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LogDNA
LogDNA

51
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Logstash
Logstash

2.7K
1.9K
+ 1
95
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LogDNA vs Logstash: What are the differences?

LogDNA: Easy beautiful logging in the cloud. The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app; Logstash: Collect, Parse, & Enrich Data. 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.

LogDNA and Logstash can be primarily classified as "Log Management" tools.

Some of the features offered by LogDNA are:

  • Aggregate Logs & Analyze Related Events
  • Easy Setup in Minutes
  • Powerful Search & Alerts

On the other hand, Logstash provides the following key features:

  • Centralize data processing of all types
  • Normalize varying schema and formats
  • Quickly extend to custom log formats

"Easy setup" is the primary reason why developers consider LogDNA over the competitors, whereas "Free" was stated as the key factor in picking Logstash.

Logstash is an open source tool with 10.3K GitHub stars and 2.78K GitHub forks. Here's a link to Logstash's open source repository on GitHub.

- No public GitHub repository available -

What is LogDNA?

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

What is Logstash?

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.
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What are some alternatives to LogDNA and Logstash?
Splunk
Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
ELK
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
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.
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.
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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Decisions about LogDNA and Logstash
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Interest over time
Reviews of LogDNA and Logstash
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How developers use LogDNA and Logstash
Avatar of Blue Kangaroo
Blue Kangaroo uses LogstashLogstash

Data ingestion, manipulation and re-pushing to other services.

Avatar of Tongliang Liu
Tongliang Liu uses LogstashLogstash

Log aggregation from tons of production servers.

Avatar of douglasresende
douglasresende uses LogstashLogstash

I use to manager logs of any applications.

Avatar of Tom Staijen
Tom Staijen uses LogstashLogstash

Move logs from RabbitMQ to ElasticSearch.

Avatar of JosephYeo
JosephYeo uses LogstashLogstash
  • 효율적으로 elastcsearch에 연결해주는 방법
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