GKE best practices: Exposing GKE applications through Ingress and Services

One critical part of designing enterprise applications running on Google Kubernetes Engine (GKE) is considering how your application will be consumed by its clients. This could be as simple as exposing your application outside the cluster, to be consumed by other internal clients, or might involve routing traffic to your application from public clients across the globe.

How you should do this depends on many factors. Is the client from the internet or an internal network? Which networking protocols does the application speak? Is the application hosted in a single region or cluster, or is it deployed globally? Determining which solution to use to expose your application requires considering your application requirements in a few key areas. These requirements shouldn’t be assessed in isolation—you should look at them holistically to determine the most appropriate networking solution to expose your application.

Let’s walk through the different factors that should be considered when exposing applications on GKE, explain how they impact application exposure, and highlight which networking solutions each requirement will drive you toward. Assuming you’re familiar with Kubernetes concepts such as Deployments, Services, and Ingress resources, we’ll differentiate between different exposure methods from internal, to external, to multi-cluster, and more.

Understanding application exposure

Exposing an application to external clients involves three key elements, which together allow you to route traffic to your application:

  • Frontend: The load balancer frontend defines the scope in which clients can access and send traffic to the load balancer. This is the network location that is listening for traffic—a network, a specific region or subnet within the network, one or more IPs in the network, ports, specific protocols, and TLS certificates presented to establish secure connections.
  • Routing and load balancing: Routing and load balancing define how traffic is processed and routed. Traffic can be routed to services based on parameters such as protocol, HTTP headers, and HTTP paths. Depending on the load balancer you use, it may balance traffic across multiple zones or regions to provide lower latency and increased resiliency to your customers.
  • Backends: Backends are defined by the type of endpoints, application platform, and backend service discovery integration. Specific application environments such as GKE are aided by service discovery integration, which updates load balancer backends dynamically as GKE endpoints come up and down.

The following diagram illustrates these concepts for two very different types of traffic flows—external and internal traffic. The External HTTP(S) Load Balancer is listening for traffic on the public internet through hundreds of Google points of presence around the world. This global frontend allows traffic to be terminated at the edge, close to clients, before it load balances it to its backends in a Google data center. The Internal HTTP(S) load balancer depicted here listens within the scope of your VPC network, allowing private communications to take place internally. These load balancer properties make them suited for different kinds of application use cases.

1 vpc network.jpg

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GKE best practices: Exposing GKE applications through Ingress and Services
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50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

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(State of Kubernetes and Container Security, 2020)

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