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:

Everybody has a testing environment.

Some people are lucky enough to have a totally separate environment to run production in.

-- Unknown

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In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

• Git 101
• Git flow (development process)
• GitLab installation
• GitLab WorkFlow
• GitLab CI/CD
• CI/CD with containers

This first part deals with the cornerstone of modern software development - Git version control system and various Git flows.

Last week saw the launch of the InterSystems IRIS Data Platform in sunny California.

For the engaging eXPerience Labs (XP-Labs) training sessions, my first customer and favourite department (Learning Services), was working hard assisting and supporting us all behind the scene.

In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

• Git 101
• Git flow (development process)
• GitLab installation
• GitLab Workflow
• Continuous Delivery
• GitLab installation and configuration
• GitLab CI/CD

In the previous article, we covered Git basics, why a high-level understanding of Git concepts is important for modern software development, and how Git can be used to develop software. Still, our focus was on the implementation part of software development, but this part presents:

• GitLab Workflow - a complete software life cycle process - from idea to user feedback
• Continuous Delivery - software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time. It aims at building, testing, and releasing software faster and more frequently.

Container Images

In this second post on containers fundamentals, we take a look at what container images are.

What is a container image?

A container image is merely a binary representation of a container.

A running container or simply a container is the runtime state of the related container image.

Please see the first post that explains what a container is.

Hi Developers

As you know it's very easy to publish a package to the Developers Community registry. 

But how to test it before publishing?  How to be sure that everything you introduced into module.xml is installed properly?

See the step-by-step instruction below!

This post provides useful links and an overview of best practice configuration for low latency storage IO by creating LVM Physical Extent (PE) stripes for database disks on InterSystems Data Platforms; InterSystems IRIS, Caché, and Ensemble.

I am often asked by customers, vendors or internal teams to explain CPU capacity planning for large production databases running on VMware vSphere.

In summary there are a few simple best practices to follow for sizing CPU for large production databases:

• Plan for one vCPU per physical CPU core.
• Consider NUMA and ideally size VMs to keep CPU and memory local to a NUMA node.
• Right-size virtual machines. Add vCPUs only when needed.

Generally this leads to a couple of common questions:

Hey Developers,

We're pleased to invite you to join the next InterSystems IRIS 2020.1 Tech Talk: DevOps on June 2nd  at 10:00 AM EDT! 

In this InterSystems IRIS 2020.1 Tech Talk, we focus on DevOps. We'll talk about InterSystems System Alerting and Monitoring, which offers unified cluster monitoring in a single pane for all your InterSystems IRIS instances. It is built on Prometheus and Grafana, two of the most respected open source offerings available.

Next, we'll dive into the InterSystems Kubernetes Operator, a special controller for Kubernetes that streamlines InterSystems IRIS deployments and management. It's the easiest way to deploy an InterSystems IRIS cluster on-prem or in the Cloud, and we'll show how you can configure mirroring, ECP, sharding and compute nodes, and automate it all.

Finally, we'll discuss how to speed test InterSystems IRIS using the open source Ingestion Speed Test. This tool is available on InterSystems Open Exchange for your own testing and benchmarking. 

Hi Everyone,

Are you ready yet? Have you packed all you'll need for the summit? And don't forget the needed power-socket adapters if you come from outside the US! 

Have you signed up for the Container Bootcamp on Sunday? Or one of the various Experience Labs, the many informative sessions and one of the symposia on Wednesday afternoon?

Again, there is a mobile app for attendees that should help you keep it all under control and even allow you to book time with InterSystems personnel for a one-on-one deep-dive on whatever you need.

Just got the new beta version of Docker, with depreciation warning of AUFS. It's so bad news when InterSystems does not support used by default storage driver overlay2. Recently I thought to play with Google Kubernetes Engine, and realized that I can't work with InterSystems products there due to incompatibility with Storage Driver. Maybe it's already time to think about support?

Hi Developers!

I'm pleased to present to you a new feature of Open Exchange - ZPM Package Manager support!

What's about it?

Hi, if you develop production with HealthShare, you may have noticed there is a nice tracing feature available - HS.Util.Trace.Operations. This feature allows visually tracing debug information, in structured way. It complements good old logging macros like $$$LOGINFO, $$$TRACE and alike.

I use this feature a lot. However, it has limited functionality, it works nice with classes that extend XML Adapter, streams or data types, but it doesn't work well with arbitrary objects that do no extend from XML Adapter.