Advanced Kubernetes Operations
In the Advanced Kubernetes Operations class, operations staff will learn many of the tools and patterns needed to run a Kubernetes cluster in production. This course is targeted at advanced Kubernetes users tasked with operational responsibilities such as logging, monitoring, alerting, continuous and progressive continuous deployments, as well as cluster bootstrapping, maintenance, backups and disaster recovery. Advanced Kubernetes Operations is a pattern driven course, exploring the powerful patterns of Kubernetes Operators and gitops which can be used across a wide variety of toolchains.
Objetivos
Cloud computing
Disponible en formato e-learning
Disponible en formato presencial
Disponible en formato a distancia
Subvención disponible
A través de Fundae, cumpliendo requisitos.
Duración
10 horas
- Dificultad 50%
- Nivel alcanzado 80%
Dirigido a
Infrastructure/Deployment Engineers, Cloud Architects
Conocimientos requeridos
Attendees should meet the following prerequisites:
Familiarity with the Bash shell
Filesystem navigation and manipulation
Command line text editors like vim or nano
Common tooling like curl, wget and ping
Familiarity with YAML and JSON notation
Mastery of basic to intermediate Kubernetes tools, like pods, controllers, services and persistent storage
Pre-requisitos:
CN220 – Kubernetes Operations
Temario
Kubernetes in production
What sort of considerations apply to production-grade clusters?
Bootstrapping Kubernetes
Kubernetes architecture review
Sizing Kubernetes clusters
Kubernetes networking requirements review
Kubernetes high availability
Stacked versus external Kubernetes masters
Core Kubernetes networking components
Bootstrapping Kubernetes with Kubespray
Image Registries
Popular Image Registries comparison
DTR vs Harbor architecture
Security scanning in image registries
Mitigating man-in-the-middle attacks with content trust
Supporting continuous integration with webhooks and image promotion
Application Resilience
Instrumenting Kubernetes applications with healthchecks
Constraining CPU and memory consumption
Imposing podDisruptionBudgets to ensure application HA
Packaging Kubernetes applications with Helm
Logging and Monitoring Kubernetes
Selecting logging architectures for Kubernetes
Deploy and configure the EFK logging stack, and use it to browse container logs
Create Kube-native application monitoring using the Kube operator pattern
Deploy and manage Prometheus, Grafana and Alertmanager via the Prometheus operator
Use PromQL to query and consume Prometheus metrics in alarms and visualizations
Deployment Strategies in Kubernetes
Implement a gitops deployment pipeline using Flux
Implement blue / green deployments using native Kubernetes
Implement canary deployments using Istio
Backups and Disaster Recovery
Create and schedule Kube backups using Velero
Form a disaster recovery plan for your Kube cluster
Perform a cluster upgrade after backing up and preparing for disaster
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