SRE Fintech Gateway FAQs

Question 1

How is the SRE Fintech Gateway deployed and integrated?

Accepted Answer

The Gateway integrates with AI agents using the Stdio-based Model Context Protocol (MCP). For deployment, it is containerized with Docker and can be easily deployed to Kubernetes clusters via Helm charts. Infrastructure provisioning can also be managed using provided Terraform manifests.

Question 2

What kind of data sources does the Gateway integrate with?

Accepted Answer

The SRE Fintech Gateway integrates directly with Prometheus for metrics data, specifically for querying service-level latencies, and with Kubernetes via its API for inspecting cluster health and pod statuses.

Question 3

What is the SRE Fintech Gateway?

Accepted Answer

The SRE Fintech Gateway is an agentic server designed to connect AI agents (like large language models) to your Kubernetes and Prometheus infrastructure. It enables AI agents to perform real-time diagnostic tasks for Site Reliability Engineers (SREs) in high-scale Fintech environments.

Question 4

How does it benefit SRE teams in Fintech?

Accepted Answer

It significantly benefits Fintech SRE teams by allowing AI agents to perform instant, real-time diagnostics. This includes querying critical service latencies (p95) from Prometheus and identifying unhealthy Kubernetes pods, thereby accelerating incident response and enhancing overall system reliability.

Question 5

What specific diagnostic tasks can AI agents perform?

Accepted Answer

AI agents connected to the Gateway can query Prometheus for real-time p95 latency metrics for specified services. They can also inspect Kubernetes clusters to scan for and report on unhealthy pod statuses across various namespaces, providing immediate insights into cluster health.

SRE Fintech Gateway

SRE Fintech Gateway

주요 기능

사용 사례

주요 기능

사용 사례