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HIAS | opensource Hospital Intelligent Automation System designed | Continuous Deployment library

 by   LeukemiaAiResearch PHP Version: 2.0.0 License: MIT

 by   LeukemiaAiResearch PHP Version: 2.0.0 License: MIT

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kandi X-RAY | HIAS Summary

HIAS is a PHP library typically used in Devops, Continuous Deployment, Docker applications. HIAS has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
The Peter Moss Leukemia AI Research HIAS Network is an open-source Hospital Intelligent Automation System. The HIAS server powers an intelligent network providing secure access to devices on the network via a proxy. These devices/applications and databases all run and communicate on the local network. This means that premises have more control and security when it comes to their hardware, data and storage. Devices and applications on the HIAS network communicate with the server and each other using a local MQTT broker. The server hosts a private Ethereum blockchain which is integrated with the UI and provides upholds network access permissions, provides data integrity and accountability.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • HIAS has a low active ecosystem.
  • It has 15 star(s) with 9 fork(s). There are 6 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 11 open issues and 1 have been closed. On average issues are closed in 64 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of HIAS is 2.0.0
HIAS Support
Best in #Continuous Deployment
Average in #Continuous Deployment
HIAS Support
Best in #Continuous Deployment
Average in #Continuous Deployment

quality kandi Quality

  • HIAS has 0 bugs and 0 code smells.
HIAS Quality
Best in #Continuous Deployment
Average in #Continuous Deployment
HIAS Quality
Best in #Continuous Deployment
Average in #Continuous Deployment

securitySecurity

  • HIAS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • HIAS code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
HIAS Security
Best in #Continuous Deployment
Average in #Continuous Deployment
HIAS Security
Best in #Continuous Deployment
Average in #Continuous Deployment

license License

  • HIAS is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
HIAS License
Best in #Continuous Deployment
Average in #Continuous Deployment
HIAS License
Best in #Continuous Deployment
Average in #Continuous Deployment

buildReuse

  • HIAS releases are available to install and integrate.
  • Installation instructions are available. Examples and code snippets are not available.
  • HIAS saves you 93528 person hours of effort in developing the same functionality from scratch.
  • It has 101723 lines of code, 983 functions and 356 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
HIAS Reuse
Best in #Continuous Deployment
Average in #Continuous Deployment
HIAS Reuse
Best in #Continuous Deployment
Average in #Continuous Deployment
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HIAS Key Features

Local Web Server Locally hosted webserver using NGINX.

High Grade SSL Encryption High grade (A+) encryption for the web server, proxy and network.

Proxy Secure access to local devices from the outside world.

HIAS Blockchain Private Ethereum blockchain for access permissions, and providing data integrity & accountability.

HDSI Context Broker Context Broker handles contextual data for iotJumpWay IoT Agents, AI Models, Devices, Applications, Staff & Patients.

HDSI IoT Agents MQTT, AMQP & CoAP IoT Agents translate and push data coming from iotJumpWay Devices and Applications to the HDSI Context Broker.

System Database MySQL database powering the HIAS UI.

IoT Database The network IoT database is a Mongo database that stores all data from the HIAS network devices and applications, as well as iotJumpWay IoT Agents, AI Models, Devices, Applications, Staff & Patients contextual data.

Local Samba Server A local Samba file server allowing controlled individual and group access to files on your local network.

Local IoT Broker Local and private MQTT/Websockets broker based on the iotJumpway Broker.

Server UI A control panel to monitor and manage your HIAS network.

Facial Identification Systems Facial identification systems based on TassAI.

Natural Language Understanding (NLU) Server Natural Language Understanding server based on GeniSysAI.

COVID Data Analysis System A data anaysis system for monitoring the COVID 19 pandemic. This system collects data from the Johns Hopkins University COVID-19 Daily Reports on Github.

AI Detection Systems Detection systems for classsifying Acute Lymphoblastic Leukemia and COVID-19.

HIS/HMS Hospital management system providing online tools for managing and running day to day activities and resources for the hospital.

Community Discussions

Trending Discussions on Continuous Deployment
  • Combining Terraform wth CI/CD pipelines when provisioning is a rare event compared to usual code pushes
  • argocd app create in CI pipeline (GitHub Actions, Tekton, ...) throws "PermissionDenied desc = permission denied: applications, create, default/myapp"
  • Deploy GCP Cloud functions to Artifact Registry using Terraform
  • CI/CD Kubernetes Deployment using Github Actions
  • Jenkins "unable to resolve class Declarative" error when building Python script
  • How to deploy an AWS Kinesis Data Analytics App without downtime
  • ArgoCD app-of-apps create the child app but doesn't deploy the manifests inside the app
  • Does implementing CI/CD require prerequisite steps?
  • Build works on local but fails on codemagic | Execution failed for task ':app:stripDebugDebugSymbols'
  • Why does Azure Pipelines say "The environment does not exist or has not been authorized for use"?
Trending Discussions on Continuous Deployment

QUESTION

Combining Terraform wth CI/CD pipelines when provisioning is a rare event compared to usual code pushes

Asked 2022-Feb-15 at 09:04

You see a lot of articles on combining GitHub actions with Terraform. It makes sense that anytime one wants to provision something different in their infrastructure that a CI/CD pipeline would add visibility and repeatability to an otherwise manual process.

But some article make it sound as though Terraform is doing the deploying of any change. For example, this article says "anytime there is a push to the src directory it will kick off the action which will have Terraform deploy the changes made to your website."

But doesn't this only make sense if the change you are making is related to provisioning infrastructure? Why would you want any code push to trigger a Terraform job if most pushes to the codecase have nothing to do with provisioning new infrastrucutre? Aren't most code pushes things like changing some CSS on the website, or adding a function to a back-end node script. These don't require provisioning new infrastructure, as the code is just placed onto existing infrastructure.

Or perhaps the article is suggesting the repo is dedicated only to Terraform.

ANSWER

Answered 2022-Feb-15 at 09:04

In my case the changes are from terraform(only) repos. Any change to infra would be triggered by these repos. In rest of the actual app code, it would always be Ansible-Jenkins. Deploying terraform infrastructure change everytime there is a push to app-code might bring down the uptime of the application. In case of containerized application it would be Helm-kubernetes doing the application bit.

Source https://stackoverflow.com/questions/71115103

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install HIAS

Installation scripts and tutorials for setting up your HIAS - Hospital Intelligent Automation System & UI are provided. To get started, please follow the installation guides provided below in the order they are given:.

Support

Peter Moss Leukemia AI Research encourages and welcomes code contributions, bug fixes and enhancements from the Github community. Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.

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