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Monitoring with container insights & anomaly detection - SVC308 - New York AWS Summit

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Monitoring with container insights & anomaly detection - SVC308 - New York AWS Summit

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Applications today are becoming more difficult to monitor. With the adoption of microservice architectures, customers are facing an explosion of components that generate more data from more devices, are updated more frequently, and exist for shorter periods of time. In this session, learn how AWS is enabling your journey from monitoring to observability so that you can ensure that you have full stack visibility. We do a deep dive into new features like Amazon CloudWatch container insights and Amazon CloudWatch anomaly detection that help improve the health and performance of your applications.

Applications today are becoming more difficult to monitor. With the adoption of microservice architectures, customers are facing an explosion of components that generate more data from more devices, are updated more frequently, and exist for shorter periods of time. In this session, learn how AWS is enabling your journey from monitoring to observability so that you can ensure that you have full stack visibility. We do a deep dive into new features like Amazon CloudWatch container insights and Amazon CloudWatch anomaly detection that help improve the health and performance of your applications.

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Monitoring with container insights & anomaly detection - SVC308 - New York AWS Summit

  1. 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Monitoring with container insights & anomaly detection Greg Eppel Global Solutions Architect CloudWatch & X-Ray AWS S V C 3 0 8
  2. 2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Topics Monitoring Observability Container insights Anomaly detection Demo
  3. 3. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  4. 4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Reactive monitoring Blissful ignorance Confusion Stress False hope Desperation Enlightenment
  5. 5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Monitoring must evolve Monolithic to microservice Short-lived resources ^Devices ^Data Faster release velocity
  6. 6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Metrics What: Numeric representation of data measured over intervals of time Why: Useful for identifying trends, mathematical modeling, and prediction
  7. 7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Logs What: Immutable, timestamped record of discrete events that happened over time Why: Useful for uncovering emergent and unpredictable behavior
  8. 8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Traces What: Representation of a series of related distributed events that encode the end-to-end request flow through a distributed system Why: Provides visibility into both the path traversed by a request as well as the structure of a request
  9. 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Observability This is the goal
  10. 10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Observability is the goal These are the tools
  11. 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon CloudWatch Container Insights (Preview) Enables you to monitor, isolate, and diagnose your containerized applications and microservices environments 1. Fully managed automated summary/analysis of compute capacity 2. Ad hoc analytics capability 3. Application tracing observability
  12. 12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon CloudWatch Anomaly Detection (Preview) Enables developers, operators and systems engineers to automate, accelerate, and improve the detection and alerting of abnormal system and application behavior. 1. Self-learning metric behavior 2. Aware of seasonality 3. Dynamic alarming
  13. 13. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  14. 14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Container Insights: Takeaways 1. Fully managed automated summary/analysis of compute capacity 2. Ad hoc analytics capability 3. Application tracing observability
  15. 15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Anomaly detection: Takeaways 1. Self-learning metric behavior 2. Aware of seasonality 3. Dynamic alarming
  16. 16. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. http://aws.amazon.com/cloudwatch/getting-started
  17. 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Thank you! S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Greg Eppel geppel@amazon.com

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