Komodor Blog

AI SRE articles

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Welcome to Komodor's blog, your go-to resource for insights on all things Kubernetes. Stay tuned for expert advice, in-depth tutorials, and the latest industry trends to help you throughout your K8s journey.

Multi-Agent AI SRE Has Landed and Its Built for Your Most Complex Stacks

8 min read

At KubeCon Europe 2026, Komodor is unveiling a new extensible multi-agent architecture for Klaudia AI. To understand why it matters, it helps to start with why building AI for infrastructure is so fundamentally hard.

FinOps in the Age of Kubernetes: When Everyone Owns the Bill

6 min read

Platform teams find themselves caught in the middle, trying to optimize shared infrastructure while both sides insist their priorities are non-negotiable. This conflict plays out across enterprises constantly, and it reveals a fundamental problem with how cost optimization works in cloud-native environments. The typical FinOps model, where a centralized team identifies savings opportunities and pushes recommendations to engineering, assumes that cost and operations are separate domains that can be optimized independently. In Kubernetes, that assumption breaks down completely.

AI SRE in Practice: Enabling Non-Experts to Troubleshoot Kubernetes

6 min read

Part 8 of our AI SRE in Practice Series. This scenario walks through how AI-augmented troubleshooting enables engineers without Kubernetes expertise to diagnose and resolve complex issues, using a real example from a team onboarding non-experts to platform operations.

When AI Writes the Code, Who Pays the Cloud Bill?

4 min read

We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can't manage. Turns out that's only half the problem. The other half shows up on the cloud bill.

When AI Writes the Code, Who Keeps Production Running?

6 min read

The acceleration of AI-assisted development has created an asymmetric problem. Developers got their force multiplier. SREs are still using the same playbook they had five years ago, except now they're responsible for exponentially more code, written by tools that prioritize speed over operational clarity.

AI SRE in Practice: Accelerating Engineer Onboarding with Contextual Expertise

6 min read

Part 7 of our AI SRE in Practice Series. This scenario walks through how AI-augmented knowledge transfer changes the onboarding experience, using a real example from a containers team implementing changes to HiveMQ infrastructure.

AI SRE in Practice: Diagnosing AWS CNI IP Exhaustion Before Widespread Outage

6 min read

Part 6 of our AI SRE in Practice Series. In this scenario we walk through an AWS CNI IP exhaustion incident where 15 services experienced outages before platform teams identified the root cause.

Contextualizing AI SRE: How Klaudia Leverages Organizational Knowledge

5 min read

For an AI SRE to be safe and effective, it cannot rely on generic training data alone. It needs context. Klaudia solves this through a dual-layer approach to context engineering: the Organization Blueprint and the Knowledge Base Integration.

AI SRE in Practice: Tracing Policy Changes to Widespread Pod Failures

6 min read

Part 5 of our AI SRE in Practice Series. This scenario walks through a policy enforcement incident where a seemingly minor configuration change caused widespread pod failures that required deep investigation across the cluster to understand the scope and root cause.

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