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CMDB Systems in the Age of Cloud and Agile - Why We Wrote the Book

Dennis Drogseth

Everyone presumably loves a good mystery. And in fact the questions “What is a CMDB?” and “What is its relevance in the age of (cloud) (agile) (fill-in-the-blank)?” often provoke such conflicted industry responses that they do suggest the presence of some mystery underfoot.

But we didn’t set out to write a mystery novel per se. Instead, CMDB Systems: Making Change Work in the Age of Cloud and Agile is designed to serve as both a guide and a chronicle of real-world experiences — honoring the mystery by sharing different points of view, while trying to help our readers optimize their CMDB planning for what is increasingly becoming a positive and successful initiative.

What Are We Really Talking About When We Say “CMDB Systems?”

In the words of one of my industry colleagues, the elusive “CMDB unicorn” can possess magic charms, but remains too often a mythic beast. In the popular imagination, the CMDB, or configuration management database, is too often a dumping ground for data that will presumably find value once it’s aggregated — which is something like buying a car without knowing how to drive and expecting to go on a road trip. The results have often met with failure, and indeed, “failure” is the first word of the book.

The name itself doesn’t really help the case. Taken from the IT Infrastructure Library (ITIL) the configuration management database isn’t about configuration management in the common vernacular, and it is really much more than a database. The term works well within ITIL’s specific guidelines, but unfortunately it’s too often a misnomer once it’s taken out into Main Street.

CMDB Systems — as we have come to understand them — require a way of reconciling multiple sources into a modeled view of physical and logical interdependencies. This is becoming an increasingly automated and dynamic capability in many deployments. Moreover as a federated set of resources, CMDB Systems may in some cases involve mashups as much as data stores for certain use cases.

From a process perspective, CMDBs require a more collective, service-aware way of working that should help to prioritize changes, enable more effective capacity planning, and help to accelerate IT’s ability to address critical business and IT initiatives. These may range from the move to cloud, to data center consolidation, to improved business service performance, to name a few.

But successful deployments don’t try to do everything at once. They build from use case to use case in a manner suited to their own, unique environmental requirements — which underscores our reasons for making “CMDB Systems” plural. It also lies behind our preference for not calling them “single sources of truth” but use-case-driven “systems of relevance”.

Like IT organizations, CMDB Systems are not generic, but vary based on use case, scope, resources and even culture. While the term and concept for CMDB is a creation of ITIL, one of the people interviewed in our book led a development team and purchased a CMDB to force operations to become more agile — using scrum!

Why Did We Feel That WE Should Take All This On?

Image removed.We had more than a mystery of definitions and intentions on our hands when we began writing the book. Enterprise Management Associations has spent more than a decade researching CMDB-related adoptions and providing consulting services to IT organizations with CMDB initiatives. We built on that experience in order to develop our book, and continued to enhance our learning curve with fresh interviews and dialogs with both vendors and IT. In the spirit of the elusive unicorn, our own vision of the CMDB continued to evolve with these new insights, giving the work a journalistic feeling for discovery rather than making it a cut-and-dried academic tutorial. Our goal was as much to paint a landscape as it was to provide a checklist — although we tried to be conscientious about doing both.

Is CMDB/CMS More Relevant Than Ever?

Do we truly believe that in 2015 the CMDB/CMS is more relevant than ever in the real world, or is it still a magic unicorn, more myth than beast?

In answer to this I’ll provide just a few data points. In Ecosystem Cloud: Managing and Optimizing IT Services Across the Full Cloud Mosaic (EMA 2013) data showed that those very successful with their cloud deployments were nearly twice as likely to have CMDBs and/or ADDM capabilities deployed as those who were less successful.

Data just in from EMA research (and therefore not available to us when we wrote the book), shows the following:

■ 80% owned or were about to purchase a CMDB/CMS-related technology. Two years ago it was only 52%.

■ Performance-related service impact edged out asset management and change management as the prime CMDB-related use case for the first time ever in our research.

■ 79% have deployed, or had plans to deploy ADDM.

■ Those who were extremely successful were twice as likely to have a CMDB-related technology deployed as those who were not successful.

■ Those who were only somewhat or not successful were 20 times less likely to have ADDM deployed or in plan.

Has the elusive unicorn come out of the forest yet? And is it ready to do more than merely inspire a hopeful myth? Our data, our conversations, and our consulting experience over the years would suggest, strongly, that the answer is indeed: yes. We hope our book will serve as both a guide, and as a stimulant to industry dialog — to help IT emerge into this new era of mobile, cloud and agile far more proactively, while standing on much more solid ground.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

CMDB Systems in the Age of Cloud and Agile - Why We Wrote the Book

Dennis Drogseth

Everyone presumably loves a good mystery. And in fact the questions “What is a CMDB?” and “What is its relevance in the age of (cloud) (agile) (fill-in-the-blank)?” often provoke such conflicted industry responses that they do suggest the presence of some mystery underfoot.

But we didn’t set out to write a mystery novel per se. Instead, CMDB Systems: Making Change Work in the Age of Cloud and Agile is designed to serve as both a guide and a chronicle of real-world experiences — honoring the mystery by sharing different points of view, while trying to help our readers optimize their CMDB planning for what is increasingly becoming a positive and successful initiative.

What Are We Really Talking About When We Say “CMDB Systems?”

In the words of one of my industry colleagues, the elusive “CMDB unicorn” can possess magic charms, but remains too often a mythic beast. In the popular imagination, the CMDB, or configuration management database, is too often a dumping ground for data that will presumably find value once it’s aggregated — which is something like buying a car without knowing how to drive and expecting to go on a road trip. The results have often met with failure, and indeed, “failure” is the first word of the book.

The name itself doesn’t really help the case. Taken from the IT Infrastructure Library (ITIL) the configuration management database isn’t about configuration management in the common vernacular, and it is really much more than a database. The term works well within ITIL’s specific guidelines, but unfortunately it’s too often a misnomer once it’s taken out into Main Street.

CMDB Systems — as we have come to understand them — require a way of reconciling multiple sources into a modeled view of physical and logical interdependencies. This is becoming an increasingly automated and dynamic capability in many deployments. Moreover as a federated set of resources, CMDB Systems may in some cases involve mashups as much as data stores for certain use cases.

From a process perspective, CMDBs require a more collective, service-aware way of working that should help to prioritize changes, enable more effective capacity planning, and help to accelerate IT’s ability to address critical business and IT initiatives. These may range from the move to cloud, to data center consolidation, to improved business service performance, to name a few.

But successful deployments don’t try to do everything at once. They build from use case to use case in a manner suited to their own, unique environmental requirements — which underscores our reasons for making “CMDB Systems” plural. It also lies behind our preference for not calling them “single sources of truth” but use-case-driven “systems of relevance”.

Like IT organizations, CMDB Systems are not generic, but vary based on use case, scope, resources and even culture. While the term and concept for CMDB is a creation of ITIL, one of the people interviewed in our book led a development team and purchased a CMDB to force operations to become more agile — using scrum!

Why Did We Feel That WE Should Take All This On?

Image removed.We had more than a mystery of definitions and intentions on our hands when we began writing the book. Enterprise Management Associations has spent more than a decade researching CMDB-related adoptions and providing consulting services to IT organizations with CMDB initiatives. We built on that experience in order to develop our book, and continued to enhance our learning curve with fresh interviews and dialogs with both vendors and IT. In the spirit of the elusive unicorn, our own vision of the CMDB continued to evolve with these new insights, giving the work a journalistic feeling for discovery rather than making it a cut-and-dried academic tutorial. Our goal was as much to paint a landscape as it was to provide a checklist — although we tried to be conscientious about doing both.

Is CMDB/CMS More Relevant Than Ever?

Do we truly believe that in 2015 the CMDB/CMS is more relevant than ever in the real world, or is it still a magic unicorn, more myth than beast?

In answer to this I’ll provide just a few data points. In Ecosystem Cloud: Managing and Optimizing IT Services Across the Full Cloud Mosaic (EMA 2013) data showed that those very successful with their cloud deployments were nearly twice as likely to have CMDBs and/or ADDM capabilities deployed as those who were less successful.

Data just in from EMA research (and therefore not available to us when we wrote the book), shows the following:

■ 80% owned or were about to purchase a CMDB/CMS-related technology. Two years ago it was only 52%.

■ Performance-related service impact edged out asset management and change management as the prime CMDB-related use case for the first time ever in our research.

■ 79% have deployed, or had plans to deploy ADDM.

■ Those who were extremely successful were twice as likely to have a CMDB-related technology deployed as those who were not successful.

■ Those who were only somewhat or not successful were 20 times less likely to have ADDM deployed or in plan.

Has the elusive unicorn come out of the forest yet? And is it ready to do more than merely inspire a hopeful myth? Our data, our conversations, and our consulting experience over the years would suggest, strongly, that the answer is indeed: yes. We hope our book will serve as both a guide, and as a stimulant to industry dialog — to help IT emerge into this new era of mobile, cloud and agile far more proactively, while standing on much more solid ground.

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...