Azure DevOps Login: Your Guide to Secure and Effortless Access
Azure DevOps is a powerful suite of tools that help teams streamline their software development lifecycle. In this article, we’ll take a deep dive into Azure DevOps, exploring the background of DevOps, Azure, and the login process. We’ll also discuss why logins fail on Azure and provide workarounds, alternatives,...
Elasticsearch: Handling the Illegal_Argument_Exception – Field Name is Null or Empty
Elasticsearch is a powerful, distributed search and analytics engine that makes it easy to work with large volumes of data. However, as with any software, you may encounter some exceptions when working with Elasticsearch. One common issue is the illegal_argument_exception with a “field name is null or empty” message....
DevOps and Jenkins: The Power of Continuous Integration
What is DevOps? DevOps is a set of practices that combines software development and IT operations to shorten the development lifecycle and deliver high-quality software more frequently. The term DevOps is derived from the words “development” and “operations,” representing the collaboration between these teams throughout the software development process....
Elasticsearch Maps and Templates: How they work
Elasticsearch is an open-source search and analytics engine that allows you to store, search, and analyze large volumes of data in real-time. Elasticsearch Maps and Templates are two powerful tools that can help you manage their data and make the most of Elasticsearch’s capabilities. What are Elasticsearch Maps? Elasticsearch...
Using Elasticsearch as the Backend of a Logging System
Elasticsearch is a powerful search and analytics engine that is commonly used in logging systems to store and search through logs generated by various applications and systems. In this article, we will explore how it can be used in a logging system, including how to set it up, how...
The 10 Best Use Cases for Elasticsearch
Elasticsearch is a powerful search engine and analytics platform used by many organizations to store, search, and analyze large volumes of data. It provides fast, scalable, and accurate search results that can be customized to meet the specific needs of your business. Here are the top 10 use cases...
How-To Use Elasticsearch, Logstash, and Kibana for Centralized Logging
As a system administrator or developer, it’s important to have a centralized logging infrastructure in place. It allows you to easily monitor your applications and systems, troubleshoot issues, and analyze data. In this article, we’ll guide you through the process of setting up Elasticsearch, Logstash, and Kibana (ELK stack)...
Centralized Logging with Elasticsearch Clusters
Centralized logging is the process of collecting logs from different sources, storing them in a central location, and analyzing them to gain insights into system performance, errors, and security issues. This approach makes it easy for developers and IT personnel to monitor their systems effectively without having to jump...
Elasticsearch Analyzers for Beginners
Elasticsearch is a powerful search engine that allows you to store, search, and analyze large amounts of data quickly and efficiently. One of the key features of Elasticsearch is its ability to use analyzers to process text before it’s indexed. In this article, we’ll explain what analyzers are and...
Remove Elasticsearch Node
Example assumes the node IP Address is 172.21.1.21 and that you have jq installed. If you do not have jq remove | jq . from the commands. Expand the number of shards that can be reallocated Choose settings appropriate for your hardware and network resources. There’s no magic bullet here. You’ll have to do some...