Introduction As a developer, you need to log everything it may be info, error or debug logs, etc. There are multiple types of log formats like Common log, JSON log, etc. and there are already solutions available in an elastic stack like filebeat to read JSON logs and push them to elasticsearch. There can be cases where you need to log the data according to your convenience which will not be any standard log format....
Introduction In this blog, we will try to understand how “Search as you type” works and Quickly setup one demo using some sample data. You must have seen various websites like eCommerce, food apps, etc. where you just start typing & simultaneously relevant options start displaying as suggestions and autocomplete. We will try to achieve somewhat the same feature. Search as you type Elasticsearch gives this specific mapping type which you can simply set to a specific field where you want to perform this kind of search....
Introduction In the talk, Quickly showed how you can use the metricbeat to check system health. With a few clicks, you can start monitoring your infra. Another demo shows, How you can parse your custom unstructured logs to Elasticsearch. There is some utility already available for predefined logs format like json, apache, nginx and system logs etc. But if you have different requirement where you need to parse a different types of log format , You can parse using Grok processor ....
Introduction What this talk is all about ? The purpose of the talk is to give a short overview of Elastic solutions & Elastic stacks. In the demo shown, how you can deploy elasticsearch instance on Microsoft Azure. Also, it gives an idea to use the elastic cloud to manage the elasticsearch instance which deployed on the Azure cloud. You can also create deployment on elastic cloud (cloud.elastic.co ). In the demo, Successfully shipped the metric data of the local system (my MacBook) to the newly deployed elasticsearch instance and explored the dashboard on kibana....
Goal of this blog In this blog, I am going to show you how easily we can write logs to the files in Golang. As well as we are going to store all logs on elasticsearch with EKB (Elasticsearch, Kibana, Beats). Why ELKB stack ? Logs are very important for debugging, reporting, insights etc. In today’s tech world, We uses multiple cloud servers, private servers etc. Which consist of lots of different applications, scripts, programs, daemons, services and they generate their logs too....