Introducing AI Assistant for Calico, Calico Load Balancer, and Seamless VM-to-Kubernetes Migration

Troubleshooting at the Speed of Thought: Introducing an Al Assistant for Calico Eliminating Hardware Bottlenecks: The Calico Load Balancer The Great Migration: Seamlessly Moving VMs to Kubernetes One Platform for Networking, Security, and Observability Next Steps: Get Hands-on with These Innovations SAN JOSE, Calif. , March 23, 2026 — Tigera , the creator and maintainer of Project Calico, today announced a major expansion of its Unified Network Security Platform for Kubernetes, aimed at helping enterprises consolidate infrastructure and accelerate the migration of legacy workloads to cloud-native platforms. The new capabilities include: Al Assistant for Calico : A proactive, conversational intelligence layer that replaces complex manual log analysis with natural-language troubleshooting and proactive security audits. Calico Load Balancer : A high-performance, eBPF-based, software-defined load balancer that replaces expensive, rigid hardware appliances with a Kubernetes-native solution. Seamless VM-to-Kubernetes Migration : Advanced Layer 2 (L2) networking support eliminates migration friction by allowing virtual machines to move into Kubernetes clusters without changing their original IP addresses or existing VLAN dependencies. These innovations help organizations tackle the rising “complexity tax” in managing high-scale Kubernetes clusters and provide a high-velocity path to consolidate virtual machines and containers into a single, standardized platform. “The industry is at a breaking point where the operational overhead of managing legacy hardware and fragmented VM silos is no longer sustainable. By building a distributed load balancer into the fabric of Calico, launching an Al assistant that ‘troubleshoots at the speed of thought,’ and introducing live migration support to move VMs to Kubernetes, we are giving platform teams the power to innovate rather than spend hours managing and troubleshooting. ” — Ratan Tipirneni, president and CEO, Tigera Despite the wealth of telemetry available in modern clusters, SREs often struggle to find the “connecting thread” across isolated events. Calico’s Al Assistant provides a context-aware intelligence layer to extract actionable insights from raw telemetry. Ask, Don’t Query: Engineers can move away from rigid query languages and toward articulating intent in plain English. For example: “What are the unrestricted egress destinations currently receiving traffic from my pods?” Context-Aware Explanations: The assistant provides summaries and recommendations generated from real telemetry and policy context, explaining exactly why traffic is being denied and offering remediation advice.