Kubernetes Microservices Module 2

with ELK/ElasticStack, Prometheus and Grafana.

Equivalent to 3 days of a live training course

In this second module we take our workload in to the cloud and deploy to a live AWS cluster.
Using the Kops tool, we manage the cluster from a simple command line with very little manual AWS work.
We set up monitoring and logging using the ELK/ElasticStack, with Prometheus and Grafana.
And we set up an alerting system which feeds into a Slack Channel.

Some previous experience of AWS will be useful, but all concepts are explained. Great care must be taken that you delete any resources as soon as you finish with them.

Having problems? check the errata

Introduction 2m 7s Welcome to the course.	Preview
Networking and Service Discovery 35m 21s How to use the DNS service in kubernetes	Preview
Cygwin users - how to fix the terminal problems 4m 52s Just if you're on cygwin, how to use "winpty" to get back a proper terminal emulation.	Watch
Introducing Microservices 25m 34s This material is borrowed from out earlier "Spring Boot Microservices" course, for anyone new to microservices	Preview
Deploying Microservices 62m 16s A large worked example where we build a workload definition for a small but representative microservice system	Watch
Persistence 43m 33s How to configure mount points. We show how a mongo database can be deployed as a pod.	Watch
Volumes 39m 39s Volumes represent physical storage. Covered are PersistentVolumeClaims and StorageClasses	Watch
Moving to AWS 62m 11s How to install kubernetes into your AWS account. Warning - you will be charged by Amazon for resources used in the rest of the course. The charges are small but if you neglect to delete your cluster you will incur ongoing (and high) bills.	Watch
Deploying a Workload to AWS 50m 51s Now we'll see what changes are needed to our workload definitions now that we're in the cloud.	Watch
Deleting the Cluster 6m 20s YOU MUST FOLLOW THIS CHAPTER BEFORE LEAVING THE COURSE! - We can't be responsible for any charges!	Watch
Restarting the Cluster 5m 34s If you return to the course and need to re-start a cluster, it's easy.	Watch
Logging with the ELK/ElasticStack 66m 9s How to apply cluster wide log monitoring with Fluentd, ElasticSearch and Kibana.	Watch
Monitoring 43m 12s Monitor the health of your system with Prometheus and Grafana. Also, how to install packages with Helm.	Watch
Alerts 43m 57s An introduction to how the AlertManager works. We'll also set up a slack channel integration.	Watch
Handling Alerts 17m 3s also in this chapter: what happens if a master node crashes?	Watch
Discovering a Real Problem 13m 2s There's a bug somewhere in the code - we find it through our monitoring system!	Watch
Goodbye 1m 57s Course close - brief mention of federation and highly available masters	Watch

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Kubernetes Microservices Module 2

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