Title
AWS re:Invent 2023 - Accelerate secure and reliable AWS deployments with Dynatrace (ENT230)
Summary
- Matt Gibiitz, Senior Solutions Engineer, and Susan St. Clair, Principal Solutions Architect at Dynatrace, presented on accelerating secure and reliable AWS deployments using Dynatrace.
- They emphasized the importance of observability in automation and acceleration of AWS environments.
- Dynatrace's capabilities in observability, security, and automation were highlighted, including real-time architecture diagrams, end-to-end traceability, and AI-driven analysis.
- The presentation covered the use of Dynatrace for identifying vulnerabilities, automating responses to issues, and integrating with CI/CD pipelines for quality assurance.
- They introduced the Site Reliability Guardian application for defining KPIs and automating deployment decisions based on those KPIs.
- The concept of A-B testing in production was discussed as a means to incrementally test and release features.
- The session concluded with a live demo of Dynatrace's capabilities and a Q&A session.
Insights
- Dynatrace's partnership with AWS is strong, as evidenced by their new security competency and their role as a go-to-market partner for AWS services.
- The observability platform provided by Dynatrace is crucial for understanding complex, dynamic AWS environments, which is a prerequisite for effective automation.
- Dynatrace's AI engine, which has been at the core of their platform since 2014, is a key differentiator in analyzing environmental behavior and aiding in decision-making for automation.
- The Site Reliability Guardian application from Dynatrace allows for the establishment of KPIs that can be used to automate decisions in the CI/CD pipeline, ensuring that only quality code is promoted to production.
- The concept of testing in production through A-B testing is becoming more accepted as it allows for real-world testing at scale, which can be more effective than testing in lower environments.
- The presentation suggests a growing trend towards automation in the industry, with organizations investing significantly to improve their automation capabilities, although there is still a need for manual oversight and intervention in certain areas.