Scenario Library

Simulate primary database failure and observe automatic failover to replica

See how a Redis cache and SQS message queue reduce database load and smooth out traffic spikes in a microservices architecture

Simulate an event burst that overwhelms a GCP Pub/Sub subscription: the unacknowledged message backlog surges, subscriber VMs can't keep pace, and message delivery latency climbs well past acknowledgement deadlines triggering redelivery storms. Explore how adding more GCE subscriber instances and tuning flow-control settings restore normal throughput.

A container-native stack on DigitalOcean: a Load Balancer fronts a DOKS cluster that runs your app pods. A Managed Redis cache absorbs read traffic, and a Managed Kafka queue decouples background jobs from the web tier — all with zero infrastructure to patch.

Learn how autoscaling groups respond to traffic spikes and CPU thresholds

Explore an AKS-hosted microservices app that offloads read traffic to Azure Cache for Redis and fans out async work through Azure Service Bus

Run a containerized app on GKE Autopilot, accelerated by a Memorystore cache and buffered by Cloud Pub/Sub for async processing

Simulate a burst of inbound orders that overwhelms an Azure Service Bus queue: the active message count surges past the queue's throughput unit capacity, consumer VMs fall behind, and end-to-end processing latency explodes as messages approach their lock expiry and are abandoned back to the queue. Explore how scaling out consumer instances, enabling auto-forwarding to a dead-letter queue, and upgrading to a Premium namespace restore normal throughput.

Experience a hybrid architecture spanning AWS and OCI with cross-cloud connectivity

CloudFront sits in front of your application and caches static content at edge locations worldwide. Only cache misses and dynamic API requests reach the Application Load Balancer, reducing backend load by 60–80% during traffic spikes. EC2 handles the dynamic compute tier while RDS stores persistent data.

Deploy a simple web application on Oracle Cloud Infrastructure with load balancing

A fully serverless API on AWS: an Application Load Balancer triggers Lambda functions on every request — no servers to manage and you only pay per invocation. DynamoDB handles storage at any scale. Watch for cold-start latency spikes when Lambda containers are not yet warm after a period of low traffic.

A simple, budget-friendly web app on DigitalOcean: a Load Balancer routes visitors to a single Droplet, which stores data in a Managed PostgreSQL database. A great starting point for developers new to cloud infrastructure who want predictable, low monthly bills.

Observe what happens when ElastiCache for Redis crashes mid-traffic: the cache eviction storm forces every request through to the database, connection pools saturate, and latency spikes until the cache warms back up. Explore resilience patterns like circuit breakers and staggered cache warm-up.

Simulate a burst of inbound events that overwhelms the worker fleet: the SQS queue depth climbs into the thousands, workers fall behind, and end-to-end processing latency skyrockets. Watch how adding consumers and applying dead-letter queues restore stability.