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How to scale GenAI apps built on Azure AI services

Discover how to scale genAI applications built on Microsoft Azure. Learn practical strategies for managing costs, handling prompt engineering, and scaling your AI solutions in enterprise environments.R

MCP

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MCP vs A2A

Explore the differences between MCP (and A2A, how they address distinct challenges in AI systems, and why combining them could power the next generation of intelligent, interoperable agents.

How LLM tracing helps you debug and optimize GenAI apps

Learn how LLM tracing helps you debug and optimize AI workflows, and discover best practices to implement it effectively using tools like Portkey.

LLM cost attribution: Tracking and optimizing spend for GenAI apps

Learn how to track and optimize LLM costs across teams and use cases. This blog covers challenges, best practices, and how LLMOps platforms like Portkey enable cost attribution at scale.

The hidden technical debt in LLM apps

Discover where hidden technical debt builds up in LLM apps—from prompts to pipelines—and how LLMOps practices can help you scale GenAI systems without breaking them.

Scaling and managing LLM applications: The essential guide to LLMOps tools

Learn how to scale your AI applications with proven LLMOps strategies. This practical guide covers observability, cost management, prompt versioning, and infrastructure design—everything engineering teams need to build reliable LLM systems.

What a modern LLMOps stack looks like in 2025

Learn what a modern LLMOps stack looks like in 2025 the essential components for building scalable, safe, and cost-efficient AI applications.

What is AI TRiSM?

Learn what AI TRiSM (Trust, Risk, and Security Management) is, why it matters now, and how to implement it to ensure safe, explainable, and compliant AI systems at scale.

Breaking down the real cost factors behind generative AI

Discover the true costs of implementing Generative AI beyond API charges

Why forward compatibility is critical for Agentic AI companies

Learn why forward compatibility is crucial for agentic AI companies seeking enterprise adoption. Discover how Portkey's AI Gateway helps organizations safely integrate new AI capabilities, test models in real-time, and manage resources—all without disrupting existing systems or breaking budgets

Securing your AI via AI Gateways

Learn how AI gateways like Portkey with security solutions like Pillar security help to protect against prompt injections, data leaks, and compliance risks in your AI infrastructure.

Bringing GenAI to the classroom

Discover how top universities like Harvard and Princeton are scaling GenAI access responsibly across campus and how Portkey is helping them manage cost, privacy, and model access through Internet2’s service evaluation program.

What is LLM tool calling, and how does it work?

Explore how LLM tool calling works, with real examples and common challenges. Learn how Portkey helps tool calling in production.