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 devopsian.net
A deep dive to Canary Deployments with Flagger, NGINX and Linkerd on Kubernetes
| | earthly.dev
Using Canary Deployments in Kubernetes - Earthly Blog
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| | Learn how to use canary deployments in Kubernetes to mitigate the risks of application updates and ensure zero downtime for your users. This articl...
| | vadosware.io
Serving HTTP Applications on Kubernetes with Ingress
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| | How I went about setting up a HTTP application on Kubernetes, with Ingress
| | sookocheff.com
Supporting disaster recovery with a multi-region EKS deployment | Kevin Sookocheff
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| | Disaster events are one of the biggest challenges that a software organization can face. Natural disasters like earthquakes or floods, technical failures such as power or network loss, and human actions such as unauthorized attacks can disable an entire fleet of systems, leading to complete failure for a business. To deal with disaster scenarios requires a proactive approach to prepare and recover from failure. One of the key benefits of running in the cloud is how easy it is to run workloads in multiple regions. This allows you to deploy a resilient architecture that supports disaster recovery, even in the cases where an entire region is disabled.
| | arveknudsen.com
Installing Elasticsearch/Kibana 5.5 within Kubernetes cluster on AWS | Arve Knudsen's Blog
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| In my previous blog post I showed how to use the Kops tool to create a production ready Kubernetes cluster on Amazon Web Services (AWS). In this follow-up post I will show how to install Elasticsearch and its graphical counterpart Kibana in the cluster, in order to be able to collect and store logs from your cluster and search/read them. We will also install Fluentd as this component is responsible for transmitting the standard Kubernetes logs to Elasticsearch. This is generally known as the ELK stack, which stands for Elasticsearch, Logstash (precursor to Fluentd) and Kibana.