Unpicking the Acronym: Value Stream Management - Part 1
The path to DevOps maturity might not be what you think
July 13, 2020

Jon Collins
Gigaom

Given that a long time ago I wore two separate consulting hats — agile development and operational management — you can imagine my delight when some bright spark came up with the term DevOps. I've been spending the past couple of years looking at how to make DevOps real through best practices, supported through the use of supporting technologies running across development, through deployment and into operations.

The Missing Elements of Best Practice

Perhaps the most important lesson I have learned so far is how many elements of development best practice have been notable by their absence. Unfair, I hear you say! We have Kanbans and Scrums, continuous everything, shift-left security and end-to-end quality, infrastructure as code, feature flags and quality gates and fail fast and the list goes on. But still senior management struggles to keep in control of what is going on, and to know whether all the effort is delivering results.

In terms of making this happen meanwhile, many enterprises I come across are in some half-way house, looking to make the cultural changes they know they need to make wholesale, but seeing only pockets of success. With every business wanting to be a software business (in principle at least), the demand is there for a clear path which takes an organization from where it is to such an, altogether better place.

As an aside, I'm not one of those people who believes that DevOps is actually more DEVops, with developers holding the exclusive keys to the kingdom, and operations staff as mere serfs who will one day be automated into oblivion. Infrastructure is, and will continue to be, too complex for that. Having said this, I'm going to focus here on the Dev side of the equation, as there's plenty of scope to improve this.

In principle, the answer is clear: development teams need to get better at what they do. That's what many of those best practice notions are about, right?

Pretty much every time I've read about implementing such measures, I've heard that the best bet is to start with a key team and then grow it out to the broader organization, as if best practice can permeate many thousands of people through osmosis alone.

The alternative is to implement some kind of structured change program in which the organization as a whole increases its maturity. This model, derived from quality management best practice of the 1970s, suggests that putting the right processes in place will engender good practice by their very presence. If chaos is your problem, structure is your inevitable solution.

Can Maturity Models Help?

Structure cannot happen just like that, which is where maturity models come in. Get the basics right and build on them, until you are a master of your destiny.

If we go back to SEI terminology from 1986, we have 5 stages, from initial to repeatable, then defined, then managed, and finally, optimized. Each stage is an adjective, and process is the noun, implying that the most mature organizations will have the best, self-optimizing and constantly improving processes.

Fact: these levels do not reflect any organization that I know, and more importantly if I think back, they never did. Given that we've been at this for many decades now, we should be pretty mature by now, right? So, why is it that, when I speak to organizations, I find so many still linger in level 2, going on 3? In other words, while the model may appear coherent in principle, it has not been effective in practice. Perhaps that's why I've never much liked maturity models very much.

The underlying idea is that by understanding processes, you can control them — this model reflects a command-and-control mindset that doesn't sit too well with modern innovation practice. Throw in the phrase "business agility" and you can already see the flaw in this argument: the concept of an agile process is in itself an oxymoron.

So, should we all pack up and go home, allowing the entropy of the universe to take its course? Of course not. The answer lies in aligning practices with reality, rather than trying to corral reality into some theoretical ideal.

Go to Unpicking the Acronym: Value Stream Management - Part 2

Jon Collins is VP of Research for Gigaom
Share this

Industry News

April 11, 2024

Check Point® Software Technologies Ltd. announced new email security features that enhance its Check Point Harmony Email & Collaboration portfolio: Patented unified quarantine, DMARC monitoring, archiving, and Smart Banners.

April 11, 2024

Automation Anywhere announced an expanded partnership with Google Cloud to leverage the combined power of generative AI and its own specialized, generative AI automation models to give companies a powerful solution to optimize and transform their business.

April 11, 2024

Jetic announced the release of Jetlets, a low-code and no-code block template, that allows users to easily build any technically advanced integration use case, typically not covered by alternative integration platforms.

April 10, 2024

Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.

April 10, 2024

Buildkite signed a multi-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS), the world's most comprehensive and broadly adopted cloud, to accelerate delivery of cloud-native applications across multiple industries, including digital native, financial services, retail or any enterprise undergoing digital transformation.

April 10, 2024

AppViewX announced new functionality in the AppViewX CERT+ certificate lifecycle management automation product that helps organizations prepare for Google’s proposed 90-day TLS certificate validity policy.

April 09, 2024

Rocket Software is addressing the growing demand for integrated security, compliance, and automation in software development with its latest release of Rocket® DevOps, formerly known as Aldon®.

April 09, 2024

Wind River announced the latest release of Wind River Studio Developer, an edge-to-cloud DevSecOps platform that accelerates development, deployment, and operation of mission-critical systems.

April 09, 2024

appCD announced its generative infrastructure from code solution now supports Azure Kubernetes Service (AKS).

April 09, 2024

Synopsys announced the availability of Black Duck® Supply Chain Edition, a new software composition analysis (SCA) offering that enables organizations to mitigate upstream risk in their software supply chains.

April 09, 2024

DataStax announced innovative integrations with API extensions to Google Cloud’s Vertex AI Extension and Vertex AI Search, offering developers an easier time leveraging their own data.

April 08, 2024

Parasoft introduced C/C++test CT, a comprehensive solution tailored for large teams engaged in the development of safety- and security-critical C and C++ products.

April 08, 2024

Endor Labs announced a strategic partnership with GuidePoint Security.

April 08, 2024

Hasura announced the V3 of its platform, providing on-demand API composability with a new domain-centric supergraph modeling framework, a distributed supergraph execution engine and a rich and extensible ecosystem of open source connectors to address the challenges faced during integration of data and APIs.

April 04, 2024

DataStax has entered into a definitive agreement to acquire AI startup, Logspace, the creators of Langflow, an open source visual framework for building retrieval-augmented generation (RAG) applications.1