justtrackio/gosoline
Dec 2024 – Oct 2025
7 Months active
Languages Used
GoMarkdownYAML
Technical Skills
API IntegrationBackend DevelopmentConcurrency ControlDistributed SystemsAWSAutoscaling
Erdal Acar
PROFILE
Erdal Acar
Erdal contributed to the justtrackio/gosoline repository by engineering robust backend features and reliability improvements for distributed event-driven systems. Over seven months, Erdal delivered distributed locking for currency updates using DynamoDB, implemented shard-based autoscaling for Kinsumer on AWS ECS, and enhanced Kafka integration by migrating to franz-go, adding schema registry and Avro support, and refining error handling. Working primarily in Go, with supporting use of YAML and Markdown, Erdal focused on concurrency control, system design, and integration challenges. The work addressed data consistency, operational scalability, and observability, resulting in more reliable streaming pipelines and maintainable, scalable cloud-native services.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
6
Lines of code
20,294
Activity Months7
Your Network
15 peopleSame Organization
@justtrack.io6
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly delivery for justtrackio/gosoline focused on delivering robust Kafka streaming integration and testing for subscriber applications. Replaced github.com/segmentio/kafka-go with github.com/twmb/franz-go across the stream and mdlsub packages, enabling Kafka as an input for subscriber apps and enabling the producer daemon with batching. Added optional Kafka schema registry support with Avro encoding for topic read/write. Extended compression support to include snappy, lz4, and zstd in addition to existing gzip, with compression handled by the Kafka library. Result: end-to-end Kafka streaming path across core components, improved real-time ingestion capabilities, and a foundation for reliable, scalable streaming workloads. No major bug fixes logged this period; all work centers on feature delivery, integration, and testing. Technologies demonstrated: Go, franz-go, Avro, schema registry, Kafka streaming, producer/consumer integration, testing.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly delivery for justtrackio/gosoline focused on delivering robust Kafka streaming integration and testing for subscriber applications. Replaced github.com/segmentio/kafka-go with github.com/twmb/franz-go across the stream and mdlsub packages, enabling Kafka as an input for subscriber apps and enabling the producer daemon with batching. Added optional Kafka schema registry support with Avro encoding for topic read/write. Extended compression support to include snappy, lz4, and zstd in addition to existing gzip, with compression handled by the Kafka library. Result: end-to-end Kafka streaming path across core components, improved real-time ingestion capabilities, and a foundation for reliable, scalable streaming workloads. No major bug fixes logged this period; all work centers on feature delivery, integration, and testing. Technologies demonstrated: Go, franz-go, Avro, schema registry, Kafka streaming, producer/consumer integration, testing.
October 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for justtrackio/gosoline: Delivered Kafka consumer reliability and error handling enhancements to strengthen event-driven processing. Implemented robust EOF handling, refined logging of non-critical errors, and prevented blocking by filtering aborted transactional and uncommitted control messages. These changes align with our reliability and observability goals and contributed to higher uptime and more predictable downstream processing.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for justtrackio/gosoline: Delivered Kafka consumer reliability and error handling enhancements to strengthen event-driven processing. Implemented robust EOF handling, refined logging of non-critical errors, and prevented blocking by filtering aborted transactional and uncommitted control messages. These changes align with our reliability and observability goals and contributed to higher uptime and more predictable downstream processing.
June 2025
1 Commits
Jun 1, 2025June 2025: In justtrackio/gosoline, delivered a critical bug fix targeting the Kafka consumer shutdown path to improve stability in streaming workloads. The change prevents an endless loop when shutting down on an empty batch by ensuring proper channel closure and context handling, resulting in a more robust and predictable shutdown. This reduces risk of downtime during deployments and enhances overall reliability of the Kafka consumer. Commit reference: 99d7d7b3dc1e519bc88468e0c74887ce1674475c.
1 Commits
Jun 1, 2025June 2025: In justtrackio/gosoline, delivered a critical bug fix targeting the Kafka consumer shutdown path to improve stability in streaming workloads. The change prevents an endless loop when shutting down on an empty batch by ensuring proper channel closure and context handling, resulting in a more robust and predictable shutdown. This reduces risk of downtime during deployments and enhances overall reliability of the Kafka consumer. Commit reference: 99d7d7b3dc1e519bc88468e0c74887ce1674475c.
June 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: In gosoline (justtrackio/gosoline), delivered targeted Kafka error logging improvements that reduce noise and improve log clarity. Non-critical errors are now logged as info (e.g., Not Leader For Partition), with updated code paths and tests to reflect the new behavior. A bug fix to the Kafka error logger was implemented and validated with follow-up tests to prevent regressions. Overall, these changes improve observability, accelerate issue triage, and lower operational costs by focusing alerts on actionable signals.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: In gosoline (justtrackio/gosoline), delivered targeted Kafka error logging improvements that reduce noise and improve log clarity. Non-critical errors are now logged as info (e.g., Not Leader For Partition), with updated code paths and tests to reflect the new behavior. A bug fix to the Kafka error logger was implemented and validated with follow-up tests to prevent regressions. Overall, these changes improve observability, accelerate issue triage, and lower operational costs by focusing alerts on actionable signals.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — justtrackio/gosoline: Delivered a Kafka client feature enabling granular TLS/auth configuration and consumer starting offset for flexible, secure message processing. No major bugs fixed. Overall impact: improved reliability, security, and deployment flexibility for Kafka-based pipelines. Technologies/skills demonstrated: Go, Kafka client customization, TLS/SSL, authentication handling, and offset management.
1 Commits • 1 Features
Feb 1, 2025February 2025 — justtrackio/gosoline: Delivered a Kafka client feature enabling granular TLS/auth configuration and consumer starting offset for flexible, secure message processing. No major bugs fixed. Overall impact: improved reliability, security, and deployment flexibility for Kafka-based pipelines. Technologies/skills demonstrated: Go, Kafka client customization, TLS/SSL, authentication handling, and offset management.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 20252025-01 Monthly Summary: Key feature delivered is the Automatic scaling module for Kinsumer on AWS ECS. The module automatically scales kinsumer instances based on Kinesis shard counts, integrates with AWS ECS for orchestration, uses leader election to ensure a single active scaler, and periodically checks shard counts to adjust ECS desired task count. These improvements reduce manual scaling, increase throughput during spikes, and optimize resource usage.
January 2025
1 Commits • 1 Features
Jan 1, 20252025-01 Monthly Summary: Key feature delivered is the Automatic scaling module for Kinsumer on AWS ECS. The module automatically scales kinsumer instances based on Kinesis shard counts, integrates with AWS ECS for orchestration, uses leader election to ensure a single active scaler, and periodically checks shard counts to adjust ECS desired task count. These improvements reduce manual scaling, increase throughput during spikes, and optimize resource usage.
December 2024
1 Commits • 1 Features
Dec 1, 2024Monthly Summary for 2024-12 focusing on the gosoline repository. The development work centered on hardening the currency update path by introducing distributed locking to prevent race conditions and improve data integrity during exchange rate updates. A DynamoDB-based lock provider was integrated into the currency module, and the update logic was adjusted to acquire and release locks for both recent and historical exchange rate operations. This work enhances reliability, consistency, and throughput for currency rate processing across distributed services.
1 Commits • 1 Features
Dec 1, 2024Monthly Summary for 2024-12 focusing on the gosoline repository. The development work centered on hardening the currency update path by introducing distributed locking to prevent race conditions and improve data integrity during exchange rate updates. A DynamoDB-based lock provider was integrated into the currency module, and the update logic was adjusted to acquire and release locks for both recent and historical exchange rate operations. This work enhances reliability, consistency, and throughput for currency rate processing across distributed services.
December 2024
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Quality Metrics
Correctness82.8%
Maintainability81.0%
Architecture80.0%
Performance76.4%
AI Usage21.8%
Skills & Technologies
Programming Languages
GoMarkdownYAML
Technical Skills
API IntegrationAWSAutoscalingAvroBackend DevelopmentCloud ComputingConcurrencyConcurrency ControlConfiguration ManagementDistributed SystemsECSError HandlingFranz-GoGoGo Development
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