Blog posts on Automation

Your next SRE might be a machine

Control is concentrating at the point of intent: prompts, tokens, and routing. The architecture challenge is defining where AI can act, when it must defer, and how to reverse.

Identity is the gatekeeper to agentic AI

As agentic AI shifts machines from tools to actors, identity becomes the core control: who can act, on whose behalf, with what scope—enforced inline at inference time.

AI is driving the emergence of new traffic types

AI adoption is creating new first-class traffic types: inference requests plus machine-driven automation traffic and high-volume telemetry traffic that feed control loops.

Inference is now the center of operational gravity

Multi-model operations and API-driven automation push control to inference-time layers—prompt, token/control, routing, and moderation—where cost, risk, and performance must be managed.

Programmability is the only way control survives at AI scale

Learn why data and control plane programmability are crucial for scaling and securing AI-driven systems, ensuring real-time control in a fast-changing environment.

When Complexity Becomes the Enemy: How Operational Workflow Sprawl Threatens Performance and Delivery

Explore how operational workflow complexity threatens uptime, resilience, and delivery, and why simplifying processes is key to modern app infrastructure.

Context Is the New Perimeter: Governing AI Agents with Programmable Application Delivery

AI agents carry context with every request—but drift, bloat, and stale policies threaten reliability. Learn how programmable delivery can enforce cognitive hygiene.

AI Agents Moving Decision-Making Up the Stack

AI agents move decision-making into requests, redefining infrastructure. Learn how to prepare for runtime delegation with policy-first, intent-aware systems.

Five Key Benefits of Centralized Management

Discover how to enhance security, ensure policy consistency, streamline operations, improve performance, and deliver great digital experiences.

SOAS 2025: Misalignment Means Mediocrity

Misalignment in AI deployment leads to inefficiency. Discover how aligning strategies in security, automation, and deployment can unlock AI's full potential.

All Eyes on Automation

Discover how AIOps and automation are transforming IT operations. Get insights from our State of Application Strategy 2025 report and boost your IT efficiency.

Modern App Delivery in Kubernetes with F5 BIG-IP

Discover how F5 BIG-IP enhances app delivery with automation, security, AI integration, and scalability for modern Kubernetes application infrastructures.

AI Agents vs. Agentic AI: Understanding the Difference

Discover the key differences between AI agents and agentic AI. Learn how these distinct approaches to automation and intelligence are shaping the future of technology.

Data Immaturity: A Roadblock to Advanced AI

Data immaturity limits AI success due to poor data quality, accessibility, and governance. Overcome it with a clear strategy, robust governance, and scalable infrastructure.

Easing the tension between data security and automation

Automation vs. data security tension can be eased with timely credential renewals or least privilege service credentials, treating automation as a special user type within enterprise governance.

AI and the OODA Loop: Reimagining Operations

Transform IT operations with OODA loops and AI. Boost decision speed, flexibility, and resilience for a more adaptive, efficient, and agile future.

Maslow’s Hierarchy of Automation Needs