Hiroshi Hatake
Principal Engineer Software at Palo Alto Networks
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolHiroshi Hatake is a Principal Software Engineer based in Tokyo with 13 years of experience specializing in system programming, observability, and cloud-native logging. He is a core contributor and maintainer in the Fluent ecosystem (Fluentd/Fluent Bit), driving features from RPC and Kubernetes daemonsets to Windows EventLog support and WASM integration. Comfortable across C, Go, and build systems, he bridges embedded Linux/Yocto work for browsers with large-scale telemetry plumbing for Elasticsearch and Kafka. His open-source focus has improved multi-architecture builds, macOS/Windows compatibility, and secrets/auth handling in production plugins. Trained originally in chemistry (BS/MS), he combines rigorous scientific problem-solving with pragmatic engineering, often surfacing subtle cross-platform time and resource issues before they become incidents.
13 years of coding experience
13 years of employment as a software developer
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at 金沢大学Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at 大阪大学
English, Spanish
Github Skills (68)
package-management10
testing10
plugin-development10
c1110
yocto10
ruby10
c1710
javas10
data-loading10
elasticsearchquery10
aws-elasticsearch10
build-automation10
formulas10
dockerfile10
arm10
Programming languages (33)
Github contributions (5)
uken/fluent-plugin-elasticsearch
Jul 2015 - Sep 2022
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:74 reviews, 879 commits, 521 PRs in 7 years 3 months
Contributions summary:Hiroshi primarily contributed to the project by adding features related to authentication and secrets management, as evidenced by the addition of secret parameters in configuration files. Their work involved modifying core output plugins, specifically within the Elasticsearch output plugin's Ruby files, suggesting a focus on server-side configuration and data handling. Additionally, the user made improvements to test cases and implemented version-specific features related to exception handling and logging, indicating involvement in quality assurance and potentially improving the stability of the system.
fluent/fluentd-kubernetes-daemonset
Aug 2018 - May 2022
Fluentd daemonset for Kubernetes and it Docker image
Role in this project:DevOps Engineer
DevOps EngineerContributions:100 reviews, 130 commits, 100 PRs in 3 years 9 months
Contributions summary:Hiroshi primarily focused on enhancing the Fluentd daemonset for Kubernetes, particularly in relation to Elasticsearch integration. Their contributions include updating Fluentd configuration files to improve performance and stability, introducing new environment variables to manage Elasticsearch connections and reloading behavior, and upgrading various Fluentd plugins, especially those related to Elasticsearch. They addressed issues related to Elasticsearch compatibility and deprecated configurations, ensuring optimal logging functionality within the Kubernetes environment.
hands-ondaemonsetdocker-imagefluentddocker
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.