Fidelity Elevates Developer Operations with Ml Powered Insights Aim205

Title

AWS re:Invent 2022 - Fidelity elevates developer operations with ML-powered insights (AIM205)

Summary

  • Vijay Ranganathan, VP of SRE at Fidelity Investments, and Ashok, a Principal Product Manager from AWS, discuss how Fidelity uses machine learning data to empower development teams.
  • Fidelity has a long history as a diversified financial company and has migrated 5,700 applications to the cloud over six years.
  • The company has a massive scale with 17,000 developers across the globe, numerous AWS accounts, and a focus on application health.
  • Fidelity's SRE team focuses on metrics, recommendations for AWS services, and building reusable self-automation templates.
  • They have developed an observability maturity model with five levels, focusing on system and platform monitoring, SLIs/SLOs/error budgets, and self-healing and self-optimization.
  • AWS DevOps Guru is used for machine learning-powered insights to resolve issues, with a demo provided by Ashok.
  • Fidelity's approach includes service-type engagements and production engagements to prove the value of AWS DevOps Guru.
  • They focus on issues and recommendations, such as AWS limits, auto-scaling, and best practice patterns.
  • Integrations with ServiceNow and automation platforms have been established for incident management and auto-healing.
  • Fidelity aims for self-healing, automation, and consistent fixes across business units using AWS services and insights.

Insights

  • Fidelity's journey to the cloud is extensive and involves a significant number of applications and developers, indicating a large-scale transformation.
  • The observability maturity model suggests a structured approach to monitoring and improving application health, which is critical for a financial institution like Fidelity.
  • AWS DevOps Guru's machine learning capabilities are leveraged to proactively and reactively identify and resolve issues, which is a testament to the growing importance of AI in operations.
  • The focus on self-healing and automation reflects a modern DevOps culture aimed at reducing manual intervention and improving efficiency.
  • Fidelity's integration of AWS insights with existing tools like ServiceNow shows a commitment to seamless operations and incident management.
  • The presentation highlights the collaborative effort between AWS and Fidelity, showcasing a partnership that could serve as a model for other enterprises looking to leverage cloud services for operational excellence.