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gRPC & High Performance APIs · Lesson

gRPC on Kubernetes

Deploy and orchestrate gRPC services within a Kubernetes cluster, configuring ingress and service meshes.

K8s for gRPC: Why It Matters

Modern applications rely on microservices, which communicate efficiently. gRPC is a top choice for high-performance communication between these services.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It's a perfect match for gRPC services.

K8s provides the infrastructure to run your gRPC services reliably, scale them automatically, and ensure high availability.

Core K8s: Pods & Deployments

Before deploying gRPC, let's recap two key K8s concepts:

  • Pods: The smallest, most basic deployable unit in K8s. A Pod runs one or more containers (like your gRPC server app).
  • Deployments: Manages a set of identical Pods. They ensure a specified number of Pods are always running and handle updates gracefully.

Your gRPC server will run inside a container, packaged within a Pod, managed by a Deployment.

All lessons in this course

  1. gRPC on Kubernetes
  2. Cloud Load Balancers
  3. Serverless gRPC Functions
  4. gRPC Traffic Management with a Service Mesh
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