Overview

F5 Distributed Cloud App Stack is a SaaS-based solution designed to deploy, secure, and operate distributed applications across various environments, including private and public clouds, as well as edge locations. It leverages a managed Kubernetes platform to provide centralized management, observability, and operations, simplifying the complexity of managing multiple clusters and locations. This platform ensures uniform production-grade Kubernetes operations, enhancing application lifecycle management and scalability.

Features

Centralized Management

• Single pane of glass for managing distributed applications.
• Centralized orchestration and observability. Multi-Cluster Management
• Manage multiple Kubernetes clusters with a single API.
• Simplify lifecycle management across on-prem, cloud, and edge locations. Security and Compliance
• Integrated zero trust security with ingress services.
• Network and application firewall, WAAP, and service policies management. Scalability
• Effortless scaling of applications across multiple clusters.
• Support for large-scale deployments with centralized control. Application Delivery and Performance
• Deploy applications to any location as a unified virtual site.
• Improve latency and performance by moving performance-sensitive applications to edge sites. AI and ML Integration
• Leverage AI/ML applications on the edge.
• GPU as a service for enhanced computational capabilities. Lifecycle Management
• Simplify Day 0 to Day 100 Kubernetes operations.
• Easy creation, destruction, upgrade, and maintenance of clusters. Observability and Monitoring
• Real-time visibility and actionable recommendations.
• Centralized logging and metrics with API-based integrations.

Benefits

• Simplified Operations: Centralized management reduces the complexity of handling multiple clusters and locations.
• Enhanced Security: Integrated security features ensure robust protection for applications and data.
• Improved Performance: Edge computing capabilities enhance application performance and reduce latency.
• Scalability: Easily scale applications across various environments with centralized control.
• AI/ML Capabilities: Integration with AI/ML and GPU services provides advanced computational power and insights.