Project prioritization

This is a long read, skip to “Prioritizing the projects and changes” for the approach details...

Organizations and companies generally have an IT workload (dare I say, backlog?) which needs to be properly assessed, prioritized and taken up. Sometimes, the IT team(s) get an amount of budget and HR resources to "do their thing", while others need to continuously ask for approval to launch a new project or instantiate a change.

Sizeable organizations even require engineering and development effort on IT projects which are not readily available: specialized teams exist, but they are governance-wise assigned to projects. And as everyone thinks their project is the top-most priority one, many will be disappointed when they hear there are no resources available for their pet project.

So... how should organizations prioritize such projects?

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Structuring infrastructural deployments

Many organizations struggle with the all-time increase in IP address allocation and the accompanying need for segmentation. In the past, governing the segments within the organization means keeping close control over the service deployments, firewall rules, etc.

Lately, the idea of micro-segmentation, supported through software-defined networking solutions, seems to defy the need for a segmentation governance. However, I think that that is a very short-sighted sales proposition. Even with micro-segmentation, or even pure point-to-point / peer2peer communication flow control, you'll still be needing a high level overview of the services within your scope.

In this blog post, I'll give some insights in how we are approaching this in the company I work for. In short, it starts with requirements gathering, creating labels to assign to deployments, creating groups based on one or two labels in a layered approach, and finally fixating the resulting schema and start mapping guidance documents (policies) toward the presented architecture.

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Switching focus at work

Since 2010, I was at work responsible for the infrastructure architecture of a couple of technological domains, namely databases and scheduling/workload automation. It brought me in contact with many vendors, many technologies and most importantly, many teams within the organization. The focus domain was challenging, as I had to deal with the strategy on how the organization, which is a financial institution, will deal with databases and scheduling in the long term.

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Making the case for multi-instance support

With the high attention that technologies such as Docker, Rocket and the like get (I recommend to look at Bocker by Peter Wilmott as well ;-), I still find it important that technologies are well capable of supporting a multi-instance environment.

Being able to run multiple instances makes for great consolidation. The system can be optimized for the technology, access to the system limited to the admins of said technology while still providing isolation between instances. For some technologies, running on commodity hardware just doesn't cut it (not all software is written for such hardware platforms) and consolidation allows for reducing (hardware/licensing) costs.

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