Lessons learned from production

Kubernetes has been around long enough now that there are a number of companies running Kubernetes. In our day jobs, we've seen Kubernetes run in production across a number of different industry verticals and in numerous configurations. Let's explore what folks across the industry are doing when providing customer-facing workloads. At a high level, there are several key areas:

• Make sure to set limits in your cluster.
• Use the appropriate workload types for your application.
• Label everything! Labels are very flexible and can contain a lot of information that can help identify an object, route traffic, or determine placement.
• Don't use default values.
• Tweak the default values for the core Kubernetes components.
• Use load balancers as opposed to exposing services directly on a node's port.
• Build your Infrastructure as Code and use provisioning tools such as CloudFormation or Terraform, and configuration tools such as Chef, Ansible, or Puppet.
• Consider not running stateful...