AWS re:Invent 2025 - How High-Performing Teams Connect Observability to Business Growth (COP206)

Connecting Observability to Business Growth: Unlocking the Value of Technical Data

Observability Challenges and Misconceptions

• Many organizations view observability as expensive, with unclear value
• There is a common misconception that technology and business are siloed, with limited information flow between them
• Technical events and insights often get "stuck" within the engineering teams, without reaching the broader business

Bridging the Gap: Transforming Technical Data into Business Insights

• By applying transformations and enrichments to even simple log data, it's possible to generate insights that can be communicated across the entire organization
• The key is to:
  1. Extract essential values and index the most relevant fields
  2. Enrich the data with additional context and metadata
  3. Convert the data into a format that is meaningful and actionable for business stakeholders

The Observability Maturity Model

1. Telemetry Coverage: Ensuring full-stack observability with logs, metrics, traces, profiles, and events, without major data gaps
2. Engineering Intelligence: Coalescing telemetry around databases, infrastructure, and services to define SLOs and consistent measurements
3. Production Intelligence: Connecting engineering insights to business impact, such as customer experience, SLA breaches, and revenue implications
4. Business Insights: Proactively mining observability data to uncover opportunities for improvement and growth, beyond just incident response

Technical Enablers and Best Practices

• Leveraging a flexible, rich query language (e.g., Coral Logix's "Data Prime") to analyze and enrich observability data
• Storing observability data in cloud object storage (e.g., S3) to enable efficient querying and analysis
• Organizing data into "data sets" to provide structure and context for AI-powered observability tools
• Emphasizing education, engagement, and partnership with customers to help them maximize the value of observability

Real-World Examples and Impact

• Trade Web reduced audit process time from weeks to seconds by querying observability data directly from cloud storage
• Softbet saw 90% of the company using Coral Logix dashboards, enabling shared insights across the organization
• Calora optimized their observability infrastructure by 25% through Coral Logix's guidance on OpenTelemetry configuration

Key Takeaways

• Observability is a strategic enabler for business growth, not just a technical tool for incident response
• Transforming raw observability data into actionable business insights requires a structured approach and the right technical capabilities
• Coral Logix's observability maturity model provides a roadmap for organizations to maximize the value of their observability investments
• Effective observability goes beyond just implementing the technology - it requires education, engagement, and a partnership approach with customers