Thomas Peitz is a seasoned Site Reliability Engineer with 11 years of experience, now working as a freelance SRE from Düsseldorf, Germany. He has deep hands-on expertise in cloud-native infrastructure and AWS, demonstrated by contributions to prominent open-source projects like kOps and the prometheus-community CloudWatch exporter. Thomas focuses on production-grade automation, security group management, and resilient metrics pipelines, often refactoring core logic for performance and reliability. His background includes long-term SRE roles across multiple companies where he combined infrastructure design with operational excellence. Notably, he implemented core exporter logic and retry strategies to bridge AWS CloudWatch with Prometheus, showing a practical blend of backend engineering and observability. He brings a pragmatic, code-first approach to solving complex cloud operational challenges.
Prometheus exporter for AWS CloudWatch - Discovers services through AWS tags, gets CloudWatch metrics data and provides them as Prometheus metrics with AWS tags as labels
Role in this project:
Back-end & Cloud Engineer
Contributions:47 releases, 21 reviews, 361 commits in 4 years 5 months
Contributions summary:Thomas primarily worked on implementing the core logic of the prometheus exporter for AWS CloudWatch. Their contributions included setting up the initial structure, parsing configuration files, and developing the core logic to retrieve metrics from AWS services like EC2 and ELB. They also focused on integrating the exporter with the Prometheus ecosystem, including the implementation of metrics handlers and the use of the Prometheus client library. Furthermore, the user added cloudwatch retries and improved code for better performance.
Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
Role in this project:
Cloud Engineer / Infrastructure Engineer
Contributions:18 commits, 6 PRs, 42 comments in 2 years 4 months
Contributions summary:Thomas primarily focused on enhancing the `kops` project's AWS infrastructure management capabilities. Their contributions included adding support for specifying additional security groups for nodes and masters, modifying the cluster creation process, and updating related APIs and configuration files. They also made code style improvements and refactored code to use more efficient methods for handling input parameters. The user's changes involved core aspects of the project like AWS infrastructure management and overall system configuration, showcasing their knowledge of both cloud resources and the project's architecture.
k8skopskubernetesgocncf
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