elastic elk stack : This type of Elasticsearch API allows users to manage indices, mappings, and templates. - debbiebissett.com

This type of Elasticsearch API allows users to manage indices, mappings, and templates. For example, you can use this API to create or delete a new index, check if a specific index exists or not, and define a new mapping for an index.

One of the things that makes Logstash so powerful is its ability to aggregate logs and events from various sources. Using more than 50 input plugins for different platforms, databases and applications, Logstash can be defined to collect and process data from these sources and send them to other systems for storage and analysis.

Elastic is prepping for Elasticsearch 8.0, but in the meantime is rolling out upgrades and features with...

It has not always been smooth sailing for Logstash. Due to some inherent performance issues and design flaws, Logstash has received a decent amount of complaints from users over the years. Side projects were developed to alleviate some of these issues (e.g. Lumberjack, Logstash-Forwarder, Beats), and alternative log aggregators began competing with Logstash.

If you need to check specific number of logs, you can use the tail option. E.g to get the last 50 log lines;

Filters can be combined with conditional statements to perform an action if a specific criterion is met.

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale. The service offers support for Elasticsearch APIs, built-in Kibana, and integration with Logstash, so you can continue to use your existing tools and code – without worrying about operational overhead.

Elasticsearch is the living heart of what is today the world’s most popular log analytics platform — the ELK Stack (Elasticsearch, Logstash, and Kibana). The role played by Elasticsearch is so central that it has become synonymous with the name of the stack itself. Used primarily for search and log analysis, Elasticsearch is today one of the most popular database systems available today.

Elasticsearch plugins extend the platform's functionality. Here's some basic tips and tricks from how to install them...

With millions of downloads for its various components since first being introduced, the ELK Stack is the world’s most popular log management platform. In contrast, Splunk — the historical leader in the space — self-reports 15,000 customers in total.

A search engine at heart, users started using Elasticsearch for logs and wanted to easily ingest and visualize them. Enter Logstash, the powerful ingest pipeline, and Kibana, the flexible visualization tool.

Security has always been crucial for organizations. Yet over the past few years, because of both an increase in the frequency of attacks and compliance requirements (HIPAA, PCI, SOC, FISMA, etc.), employing security mechanisms and standards has become a top priority.

Beats are a collection of open source log shippers that act as agents installed on the different servers in your environment for collecting logs or metrics. Written in Go, these shippers were designed to be lightweight in nature — they leave a small installation footprint, are resource efficient, and function with no dependencies.

There are many different Beats applications. For example, Filebeat is used to collect log files, while Packetbeat is used to analyze network traffic.

Java is a well-established object-oriented programming language that epitomizes cross-platform software development and helped to popularize the...

The various beats are configured with YAML configuration files. YAML being YAML, these configurations are extremely syntax sensitive. You can find a list of tips for writing these files in this article, but generally speaking, it’s best to handle these files carefully — validate your files using an online YAML validator, makes use of the example files provided in the different packages, and use spaces instead of tabs.

The ELK Stack is awesome for centralized logging and monitoring, but one simple query can bring down...

In this ELK example, we learned to configure ELK stack and the saw how we can point our application log files to ELK and view and analyze logs in Kibana. I will suggest you to play with configurations and share your learnings with us. e.g.