Observability with service mesh in Kubernetes - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a service mesh in Kubernetes?

A service mesh is a dedicated infrastructure layer that manages service-to-service communication in Kubernetes. It helps with load balancing, security, and observability without changing application code.

beginner

Name three key observability features provided by a service mesh.

1. Metrics collection (like request rates and latencies)<br>2. Distributed tracing (tracking requests across services)<br>3. Logging of service communication events

intermediate

How does a service mesh collect telemetry data without changing application code?

It uses sidecar proxies deployed alongside each service instance. These proxies intercept and manage all network traffic, collecting telemetry data transparently.

intermediate

What is distributed tracing and why is it important in a service mesh?

Distributed tracing tracks a request as it travels through multiple services. It helps identify where delays or errors happen, making debugging easier in complex systems.

beginner

Give an example of a popular service mesh tool used for observability in Kubernetes.

Istio is a popular service mesh that provides observability features like metrics, tracing, and logging for Kubernetes services.

What component in a service mesh collects telemetry data from services?

A API server

B Sidecar proxy

C Kubernetes scheduler

D Ingress controller

Sidecar proxies run alongside services and intercept traffic to collect telemetry data without changing the application.

Which of the following is NOT a typical observability feature of a service mesh?

A Logging

B Metrics collection

C Distributed tracing

D Automatic code compilation

Automatic code compilation is unrelated to observability and service mesh functions.

Why is distributed tracing useful in a service mesh?

A To encrypt service data

B To compile service code faster

C To track requests across multiple services

D To manage Kubernetes nodes

Distributed tracing helps follow a request's path through services to find delays or errors.

Which service mesh tool is widely used for observability in Kubernetes?

A Istio

B Docker

C Helm

D Terraform

Istio is a popular service mesh that provides observability features in Kubernetes.

How does a service mesh improve observability without changing application code?

A By using sidecar proxies to intercept traffic

B By rewriting application source code

C By modifying Kubernetes API server

D By changing container images

Sidecar proxies intercept service traffic to collect data without modifying the application.

Explain how a service mesh helps with observability in Kubernetes.

Think about how traffic is managed and data collected without touching the app itself.

Describe the role of distributed tracing in a service mesh environment.

Imagine following a package as it moves through different delivery stops.