Updated March 4, 2023
Introduction to Logstash Alternatives
Logstash is a method for the compilation, sorting, and creation of logs or events based on filter/pipes patterns. It allows centralization and interpretation of logs and incidents from multiple outlets in real-time. Logstash is written on the JRuby JVM programming language, so you can run Logstash on multiple platforms. It gathers various types of information from almost any source such as Records, Transfers, Packets, Incidents, Timestamp Data, etc.
Alternatives of Logstash
Let us discuss some alternatives of Logstash.
1. Kafka
Apache Kafka is a distributed community event streaming application that manages trillions of events every day. Initially built as a message queue, Kafka is a distributed commit log abstraction. Kafka has grown rapidly from a message queue to a complete event streaming network since it was developed and opened by LinkedIn in 2011. Confluent was developed by Apache Kafka’s initial designers and provides Kafka with Confluent Framework for the most complete delivery. Kafka’s Confluent Interface expands the broadcast experience of operators and developers in the development with additional social and commercial features.
2. Splunk
Splunk is a program that manages and offers insights into computer data and other broad data forms. CPUs running a Web server, IOT computer, and mobile app logs, create these data from the system. This data must not be supplied to end consumers and has no commercial value. However, the understanding, control and output optimization of the devices are highly significant. This unstructured, semi-organized, or occasionally structured knowledge can be read by Splunk. It makes the scan, tag, report, and dashboards on these data after reading the data.
3. Graylog
Graylog is characterized as the log processing framework for storing, indexing, and analyzing, from almost any source, both structured and unstructured data. Today most systems are located on various machines adopting a microservice architecture, with multiple microservices. It takes the user thus a lot of time to get logs on separate devices per time from each microservice. To prevent this we have an app named Graylog which works by setting up the logs of all microservices in a single location.
4. Elasticsearch
Elasticsearch is an open-source search and analysis engine distributed for all data types, including textual, numerical, geospatial, structure, and unstructured data. Based on the Apache Lucene, Elasticsearch N.V. was first published in 2010. (The Elastic, now known). Elasticsearch is a known component of the Elastic Stack, a collection of open-sourcing tools for data ingestion, enhancement, storage, analysis, and view, thanks to its plain, REST APIs, distributed design, scalability, and speed. Elastic Stack now contains a wealth of lightweight transport agents known as Beats to deliver data to Elasticsearch, generally referred to as the ELKStack.
5. Kafka
Apache Kafka has been developed in Scala and Java and is a distributed stream queuing framework, open-source. Apache Kafka is used in sequential order in the queue to post and subscribe messages. Kafka is a high performance, reliability, and replication feature, as a fast, scalable, and robust publishing subscriber messaging system with fault tolerance.
6. Filebeat
Filebeat helps to keep it easy by providing a slight way to transfer and centralize logs and data, so that SSH is unacceptable when you have multiple servers, virtual machines, and logging containers. Filebeat’s additional advantages include the ability to process vast quantities of files, support encryption, and manage backpressure effectively. Filebeat is basically a logging agent, which creates and sends the log files to Logstash for further processing or to elasticsearch for indexing on the computer.
7. Stackify
Stackify means that everyone operates properly. Our aim is to provide developers with the resources they need to enhance troubleshooting and track their generated applications and servers. For network and device managers conventional IT operating tools are built. Developers typically spend 30 percent of their time dealing with IT operations to repair apps. Developers actually have no tools to support their software effectively.
8. Flume
Apache Flume is a mechanism service/tool/data ingestion to collect and carry a great quantity of streaming data from different sources to a centralized data store such as log files and events (etc…). Flume is a tool with great reliability, distribution, and configuration. It is mainly designed to copy streaming information (log data) to HDFS from different web servers.
Conclusion
In this article, we have seen various alternatives to Logstash along with their features. I hope you will find this article helpful.
Recommended Articles
This is a guide to Logstash Alternatives. Here we discuss the introduction, various alternatives to Logstash along with their features. You may also have a look at the following articles to learn more –
