At StashAway, we have been running Docker containers from the very first day. Initially, we were using Rancher as the container orchestrator, but as we grew, we decided to switch to Kubernetes (k8s) — mainly because of its rapidly growing ecosystem and wide adoption.
This post describes how we use k8s and its tooling stack to run our application in a production-grade environment.
All applications whether stateless or stateful needs an environment with these fundamental necessities built-in:
Containers are elastic in nature, they can come up and go down anytime. Since each container gets a dynamic IP address, registration of each container instance is a must, so that others can communicate with it. Kubernetes supports two modes of discovery: Environment variables and DNS-based.
If you are for example running Cassandra inside a container, its IP address will be available both as an environment variable CASSANDRA_HOST, as well as a domain name cassandra.default.svc.cluster.local.
DNS-based service discovery is more popular among the two but special care needs to be taken since some DNS client libraries set high DNS cache TTL values. Eg. JVM caches domain names forever by default.
DNS-based names for discovery as shown above are only resolvable from inside the Kubernetes cluster. In order to address a service from outside the cluster, it needs an automatic DNS registration to a third party DNS provider such as AWS Route53, Google CloudDNS, AzureDNS, CloudFlare. To mitigate against the dependency on a single DNS provider, you should consider hosting your zones on multiple providers.
In k8s world, this can be achieved easily via annotations using ExternalDNS. This incubator project takes care of registering a new (sub-)domain as soon as any new k8s service or ingress controller is created. It is also aware of the records it manages via an extra TXT record along with the primary A record, hence preventing any accidental overwriting of existing records.
With lots of containers and services popping in and out of existence, routing external traffic to healthy containers is challenging. Kubernetes Ingress is the saviour. It provides load balancing, SSL termination and even name based routing. Ingress is just an abstraction layer which can use any software load-balancer as its implementation.
Current Ingress controller implementations include Nginx Ingress (Nginx based), Voyager (HAProxy based) and Contour (EnvoyProxy based). The first one is the most matured which we are using (along with ELB) for all our traffic routing — but it provides only HTTP based routing. For TCP based routing, you’ll need to use Voyager. Contour is very interesting since it comes along with all the benefits of Envoy which is a service proxy designed specifically for modern cloud native applications. It has first class support for gRPC and provides features like circuit breaking which are not available in standard load-balancers.
Many Kubernetes objects like pods, services and ingresses together define the application, hence it is important to monitor the state of each one of them.
Prometheus is definitely the right choice available in open-source to monitor your Kubernetes apps and cluster. It has an inbuilt discovery for these k8s objects. Since monitoring without alerting is useless, Alertmanager perfectly fills the gap by providing nice integrations like Slack notifications.
Most people use Prometheus along with Heapster which can be integrated with many open-source monitoring solutions like InfluxDB and Riemann. Those who want to get fine container level metrics can add cAdvisor to their monitoring stack, too.
While you are running multiple instances of the same image, you can’t afford to login into each container and tail the logs. Each k8s node needs to run an agent to push these container logs. Surprisingly, in k8s world, the EFK stack is more popular than the ELK stack.
Fluent-bit is a lightweight (alternative to Fluentd) and is a fully Docker- and Kubernetes-aware agent which can be used to push these logs directly to Elasticsearch. It automatically adds kubernetes labels and annotations in each log line. You can also integrate it with Slack for sending notifications in case of any error/exception.
We bundle all our applications as Docker images along with its dependencies. To keep the deployment pipeline clean, its very important to templatize these manifests. Helm, the package manager for k8s, is a great way to deploy apps on Kubernetes. There are many community-managed helm charts which are stable and ready to be used in production.
One of the pain-points of helm is that someone needs to write these charts by first understanding each of the YAML fields. Ksonnet is going to remove it by dynamically generating helm charts on demand.
Almost 90% of modern applications expose an HTTP endpoint. To secure these HTTP services, the basic requirement is to install an SSL certificate to enable encrypted communication.
Provisioning, installing & updating these certificates can become cumbersome, if it is not automated properly.
Automatic provisioning of Let’s Encrypt certificates for k8s ingresses can be done via kube-cert-manager. We chose this over kube-lego since it has support for Let’s encrypt DNS based validation challenges. Hence it can be used for issuing certs for applications which are hosted in a private network. It also takes care of renewing these certificates.
In this post, we talked about why you should choose Kubernetes for your next project. We will go in-depth into few of these topics in our upcoming blog posts.
We are constantly on the lookout for great tech talent to join our team — visit our website to learn more and feel free to reach out to us!