
In this lecture, we will discuss different types of data that you can see in an enterprise environment such as structured , unstructured , semi-structured data etc.
In this lecture , we will discuss the difference between a relational and non-relational database.
In this lecture, i will give you an overview of JSON.
In this lecture, i will give you an overview of Rest APIs.
In this lecture , i will introduce elasticsearch and how search is performed in elastic search.
In this lecture i will give you a birds eye view of elastic stack and all its components.
In this video we will setup our google cloud platform trial account that gives $300 USD in free trial credits which we will use to setup this demo lab.
In this lecture, we will setup basic network needed for our deployment.
In this video, we will create virtual machines in google cloud platform or GCP for our demo lab. We will do the following
1. Create instance templates
2. Create Virtual machines in public cloud using instances templates.
In lecture, we will install elastic stack on a single-node debian instance.
https://www.elastic.co/guide/en/elasticsearch/reference/current/install-elasticsearch.html
In this lecture, we will secure our elasticsearch cluster using x-pack security.
In this lecture , we will ingest some data into our cluster using Kibana integrations.
In this lecture, you will install elasticsearch version 8.x single node cluster.
In this lecture , you will deploy elastic agent and ship apache server logs to elasticsearch and then visualise these using kibana.
Hi
Welcome to my course Elastic Stack 101, a beginners guide to elastic stack , this is a hands on course with focus on deployment and management of elastics stack.
This course adopts a hands on approach towards learning and is focused towards
DevOps professionals who will be responsible to deploy and manage elasticsearch clusters
IT Support engineers that will be responsible for supporting elastic stack deployments
and it might benefit software developers if they need an understanding of how Elasticsearch clusters are deployed and managed
In this course , we will start with some basics such as what are the different types of data that you will encounter in an enterprise environment and then we will look at the difference between relational and non-relational databases before moving on to have an understanding of JSON and Rest APIs.
After you have the pre-requisite knowledge which is essential if you want to work on elastic search we will look at elastic search and elastic stack from a birds eye view and then it is time to get your hands dirty, first we will setup our lab environment and then we will look at how you can provision an elastic search cluster in different ways , we will follow this up by adding some data into our cluster through kibana integrations and have a general feel of kibana. Next , we will look at Logstash an essential component of elastic stack if you want to transform your data and ingest some csv data by using Logstash pipelines.
In the final section we will look at what's changed in elasticsearch version 8 and then deploy v8 cluster on a single node.
Finally , we will install elastic agent which is a single agent needed to ship any type of logs from your applications servers to Elasticsearch.