Motivation

Latency issues in Redis can lead to degraded system performance, longer response times, and potentially lost or delayed data. By testing your system's resilience to Redis latency, you can ensure that it can handle increased processing time and maintain its throughput during increased latency. Additionally, you can identify any potential bottlenecks or inefficiencies in your system and take appropriate measures to optimize its performance and reliability.

Structure

We will verify that a load-balanced user-facing endpoint fully works while having all pods ready. As soon as we simulate Redis latency, we expect the system to maintain its throughput and indicate unavailability appropriately. We can introduce delays in Redis operations to simulate latency. The experiment aims to ensure that your system can handle increased processing time and maintain its throughput during increased latency. The performance should return to normal after the latency has ended.

Motivation

Redis downtime can lead to degraded system performance, lost data, and potentially long system recovery times. By testing your system's resilience to Redis downtime, you can ensure that it can handle the outage gracefully and continue to deliver its intended functionality. Additionally, you can identify any potential weaknesses in your system and take appropriate measures to improve its performance and resilience.

Structure

We will verify that a load-balanced user-facing endpoint fully works while having all pods ready. As soon as we simulate Redis downtime, we expect the system to indicate unavailability appropriately and maintain its throughput. We can block the traffic to the Redis instance to simulate downtime. The experiment aims to ensure that your system can gracefully handle the outage and continue delivering its intended functionality. The performance should return to normal after the Redis instance is available again.

Motivation

Kubernetes features a readiness probe to determine whether your pod is ready to accept traffic. If it isn't becoming ready, Kubernetes tries to solve it by restarting the underlying container and hoping to achieve its readiness eventually. If this isn't working, Kubernetes will eventually back off to restart the container, and the Kubernetes resource remains non-functional.

Structure

First, check that the Datadog monitor responsible for tracking non-ready containers is in an 'okay' state. As soon as one of the containers is crash looping, caused by the crash loop attack, the Datadog monitor should alert and escalate it to your on-call team.

Solution Sketch

• Kubernetes liveness, readiness, and startup probes

Motivation

Depending on your context, an unavailable Microsoft SQL Server database may be considered so severe that there are no suitable fallbacks. In this case, ensuring that your system indicates an appropriate error message is essential. After the Microsoft SQL Server database returns, your system should recover automatically.

Structure

We ensure that a load-balanced user-facing endpoint fully works while having all pods ready. When we simulate an unavailable Microsoft SQL Server database, we expect the user-facing endpoint to indicate unavailability by responding with a "Service unavailable" status. To simulate the unavailability, we can block the Microsoft SQL Server database client connection on its hostname so that no incoming or outgoing traffic goes through. The endpoint should recover automatically once the Microsoft SQL Server database is reachable again.