zanfranceschi/rinha-de-backend-2025
Aug 2025 – Aug 2025
1 Month active
Languages Used
GoShellYAML
Technical Skills
ContainerizationDevOpsDockerDocker ComposeGoHAProxy
Josiney
PROFILE
Josiney
Josiney Junior contributed to the zanfranceschi/rinha-de-backend-2025 repository by deploying the new Josineyjr-go-5 service, leveraging Docker Compose and HAProxy to orchestrate a scalable microservices backend. He configured a load balancer with two API instances and a worker, improving deployment resiliency and scalability. Using Go and YAML, Josiney also stabilized the test environment by cleaning up logs and artifacts and refining image tagging, which reduced deployment noise and mitigated Docker rate-limit issues. His work enhanced CI/CD reliability, enabling faster iteration cycles and more predictable deployments, demonstrating a solid grasp of containerization, DevOps practices, and system design principles.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
1
Lines of code
17,320
Activity Months1
Your Network
207 peopleShared Repositories
207
Work History
August 2025
6 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for zanfranceschi/rinha-de-backend-2025: Delivered a new Josineyjr-go-5 service deployment using Docker Compose and HAProxy to enhance deployment scalability and resiliency of the backend microservices. Stabilized test environments by cleaning up logs/artifacts and updating image tags to ensure reliable retests, reducing deployment noise and rate-limit risks. These efforts improved CI/CD efficiency and provided a more predictable deployment surface for downstream teams.
6 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for zanfranceschi/rinha-de-backend-2025: Delivered a new Josineyjr-go-5 service deployment using Docker Compose and HAProxy to enhance deployment scalability and resiliency of the backend microservices. Stabilized test environments by cleaning up logs/artifacts and updating image tags to ensure reliable retests, reducing deployment noise and rate-limit risks. These efforts improved CI/CD efficiency and provided a more predictable deployment surface for downstream teams.
August 2025
Activity
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Quality Metrics
Correctness70.0%
Maintainability73.4%
Architecture73.4%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoShellYAML
Technical Skills
ContainerizationDevOpsDockerDocker ComposeGoHAProxyLoad BalancingNGINXRedisSystem Designdockerdocker-composefasthttptesting
Repositories Contributed To
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