Hibernate is the most popular framework to do ORM (Object Relational Mapping) projects. With Hibernate a software can use the main DBMS in the market, including the capability to change the database vendor any time, without source code impact. This is possible because the Hibernate supports dialects. Each database product has a different dialect that can be assigned into a configuration file. So, if a software is using Oracle and is looking to evolve to InterSystems IRIS, just change the configuration file with connection and dialect information.

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Sometimes we need to know for sure if the current environment has sufficient cores, memory, and bandwidth to support the planned number of users and such SLAs as latency, response time, and availability. This is true for databases and backends. This is why it is mandatory for critical applications and databases to simulate the users simultaneous/concurrent requests and collect metrics about performance and availability.

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Nowadays, most applications are deployed on public cloud services. It brings many advantages including savings in human and material resources, the ability to grow quickly and cheaply, greater availability, reliability, elastic scalability, and options to improve the protection of digital assets. One of the most popular options is AWS. It allows us to deploy our applications usings virtual machines (EC2 service), Docker containers (ECS service), or Kubernetes (EKS service).

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These days the vast majority of applications are deployed on public cloud services. There are multiple advantages, including the reduction in human and material resources needed, the ability to grow quickly and cheaply, greater availability, reliability, elastic scalability, and options to improve the protection of digital assets. One of the most favored options is the Google Cloud. It lets us deploy our applications using virtual machines (Compute Engine), Docker containers (Cloud Run), or Kubernetes (Kubernetes Engine). The first one does not use Docker.

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It is a recommended security practice to login into sensitive Administrator Portals without any input passwords. Thus, it is necessary to identify and authenticate the users correctly. A common technique employed by web portals and mobile applications is to use Google social login. Today, Google Gmail has 2 billion users (source: https://www.usesignhouse.com/blog/gmail-stats). Therefore, it is a perfect shared login service to utilize to login InterSystems IRIS users when they need to manage their instances. This article will detail all the steps to embed Google Login into your InterSystems Management Portal.

Register your InterSystems instance in the Google Console

1. Go to https://console.cloud.google.com and log in with your Google user account.
2. On the header click Select a project:

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· Feb 23 15m read
IoT with InterSystems IRIS

IoT (Internet of Things) is a network of interconnected things, including vehicles, machines, buildings, domestic devices or any other thing with embedded TCP/IP remote connection available, allowing it to receive and send execution instructions and data. Each thing provides one or more services to the IoT network. For instance, smart light bulbs provide services of turning off and turning on the lights; smart air conditioners maintain the environment temperature; smart cameras send notifications when capturing movement.

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Applications that work with bill payments and receipts, as well as the delivery and inventory of items, generally require the use of barcodes or QR Codes. The latter is used in even broader scenarios since the QR Code can store more information than a simple bar code. Thus, it is important to have the ability to generate barcodes and QR Codes or read the data stored in them from an image or a PDF. This article will show you how to do this using Python and some of its free libraries.

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· Nov 30, 2022 14m read
Creating FHIR questionnaires

Intersystems IRIS for Health has excellent support for the FHIR industry standard. The main features are:
1. FHIR Server
2. FHIR Database
3. REST and ObjectScript API for CRUD operations on FHIR resources (patient, questionnaire, vaccines, etc.)

This article demonstrates how to use each of these features, as well as presenting an angular frontend for creating and viewing Quiz-like FHIR resources.

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FTP (File Transfer Protocol) is a network protocol for transmitting files over TCP/IP connections in a network (including the Internet) configured to transfer files via this protocol. In an FTP transaction, a file sender is called a local host. A file receiver involved in FTP is a remote host, and it is usually a server. Although many file transfers can be conducted using Hypertext Transfer Protocol (HTTP), FTP is still commonly used to transfer files behind the scenes for other applications, such as banking services.

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EHR (Electronic Health Record) systems are modeled in a proprietary format/structure and are not based on market models such as FHIR or HL7. Some of these systems can interoperate data in a proprietary format for FHIR and other market models, but others can not. InterSystems has two platforms that can interoperate proprietary formats for market ones: InterSystems HealthShare Connect and InterSystems IRIS for Health.

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In this article you will have access to the curated base of articles from the InterSystems Developer Community of the most relevant topics to learning InterSystems IRIS. Find top published articles ranked by Machine Learning, Embedded Python, JSON, API and REST Applications, Manage and Configure InterSystems Environments, Docker and Cloud, VSCode, SQL, Analytics/BI, Globals, Security, DevOps, Interoperability, Native API. Learn and Enjoy!

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Python has become the most used programming language in the world (source: https://www.tiobe.com/tiobe-index/) and SQL continues to lead the way as a database language. Wouldn't it be great for Python and SQL to work together to deliver new functionality that SQL alone cannot? After all, Python has more than 380,000 published libraries (source: https://pypi.org/) with very interesting capabilities to extend your SQL queries within Python.

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