All posts tagged

Learn why IP- and ASN-only bot controls break when automation changes providers, and build layered API gateway defenses around identity, behavior, and cost.

Use Go 1.27's HTTP/1 change to diagnose connection reuse across clients, API gateways, and origins without hiding protocol or pool boundaries.

Build LLM monitoring with Prometheus using terminal request outcomes, streaming latency, TTFT, fallback, and policy signals from AISIX 1.6.0.

AISIX 1.6.0 records supported streamed requests when they end, so request metrics and duration histograms reflect terminal outcomes instead of response start.

API7 Gateway 3.10.8 makes distributed and AI rate-limit decisions easier to account for, diagnose, and upgrade safely.

Observe AI gateway traffic across models, providers, tokens, streaming latency, cost, retries, agents, and MCP tools while protecting sensitive data.

Turn API gateway logs into useful operational signals with a deliberate event model, trustworthy correlation, bounded delivery, and actionable queries.

API7 Gateway 3.10.7 rejects indistinguishable duplicate routes, groups compatibility issues, and adds diagnostics for safer upgrades.

Learn how Prometheus native histograms improve API latency visibility and how to migrate gateway dashboards, alerts, and SLOs safely.

Learn how speculative decoding changes LLM throughput, latency, GPU memory, routing, and the metrics an AI Gateway should expose.

Learn how AI Gateway audit logging connects requests, policy outcomes, configuration changes, retention, and exports for AI governance and investigations.

Learn how AISIX usage events and Prometheus metrics reveal MCP tool volume, latency, failures, limits, and guardrail blocks without storing sensitive payloads.

Recent routing and cost signals show why AI platforms need gateway-side visibility into effective cost, caching, latency, and policy instead of relying on model sticker prices alone.

Debug sessions in API7 Gateway capture the full execution timeline of individual requests — every phase, every plugin in execution order, and the request's own log lines. An alert policy can start the capture itself, so the traffic that triggered the alert is the traffic you get to inspect.

Configure AISIX metrics, access logs, response headers, and usage events to investigate AI requests, tokens, latency, routing, and cost.

Discover how API7 Enterprise provides comprehensive API observability to overcome software economics blind spots.

Learn how to enhance development efficiency with real-time API call log monitoring using the APISIX http-logger plugin.

Discover the significance of logging in API gateway management. Learn how logging aids in monitoring, troubleshooting, performance optimization, and security.

Understand distributed tracing technology, optimize microservices architecture, tackle performance bottlenecks, and enhance system stability and observability.

Learn how to improve the observability of APIs through log analysis to quickly locate problems and optimize system performance.

Learn how to leverage metrics monitoring to optimize API performance, ensuring stable operations and swift detection of potential issues.

Discover how to enhance API stability through optimizing alert configuration, ensuring smooth business operations.

APISIX provides many log plugins to enhance the observability and system stability of API gateway.