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.
3 min read Komodor, the autonomous AI SRE company for cloud-native infrastructure, today announced the launch of the Komodor Partner Program, designed to enable and reward partners delivering AI-driven cloud-native infrastructure reliability and optimization services to enterprise customers. Foundational partners include Cloud Bazaar, Matrix DevOps, Trace3 and others.
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.
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.
2 min read Company doubled its share of Fortune 500 customers with surging demand for AI-powered reliability and cost control.
8 min read Overprovisioning is draining your cloud budget. Kubernetes cost optimization done right means fixing root causes, not just reading dashboards.
8 min read Pods crashing? Resources wasted? Master resource allocation in Kubernetes with proven rightsizing strategies that work in production.
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.
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.
