to limit the number of calls from the agent to the DCA. Additionally, the user refactored code to align the DCA API payload and fixed multiple bugs within the cluster-agent and tagger components.
golangdatadog-agentagentobservabilitypmm
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