ELK Stack powered by Miri Infotech
Elastic Stack is a comprehensive end-to-end log analysis solution which helps in deep searching, analyzing, and visualizing the logs generated from different machines.
  • Delivery Method: Image
  • Architecture: 64
  • Base Operating System: linux
  • Latest Version: V4
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Product Details
  • Product Highlights
    1. Elasticsearch is a search and analytics engine 2. Logstash is a data processing pipeline that ingests data from multiple sources concurrently, transforms it, and then sends it to a stash. 3. Kibana enables users to visualize data with charts and graphs in Elasticsearch
  • Product Description

    Now available on Alibaba Cloud Network, Elastic Stack is a comprehensive end-to-end log analysis solution which helps in deep searching, analyzing, and visualizing the logs generated from different machines. Companies all over the world use these tools to perform critical business functions. These tools are most commonly used together for centralized logging in security and compliance, IT environments, business intelligence, and for web analytics as well.

    ELK stack has been re-branded as Elastic Stack after the addition of Beats to the stack.

    • Elasticsearch is a search and analytics engine
    • Logstash is a data processing pipeline which ingests data from multiple sources concurrently, transforms it, and then sends it to a stash.
    • Kibana enables the users to visualize data using charts and graphs in Elasticsearch

    Miri Infotech, one of the leading IT solutions provider is configuring ELK stack, a comprehensive end-to-end log analysis solution that which is embedded with Ubuntu along with ready-to-launch AMI on Alibaba Cloud Network that contains Elasticsearch, Kibana and Logstash.

    Simply put, Logstash collects and analyzes logs, and then Elasticsearch indexes and stores the data. Kibana subsequently presents the information in visualizations which provide actionable insights.

    These tools are spread across a compilation of different languages. Beats are written in “Go” for the convenient, efficient distribution of compiled binaries while Kibana uses Javascript for combined development of frontend and backend mechanisms.

    Logstash

    Logstash serves as the pillar for storage, querying, and analysis of the logs. With Logstash, it's really easy to collect those logs and store them in single centralized location. The only precondition is Java 8 runtime, and it takes only about two commands to get Logstash running. Since, it has a collection of ready-made inputs, codecs, filters, and outputs, users can grab hold of a dynamic feature-set easily.

    Elasticsearch

    Elasticsearch, a NoSQL database is based on the Lucene search engine. A single developer can use it to find the high-value information underneath all data haystacks, so users can put their team of data scientists to work efficiently. Elasticsearch comes along with these benefits:

    • Document orientation
    • Real-time analytics
    • Full-text search
    • Real-time data

    Kibana

    Kibana is a log-data dashboard which can be installed on Linux, Windows, and Mac. It runs on node.js, along with the installation packages that come incorporated with the required binaries. It provides a better grip on large data stores with point-and-click pie charts, trend lines, bar graphs, maps, and scatter plots. In the long run, user’s each business line can make practical use of data collection, as this helps them to customize their dashboards.

     

    For more info- http://www.cloud.miritech.com/Alibaba-Cloud/ELKStack.aspx

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