Cortex VS influxdb-apply

Compare Cortex vs influxdb-apply and see what are their differences.

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Cortex influxdb-apply
4 1
1,249 0
2.9% -
4.9 0.0
3 months ago about 4 years ago
Scala Python
GNU Affero General Public License v3.0 MIT License
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.

Cortex

Posts with mentions or reviews of Cortex. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-01.

influxdb-apply

Posts with mentions or reviews of influxdb-apply. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-01.
  • Launch HN: Opstrace (YC S19) – open-source Datadog
    11 projects | news.ycombinator.com | 1 Feb 2021
    Yes, `apply` is hard. It's just as hard as deploying, maintaining, and turning down a service. When adding an `apply` command to a devops tool, the tool authors must think through the entire lifecycle of their service in the user's workflow and make it work well.

    The tool creators are the ones with the knowledge to figure these things out. If they don't provide `apply`, then users must research and experiment and learn by making mistakes. This is a colossal waste of effort. Users end up with brittle poorly-documented scripts to do all the things that `apply` would do. These scripts cause ongoing waste of engineering effort, customer frustration from downtime, and lost business growth and revenue.

    I spent several weeks making `apply` commands for InfluxDB [0] and Grafana. This proved extremely difficult for Grafana because of deficiencies in its API. Both InfluxDB and Grafana need some work to make them fit into a modern infrastructure-as-code ops environment. Grafana's cofounder and product lead were not interested in my feedback [1] [2].

    [0] https://github.com/cozydate/influxdb-apply

    [1] https://news.ycombinator.com/item?id=23136582

    [2] https://news.ycombinator.com/item?id=23233468

What are some alternatives?

When comparing Cortex and influxdb-apply you can also consider the following projects:

IntelOwl - IntelOwl: manage your Threat Intelligence at scale

loki - Like Prometheus, but for logs.

Kuiper - Digital Forensics Investigation Platform

veneur - A distributed, fault-tolerant pipeline for observability data

catalyst - Catalyst is an open source SOAR and ticket system that helps to automate alert handling and incident response processes

cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.

dfir-orc - Forensics artefact collection tool for systems running Microsoft Windows

opstrace - The Open Source Observability Distribution

ThePhish - ThePhish: an automated phishing email analysis tool

opencti - Open Cyber Threat Intelligence Platform