Scalability

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Chaos Engineering for Cloud native Apps

Chaos Engineering for Cloud native Apps

Improve application resilience with chaos testing by deliberately introducing faults that simulate real-world outages. Azure Chaos Studio Preview / AWS Fault Injection Simulator is a fully managed chaos engineering experimentation platform for accelerating discovery of hard-to-find problems, from late-stage development through production. Disrupt your apps intentionally to identify gaps and plan mitigations before your customers are impacted by a problem.

Architecture Automation Chaos Engineering Chaos Testing Cloud Cloud Native DevOps DevSecOps Microservices Performance Testing Resilience Scalability Testing
21 - The Queue Based Load Levelling and Competing Consumers Pattern

21 - The Queue Based Load Levelling and Competing Consumers Pattern

Do you have an application with some specific requirements around scalability, and continuity of service? What happens if your service is hit by heavy load? Could performance/reliability issues cause an impact to your solution? This is where both the queue-based load levelling and competing consumers patterns shine. Tune in and listen to Chris speak with Will Eastbury as they discuss both of these patterns. This is another episode in the series of Architecting for the Cloud, one pattern at a time.

APIs Architecture Azure Architecture Center Cloud Design Patterns Integration Messaging Requirements Scalability
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