#Google Cloud Platform (GCP)

Real Time FHIR® to OMOP Transformation

This part of the OMOP Journey,  we reflect before attempting to challenge Scylla on how fortunate we are that InterSystems OMOP transform is built on the Bulk FHIR Export as the source payload.  This opens up hands off interoperability with the InterSystems OMOP transform across several FHIR® vendors, this time with the Google Cloud Healthcare API.

Google Cloud Healthcare API FHIR® Export

Kamino for IrisClusters

If you are in the business of building a robust High Availability, Disaster Recovery or Stamping multiple environments rapidly and in a consistent manner Karmada may just be the engine powering your Cloning Facility.

A step by step implementation path to a cross regional stretched IrisCluster with Mirroring using the Intersystems Kubernetes Operator (IKO), Google Cloud Platform, and Tailscale.

I am giving this distraction the code name "Compliment Sandwich" for a reason yet to be realized, but I'd rather the community go right for the jugular shooting holes in a solution that implements wireguard based connectivity for our workloads in general, as I would like to refine it as a fall project leading up to KubeCon in Atlanta and if I miss the mark, Ill get it done before Amsterdam. 

I’ve been exploring options for connecting Google Cloud Pub/Sub with InterSystems IRIS/HealthShare, but I noticed that IRIS doesn’t seem to ship with any native inbound/outbound adapters for Pub/Sub. Out of the box, IRIS offers adapters for technologies like Kafka, HTTP, FTP, and JDBC, which are great for many use cases, but Pub/Sub appears to be missing from the list.

Has anyone here implemented such an integration successfully?

For example:

Another step in this implementation path, adding cross cloud, cross regional stretched IrisCluster with Mirroring + Disaster Recovery using the Intersystems Kubernetes Operator (IKO) and Tailscale

Though trivial, Id like to go multi-cloud with the stretched IrisCluster for a couple of reasons to socialize the power of Wireguard when it supplies the network for a properly zoned IrisCluster by adding another mirror role to Amazon Web Services in the Western United States based datacenter in Oregon.

Background

For a variety of reasons, users may wish to mount a persistent volume on two or more pods spanning multiple availability zones. One such use case is to make data stored outside of IRIS available to both mirror members in case of failover.

Unfortunately the built-in storage classes in most Kubernetes implementations (whether cloud or on-prem) do not provide this capability:

• Does not support access mode "ReadWriteMany"
• Does not support being mounted on more than one pod at a time
• Does not support access across availability zones

Hi,

I tried to create a client for Google Cloud Storage using a private endpoint.

like this:

S client=##class(%Net.Cloud.Storage.Client).%New()

S sc=client.CreateClient("",2,credentialsFile,"",.out,privateEndpoint)

But privateEndpoint seems not to be used when trying to send blob from a file:

D sc.UploadBlobFromFile(bucketname,blobname,filename)

We can see at the firewall that the client still tries to use the public endpoint for GCS.  

Even if the private endpoint is definitely reachable.

When we allow the public endpoint in the firewall then it is working as expected.

Google Forms is the most popular solution on the market for collecting data, answering questionnaires and quizzes. So, it is the ideal solution for collecting patient data and responses in a practical way, without the need to expand or develop systems. In this article, I will detail how to create an account on Google Cloud, register the application that will consume the Google Forms API, generate the service user necessary to consume the API and finally perform actions to create new forms and collect data filled in them in an automated way in embedded Python and IRIS.

If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver).

If you're running IRIS in a mirrored configuration for HA in GCP, the question of providing a Mirror VIP (Virtual IP) becomes relevant. Virtual IP offers a way for downstream systems to interact with IRIS using one IP address. Even when a failover happens, downstream systems can reconnect to the same IP address and continue working.

The main issue, when deploying to GCP, is that an IRIS VIP has a requirement of IRIS being essentially a network admin, per the docs.

To get HA, IRIS mirror members must be deployed to different availability zones in one subnet (which is possible in GCP as subnets always span the entire region). One of the solutions might be load balancers, but they, of course, cost extra, and you need to administrate them.

In this article, I would like to provide a way to configure a Mirror VIP without using Load Balancers suggested in most other GCP reference architectures.

At Ascendion, we are looking for a IRIS for Health Engineers who has experience in build HL7 to FHIR and CCDA to FHIR conversion interfaces. Also knowledge on GCP/GKE is nice to have. If you are interested, please reach out to Himanshu.kesarkar@ascendion.com ; manoj.nair@ascendion.com ; srinath.r@ascendion.com

In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

 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. Instead, it utilizes a virtual

Like hardware hosts, virtual hosts in public and private clouds can develop resource bottlenecks as workloads increase. If you are using and managing InterSystems IRIS instances deployed in public or private clouds, you may have encountered a situation in which addressing performance or other issues requires increasing the capacity of an instance's host (that is, vertically scaling).

Hi Community,

Please welcome the new video on InterSystems Developers YouTube:

⏯ Deploying InterSystems IRIS Solutions into Kubernetes Google Cloud

Hi colleagues!

Every day Johns Hopkins University publishes new data on coronavirus COVID-19 pandemic status.

I built a simple InterSystems IRIS Analytics dashboard using InterSystems IRIS Community Edition in docker deployed on GCP Kubernetes which shows key measures of the disease outbreak.

This dashboard is an example of how information from CSV could be analyzed with IRIS Analytics and deployed to GCP Kubernetes in a form of InterSystems IRIS Community Edition.

Added the interactive map of the USA:

Hi Devs!

Last weekend I had been testing the newborn csvgen module and was looking for a CSV file to test - thus I came across an interesting datafile on Data.World  with Game of Throne episodes statistics. Death statistics. These folks documented all the murders through all the 8 seasons and noted where, who, from what clan with what weapon had killed another one.

So I imported it and made an IRIS Analytics dashboard.

Don't worry, Jon,  with this dashboard we can figure out something ). See the details below.

Hi Community,

The new video from Global Summit 2019 is already on InterSystems Developers YouTube:

⏯ Automated InterSystems IRIS Cloud Scaling

Hi Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Resilient Deployments in the Cloud

Most of us are more or less familiar with Docker. Those who use it like it for the way it lets us easily deploy almost any application, play with it, break something and then restore the application with a simple restart of the Docker container.InterSystems also likes Docker.The InterSystems OpenExchange projectcontains a number of examples that run InterSystems IRIS images in Docker containers that are easy to download and run. You’ll also find other useful components, such as the Visual Studio IRIS plugin.It’s easy enough to run IRIS in Docker with additional code for specific use cases, but

Last time we launched an IRIS application in the Google Cloud using its GKE service.

And, although creating a cluster manually (or through gcloud) is easy, the modern Infrastructure-as-Code (IaC) approach advises that the description of the Kubernetes cluster should be stored in the repository as code as well. How to write this code is determined by the tool that’s used for IaC.

Loading your IRIS Data to your Google Cloud Big Query Data Warehouse and keeping it current can be a hassle with bulky Commercial Third Party Off The Shelf ETL platforms, but made dead simple using the iris2bq utility.

I want to add ports 9100 and 9101 in addition to 52773. I read on docker container documentation that this is not possible on a already ran image. Currently it starts the google cloud IRIS health container automatically without me able to specify the additional ports. How can I add ports to Google cloud IRIS Health container?

Hi all, New user here. I have an instance of Google Cloud Iris Health Community Edition running and am logged in on terminal. I follow the instructions for Google Cloud IRIS Health Community Edition. How do I get to iris? iris status yields nothing, there is no /bin/iris and sudo docker ps -a shows no containers but there probably is a iris container somewhere on the instance?  'Visit the site' yields ERR_CONNECTION_REFUSED 

I'm trying to setup Iris Community on a GCP node and the following fails

iris load https://github.com/intersystems/quickstarts-multimodel-python

Error:

sudo: /tmp/195/load.sh: command not found

in /opt/ISC/info.sh

    local directory url
    url=$1
    #get the directory where the bash script lives and add a random numbered new dir
    dir1="/tmp"
    dir2=$(($(od -An -N1 -tu1 /dev/urandom)))
    directory="$dir1/$dir2"
    
    #get the code and set permissions
    sudo git clone -q $url $directory
    sudo chmod -R 775 $directory

    #run the repo specific code
    sudo $directory/load.sh

Breaking news!

InterSystems just announced the availability of the InterSystems IRIS for Health™ Data Platform across the Amazon Web Services, Google Cloud, and Microsoft Azure marketplaces.

With access to InterSystems unified data platform on all three major cloud providers, developers and customers have flexibility to rapidly build and scale the digital applications driving the future of care on the platform of their choice. 

To learn more please follow this link. 

Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

Choosing a Public Cloud

Google Cloud Platform (GCP) provides a feature rich environment for Infrastructure-as-a-Service (IaaS) as a cloud offering fully capable of supporting all of InterSystems products including the latest InterSystems IRIS Data Platform. Care must be taken, as with any platform or deployment model, to ensure all aspects of an environment are considered such as performance, availability, operations, and management procedures.  Specifics of each of those areas will be covered in this article.

Hi, Community!

Just want to let you know that InterSystems IRIS is available on Google Cloud Marketplace.

Start here to get your InterSystems IRIS VM on GCP.

Anyone have any suggestions where to spin up small Cache/IRIS/Ensemble test DBs? Hopefully very low cost (or free) reliable hosting?  Obviously AWS has some options but wondering if anyone has had 12 month+ experience with very low cost Cache cloud with AWS, Azure, Google, etc?

Thanks,

Tom Fitzgibbon | gototomATG...l | 3474648531