
Worked on the Artyom-Kitov/paketnik repository to enhance backend stability and scalability over a two-month period. Focused on enabling ARM build compatibility by switching the Docker base image to alpine:edge and streamlining JDK installation, which improved cross-architecture CI reliability. Delivered features such as persistent MongoDB storage in Docker Compose for data durability and increased file upload size to support larger datasets. Addressed bugs in packet processing and export flows by refactoring Java services and improving error handling. Utilized Docker, Kotlin, and YAML to manage configuration, database persistence, and deployment workflows, resulting in a more robust and maintainable backend system.
December 2024 monthly summary for Artyom-Kitov/paketnik. Focused on delivering business value through data durability, scalable file handling, and robust packet processing/export flows. Key features delivered: - MongoDB data persistence in Docker Compose enabling data durability across restarts; - Increased maximum file upload size for larger file processing. Major bugs fixed: - Pcap Processing and Rule Application bug fixes with refactor to resolve build errors and ensure correct method calls and parameter types; - Robust HTTP export packet handling by fixing an out-of-bounds error in packet retrieval. Overall impact and accomplishments: - Improved stability, data integrity, and reliability of the data layer and export pipeline; - Enabled smoother production deployments and higher throughput for larger datasets; - Cleaned repo hygiene by ignoring mongodbdata directory in .gitignore. Technologies/skills demonstrated: Docker Compose, MongoDB persistence, Java service refactoring, error handling and boundary checks, configuration management for file size, and packet processing/export workflows.
December 2024 monthly summary for Artyom-Kitov/paketnik. Focused on delivering business value through data durability, scalable file handling, and robust packet processing/export flows. Key features delivered: - MongoDB data persistence in Docker Compose enabling data durability across restarts; - Increased maximum file upload size for larger file processing. Major bugs fixed: - Pcap Processing and Rule Application bug fixes with refactor to resolve build errors and ensure correct method calls and parameter types; - Robust HTTP export packet handling by fixing an out-of-bounds error in packet retrieval. Overall impact and accomplishments: - Improved stability, data integrity, and reliability of the data layer and export pipeline; - Enabled smoother production deployments and higher throughput for larger datasets; - Cleaned repo hygiene by ignoring mongodbdata directory in .gitignore. Technologies/skills demonstrated: Docker Compose, MongoDB persistence, Java service refactoring, error handling and boundary checks, configuration management for file size, and packet processing/export workflows.
Monthly summary for 2024-11: Focused on stabilizing and enhancing cross-architecture support for the paketnik project. Implemented backend ARM build compatibility by switching the base image to alpine:edge and installing the JDK via apk add, enabling successful ARM builds and improving overall CI reliability. The changes are captured in commit 78f616813a90e3784bd66e4036778329b03d2281.
Monthly summary for 2024-11: Focused on stabilizing and enhancing cross-architecture support for the paketnik project. Implemented backend ARM build compatibility by switching the base image to alpine:edge and installing the JDK via apk add, enabling successful ARM builds and improving overall CI reliability. The changes are captured in commit 78f616813a90e3784bd66e4036778329b03d2281.

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