Service Mesh Metrics Encryption via Dummy Headless Services
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Solution Overview
Problem
The incompatibility between Prometheus and service mesh models in Kubernetes environments leads to unsecured metrics scrapes, as the service mesh proxy cannot identify the service to which the scrape is going and thus sends the request unencrypted.
Innovation Solution
A new Kubernetes controller is introduced to detect which application pods are scheduled for monitoring, create dummy headless services that match these pods, and program the service mesh with this information, allowing it to intercept and encrypt monitoring requests destined for these dummy headless services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Prometheus scrapes pod metrics directly using the Prometheus model, then metrics collection is simple and straightforward, but the metrics scrapes are unsecured and do not comply with zero trust security requirements
Solution Approach 1:
The service mesh proxy acts as an intermediary between Prometheus and the pods. It intercepts the scraping traffic, performs TLS encryption, and forwards the secured requests to the pods. This mediator resolves the contradiction by maintaining the simplicity of Prometheus scraping while ensuring security through the service mesh's intermediary function.
Solution Approach 2:
The service mesh proxy performs multiple functions: it acts as a traffic router, TLS terminator, and security gateway. By making the proxy universal and handling both routing and security functions, the system maintains simple Prometheus operation while achieving secured metrics collection without requiring changes to Prometheus itself.
2Reliability
If the service mesh is configured to intercept all traffic to pods, then security coverage is maximized, but the service mesh cannot correctly identify monitoring traffic destined for dummy headless services
Solution Approach 1:
The system creates dummy headless services in advance before Prometheus starts scraping. These dummy services are pre-configured with the same selectors as the actual pod services, allowing the service mesh to correctly identify and route monitoring traffic to the right destinations before security issues arise.
Solution Approach 2:
Dummy headless services are created as copies of the actual services, using identical selectors and port configurations. This copying allows the service mesh to practice traffic routing and identification on the dummy services, ensuring accurate identification of monitoring traffic without affecting the actual pod services.
3Object-affected harmful factors
If dummy headless services are created to match application pods, then service mesh can correctly intercept and encrypt monitoring traffic, but the system complexity increases
Solution Approach 1:
The service mesh system automatically creates and manages dummy headless services without requiring manual configuration. The service mesh controller autonomously generates the dummy services based on the service registry information, making the system self-configure and reducing operational complexity despite the added functionality.
Solution Approach 2:
The dummy headless services are merged with the existing service mesh infrastructure, sharing the same control plane and management mechanisms. By integrating the dummy services into the existing service mesh framework rather than creating a separate system, the overall complexity increase is minimized while achieving the security goal.
Data Source
AI summary
Information is provided to a service mesh by a Kubernetes (K8s) controller. The information enables the service mesh to determine an IP address of application pods to which a monitoring request is destined. The K8s controller detects which of the application pods are scheduled to be monitored by the monitoring service. The K8s controller creates dummy headless services that match the application pods scheduled to be monitored. The service mesh is programmed information from the dummy headless services to cause the service mesh to intercept the monitoring request and identify that the monitoring request is destined to the dummy headless service based on the addresses. In response the service mesh encrypts the monitoring request.