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
Syed Hashim developed a new AWS Data Firehose HTTP Input Plugin for the influxdata/telegraf repository, enabling Telegraf to ingest metrics via HTTP from AWS Data Firehose. He implemented support for multiple data formats and authentication methods, allowing flexible integration with diverse AWS pipelines. The plugin features optional tagging based on common attributes, robust error handling, and comprehensive automated tests to ensure production reliability. Working primarily in Go and JSON, Syed applied skills in backend development, network programming, and data serialization. His work addressed the need for reliable, extensible data ingestion, improving the efficiency and observability of Firehose-based workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
923
Activity Months1
Your Network
59 people
Work 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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