Event-Driven Autoscaling
Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems
KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...
Kishor Patil | | agentic AI, AI agents, AI infrastructure, AI model serving, cloud native AI, devops, Event-Driven Autoscaling, horizontal pod autoscaling, HPA, inference scaling, KEDA, Kubernetes AI workloads, Kubernetes autoscaling, Kubernetes Event-Driven Autoscaling, platform engineering, Pub/Sub, queue depth, RabbitMQ, Redis, scale-to-zero, SQS
Deploying Docker AI Agents on OCI and OKE
This guide details the architectural transition of AI agents from experimental scripts to "first-class production workloads" using Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE). It emphasizes a zero-trust, scalable approach ...
Pavan Madduri | | Agentic Architecture, AI, AI agents, containerization, Data Minimization, docker, Event-Driven Autoscaling, GitOps, infrastructure as code, kagent, KEDA, Kubernetes CRD, Kyverno, LLM Inference, MCP server, Model Context Protocol, oci, OCI Generative AI, OCI Vault, OCIR, OKE, OpenTelemetry, Oracle Kubernetes Engine, Production Workloads., Terraform, Virtual Nodes, Zero-Trust Security

