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Elastic Stack Guide Part – 2 (Heartbeat)

In the previous blog, we mainly discussed Filebeat and Metricbeat along with exploring the system module. In this blog, we will see the usage of heartbeat and how to monitor the services using heartbeat. 

Heartbeat should not be installed on each server you monitor, it should be installed on some separate servers from which you can monitor all url’s/services. For example, we have one server deployed at x.x.x.x:8000 at some server in AWS in the north region, then we can install heartbeat in our four servers in each region(north, south, east, west) of AWS and can monitor this server from all the servers to check whether services are UP from all India. 

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5 Kibana Visualizations To Spice Up Your Dashboard

If you work in any way that is adjacent to data, insight, and analytics, there’s a good chance you will at least have heard of Kibana. If you haven’t then there’s no better time to be jumping on the bandwagon.

An open-source app, Kibana caters perfectly to any enterprise that needs to incorporate data discovery, navigation, and visualization. So long is the list of features and benefits that it’s impossible to cover them all in a single article. Tools like Kibana Lens showcase this beautifully. 

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Docker Centralized Logging With ELK Stack

As your infrastructure grows, it becomes crucial to have a reliable centralized logging system. Log centralization is becoming a key aspect of a variety of IT tasks and provides you with an overview of your entire system.

The best solution is to aggregate the logs from all containers, which is enriched with metadata so that it provides you with better traceability options and comes with awesome community support. This is where the ELK Stack comes into the picture. ELK, also known as the Elastic stack, is a combination of modern open-source tools like ElasticSearch, Logstash, and Kibana. It is a complete end-to-end log analysis solution you can use for your system.

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Capture IoT Devices Data Via RabbitMQ

Introduction

The purpose of this article is to give you an overview of how to capture events from MQTT enabled IoT sensors/devices and monitors it via ELK stack.

After capturing events, you could either store it in event-stores or in time-series database for further processing.

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Sprinkle Some ELK on Your Spring Boot Logs

 

One day, I heard about the ELK stack and about its advantages, so I decided to get my hands on it. Unfortunately, I struggled to find solid documentation and supplemental content on getting started. So, I decided to write my own.

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Elastic Search @ 6.4.3

Elastic - 6.4.3

Working with Elastic is quite fun. You can simply use a query string URL or compose a Java program using the Java high-level/low-level client to consume and return the results.

In this blog, I am going to write a simple Java service that will expose a specific computation on top of an elastic search query. You can read more at the elastic.io

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Server Monitoring With Logz.io and the ELK Stack

In a previous article, we explained the importance of monitoring the performance of your servers. Keeping tabs on metrics such as CPU, memory, disk usage, uptime, network traffic, and swap usage will help you gauge the general health of your environment as well as provide the context you need to troubleshoot and solve production issues.

In the past, command line tools, such as top, htop, or nstat, might have been enough, but in today’s modern IT environments, a more centralized approach for monitoring must be implemented.