AI is changing our reliability response teams
In this clip from an AI roundtable with Gremlin, Nobl9, and PagerDuty, Mandi Walls talks about how AI is bringing AI engineers into incident response teams.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Software failure will occur, but we can be ready
Failures will occur, but reliability testing helps us understand them instead of being surprised. Gremlin founder and CEO Kolton Andrus sat down with Stephen Townshend on the Slight Reliability podcast to talk about how!
Reliability testing creates important conversations
Without reliability tests, you’re left in the dark about how your system will react to failures. It leaves you open to outages and prevents vital conversations that will help improve your reliability.
LLMs need a different approach to reliability
In this webinar clip, Alex Nauda, CTO of Nobl9, explains how LLMs are non-deterministic, which means you need to shift how you monitor the reliability of your AI systems.
Reliability is trust in your systems and your team
Reliable systems mean you can trust your systems, but also your team.
Chaos Engineering: Be thoughtful about failure
Chaos Engineering isn’t about breaking things. It’s about being thoughtful about failure to learn something. Gremlin founder and CEO Kolton Andrus lays it out in this clip from when he sat down with Stephen Townshend on the Slight Reliability podcast!
Systems need to be failure proof
The best advice from Anish Behanan at @Capgemini about reliability? Every system needs to be failure proof.
If you don't test in production, you're missing risks
Testing in production can be scary, but it’s necessary to improve reliability. Check out this clip from when Gremlin Co-founder and CEO Kolton Andrus sat down with Stephen Townshend on the Slight Reliability podcast!
Field of Dreams DevOps doesn't scale
Having trouble scaling reliability? Gremlin CEO Kolton Andrus talks about just building a great tool isn’t enough.
Scale Chaos Engineering with Automation and AI
Chaos Engineering and Fault Injection testing have been proven to prevent outages, increase availability, and help companies avoid costly downtime. But without the right processes or tools, they require specialized knowledge, a deep understanding of systems, and manual effort for every test. To fully realize the benefits of Chaos Engineering, testing needs to be adopted across all engineering teams without causing a lift or investment that takes away from roadmap progress.