Gthulhu
FundedCloud-native Kubernetes workload orchestration with granular pod-level scheduling.
About Gthulhu
Gthulhu is a cloud-native workload orchestration platform designed for enterprises running Kubernetes clusters. It provides granular, pod-level scheduling observability and automated scaling without requiring kernel or application code modifications. By leveraging eBPF technology, Gthulhu collects detailed scheduling metrics such as CPU time, context switches, and wait times, aggregated at the pod level and accessible via REST APIs. This enables IT teams to gain deep visibility into workload scheduling behavior and optimize resource allocation effectively.
Targeted at organizations with complex, performance-sensitive workloads like trading systems, big data analytics, and machine learning training, Gthulhu enhances Kubernetes scheduling beyond the default Linux kernel scheduler. It integrates with KEDA for smarter auto-scaling driven by real scheduling pressure rather than generic resource utilization. For environments running Linux 6.12+ with sched_ext, Gthulhu offers advanced custom CPU scheduling capabilities, allowing per-workload policies such as priority-based dispatching and dynamic time-slice tuning, all without kernel modifications. This combination of observability, automation, and tunable scheduling policies helps enterprises optimize workload performance and resource efficiency.
Key Capabilities
- ✓Granular pod-level scheduling metrics via eBPF
- ✓Declarative workload monitoring configuration
- ✓KEDA-based auto-scaling integration
- ✓Advanced scheduling strategies for Linux 6.12+
- ✓Custom kernel-level CPU scheduling without kernel changes
Integrations
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