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The CMDB/CMS in the Digital Age: More Present Than You Might Think

Dennis Drogseth

Insofar as news and media comes and goes in waves, rising and falling on areas of attention that sometimes engender self-created storms (positive and negative), the configuration management database (CMDB) is currently residing in a valley, not a crest. As tech headlines flash across my email, at least, the CMDB, and its federated equivalent, the configuration management system (CMS), are almost never mentioned. And yet when I do research, dialog with IT, or support our consulting team, the CMDB/CMS many times still remains paramount.

Why the Disconnection?

To be honest I don't have all the answers, but some of it has to do with how markets get defined — rigidly and academically — so that attention often gets directed to only a subset of what's needed, and then quickly becomes frozen in time. This did a great deal to hinder the CMDB's evolution and effectiveness, and still puts it in a far smaller box than it deserves to be in.

Another reason is that when industry attention peaked a decade ago, in many respects CMDB technology wasn't up to the task. This factor was exacerbated by a general trend to see the CMDB vision as a monolithic answer to every possible IT concern, without attention to use case, relevance, and currency. As such many IT organizations imagined that putting all their data in one place would, in and of itself, turn out to be transformative, something like buying a car without knowing how to drive or even how to fill it with gas.

And finally, all the attention given to cloud, microservices and agile has at times seemed to challenge the validity of the CMDB, in particular given the need for dynamic currency.

Why the CMDB/CMS is More Present Than You Might Think

But as I hope to make clear in a webinar on July 24, the CMDB, the CMS, and effective discovery and dependency mapping (DDM) are actually more relevant now than ever. CMDB/CMS/DDM technology has evolved considerably in the last decade, and is continuing to evolve, to become far more dynamic, and in some cases truly real-time.

And where do these technologies play?

■ Collectively these technologies can become lynch pins for more effective change, asset, performance, and capacity management.

■ They can help accelerate DevOps effectiveness, including pre-production provisioning, managing cloud compliance issues, and ensuring that operations and development really are on the same team.

■ In recent EMA research, the CMDB/CMS was shown to be a valuable asset in unifying security and operations teams for more efficient SecOps initiatives.

■ And both in EMA consulting and multiple aspects of EMA research, investments in the CMDB/CMS and DDM have become pivotal for effective cloud migration and optimization of cloud resources on an ongoing basis over time.

A Few More Proof Points

Here are just a few specifics taken in large part from EMA's consulting practice. When asked about "why invest in CMDB/CMS and DDM," top priorities included:

■ Decreases time to resolve technical problems

■ Breaks down barriers between technology silos

■ Allows automation and advanced analytics to be implemented

■ Facilitates an enterprise IT dashboard

■ Reduces long-term costs of IT services

And some specific examples of benefits taken as well from EMA's history with CMDB/CMS deployments:

■ US Financial Services company reduced MTTR by 70% by providing consistent and holistic services map with asset and inventories.

■ US MSP able to reconcile disputes regarding infrastructure spends. $9M spend over 3 years reduced by $2.5M by better understanding inventory.

■ US Healthcare organization reduced MTTR, downtime, and outages by 40% by implementing a CMDB. Savings returned 300% ROI over several years.

And from EMA's 2017 research on IT service management:

■ Those who were "extremely successful" in their ITSM-related initiatives were twice as likely to own a CMDB/CMS than "somewhat successful" or "unsuccessful."

■ They were also three times more likely to federate.

■ They were considerably more aggressive in exploring CMDB/CMS-related use cases.

■ They were seven times more likely to have plans to associate discovery and dependency mapping with the CMDB/CMS.

■ And they were significantly more likely to have deployed DDM capabilities.

So on to the Webinar

These are just a few examples of data I will be sharing in the webinar on July 24 referenced above. Beyond sharing more specifics of how CMDB/CMS can and has achieved value, I'll also provide an introduction to our deployment methodology achieved over the years through our consulting practice. Looking forward to your thoughts and comments.

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The CMDB/CMS in the Digital Age: More Present Than You Might Think

Dennis Drogseth

Insofar as news and media comes and goes in waves, rising and falling on areas of attention that sometimes engender self-created storms (positive and negative), the configuration management database (CMDB) is currently residing in a valley, not a crest. As tech headlines flash across my email, at least, the CMDB, and its federated equivalent, the configuration management system (CMS), are almost never mentioned. And yet when I do research, dialog with IT, or support our consulting team, the CMDB/CMS many times still remains paramount.

Why the Disconnection?

To be honest I don't have all the answers, but some of it has to do with how markets get defined — rigidly and academically — so that attention often gets directed to only a subset of what's needed, and then quickly becomes frozen in time. This did a great deal to hinder the CMDB's evolution and effectiveness, and still puts it in a far smaller box than it deserves to be in.

Another reason is that when industry attention peaked a decade ago, in many respects CMDB technology wasn't up to the task. This factor was exacerbated by a general trend to see the CMDB vision as a monolithic answer to every possible IT concern, without attention to use case, relevance, and currency. As such many IT organizations imagined that putting all their data in one place would, in and of itself, turn out to be transformative, something like buying a car without knowing how to drive or even how to fill it with gas.

And finally, all the attention given to cloud, microservices and agile has at times seemed to challenge the validity of the CMDB, in particular given the need for dynamic currency.

Why the CMDB/CMS is More Present Than You Might Think

But as I hope to make clear in a webinar on July 24, the CMDB, the CMS, and effective discovery and dependency mapping (DDM) are actually more relevant now than ever. CMDB/CMS/DDM technology has evolved considerably in the last decade, and is continuing to evolve, to become far more dynamic, and in some cases truly real-time.

And where do these technologies play?

■ Collectively these technologies can become lynch pins for more effective change, asset, performance, and capacity management.

■ They can help accelerate DevOps effectiveness, including pre-production provisioning, managing cloud compliance issues, and ensuring that operations and development really are on the same team.

■ In recent EMA research, the CMDB/CMS was shown to be a valuable asset in unifying security and operations teams for more efficient SecOps initiatives.

■ And both in EMA consulting and multiple aspects of EMA research, investments in the CMDB/CMS and DDM have become pivotal for effective cloud migration and optimization of cloud resources on an ongoing basis over time.

A Few More Proof Points

Here are just a few specifics taken in large part from EMA's consulting practice. When asked about "why invest in CMDB/CMS and DDM," top priorities included:

■ Decreases time to resolve technical problems

■ Breaks down barriers between technology silos

■ Allows automation and advanced analytics to be implemented

■ Facilitates an enterprise IT dashboard

■ Reduces long-term costs of IT services

And some specific examples of benefits taken as well from EMA's history with CMDB/CMS deployments:

■ US Financial Services company reduced MTTR by 70% by providing consistent and holistic services map with asset and inventories.

■ US MSP able to reconcile disputes regarding infrastructure spends. $9M spend over 3 years reduced by $2.5M by better understanding inventory.

■ US Healthcare organization reduced MTTR, downtime, and outages by 40% by implementing a CMDB. Savings returned 300% ROI over several years.

And from EMA's 2017 research on IT service management:

■ Those who were "extremely successful" in their ITSM-related initiatives were twice as likely to own a CMDB/CMS than "somewhat successful" or "unsuccessful."

■ They were also three times more likely to federate.

■ They were considerably more aggressive in exploring CMDB/CMS-related use cases.

■ They were seven times more likely to have plans to associate discovery and dependency mapping with the CMDB/CMS.

■ And they were significantly more likely to have deployed DDM capabilities.

So on to the Webinar

These are just a few examples of data I will be sharing in the webinar on July 24 referenced above. Beyond sharing more specifics of how CMDB/CMS can and has achieved value, I'll also provide an introduction to our deployment methodology achieved over the years through our consulting practice. Looking forward to your thoughts and comments.

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 ...