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How F5 AI Accelerates SecOps, DevOps and NetOps for Modern Security and Operations
Learn how F5 is accelerating modern security and operations by taking a practical, platform-first approach to AI by embedding the F5 AI Assistants directly into its core products ensuring intelligence is available exactly where teams work every day.
Network Automation with Nokia and Red Hat OpenShift
Nokia's Event Driven Automation (EDA) is a cloud-native platform that leverages data center fabric automation and AI Operations to simplify the management of network layers across physical switching, hypervisors and infrastructure management. By using an intent-based approach for network lifecycle management, EDA supports multiple vendors and integrates with solutions such as Red Hat OpenShift and Netbox Labs.
A Working Kubevirt Tutorial
This post provides a step-by-step tutorial on manually adding KubeVirt to Kubernetes. It includes instructions on installing Kubernetes, KubeVirt base components, and creating and managing virtual machines. The tutorial also covers additional features such as console access, SSH login and VNC connection to the virtual machines.
Comprehensive Guide to OWASP Top 10: Web Applications, APIs and Automated Threats
The Open Web Application Security Project (OWASP) provides industry-standard frameworks for identifying and mitigating the most critical security risks facing modern applications. This guide explores three critical OWASP initiatives and maps F5's Web Application and API Protection (WAAP) solutions to each threat category.
What You'll Learn:
* OWASP Web Application Security Top 10 (2021)
* OWASP API Security Top 10 (2023)
* OWASP Automated Threats to Web Applications (21 threat types)
* How F5 solutions protect against each threat category
* Hands-on lab exercises to practice defense techniques
Harness the Power of Azure with NGINXaaS – Advanced Load Balancing and API Gateway
This blog explains how modern, API-driven applications demand cloud-native security and highlights how F5 NGINXaaS for Azure delivers a fully managed, high-performance WAF to protect them. It outlines key capabilities such as OWASP Top 10 defenses, API security, DevSecOps integration and Azure-native observability, helping enterprises secure apps and APIs without hardware or operational overhead.
MLOps: CI/CD + CT... What's Continuous Training?
A paradigm shift is occurring in the world of CI/CD (Continuous Integration/Continuous Development). It's called, "Continuous Training," and it's a key aspect to machine learning development pipelines.
Windsurf In Action: Building AWS Infrastructure
Our team has been using Windsurf as an AI-powered development environment for a few months now. Like any tool, there are areas where it shines. Here's an experience that demonstrates the tool at its best, turning a multi-day feature into a single day's work.
AI at Work: Streamlining Warehouse Operations with Automated Label Scanning
WWT piloted a custom AI-powered label scanning system to streamline warehouse receiving operations. By combining edge computing, multimodal models and real-time system integration, the solution significantly reduced manual processing time and improved accuracy. Built in-house to meet specific operational needs, the system offers a scalable, cost-effective path to modernizing warehouse workflows and enhancing overall supply chain performance.
Is the Database Your Application Landscape's Achilles Heel?
Tracking the performance of your database will equip your application teams with the insight that is needed to improve and preserve the highest degree of performance to in order to facilitate a resilient application environment.
Integrating MLOps for the AI Advantage: Top Trends in 2022
Curious about MLOps and how the field is evolving? Read on for the latest developments that we have observed from working with our partners.
Docs as Code, Diagrams as Code
Alongside the move toward Infrastructure as Code is Docs as Code, automating IT documentation as changes occur.
Bridging the AI Value Gap: Our Insights from IBM TechXchange 2025
AI's potential is unlocked through automation, transforming insights into actionable business value. IBM TechXchange emphasized that automation is essential for operationalizing AI, bridging the gap between investment and results.