In the dynamic world of cloud-native applications, deploying new features or updates to production without causing disruptions to users is a challenging task. Canary deployment, allows organizations to roll out changes gradually, reducing risks and gathering valuable feedback from a subset of users before a full release. In this comprehensive guide, we will explore how to implement canary deployment on AWS Elastic Kubernetes Service (EKS) using powerful tools like Istio, Argo CD, and Argo Workflows. By combining these technologies, development teams can innovate rapidly while maintaining the reliability and stability of their cloud-native applications.
In this guide, we will delve into the step-by-step process of setting up an AWS EKS cluster, configuring Istio for advanced service mesh capabilities, and simplifying application deployment with Argo CD. Furthermore, we will showcase how Argo Workflows can orchestrate the canary deployment process, providing a seamless and controlled transition to the new version. Let's dive into the world of canary deployment on AWS EKS, where reliability meets innovation, and continuous improvement becomes a reality.
AWS Elastic Kubernetes Service (EKS) is a managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications using Kubernetes. It provides a reliable and scalable platform for running microservices and applications.
# Create an EKS cluster using the AWS Management Console or AWS CLI
aws eks create-cluster --name my-eks-cluster --role-arn arn:aws:iam::123456789012:role/eks-cluster-role --resources-vpc-config subnetIds=subnet-1a,subnet-1b,subnet-1c,securityGroupIds=sg-1234567890
# Configure the kubeconfig file to access the EKS cluster
aws eks update-kubeconfig --name my-eks-cluster
# Verify the cluster status
kubectl get nodesExample: Setting up an AWS EKS Cluster
Istio is an open-source service mesh platform that offers advanced networking and security features for Kubernetes applications. It provides powerful traffic management, observability, and fault tolerance capabilities.
# Install Istio using Helm
helm repo add istio.io istio
helm repo update
helm install my-istio istio.io/istio
# Enable Istio automatic sidecar injection
kubectl label namespace default istio-injection=enabled
# Create Istio VirtualService and DestinationRule for canary deployment
kubectl apply -f - <Example: Installing Istio and Enabling Traffic Management
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. It helps automate application deployments, reduces human errors, and provides a consistent way to manage applications' configuration.
To use Argo CD and Argo Workflows for your Canary deployment, you need to install these tools in your Kubernetes cluster.
# Create a namespace for Argo CD
kubectl create namespace argocd
# Install Argo CD using Helm
helm repo add argo https://argoproj.github.io/argo-helm
helm repo update
helm install argocd argo/argo-cd -n argocd
# Expose the Argo CD UI
kubectl patch svc argocd-server -n argocd -p '{"spec": {"type": "LoadBalancer"}}'
Example: Installing Argo CD
# argo-cd-application.yaml
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: my-application
spec:
destination:
namespace: default
server:
project: default
source:
repoURL:
path: kubernetes
targetRevision: main
syncPolicy:
automated: {}
Example: Deploying Applications with Argo CD
Argo Workflows is an excellent tool for orchestrating complex workflows in Kubernetes. With Argo Workflows, you can define the steps and logic required to execute the canary deployment process seamlessly.
# Install Argo Workflows using Helm
helm install argoworkflows argo/argo-workflows
Example: Installing Argo Workflows
I'll provide a comprehensive overview of the canary deployment workflow using Istio, Argo CD, and Argo Workflows. I'll walk readers through the entire process, from pushing updates to the canary environment to monitoring and gathering feedback during the canary deployment.
# canary-deployment-workflow.yaml
apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
name: canary-deployment
spec:
entrypoint: canary-deploy
templates:
- name: canary-deploy
steps:
- - name: image-promotion
template: image-promotion
- - name: traffic-shifting
template: traffic-shifting
- - name: validation-checks
template: validation-checks
onExit: exit-handler
- name: image-promotion
container:
image: myorg/image-promotion:latest
command: ["sh", "-c", "echo 'Image promotion step'"]
- name: traffic-shifting
container:
image: myorg/traffic-shifting:latest
command: ["sh", "-c", "echo 'Traffic shifting step'"]
- name: validation-checks
container:
image: myorg/validation-checks:latest
command: ["sh", "-c", "echo 'Validation checks step'"]
- name: exit-handler
container:
image: myorg/exit-handler:latest
command: ["sh", "-c", "echo 'Canary deployment completed'"]
Example: Creating a Canary Deployment Workflow
To illustrate the canary deployment workflow, let's consider a real-world example. The software company deploys a new version of its e-commerce application, introducing a more efficient product recommendation algorithm. The canary deployment process begins by pushing the new version to the canary environment. Argo CD detects the change and triggers the canary deployment workflow orchestrated by Argo Workflows.
During the canary deployment, Istio directs only 5% of the user traffic to the canary version, while the remaining 95% is directed to the stable version. Observing the behavior of the canary version under real-world traffic conditions helps identify potential issues and gauge its performance.
To ensure the canary version's stability, Argo Workflows runs a series of automated tests against the canary deployment, including API endpoint tests and performance tests. These tests validate the application's functionality and performance against predefined criteria.
Additionally, the software company monitors application metrics and gathers user feedback to assess the canary version's performance. Prometheus and Grafana are used to monitor key performance indicators (KPIs) such as response times and error rates.
Canary deployment offers several significant benefits for the scenario of deploying cloud-native applications on AWS EKS with Istio, Argo CD, and Argo Workflows:
Canary deployment minimizes the risk associated with introducing new features or updates to the production environment. By initially releasing the changes to a small subset of users (the canary group), any potential issues or bugs can be identified early without impacting the majority of users.
Canary deployments help ensure the reliability of applications. By testing the new version under real-world conditions with a limited user base, developers can gather valuable feedback and address any performance or stability issues before a full release.
If the canary version shows unexpected behavior or performance degradation, a rollback is straightforward. Only a small percentage of users are affected, and the impact of the rollback is minimal.
Canary deployments provide an early feedback loop from real users. This allows development teams to understand how users interact with the new features, gather feedback, and make necessary improvements before scaling the changes to the entire user base.
Canary deployments allow for optimal resource utilization. By directing only a fraction of the traffic to the canary version, computing resources are not fully utilized, reducing any potential overload on the system in case of a production problem.
Users in the canary group experience a seamless transition to the new version. With Istio's traffic management capabilities, the transition can be smooth and controlled, ensuring minimal disruption to users.
Canary deployments enable development teams to iterate quickly and continuously improve their applications. This rapid iteration leads to faster innovation and the ability to respond promptly to market demands.
Canary deployments come with comprehensive monitoring and observability features. Tools like Prometheus and Grafana provide real-time visibility into the canary version's performance, making it easier to detect any anomalies or issues.
Canary deployments can be used to validate hypotheses about user behavior or performance improvements. For example, developers can test whether a specific algorithm change leads to better user engagement.
With the safety net of canary deployments, developers gain confidence in deploying changes to production. It encourages a culture of continuous integration and continuous deployment (CI/CD).
Canary deployment on AWS EKS with Istio, Argo CD, and Argo Workflows offers a powerful strategy for seamless application updates. By gradually rolling out changes to a subset of users, organizations can mitigate risks and gather early feedback, ensuring improved reliability and a smooth user experience.
The combination of Istio's traffic management, Argo CD's GitOps approach, and Argo Workflows' orchestration capabilities streamlines the canary deployment process. This combination empowers development teams to iterate quickly, respond to user feedback, and maintain a competitive edge.
Canary deployment fosters a culture of continuous improvement, encouraging data-driven decisions based on real user interactions. It optimizes resource utilization and instills confidence in deploying changes to production.
With its many benefits, canary deployment remains a key strategy for delivering high-quality cloud-native applications and staying ahead in the ever-evolving technology landscape.