updated article (#1758)

blog/2023-01-28-open-source-log-management.md

@@ -1,7 +1,7 @@
 ---
 title: 7 Open-Source Log Management Tools that you may consider in 2024
 slug: open-source-log-management
-date: 2024-05-13
+date: 2024-05-24
 tags: [Tools Comparison]
 authors: [daniel]
 description: Top open source log management tools in 2024 1.SigNoz 2.Graylog 3.Logstash 4.FluentD 5.Syslog-ng...
@@ -18,6 +18,8 @@ keywords:
   <link rel="canonical" href="https://signoz.io/blog/open-source-log-management/"/>
 </head>
 
+import GetStartedSigNoz from '../docs/shared/get-started-signoz.md';
+
 Effective log management is a fundamental aspect of maintaining and troubleshooting today's complex systems and applications. The sheer volume of data generated by various software and hardware components can make it challenging to identify and resolve issues in a timely manner.
 
 <!--truncate-->
@@ -88,8 +90,8 @@ Capable of handling high volumes of data and heavy loads while maintaining good
 However, it can be used in conjunction with other tools such as SigNoz and <a href = "https://www.elastic.co/kibana/" rel="noopener noreferrer nofollow" target="_blank" >Kibana</a> to create and share interactive visualizations and dashboards of log data collected by Logstash. You can find docs on how to send data collected by Logstash to SigNoz [here](https://signoz.io/docs/userguide/logstash_to_signoz/).
 
 <figure data-zoomable align='center'>
-    <img src="/img/blog/2023/01/kibana.webp" alt="Search for logs with a particular indexed pattern sent from Logstash in Kibana"/>
-    <figcaption><i>Search for logs with a particular indexed pattern sent from Logstash in Kibana</i></figcaption>
+    <img src="/img/blog/2023/01/logstash.webp" alt="Search for logs with a particular indexed pattern sent from Logstash in Kibana"/>
+    <figcaption><i>Events received and sent by Logstash in Kibana dashboard</i></figcaption>
 </figure>
 
 <br></br>
@@ -113,8 +115,8 @@ In addition to its robust data collection and processing capabilities, Graylog a
 Graylog supports multiple data inputs and outputs, it can collect data from various sources such as Syslog, GELF, log files, and Windows Event Log, and it can output data to other systems such as Elasticsearch, Apache Kafka, and more.
 
 <figure data-zoomable align='center'>
-    <img src="/img/blog/2023/01/graylog.webp" alt="Search configuration in Graylog"/>
-    <figcaption><i>Search configuration in Graylog</i></figcaption>
+    <img src="/img/blog/2023/01/graylog.webp" alt="Search for a particular log in Graylog"/>
+    <figcaption><i>Log search in Graylog dashboard</i></figcaption>
 </figure>
 
 <br></br>
@@ -129,15 +131,17 @@ Some key features of Graylog are;
 - Scalability
 - Multi-data inputs and outputs
 
-## FluentD
+## Fluentd
 
 <a href = "https://www.fluentd.org/" rel="noopener noreferrer nofollow" target="_blank" >Fluentd</a> is a powerful log management tool that offers organizations the flexibility and scalability required to handle large volumes of log data from a variety of sources and transport it to various destinations. Utilizing a flexible and modular architecture, Fluentd allows users to easily add new input and output plugins to integrate with a wide range of systems and applications. It supports a wide range of data sources and destinations, including databases, message queues, and data stores.
 
 Fluentd has a built-in buffering mechanism that enables it to handle temporary failures in the output destination, ensuring that data is not lost. Users can filter, buffer and format log data using the built-in filters and parsers before sending it to the output destinations.
 
+Fluentd has a browser-based UI tool called [Fluentd UI](https://docs.fluentd.org/deployment/fluentd-ui) that allows you view Fluentd logs with a simple error viewer. You can also choose to send the logs to Elasticsearch and visualize with Kibana, or create a custom dashboard with any visualization tool that support Fluentd.
+
 <figure data-zoomable align='center'>
-    <img src="/img/blog/2023/01/fluentd.webp" alt="Logs Overview in FluentD"/>
-    <figcaption><i>Logs Overview in FluentD</i></figcaption>
+    <img src="/img/blog/2023/01/fluentd.webp" alt="Logs Overview in FluentD UI tool"/>
+    <figcaption><i>Logs Overview in Fluentd UI</i></figcaption>
 </figure>
 
 <br></br>
@@ -194,23 +198,30 @@ Some key features of Logwatch:
 - Summary of system activity, security events, and potential problems
 - Ability to filter out specific log entries
 
-## Apache Flume
+## Grafana Loki
 
-<a href = "https://flume.apache.org/" rel="noopener noreferrer nofollow" target="_blank" >Apache Flume</a> is an open-source log management tool designed to efficiently collect, aggregate, and transport large volumes of log data from various sources to a centralized data store, such as HDFS or Hbase. It excels in handling large amounts of log data in real-time and is highly scalable, able to handle the load from multiple servers, network devices, and applications.
+<a href = "https://grafana.com/oss/loki" rel="noopener noreferrer nofollow" target="_blank" >Grafana Loki</a> is an open-source, horizontally scalable, multi-tenant log aggregation system developed by Grafana Labs. Loki is inspired by Prometheus, designed to be cost-effective and easy to operate.
 
-In terms of log management, Apache Flume offers features such as data collection, transportation, aggregation, fault tolerance, and delivery guarantee. It also boasts a plugin-based architecture, allowing organizations to easily add new sources and sinks as needed, facilitating integration with other log management tools and systems, and enabling the addition of new log sources. Additionally, it is straightforward to set up and configure and provides a web-based interface for monitoring and managing log data.
+Loki utilizes label-based indexing, where logs are indexed based on associated key-value pairs (labels) rather than their full content. This approach significantly reduces storage requirements and accelerates the ingestion of large log volumes. In addition, retrieval of log data is faster as it only involves searching through labels, not the entire text.
 
-Some key features of Apache Flume are;
+However, this design choice leads to a limitation in **full-text search capabilities**. While Loki allows searching within labels, it cannot perform arbitrary searches across the entire log content.
 
-- Log data collection and transportation
-- Data aggregation
-- Centralized data storage
-- Fault-tolerance and delivery guarantee
-- Scalable
-- Plugin-based architecture
-- Web-based interface
-- Real-time log data processing
-- Integration with other log management tools and systems
+<figure data-zoomable align='center'>
+    <img src="/img/blog/2023/01/loki.webp" alt="Collecting and viewing log files from Loki in Grafana"/>
+    <figcaption><i>Log Monitoring in Grafana Loki </i></figcaption>
+</figure>
+
+<br></br>
+
+Some key features of Loki are;
+
+- LogQL for log query and filtering.
+- Real-time log visualizations and querying through Grafana.
+- Label-based Indexing.
+- Scalable.
+- Native integration with Prometheus, Grafana, and K8s.
+- Cost-effective and durable log storage.
+- Multi-tenancy support.
 
 ## Choosing the right Log Management Tool
 
@@ -222,28 +233,12 @@ SigNoz is open-source and cost-effective for organizations. It is built to suppo
 
 ## Getting started with SigNoz
 
-SigNoz can be installed on macOS or Linux computers in just three steps by using a simple install script.
-
-The install script automatically installs Docker Engine on Linux. However, on macOS, you must manually install <a href = "https://docs.docker.com/engine/install/" rel="noopener noreferrer nofollow" target="_blank" >Docker Engine</a> before running the install script.
-
-```bash
-git clone -b main https://github.com/SigNoz/signoz.git
-cd signoz/deploy/
-./install.sh
-```
-
-You can visit our documentation for instructions on how to install SigNoz using Docker Swarm and Helm Charts.
-
-[![Deployment Docs](/img/blog/common/deploy_docker_documentation.webp)](https://signoz.io/docs/install/)
-
-If you liked what you read, then check out our GitHub repo 👇
-
-[![SigNoz GitHub repo](/img/blog/common/signoz_github.webp)](https://github.com/SigNoz/signoz)
+<GetStartedSigNoz />
 
 ---
 
 **Related posts**
 
 [Log Monitoring 101 Detailed Guide](https://signoz.io/blog/log-monitoring/)
 
-[Top Log Monitoring tools in spotlight](https://signoz.io/blog/log-monitoring-tools/)
+[Top Log Monitoring tools in spotlight](https://signoz.io/blog/log-monitoring-tools/)