influxdata/telegraf
Jan 2025 – Jan 2025
1 Month active
Languages Used
GoJSONShell
Technical Skills
AWS IntegrationBackend DevelopmentData Serialization/DeserializationHTTP Server ImplementationNetwork ProgrammingPlugin Development
Syed Muhammad Hashim
PROFILE
Syed Muhammad Hashim
Developed a new AWS Data Firehose HTTP Input Plugin for the influxdata/telegraf repository, enabling seamless ingestion of metrics via HTTP from AWS Data Firehose. The plugin was engineered in Go and Shell, supporting multiple data formats and incorporating authentication mechanisms to ensure secure data transfer. Attribute-based tagging was implemented to enhance data organization, while robust error handling and comprehensive automated tests were added to ensure production reliability. This work focused on backend development, network programming, and data serialization/deserialization, ultimately improving the reliability and flexibility of Firehose pipeline integrations and accelerating the time-to-insight for users leveraging Telegraf.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
923
Activity Months1
Your Network
111 peopleWork History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary: Delivered a new AWS Data Firehose HTTP Input Plugin for Telegraf (inputs.firehose) in influxdata/telegraf, enabling ingestion of metrics via HTTP from AWS Data Firehose. The plugin supports multiple data formats, authentication, and optional tagging derived from common attributes, with robust error handling and tests to ensure production reliability. This work improves data ingestion reliability for Firehose pipelines and accelerates time-to-insight for customers.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary: Delivered a new AWS Data Firehose HTTP Input Plugin for Telegraf (inputs.firehose) in influxdata/telegraf, enabling ingestion of metrics via HTTP from AWS Data Firehose. The plugin supports multiple data formats, authentication, and optional tagging derived from common attributes, with robust error handling and tests to ensure production reliability. This work improves data ingestion reliability for Firehose pipelines and accelerates time-to-insight for customers.
January 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoJSONShell
Technical Skills
AWS IntegrationBackend DevelopmentData Serialization/DeserializationHTTP Server ImplementationNetwork ProgrammingPlugin DevelopmentTesting
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