AI has to be auditable to be reliable
In this clip from an AI roundtable with Gremlin, Nobl9, and PagerDuty, Mandi Walls talks about how companies will want to audit AI to keep it reliable.
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AI reliability needs system reliability
AI operates on the same systems and infrastructure as every application, which means if you want to keep it reliable, you have to keep the systems underneath it reliable. Gremlin CEO Kolton Andrus explains more in this clip from an AI reliability roundtable with @nobl9inc and @Pagerduty.
Reliability Resolutions: How to build effective reliability programs that won't fade away
Did you know the third week of January is the most common time for people to fail New Year’s Resolutions? It doesn’t matter whether it’s exercising more, learning a new language, or just trying to drink less coffee, that initial surge of fresh New Year’s energy is fading, and if you want to make a resolution stick, this is the key time to make a lasting change. The same is true with any reliability resolutions you might have made.
AI reliability requires different SLOs
In this webinar clip, Alex Nauda, CTO of Nobl9, explains how keeping AI reliable means changing how you look at SLOs.
We test our own critical dependencies
Even if you know a dependency is critical, you still should test it. Otherwise, who knows what will happen if it goes down?
Recommended Experiments for Production Resilience in Harness Chaos Engineering | Harness Blog
This guide covers battle-tested chaos experiments for Kubernetes, AWS, Azure, and GCP to help you validate production resilience before real failures happen. Start with low blast radius experiments (pod-level) and gradually progress to higher impact scenarios (node/zone failures), always defining clear hypotheses and using probes to measure results. Building reliable distributed systems isn't just about writing good code. It's about understanding how your systems behave when things go wrong.
AI reliability changes how you watch your systems
In this clip from an AI roundtable with Gremlin, Nobl9, and PagerDuty, Mandi Walls talks about how AI shifts how you watch your systems to keep them reliable.
Chaos Engineering strengthens your team
Reliability testing not only strengthens your system, it also strengthens your team.
Chaos Engineering Training: Network Experiments
Learn how to test your application's resilience to network issues with Harness Chaos Engineering. This tutorial covers essential network chaos experiments. Discover how to simulate real-world network conditions to identify weaknesses and validate your system's behavior under degraded connectivity.
Chaos Engineering Training: Zonal, Regional Failures and SSL/TLS Certificates Expiration
Learn how to test your system's resilience against critical infrastructure failures. This tutorial demonstrates how to simulate zonal and regional outages to validate your high availability setup, plus how to test SSL/TLS certificate expiration scenarios. Essential for ensuring your applications can handle real-world failure conditions and maintain uptime during certificate-related issues.