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Elasticsearch (6)

Deployments (1)

elastic_search (6)

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Elasticsearch (6)

Blog

21 posts

Blog is the place to record my life. There are 5 categories in Blog section:

Thoughts: My thoughts and attitude to everything in my life.
Critique: My reviews, especially to musicals, movies, etc.
Travel: My travel notes.
Moment: Some moments that I feel something and eager to write it down. Fragments in my life. Short memos.
Gallery: Pictures I’d like to share. My favourite ones.

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Big ideas behind MADS, one stop no-code platform for IIoT

Feb 9, 2022
7 minutes read

Fast, flexible, and user-friendly, MADS is the leading platform for building IIOT solutions. What is MADS? MADS is a 100% self-service no-code intuitive IoT platform for rapid implementation of enterprise IoT projects. It enables quick development, management, and scaling of IoT use-cases. Any enterprise IoT project has some desired outcome to realize the the ROI of the project. The desired outcome is what the stakeholders are interested in, however to realize that outcome there are certain foundational steps: Create a design of the IoT project Connect and collect all the IoT data Define data pipelines and apply the business logic Analyze and visualize the generated information from raw data. Take action to complete the feedback loop. The above steps are fundamental to deployment of any IoT project. Conventionally these steps were developed as applications and tools by software developers in collaboration with domain experts who understood the usecase. However, since these steps are common an abstraction layer can be created to stop reinventing the wheel and create a horizontal IoT platform which comes with such features baked in. This kind of support allows the domain experts to use the platform to build the usecase on their own and rapidly customize and deploy it for their users.......

Exploring the ElasticSearch directory

Mar 10, 2020
0 minutes read

ElasticSearch Introduction

Mar 10, 2020
One minute read

What is elastic Search Add data Built with Java, based on Apache lucene. Easy to use, and highly scalable. Use Cases Add data Overview of ElasticStack ElasticStack consists of a few different products: X-Pack: Adds features to ElasticSearch and Kibana, Security: Authentication and authroization. Monitoring: Gain insights into how ELK stack is working. Alerts: For CPU usage, user behaviour, etc. Reporting: Machine Learning: Enables Kibana to use machine learning. Graph: Relationships Kibana: Analytics and visualization engine. Anomaly detection and machine learning. Beats: Logstash: Data processing pipeline. ElasticSearch Storing Data in Elastic Search Add data Document A document in elastic search corresponds to a row in database. { “name”: “iron man”, “work_place: “stark industries”, “team”: “avengers” } Each field in the document corresponds to a column in a table.......