AWS re:Invent 2025 - Unifying AWS observability, logs, and traces with Dynatrace (AIM210)

Unifying AWS Observability, Logs, and Traces with Dynatrace

Dynatrace's Observability Platform

• Dynatrace is a leading observability and security platform with AI at its core
• Provides deep insights and context across all data signals - logs, metrics, traces, user data, AI agents, etc.
• Ranked #1 in 4 out of 6 critical capabilities in the Gartner Magic Quadrant for APM and observability
• Used by customers across every industry and continent

Dynatrace's Partnership with AWS

• 10+ year partnership, with Dynatrace being an AWS Observability Specialist partner
• Dynatrace has achieved numerous AWS competencies and partner designations
• Tight integration and co-innovation with AWS, including being a launch partner and beta customer for new services
• Dynatrace enables customers to maximize value from AWS through improved resilience, optimization, and cost savings

Storyo Group's Observability Journey

Culture Change as the Foundation

• Storyo Group, a major photo gifting company, had to consolidate 5 technology platforms post-merger
• Realized their observability approach was too log-centric, leading to increasing MTTR and decreasing visibility
• Took a "12-step program" to change the engineering culture around observability
• Built a maturity model and framework to guide the cultural transformation

Unifying Logs and Signals

• Leveraged AWS services like FireLens and Kinesis to centralize logs from containers, Lambda, and EC2 into Dynatrace
• Moved beyond just logs, using Dynatrace to bring in the right mix of metrics, traces, and other signals
• Automated the process of identifying the right signal types for different parts of the system

AI-Driven Observability

• Utilized Dynatrace's AI capabilities (Davis AI) for predictive and causal analysis
• Automated baselining, anomaly detection, and root cause analysis, reducing manual effort
• Prevented major incidents by proactively detecting issues before impact

Business Impact

• Avoided over €4.5M in potential outage costs during peak season by leveraging Dynatrace's AI
• Reduced MTTR and improved overall reliability and uptime
• Gained visibility into end-to-end business flows and the ability to quantify the business impact of incidents

Modern Log Management with Dynatrace

• Traditional log management tools are not keeping up with the scale and complexity of modern cloud-native environments
• Challenges include inflated costs, technical debt, manual correlation, and high complexity
• Dynatrace's approach unifies logs with other observability data, enabling:
  • Cost-effective log ingestion and storage at scale
  • Automated correlation and root cause analysis
  • AI-driven insights and automation for proactive operations

Key Takeaways

1. Culture change is essential - leading with the right mindset and buy-in is crucial for successful observability transformation.
2. Embrace a diverse set of signals - logs alone are not enough, a unified view of metrics, traces, and other data is required.
3. Leverage AI and automation - manual analysis and alert management is no longer feasible at scale, AI-driven insights and automation are essential.
4. Focus on business impact - observability should provide visibility into end-to-end business flows and the ability to quantify the financial impact of incidents.
5. Dynatrace's partnership with AWS enables customers to maximize the value of their cloud investments through improved observability, reliability, and cost optimization.