Jonathan Mcintyre is a Solutions Architect based in Denver with four years of experience turning high-volume log data into actionable insights for security and ops teams. He builds reliable ingestion pipelines (Fluent Bit, cloud integrations) and optimizes ClickHouse schemas and retention for both cloud and self-managed deployments. At Datadog he mastered log management, cloud forwarders, API debugging across multiple languages, and complex SSO/SAML/OAuth configurations, which he now leverages to advise customers on scalable observability architectures. He also deploys AI-driven investigation tooling (MCP Server, RunReveal AI Chat) so analysts can query terabytes of data in plain language while keeping processing inside customer environments. Known for keeping runbooks and KBs current, Jonathan bridges product feedback to engineering to shape features and reduce mean time to insight. His background in front-end and e-commerce development gives him a pragmatic, user-focused perspective on operational tooling and documentation.
4 years of coding experience
10 years of employment as a software developer
10 Week Front End Web Development Course Front End Web Development, 10 Week Front End Web Development Course Front End Web Development at General Assembly
Associate’s Degree Broadcast Journalism, Associate’s Degree Broadcast Journalism at Georgia State University Perimeter College
Associate’s Degree Broadcast Journalism, Associate’s Degree Broadcast Journalism at University of North Georgia
Community developed integrations and plugins for the Datadog Agent.
Contributions:1 commit, 2 PRs, 1 push in 1 day
datadog
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