enterprise_architecture

Optimizing Twelve (12) Factor app for Red Hat OpenShift

Optimizing Twelve (12) Factor app for Red Hat OpenShift

OpenShift Enterprise by Red Hat was designed to be application architecture agnostic. In addition to running traditional stateful and/or legacy-type workloads, OpenShift Enterprise seamlessly provides support for modern, stateless Twelve-Factor applications. This document provides a guide on how to optimize the architecture and deployment of your Twelve-Factor applications on OpenShift Enterprise.

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4 Steps to Maximize Your DevOps and Agile Results

4 Steps to Maximize Your DevOps and Agile Results

It still amazes me how, after all the time and effort spent trying to figure out how to manage and execute technology projects, that some fundamental issues still remain. The foremost of these is: did we achieve the business value (when and for how much we said we would). Waterfall wasn’t great at this, Agile got better, now it’s on to DevOps. The problem is that most of us can provide examples where each of these approaches has failed and, even when they haven’t failed, there were still challenges with what the project produced for the business.

In my experience, very few IT projects articulate the measurable business value – or outcomes – that they will produce when completed. If you review project charters (from actual projects, not from text-book examples), you’ll often see that there is only implied business value that is sought to be measured.  A typical example: “Improve access to organizational data.” I think there’s value there, but how can I measure the value that it will bring to the business?

But what if there were a way to change how IT practitioners view projects, and what if, simultaneously you had a way to increase your value proposition to the business and be more successful at execution irrespective of whether you use Agile or DevOps or your super secret project approach?

There is. Enter Accountable Care for IT

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Imagine this – the life of an image

Imagine this: deploy an application from code-commit to qa, validate through automated testing, and then push the same image into production with no manual intervention, no outage, no configuration changes, and with full audibility through change records. A month-and-a-half ago, we formed a tiger team and gave them less than 90 days to do it. How? Build an end-to-end CI/CD environment leveraging RHEL Atomic 7.1 as the core platform and integrating with key technologies like git, Jenkins, packer.io, in a hybrid deployment model and in accordance with our enterprise standards. Oh, and make sure we don’t care if we lose a couple of the nodes in the cluster when we’re running the application in production.

Disruptive technology that spawns disruptive business architecture. And it all starts with imagining the life of this thing called an image.

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Pivoting at Speed to Scaled Agile and DevOps – Chapter 3b

Pivoting at Speed to Scaled Agile and DevOps – Chapter 3b

Deeper In the Engine Room

Fundamentally changing how people work isn’t easy. When you’re midstream on a large strategic integration initiative, it’s even more difficult. (See here to get up to speed on how far we’ve come). Due to these challenges, there are a couple of things we kept in mind as we progressed as well as learning a few additional things. So we wanted to dive a bit deeper in the engine room and share with you two of the biggest lessons: how to operate with globally distributed teams (I’ll follow the sun) and keeping in mind what really matters (the Importance of being Earnest).

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Pivoting at Speed to Scaled Agile and DevOps – Chapter 3

Pivoting at Speed to Scaled Agile and DevOps – Chapter 3

Chapter 3 – In the Engine Room

The old idiom “the devil’s in the details” couldn’t apply more to our initiative. We have six global development teams that were executing in waterfall that we’ve essentially restructured and told them to do agile. To catch up on how we got here see Chapter 1 and Chapter 2.

Sound like a recipe for disaster? It could very well be, but seeing that we’re at a position where we can only improve, the gamble may just pay off.

Coal Power before Steam

Remember the Integrated Delivery Teams from last time? We now have six IDTs each having their own set of outcomes to achieve. The outcomes are the discrete business capabilities from end-to-end potentially spanning multiple systems. This alone is a huge benefit in that we’ve removed the artificial barriers to cross-team communication and, at the same time, given a group of people a common mission that if they meet, will demonstrate complete business capability and value. But how do we actually get to a state where we can execute?

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DevOps: Talk to me… Say what?

DevOps: Talk to me… Say what?

From Barry Manilow to Kiss, to Mary J. Blige and everyone in-between, people have been singing Talk to me for decades. And is it any wonder? Often we don’t feel heard or feel that we don’t understand what people are trying to say or do. In the fast pace of today’s business, effective communication to get everyone on the same page quickly is essential. Needless to say, this isn’t always easy.

https://openclipart.org/detail/188792/conversation-by-ousia-188792

Given that we have to communicate effectively and the fact that most all of us hate writing documentation, we need a better approach. So, what I’ve started to do with groups I work with, is to move beyond ineffective textual documentation to simply creating illustrations. There are four basic types we use depending on the situation and audience:

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Being Better – a Delivery Efficiency Continuum

Last time we started on our Journey to Delivery Efficiency with a conversation on The Thing, The Life, and The Who (see the post here). In other words, we need to know what the thing is, that it has a lifecycle during which different people care (the who). These basic elements set us up for being able to care for these things throughout their lifecycle and ultimately be Faster, Better, Stronger, and Wiser in their delivery.

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