5 Problems With the IT Industrial Revolution
January 29, 2014

Matthew Selheimer
ITinvolve

Share this

Over the last several years there has been lots of talk about the need for an "Industrial Revolution" in IT. We're actually pretty big fans of the metaphor here at ITinvolve.

I think it's well accepted that IT needs to improve both its speed of service delivery and quality. These are classic benefits from any industrialization effort, and they both create ripple-effect benefits in other areas too (e.g. ability to improve customer service, increased competitiveness).

But despite all the talk and recommendations (e.g. adoption automation tools, get on board with DevOps), there are five common problems that stand in the way of the IT industrialization movement. A recent Forrester Consulting study commissioned by Chef gives us some very useful, empirical data to call these problems out for action.

1. First Time Change Success Rates aren't where they need to be

40% of Fortune 1000 IT leaders say they have first time change success rates below 80% or simply don't know, and another 37% say their success rates are somewhere between 80% and 95%. You can't move fast if you aren't able to get it right the first time, because it not only slows you down to troubleshoot and redo, but it hurts your other goal of improving quality.

2. Infrastructure Change Frequency is still far too slow

69% of Fortune 1000 IT leaders say it takes them more than a week to make infrastructure changes. With all the talk and adoption of cloud infrastructure-as-a-service, these numbers are just staggering. Whether you are making infrastructure changes to improve performance, reliability, security, or to support new service deliveries, we have to get these times down to daily or (even better) as needed. There are a lot of improvements to be made here.

3. Application Change Frequency is just as bad

69% of Fortune 1000 IT leaders say it takes them more than a week to release application code into production. Notice that it doesn't say "to develop, test, and release code into production". We're talking about just releasing code that has already been written and tested. 41% say it still takes them more than a month to release code into production. Hard to believe, but the data is clear.

4. IT break things far too often when making changes

46% of Fortunate 1000 leaders reported that more than 10% of their incidents were the results of changes that IT made. Talk about hurting end user satisfaction and their perception of IT quality. What's worse, though, is that 31% said they didn't even know what percentage of their incidents are caused by changes made by IT!

5. The megatrends (virtualization, agile development, cloud, mobile) are intensifying the situation

As the report highlights, these trends "cause complexity to explode in a nonlinear fashion."

So what can you do about this if you believe that "industrialization" and, therefore, automation is the answer (or at least a big part of the answer). Well, first, you have to make sure your automation is intelligent – i.e. informed and accurate. Because we all know that doing the wrong things faster will make things worse faster.

Good automation must be driven by a model that fully comprehends the current state of configuration, the desired state, and the necessary changes and risks to get there. It's only when armed with this information, can automation engineers effectively build out the scripts, run books, etc. to deliver agility with stability and quality.

Matthew Selheimer is VP of Marketing at ITinvolve.

Related Links:

www.itinvolve.com

Forrester Consulting Study: IT Speed: The Crisis and the Savior of the Enterprise

Share this

The Latest

December 18, 2024

Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...

December 17, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers cloud, the edge and IT outages ...

December 16, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...

December 12, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...

December 11, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...

December 10, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...

December 09, 2024

The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...

December 05, 2024
Generative AI represents more than just a technological advancement; it's a transformative shift in how businesses operate. Companies are beginning to tap into its ability to enhance processes, innovate products and improve customer experiences. According to a new IDC InfoBrief sponsored by Endava, 60% of CEOs globally highlight deploying AI, including generative AI, as their top modernization priority to support digital business ambitions over the next two years ...
December 04, 2024

Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...

December 03, 2024

We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...