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Observability & Datadog
Architecture, implementation, monitoring strategy, account health, alert quality, governance, and cost optimization grounded in deep Datadog experience.
Independent engineering consultancy
Good Engineering Co. helps organizations improve observability, strengthen platforms, adopt useful AI-enabled workflows, automate operational work, and build dependable websites and custom software.
Observability Platform Software
Areas of work
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Architecture, implementation, monitoring strategy, account health, alert quality, governance, and cost optimization grounded in deep Datadog experience.
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Practical improvements to infrastructure, developer workflows, operational systems, and the foundations teams rely on.
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Identify useful workflows, choose appropriate AI products, integrate them with existing systems, and design human review into the process.
Read Roman’s practical AI guide04
Purpose-built applications and websites for businesses and organizations, with clear scope and maintainable technology.
A focused starting point
A bounded two-week review for teams that want clearer priorities for Datadog cost, coverage, alerting, architecture, or governance.
Direct senior engineering
Good Engineering Co. is the independent practice of Roman Sheydvasser, a principal engineer with experience across observability, systems, platforms, and software.
Roman spent nearly six years at Datadog and later worked directly with clients on observability architecture, implementation, monitoring strategy, incident-response practices, and technical advising.
His current work also includes hands-on use of AI agents and practical AI automation, with an emphasis on choosing the right tools and keeping human judgment in the loop.
Working principles
Selected engineering work
Open source
Two-way synchronization between Google Docs and Markdown, designed to make documents useful in both human and developer workflows.
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