XL-LightHouse 1.1.4 is released, easily achieving real-time statistics of big data with zero threshold

Upgrade content:

1. Optimize the system statistics project management module;
2. Initialize the insights module function;
3. Optimize project documents;

One-click deployment, one line of code access, no need for big data R&D and operation and maintenance experience, easy to achieve real-time statistics of massive data, after using XL-LightHouse:

  •  1. There is no need to use Flink, Spark, ClickHouse or bloated and cumbersome solutions based on Redis to run data;
  •  2. You no longer need to be tired of dealing with data statistics needs that are not of great benefit to personal value improvement. It can help you get rid of trivial and repeated data statistics needs, so as to focus on data that are more valuable to personal improvement and business development. matter;
  •  3. Easily help you achieve any fine-grained monitoring indicators, which is a good helper for you to monitor service operation status and troubleshoot various business data fluctuations and indicator anomalies;
  •  4. Cultivate data thinking, assist you in establishing a data indicator system for the work you are engaged in, quantify work output, become a professional and rigorous workplace person, and create greater personal value;

Overview

  • XL-LightHouse is a set of functions developed for the complex streaming data statistics needs in the Internet field that integrates a series of functions such as data writing, data calculation, data storage and data visualization. It supports extremely large data volumes and ultra-high concurrency [general purpose] Streaming big data statistics platform].
  • XL-LightHouse currently covers common streaming data statistics scenarios, including count, sum, max, min, avg, distinct, topN/lastN and other operations. It supports multi-dimensional calculations and supports minute, hour and day levels. Statistics at multiple time granularities support the configuration of custom statistical periods.
  • XL-LightHouse has built-in rich conversion functions, supports expression analysis, and can meet various complex condition screening and logical judgments.
  • XL-LightHouse is a complete set of data governance solutions in the field of streaming big data statistics. It provides a relatively friendly and complete visual query function, and provides an external API query interface. In addition, it also includes data indicator management, permission management, Statistical current limiting and other functions.
  • XL-LightHouse supports the storage and query of sequential data.

Product advantages

  • XL-LightHouse is oriented to the complex streaming data statistics needs of enterprises, and can help enterprises quickly achieve tens of thousands or hundreds of thousands of data indicators in a very short time, which is far beyond the reach of technologies such as Flink and ClickHouse. , XL-LightHouse helps enterprises realize data-based operations at low cost, and the data indicator system can be spread across all aspects of enterprise operations;
  • There is no limit to the amount of data in a single streaming statistics scenario. It can be very large or very sparse. You can use it to complete DAU statistics of apps with billions of users, operation and maintenance monitoring of hundreds of thousands of servers, and first-line Internet giants. Factory data-level log statistics can also be used to count the number of interface calls and time-consuming conditions that only occur sporadic times a day;
  • Support high-concurrency query statistical results;
  • One-click deployment and one-line code access eliminate the need for professional big data R&D personnel and can be easily controlled by ordinary engineers;
  • It has complete data indicator visualization and data indicator management and maintenance functions;

income

  • XL-LightHouse can help enterprises quickly build a relatively complete, stable and reliable digital operation system, saving enterprises investment in digital operations, which is mainly reflected in the following aspects:
  • Reduce enterprises' R&D costs and data maintenance costs in streaming big data statistics.
  • Help enterprises save time and costs and assist in the rapid iteration of Internet products.
  • It saves considerable server computing resources for enterprises.
  • Facilitates the sharing and interoperability of data within the enterprise.
  • In addition, XL-LightHouse is friendly to small and medium-sized enterprises. It greatly reduces the technical threshold for small and medium-sized enterprises to use streaming big data statistics. It can meet the complex streaming data statistics needs through simple page configuration and data access. 

project address

https://github.com/xl-xueling/xl-lighthouse.git

https://gitee.com/xl-xueling/xl-lighthouse.git

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