Octopussy VS heka

Compare Octopussy vs heka and see what are their differences.

Octopussy

Octopussy - Open Source Log Management Solution (by Octopussy-Project)

heka

DEPRECATED: Data collection and processing made easy. (by mozilla-services)
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Octopussy heka
- -
151 3,399
2.0% -
0.0 0.0
over 3 years ago 3 months ago
Perl Go
GNU General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Octopussy

Posts with mentions or reviews of Octopussy. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Octopussy yet.
Tracking mentions began in Dec 2020.

heka

Posts with mentions or reviews of heka. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning heka yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Octopussy and heka you can also consider the following projects:

graylog - Free and open log management

toxiproxy - :alarm_clock: :fire: A TCP proxy to simulate network and system conditions for chaos and resiliency testing

Logstash - Logstash - transport and process your logs, events, or other data

Fluentd - Fluentd: Unified Logging Layer (project under CNCF)

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

Flume - Mirror of Apache Flume

Sending your docker logs - Sending logs from docker containers to Logit.io

Gor - GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.