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1
Intro
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Welcome
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About us
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What are we
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How we got started
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Messaging
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Message flow
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What was the problem
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The problem
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The new standard
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How the traffic works
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Creating a validator
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The results
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Certification track
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Increased traffic
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Everything grew
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Architecture
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Data normalization
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Fixing the problem
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Automation
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Database
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Distributed systems
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Apache Kafka
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Data flow
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Testing in production
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Testing in API world
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Replaying input
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Mirror testing
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Conclusion
30
Questions
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a conference talk on ensuring critical systems in the health sector remain stable during changes. Learn about deploying updates using Kubernetes, processing unstructured data, and leveraging Kafka for real-time assessment. Discover how to implement a system that catches subtle deviations in organic data without requiring rollbacks. Gain insights into messaging, traffic management, data normalization, automation, distributed systems, and testing in production environments. Understand the challenges of handling increased traffic and growing systems in mission-critical healthcare applications.

How Our Critical Systems Fail, and What We Do About It

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