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#Deployment

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Software deployment is all of the activities that make a software system available for use. The general deployment process consists of several interrelated activities with possible transitions between them. 

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 first 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.

In the second article, we covered GitLab Workflow - a complete software life cycle process and Continuous Delivery.

I this article we'll discuss:

  • GitLab installation and configuration
  • Connecting your environments to GitLab
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Question
· Mar 12, 2018
Compilation Status after Import

Is there a way to enumerate the compilation status of a package?

currently after deployment we are doing something like this to validate a successful load and compile of classes:

successful_compilation_count=`grep -a "Compilation finished successfully" output.log | wc -l`
successful_load_count=`grep -a "Load finished successfully" output.log | wc -l`

is there a method to do this where it is a little bit more elegant/dynamic without having to maintain counts for comparison ?

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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
  • 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.

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Hi, Community!

I'm using Git with DeepSee and when I need to do a commit to the git repo I'm exporting ALL the pivots and dashboards from the namespace. But I can forget to do that) And it can take time for a large system.

What is the way to manage automatical export of DeepSee artefacts which we are editing in UI (Cubes, Pivots, Dashboards, Pivot Variables, Term lists, Shared Measures) into files every time when I push Save button?

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Everybody has a testing environment.

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

-- Unknown

.

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.

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Hello guys,

Based on this article (others as well, but this is the relevant one): http://docs.intersystems.com/latest/csp/docbook/DocBook.UI.Page.cls?KEY=...

I have been playing around with the Management Portal deployment tool, which involves:
Ensemble > Manage > Deployment Changes > Deploy and
Production Settings > Actions > Export
Production Settings > Actions > Re-Export

Everything was going fine , until I came across this:

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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.

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Hi, Community!

Someday you find yourself having a wonderful class package which can be helpful in several projects. So it is a library package.

How to make the classes available for different namespaces in Caché? There are two ways (at least two ways familiar to me):

1. Start the name of the package with %, like %FantasticLib.SuperClass. Wrong way.

If you do that the class would be placed in %SYS and would be available in other namespaces.

This is wrong because of the two reasons:

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The Installer Manifest has the option to modify the production level settings for AutoStart but is there a way to change settings such as ActorPoolSize and other settings? What would the format be to change such a setting to change the ActorPoolSize to 2?

<Production Name="MyProduction">

??????

</Production>

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I'm trying to write an installer manifest that can create a namespace, resources (%DB_namespace) and a role (with the resource, above), based on the namespace. So you could pass in "ABC", or "XYZ", and it would create the %DB_ABC resource and the ABC role with %DB_ABC:RW permissions; or it will create the %DB_XYZ resource and the XYZ role with %DB_XYZ:RW permissions, accordingly.

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I just deployed my production from test to acceptance but I found that the deployment misses some Soap Webclient classes which are used by my business operation components. I have used the management portal to create the deployment (i.e. production settings -> Export) and I expected that all classes used by the production were automatically included. Apparantly, that is not the case. Is this default behaviour for Ensemble? And can I somehow force Ensemble to automatically include these classes?

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If you have an app that uses some Caché client Windows components that are not included into CacheODBC distribution (e.g. CacheActiveX.dll), you need to proceed Caché client installation on end user's client computers and/or MS Terminal Servers. Being a part of Caché client's installation, Caché Cube is installed along with other components and is autostarted with every user's session. So, it becomes visible to every user.

To make it completely invisible, you can just move CACHE.lnk file from

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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.

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Does anyone have experience using SCCM or any other enterprise application management tool to deploy updates to a thick client (internally developed standalone app) across the enterprise? I have a client that is attempting to get this working for their customer and running into some trouble. If you have any knowledge or experience you can share it would be greatly appreciated.

I have read some MS Technet pages that appear to indicate this is possible

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Greetings,

Is it possible to save Cache code into a file and then run it via command line?

IE: csession [ini] -U [ini] /path/cacheCodeFile.?

What I need to do is run a Cache script from the Linux command line. The script will navigate data to produce a file and then it will exit back to the command line.

Thanks in advance for everyone's time.

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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:

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Configuring an Ensemble production can be a challenging task involving a thorough understanding of the system and production functionality and a detailed understanding towards each configuration item. After successfully configured an Ensemble production, you might need to set up an identical production on the mirror environment, or deploy the production on a development system to a live system, or send a copy for diagnostic/debug purposes. Other times you might have spent some time designing a BPL/DTL and some other productions can use the same logic.

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