AWS re:Invent 2025 - [NEW LAUNCH] What’s new with Amazon CloudWatch (COP363)

AWS re:Invent 2025 - What's New with Amazon CloudWatch

Unified Data Foundation

• AWS CloudWatch is evolving into a unified data store for observability, security, and audit data
• Key features:
  • Easy data collection from AWS services and third-party sources using CloudWatch Pipelines
  • Centralized data curation with transformations and schema mapping
  • Flexible data storage in open Apache Iceberg format
  • Seamless integration with S3 tables for analysis with a variety of tools

Powerful Insights

• New CloudWatch features for deeper application observability:
  • Application Map for visualizing application topology and dependencies
  • Automatic application discovery, including for uninstrumented apps
  • Real User Monitoring for web and mobile with lifecycle and performance metrics
  • Log Facets for intuitive log querying without prior knowledge

AI-Powered Operations

• CloudWatch Investigations: AI-powered troubleshooting assistant that automatically correlates telemetry, identifies root causes, and suggests remediation
• Incident Report Generation: Automated post-incident analysis and learning using the "5 Whys" framework
• CloudWatch Model Context Protocol (MCP): Enables custom AI agents to leverage CloudWatch data and tools

Generative AI Observability

• Monitoring and evaluating generative AI workloads:
  • CloudWatch Generative AI Observability suite with out-of-the-box dashboards and tracing
  • 13 pre-built evaluators to measure accuracy, faithfulness, coherence, and other quality metrics
  • Ability to create custom evaluation models using large language models

Key Takeaways

1. CloudWatch is evolving into a unified observability platform, consolidating security, audit, and operational data.
2. New features like Application Map, Log Facets, and AI-powered troubleshooting accelerate data-driven decision making.
3. CloudWatch provides comprehensive observability for both traditional and generative AI-powered applications.
4. All new capabilities are available at no additional cost, helping customers reduce operational expenses.
5. Seamless integration with S3 and third-party tools enables flexible data analysis and sharing across the organization.

Business Impact

• Consolidates disparate data sources into a single pane of glass, reducing complexity and costs
• Automates tedious troubleshooting tasks, allowing teams to focus on higher-value work
• Enables proactive monitoring and improvement of mission-critical AI-powered applications
• Facilitates organizational learning and process improvements through automated incident reporting
• Provides a future-proof observability platform as customers adopt more advanced technologies like generative AI

Examples

• A financial services company used CloudWatch Pipelines to centralize security, observability, and audit data, enabling their security and DevOps teams to collaborate more effectively.
• A SaaS provider leveraged CloudWatch Investigations to reduce their mean time to resolution (MTTR) by 40% for infrastructure-related incidents.
• An e-commerce retailer implemented CloudWatch Generative AI Observability to continuously monitor the accuracy and safety of their AI-powered product recommendation engine.