![]() We’ll use FQDN, which will point to the load balancer… We would rebuild our cluster (unfortunately) with an important parameter “ –control-plane-endpoint“, which allows us to specify any IP or FQDN, which is used to build the cluster.Once we know what we are going to achieve, the question would be: “How can we achieve that?” Well, the plan would be the following: We are building on top of what we have completed in the previous blogpost, so we suggest you read that one first. highly available so that taking any control or worker node down doesn’t affect the cluster operation.What Are We Going to Achieve Today?Īt the end of the blogpost we would like to have a Kubernetes cluster that is: Provision underlying infrastructure to deploy a Kubernetes clusterĪs usual, we have expected that we would have an easy walk following the documentation from the official Kubernetes webpage.Manage a highly-available Kubernetes cluster.Brief DescriptionĪs we have stated in the previous blogpost, we will be mapping activities we are doing to the CKA blueprint to ensure that the content we create is useful for you in general to study Kubernetes or to do you job as Kubernetes engineer and helps to prepare to the Certified Kubernetes Administrator (CKA) exam. Such a mixture creates a unique learning environment, which all students value so much. And on top of that, each technology is provided with online demos and labs to master your skills thoroughly. That gives you opportunity to ask questions to understand the solutions in-depts and have discussions about your own projects. Moreover, we put all mentions technologies in the context of real use cases, which our team has solved and are solving in various projects in the service providers, enterprise and data centre networks and systems across the Europe and USA. Integration of alerting with Slack and your own APIs. ![]() Building API gateways with Python leveraging Fast API.Collection network data via SNMP and streaming telemetry with Prometheus.Orchestration of automation workflows with AWX and its integration with NetBox, GitHub, as well as custom execution environments for better scalability.Network automation infrastructure (Linux, Linux networking, KVM, Docker).The most rock-solid and functional tools for configuration management (Ansible) and Python-based automation frameworks (Nornir).Best programming languages (Python, Bash) for developing automation. ![]()
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