What is the significance of a Single Pod Replica Count?

When defining a ReplicaSet, deployment, or similar configurations, it is crucial to set a Single Pod Replica Count to ensure that your application has the desired level of availability and fault tolerance.

Why are Liveness and Readiness Probes important?

Liveness and readiness probes are essential for the successful operation of your applications in Kubernetes. They help in determining whether your application is running correctly and whether it is ready to handle traffic, which ultimately improves the reliability of your services.

What are Resource Limits and why should they not be missing?

Missing resource limits can lead to inefficient resource allocation and potential performance issues. Setting resource limits helps improve availability by ensuring that your applications do not consume more resources than intended, thus preventing resource starvation for other applications in the environment.

What is required before starting a CPU Experiment?

Before starting a CPU Experiment, you need to have a suitable application that can be tested. This ensures that the experiment yields meaningful results regarding CPU usage and performance.

What does it mean when an experiment yields a failed result?

Running an experiment that results in a failure indicates that there may be underlying issues with either the application configuration or the environment setup. It is essential to analyze these failures to identify and rectify any problems.

What should be concluded from an unsuccessful experiment?

As you can probably imagine right now, an unsuccessful experiment should prompt further investigation into the factors contributing to its failure. This could involve reviewing configurations, checking logs, or adjusting resource allocations to enhance future experiments.

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Chaos Tests

Top 3 Kubernetes Weak Spots affecting your Availability

19.12.2021

Chaos Tests Kubernetes

This post covers the top three weak points in Kubernetes that can impact service availability: single pod replica counts, missing liveness and readiness probes, and missing resource limits. By using Chaos Engineering, you can simulate turbulent conditions to ensure your cluster can handle real-world failures effectively.