Logstash vs Sysdig

Overview

Logstash

Stacks12.3K

Followers8.8K

Votes103

GitHub Stars14.7K

Forks3.5K

Sysdig

Stacks80

Followers150

Votes15

GitHub Stars8.1K

Forks748

Logstash vs Sysdig: What are the differences?

Introduction:

Logstash and Sysdig are both powerful tools used in log management and monitoring. However, they have some key differences that set them apart in terms of their functionalities and features.

1. Data Processing: Logstash is a tool that excels in data processing and transformation capabilities, allowing users to collect, parse, and enrich log data before sending it to a centralized storage repository. On the other hand, Sysdig focuses more on container visibility and monitoring, providing insights into container performance metrics and security data.

2. Data Sources: Logstash supports a wide range of data sources, including logs, metrics, web data, and more. It can ingest data from various input plugins and process it before sending it to output plugins. In contrast, Sysdig primarily focuses on monitoring data generated within containers and orchestrators, providing detailed insights into application and infrastructure performance within these environments.

3. Scalability: Logstash is highly scalable and can be distributed across multiple nodes to handle large volumes of data efficiently. It enables parallel data processing and can be configured to scale horizontally as the data load increases. Sysdig, on the other hand, is more tailored towards monitoring containerized environments and may not be as scalable for general log management purposes.

4. Querying and Visualization: Logstash primarily focuses on data processing and transformation, leaving querying and visualization tasks to other tools such as Elasticsearch and Kibana. In contrast, Sysdig offers built-in querying and visualization capabilities, allowing users to explore and analyze container data within the Sysdig monitoring platform.

5. Security Monitoring: Sysdig includes security monitoring features that can detect and respond to security threats within containerized environments. It provides insights into security events, anomalies, and vulnerabilities, helping users to secure their containerized infrastructure. Logstash, on the other hand, may require additional plugins or integrations for advanced security monitoring capabilities.

6. Deployment Complexity: Logstash can be complex to set up and configure, requiring users to define input, filter, and output configurations for data processing. In comparison, Sysdig is designed to be more user-friendly and streamlined for monitoring container environments, making it easier to deploy and get insights quickly.

In Summary, Logstash excels in data processing and flexibility, while Sysdig focuses on container monitoring, security, and visualization within containerized environments.

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Advice on Logstash, Sysdig

Raja Subramaniam

Aug 27, 2019

Needs adviceon

Prometheus

Kubernetes

Sysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

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Comments

Detailed Comparison

Logstash	Sysdig
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.	Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source	Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Statistics
GitHub Stars 14.7K	GitHub Stars 8.1K
GitHub Forks 3.5K	GitHub Forks 748
Stacks 12.3K	Stacks 80
Followers 8.8K	Followers 150
Votes 103	Votes 15
Pros & Cons
Pros 69 Free 18 Easy but powerful filtering 12 Scalable 2 Kibana provides machine learning based analytics to log 1 Well Documented Cons 4 Memory-intensive 1 Documentation difficult to use	Pros 5 Powerful web app 5 Monitoring 5 Easy setup
Integrations
Kibana Elasticsearch Beats	Docker

What are some alternatives to Logstash, Sysdig?

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

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Logstash vs Sysdig: What are the differences?

Introduction:

Logstash and Sysdig are both powerful tools used in log management and monitoring. However, they have some key differences that set them apart in terms of their functionalities and features.

In Summary, Logstash excels in data processing and flexibility, while Sysdig focuses on container monitoring, security, and visualization within containerized environments.