Zabbix VS Quickwit

• Open-source
  Zabbix is free and open-source, allowing for extensive customization and modification to meet specific needs without licensing costs.
• Scalability
  Zabbix can handle a large number of devices and data points, making it suitable for both small businesses and large enterprises.
• Comprehensive Monitoring
  Zabbix offers a wide range of monitoring capabilities including servers, networks, cloud services, and applications.
• Alerting and Notification
  It provides robust alerting mechanisms, allowing notifications via email, SMS, and other methods.
• Flexible Configuration
  The system allows for detailed and flexible configuration, accommodating various specific monitoring requirements.
• Extensive API
  Zabbix comes with a comprehensive API that allows for integration with third-party tools and custom automation scripts.
• Strong Community Support
  As an open-source project, Zabbix has a strong community that can provide support and share best practices.

Possible disadvantages

• Complex Setup and Configuration
  Initial setup and configuration can be complicated and time-consuming, often requiring a steep learning curve.
• Resource Intensive
  Zabbix can be resource-intensive, particularly on the database side, which might require substantial hardware resources for large deployments.
• User Interface
  The user interface is considered less modern and user-friendly compared to some commercial alternatives.
• Documentation
  While comprehensive, the documentation can sometimes be difficult to navigate for new users.
• Maintenance Effort
  Ongoing maintenance, such as updates and troubleshooting, can be labor-intensive.
• Dependency on MySQL
  The heavy reliance on MySQL databases can be a disadvantage for users preferring other database technologies.
• Initial Costs for Large Scale Deployments
  Although the software is free, the costs associated with setting up and maintaining the necessary infrastructure and hardware can be significant, especially for larger deployments.

• Scalability
  Quickwit is designed to handle large-scale data and can efficiently manage data distribution across multiple nodes.
• Fast Ingestion
  It supports quick data ingestion, which makes it suitable for applications requiring real-time or near-real-time data processing.
• Efficient Querying
  Optimized for fast search operations which can significantly reduce the time required to query large datasets.
• Open Source
  Being open source, Quickwit allows users to contribute to the code base, customize it according to their needs, and avoid vendor lock-in.
• Lower Resource Usage
  Designed to be memory-efficient, Quickwit minimizes resource consumption compared to other search tools.

Possible disadvantages

• Maturity
  As a relatively new project, Quickwit may not be as mature as other well-established search platforms, which can affect stability and feature set.
• Community Support
  It may have a smaller community compared to other open-source search engines, which can limit resources for troubleshooting and community engagement.
• Limited Ecosystem
  The ecosystem of plugins and integrations might be limited compared to more established platforms like Elasticsearch.
• Learning Curve
  New users or those accustomed to other technologies might face a learning curve in understanding and implementing Quickwit’s functionalities.

No analysis of Quickwit yet.

An overview of Zabbix 4.0 and how we are using it.

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• Learning Resources

  Official Zabbix trainings, documentation on zabbix.com ? Source: about 4 years ago

• zabbix installation

  Hallo, do you know a howto to install zabbix on an ubuntu 20.04 ? I tried the manuals from zabbix.com for MySQL Apache but it didn't work. Source: over 4 years ago

• How I am getting experience as a linux admistrator (Follow Up)

  He suggested that I indeed should set up a home-lab. To be specific he said that I should create a minimal install of Centos 8 and install zabbix server on it (https://zabbix.com) and monitor a whole bunch of other VMs, services and... Source: over 4 years ago

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• HorizonDB, a geocoding engine in Rust that replaces Elasticsearch

  Nice... it's cool to see how different companies are putting together best fit solutions. I'm also glad that they at least started out with off the shelf apps instead of jumping to something like a bespoke solution early on. Quickwit[1]... - Source: Hacker News / about 1 year ago

• Tantivy – full-text search engine library inspired by Apache Lucene

  Https://github.com/quickwit-oss/quickwit to_tsvector in PG never worked well for my use cases SELECT * FROM dump WHERE to_tsvector('english'::regconfig, hh_fullname) @@ to_tsquery('english'::regconfig, 'query'); Wish them to succeed.... - Source: Hacker News / over 2 years ago

• S3 Express Is All You Need

  We tested S3 Express for our search engine quickwit[0] a couple of weeks ago. While this was really satisfying on the performance side, we were a bit disappointed by the price, and I mostly agree with the article on this matter. I can... - Source: Hacker News / almost 3 years ago

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