Cloud-Native & Kubernetes | F5

An application delivery and security platform can unify traffic management, security, and observability for Kubernetes, helping organizations deliver and scale apps, APIs, and AI across environments with less cost, complexity, and risk.
The F5 Application Delivery and Security Platform (ADSP) gives developers agility while unifying Kubernetes traffic management, security, and observability to deliver and scale apps and AI with consistent policies everywhere.
Accelerate developer agility in Kubernetes and cloud-native environments for AI in production, standardizing app, API, and inference traffic across any environment
Optimize GPU cluster utilization and accelerate AI initiatives by eliminating data pipeline and traffic bottlenecks in production
Centralizing policy, security, and observability reduces cost and provides end-to-end governance across clusters, tenants, teams, core, cloud, and edge
Minimize business risk with processes and safeguards designed for carrier-grade multi-tenant networks and AI
Kubernetes solves core operational challenges, but it does not control how traffic behaves. As organizations manage multiple clusters, tenants, and teams, this control can lead to fragmented tooling, inconsistent security, limited end-to-end visibility, and systems that are harder to operate. The F5 Application Delivery and Security Platform (ADSP) extends enterprise-grade solutions for networking, security, and observability into modern Kubernetes environments. With a centralized control layer, teams can standardize Kubernetes networking, support AI inference workloads, and scale securely without operational overhead.
A lightweight reverse proxy, load balancer, and API gateway deeply embedded in cloud-native architectures for delivering lightweight microservices in Kubernetes
Delivers advanced capabilities across deterministic control of ingress and egress, microsegmentations, and strict multi-tenancy, and high-performance traffic handling for large-scale or latency-sensitive workloads
Connects Kubernetes resources to BIG-IP to manage ingress traffic, enforce consistent application delivery and security policies, and support containerized applications using familiar BIG-IP operational models
F5 delivers unified, container-native protection for web applications, APIs, and AI workloads directly inside Kubernetes, enforcing consistent security at ingress and between services. F5 blocks common web attacks, bots, and API abuse, secures access with identity and encryption, and applies rate limits to prevent overload. Centralized policies and visibility make protections consistent across clusters and environments, helping teams ship faster while reducing risk and operational complexity.
Automates, synchronizes, and centralizes policies, WAF protections, TLS, and visibility across services and clusters
Delivers native, lightweight, and high-performance Layer 7 protection, embedding WAF protections at Kubernetes ingress, blocking OWASP threats and bots while supporting DevOps automation and consistent policies
Delivers high-throughput, scalable ingress security with ingress/egress traffic management, TLS, policy enforcement, and multi-tenant isolation for Kubernetes apps
F5 ADSP simplifies AI inference on Kubernetes, optimizing network traffic flows by steering requests to the best available inference endpoints, dynamically balancing load across clusters and GPUs, improving performance, minimizing latency, and ensuring high model availability. It secures access with consistent identity, policy enforcement, encryption, and threat protections for APIs and model services. The platform provides robust security guardrails to defend endpoints against emerging exploits and unauthorized access, enabling enterprises to scale and run their modern AI workloads with total confidence. F5 ADSP also optimizes inference traffic with smart routing, connection reuse, rate controls, and end‑to‑end observability, improving performance, minimizing latency, driving reliability, and ensuring high model availability and superior GPU utilization as demand scales.
Streamlines AI inference through dynamic Kubernetes gateway routing, load balancing, and policy controls, steering inference traffic reliably across GPU-backed services and clusters while rate-limiting high-volume LLM API traffic
F5’s containerized gateway accelerates, load balances, and secures Kubernetes inference services, optimizing L4–L7 traffic, TLS, and policies for reliable GPU utilization
Cloud-native functions help enterprises and service providers deliver advanced networking and security capabilities quickly in a cloud-native form factor, improving resilience while reducing cost and operational friction. The F5 Application Delivery and Security Platform (ADSP) enables this by unifying traffic management, security, and observability across Kubernetes and hybrid environments. Enterprises benefit from DevOps-driven updates, consistent hybrid and multicloud policy, elastic scaling, higher reliability, and fewer point tools. Service providers gain CNF-ready services, faster API-driven rollout and monetization, simpler operations, rolling maintenance, and efficient scale to improve cost per Gbps and accelerate capacity growth.
Centralizes Kubernetes ingress / egress networking and security, unifying multi-network routing, 5G protocols, zero trust security, and high-performance AI infrastructure scaling, optimizing AI traffic, isolation, and visibility
Cloud-native network functions deliver containerized traffic management, CGNAT, DNS, and zero trust security to dynamically scale and automate Kubernetes infrastructure, and consolidate critical services for enterprises and providers
Real-time, kernel-level eBPF telemetry gives deep Kubernetes traffic visibility across environments, speeding troubleshooting and security insight without sidecars
Kubernetes solves core operational challenges, but it does not control how traffic behaves. As organizations manage mu