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Kubernetes

Standardizing Resiliency on Kubernetes

Standardizing Resiliency on Kubernetes

01.09.2024
Kubernetes resiliency

Kubernetes resilience goes beyond technology—it's about ensuring your services can handle anything without missing a beat. Learn how to safeguard your deployments and minimize downtime.
Enhance Kubernetes Reliability with ¾¨Ó㴫ý's Latest Features

Enhance Kubernetes Reliability with ¾¨Ó㴫ý's Latest Features

15.12.2023
Kubernetes

Reliability is the cornerstone of user satisfaction in today's world. At ¾¨Ó㴫ý, we understand the critical nature of this reliability, especially in Kubernetes clusters widely adopted across organizations. We're excited to announce our latest suite of enhancements, designed to empower users to detect and remediate potential risks in their Kubernetes environments proactively.
Validate your Kubernetes Resource Limits with Chaos Engineering

Validate your Kubernetes Resource Limits with Chaos Engineering

08.02.2022
Kubernetes

Validating resource limits in Kubernetes is crucial to ensuring that your applications behave as expected under load and do not impact other pods on the same node. ¾¨Ó㴫ý provides the ability to simulate increased resource usage, allowing teams to verify and fine-tune these limits for improved resilience and stability.
How to validate your Kubernetes Liveness Probes with Chaos Engineering

How to validate your Kubernetes Liveness Probes with Chaos Engineering

24.12.2021
Kubernetes

Liveness probes are vital for ensuring that applications recover automatically when they enter an unhealthy state. This post explains how to set up liveness probes in Kubernetes and use ¾¨Ó㴫ý to verify their effectiveness through controlled experiments that simulate delays and observe pod restarts, confirming the reliability of these probes.
Top 3 Kubernetes Weak Spots affecting your Availability

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.
Verify Your Startup Times To Avoid Surprises

Verify Your Startup Times To Avoid Surprises

16.12.2021
Kubernetes

Fast application startup times are crucial for maintaining a low mean time to recovery (MTTR) and supporting continuous deployment without fixed maintenance windows. This post explains how to validate startup performance through automated chaos experiments that ensure new instances become ready within a set timeframe, enhancing reliability and operational predictability.