ProcessMaker

ERPCRMProcessMakerBPMWorkflowBI
Launch Now Write a Review

Please feel free to contact us

Go
img

About

ProcessMaker workflow management software allows public and private organizations to automate document intensive, approval-based processes across departments and systems. Business users and process experts with no programming experience can design and run workflows.

Miri Infotech is launching a product which will configure and publish ProcessMaker, workflow management software which is embedded pre-configured tool with LAMP and ready-to-launch AMI on Amazon EC2 that contains ProcessMaker, Apache, MySQL, Linux, PHP (LAMP).

With business processes governing more complex relationships and interacting with many different business systems, companies need an easy way to manage and improve their processes. Several factors make it difficult to manage these processes in human resources, finance, compliance, and other business functions.

  • Build
  • Run
  • Report
  • Optimize

User interaction features include:

  • Radically Reduce Paperwork.
  • Use Resources More Efficiently
  • Improve Business Outcomes
  • Advanced Dashboards
  • Rest API
  • BPMN 2.0 Process Designer
  • Responsive Form Designer – Dynaform Designer
  • Native Android & iOS Apps
  • Output Document Builder
  • User Portal & Cases Inbox
  • User Management
  • Custom Case Lists
  • Advanced LDAP/AD
  • Drag-and-drop layout of activities, events and gateways
  • Easy to move, resize and label all process elements
  • Gateways based on customizable conditions
  • Pools for multiple processes in a project
  • Definable variables for fields in forms and printable documents
  • Message types for interprocess communications
  • Import/export of processes in the BPMN 2.0 format
  • BPMN 2.0 Process Designer
  • HTML5 Responsive Form Designer
  • REST API
  • SOAP API
  • Native Android & iOS Apps
  • Output Document Builder
  • Basic Dashboards
  • User Portal & Cases Inbox
  • User Management
  • Email Client Integrations
  • Gmail
  • Outlook
  • Advanced LDAP/AD
  • Data Reporting Tools (Dashboards and Reporting)
  • Business Rules
  • Single sign On for Windows/Linux
  • Batch Routing
  • SLA Manager
  • FTP Monitor
  • Enterprise Connectors
  • Case Archive/Restores Case Archive & Restore
  • Productivity Features
  • Approvals by Email
  • Custom Case Lists
  • External Registration Wizard
  • Process Validator
  • Multiple File Uploader
  • Power Up Functions
  • Multiple SendMail Addresses and Servers
  • User-Based Time Zone Management
  • User-Based Language Settings Management
  • Enterprise Search
  • Advanced Mobility Features
  • Offline mobile forms
  • Barcode Scanner Field
  • Finger Signature Field
  • Realtime Google Maps Positioning Field
  • Photo Attachment Field
  • Video Attachment Field
  • Audio Attachment Field
  • Enterprise Security & Scalability Features
  • Advanced Audit logs
  • Promotion Manager
  • Plugin/Trigger Scanner
  • Enhanced Login
  • Reseller/OEM Features
  • Multitenant Manager

You can subscribe to ProcessMaker, an AWS Marketplace product and launch an instance from the ProcessMaker product’s AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Usage / Deployment Instruction

Open the URL: http://<instance ip address>/

IP address of the running EC2 instance.

Step 1: Pre Installation Check.

Step 2: File permission.

System Configuration

Step 3: Database Cinfiguration

User: miriprocessmaker

Password : <instanceID>

Database Name : miriprocessmakerdb

Host: localhost

Step 4: Work Space Configuration

Step 5: Installation Finish

SSH using root user is disabled. ec2-user is the sudo user with root privileges with access using the key pair created during launching the instance.

MYSQL can be accessed only with SSH

MYSQL User : root

Password : <instanceID>

Note : You are not supposed to change it.

All your queries are important to us. Please feel free to connect.

24X7 support provided for all the customers.

We are happy to help you.

Submit your Query: https://miritech.com/contact-us/

Contact Numbers:

Contact E-mail:

Submit Your Request





    Input this code: captcha

    The Apache Hadoop software library allows for the distributed processing of large data sets across clusters of computers using a simple programming model. The software library is designed to scale from single servers to thousands of machines; each server using local computation and storage. Instead of relying on hardware to deliver high-availability, the library itself handles failures at the application layer. As a result, the impact of failures is minimized by delivering a highly-available service on top of a cluster of computers.

    Hadoop, as a scalable system for parallel data processing, is useful for analyzing large data sets. Examples are search algorithms, market risk analysis, data mining on online retail data, and analytics on user behavior data.

    Add the words “information security” (or “cybersecurity” if you like) before the term “data sets” in the definition above. Security and IT operations tools spit out an avalanche of data like logs, events, packets, flow data, asset data, configuration data, and assortment of other things on a daily basis. Security professionals need to be able to access and analyze this data in real-time in order to mitigate risk, detect incidents, and respond to breaches. These tasks have come to the point where they are “difficult to process using on-hand data management tools or traditional (security) data processing applications.”

    The Hadoop JDBC driver can be used to pull data out of Hadoop and then use the DataDirect JDBC Driver to bulk load the data into Oracle, DB2, SQL Server, Sybase, and other relational databases.

    Front-end use of AI technologies to enable Intelligent Assistants for customer care is certainly key, but there are many other applications. One that I think is particularly interesting is the application of AI to directly support — rather than replace — contact center agents. Technologies such as natural language understanding and speech recognition can be used live during a customer service interaction with a human agent to look up relevant information and make suggestions about how to respond. AI technologies also have an important role in analytics. They can be used to provide an overview of activities within a call center, in addition to providing valuable business insights from customer activity.

    There are many machine learning algorithms in use today, but the most popular ones are:

    • Decision Trees
    • Naive Bayes Classification
    • Ordinary Least Squares Regression
    • Logistic Regression
    • Support vector machines
    • Ensemble Methods
    • Clustering Algorithms
    • Principal Component Analysis
    • Singular Value Decomposition
    • Independent Component Analysis

    Highlights

    • icon

      Radically Reduced Paperwork, Rest API, BPMN 2.0 Process Designer

    • icon

      Email Client Integrations, Gmail, Outlook, Advanced LDAP/AD

    • icon

      It provides Business Rules, Single sign On, Batch Routing, SLA Manager, FTP Monitor, Enterprise Connectors

    Application Installed

    • icon ProcessMaker
    • icon apache
    • icon linux
    • icon hadoop