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.

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.

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.

When you need to know the impact on a change in your project, it is very useful to see class dependencies in a network diagram. The IRIS Connections project allows you to see it.

IRIS Connections installation

If you want to install using ZPM:

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.

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.

Visual Studio Code (VSCode) is the most popular code editor on the market. It was created by Microsoft and distributed as a free IDE. VSCode supports dozens of programming languages, including ObjectScript, Until 2018, Atelier (based on Eclipse). It was considered as one of the main options to develop InterSystems products.

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.

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.