Unlock the power of AI-driven operations. Dive into best practices, tools, and real-world use cases where artificial intelligence enhances observability, automates incident response, and optimizes API performance at scale.
Your traditional monitoring dashboards may show perfect infrastructure health, but that doesn't guarantee your large language model (LLM) application is running correctly. AI observability is the crucial fourth pillar that adds behavioral telemetry to detect and troubleshoot unique issues like…
[](/blog/learning-center/guide-to-ai-observability)
Traditional API Gateways: Excellent for routing, auth, and microservice traffic; poor at AI workloads. Limitations: Can't track tokens, manage streaming responses, enforce content-level security, or use semantic caching. AI Gateways Purpose-built for LLMs with: Architecture Recommendation: Layered…
[](/blog/learning-center/api-gateway-vs--ai-gateway)
Picture this: It's 3 AM, and your phone erupts with alerts. Within minutes, you're drowning in a tsunami of notifications—hundreds of them—while your company's critical services hang by a thread. Your monitoring dashboard looks like a Christmas tree gone wrong, every light blinking red, and you…
[](/blog/learning-center/what-is-aiops)
As businesses increasingly harness the power of artificial intelligence (AI) and large language models (LLMs), a new challenge emerges: managing the deluge of AI requests flooding systems. This exponential growth in AI traffic creates what could be considered a gratifying predicament—high demand…
[](/blog/enterprise/how-to-master-aillm-traffic-management-with-intelligent-gateways)
This comprehensive guide will arm you with the knowledge and strategies needed to protect your LLMs from emerging threats. We’ll explore the OWASP LLM Top 10 vulnerabilities in detail and provide actionable approaches to mitigate these risks. Who should read this? By the end of this guide, you’ll…
[](/blog/enterprise/llm-security-playbook-for-injection-attacks-data-leaks-model-theft)
AI is quickly transforming the way businesses operate, turning what was once futuristic into everyday reality. However, we're still in the early innings of AI, and there are still several key limitations with AI that organizations should remain aware of to ensure that AI is being leveraged in a…
[](/blog/enterprise/automated-rag-hallucination-proof-llms)
Today at API Summit , we're introducing one of the biggest new releases of our AI Gateway technology : a new class of intelligent semantic plugins, new advanced load balancing capabilities for LLMs, and the official support for AWS Bedrock and GCP Vertex, in addition to all the other supported LLM…
[](/blog/product-releases/ai-gateway-3-8)
We’re pleased to announce the new LLM Usage reporting feature in Advanced Analytics, which aims to help organizations better manage their large language model (LLM) usage. This feature offers insights into token consumption, costs, and latency, allowing businesses to optimize their AI investments.…
[](/blog/product-releases/ai-analytics)
AI has been taking the world by storm. The innovative technology is responsible for revolutionizing the way users can synthesize information through Large Language Models (or LLMs) and interact with the world. However, the current state of AI isn't perfect and can be further optimized. This is…
[](/blog/engineering/gorilla-llm)