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How to Improve Your APM Deployment with CMDB

Ramy Hassanein

In a perfect world, deployments would always go as planned – however in the world of IT we all know that is not the case. There's a long list of reasons why Application Performance Management (APM) deployments might fail. Some reasons can be aligned to people, others to process and finally some to product.

Today's applications are no longer simple or static in nature. Applications now cover everything from mobile to mainframe and can reside within your datacenter to the cloud as well as everything in between. With that, many questions start to arise:

How do we know what to manage?

How do we determine what the application is made of?

Do we need to deploy an agent?

If so, what kind of agent is needed?

These are all great questions and probably only a handful of examples, but the first task that needs to be addressed is prioritizing applications along with their impact on the business. Higher priority applications are the ones you need to invoke management on first and where detailed transactions coupled with customer experience matter the most. Once you have your "Hit List" the next step is to look under the hood and determine what makes up these applications.

Enter the Configuration Management Database

That is where the Configuration Management Database (CMDB) comes into play. Organizations have spent a tremendous amount of time and resources properly building out and furthermore keeping their CMDB, CIs & relationships accurate. Multiple sources that are designated as Metadata Repositories (MDRs) provide a lot of information to the CMDB so that it becomes the single source of truth within an organizations. So why not leverage all that hard work and precise data?

Within the CMDB and simply by taking a look at the visualizer service map of a particular service you can determine:

1. Who consumes the service>

2. What OS & Servers host the service?

3. What platform is used (eg. Java, .NET…)?

4. What datacenter?

5. Does Production deployment of this app looks like UAT or Test or QA?

And the list goes on.

Leveraging CMDB Can Help You Get Out of Reactive Mode

Historically APM and ITIL have always been a perfect match. It's not just about getting out of reactive mode anymore, but the union is so much more than just password resets or outages and application support. With the focus on continual process improvement, APM can leverage ITIL to help monitor Service Level Agreements (SLAs) metrics which works hand in hand with Service Support and Service Lifecycle. Typically, when we think of this harmonious integration we forget to include the CMDB, and just think about traditional ticket life cycles and MTTR.

When new changes happen in an organization, the first place that should know about it is the Service Desk and the CMDB updated accordingly.

Therefore, a great tool to leverage during any phase of an APM deployment would be your CMBD and its service maps. It can help determine where and what is needed to make sure you are managing your applications correctly with all its components. Whether in the beginning phases of an initial deployment of APM or expanding deployments of agents within an organization, you can use the CMDB's service views to assist. This can even help break down silos that might exist in larger organizations and get APM out of isolation.

Ramy Hassanein is Sr. Principal Consultant at CA Technologies.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

How to Improve Your APM Deployment with CMDB

Ramy Hassanein

In a perfect world, deployments would always go as planned – however in the world of IT we all know that is not the case. There's a long list of reasons why Application Performance Management (APM) deployments might fail. Some reasons can be aligned to people, others to process and finally some to product.

Today's applications are no longer simple or static in nature. Applications now cover everything from mobile to mainframe and can reside within your datacenter to the cloud as well as everything in between. With that, many questions start to arise:

How do we know what to manage?

How do we determine what the application is made of?

Do we need to deploy an agent?

If so, what kind of agent is needed?

These are all great questions and probably only a handful of examples, but the first task that needs to be addressed is prioritizing applications along with their impact on the business. Higher priority applications are the ones you need to invoke management on first and where detailed transactions coupled with customer experience matter the most. Once you have your "Hit List" the next step is to look under the hood and determine what makes up these applications.

Enter the Configuration Management Database

That is where the Configuration Management Database (CMDB) comes into play. Organizations have spent a tremendous amount of time and resources properly building out and furthermore keeping their CMDB, CIs & relationships accurate. Multiple sources that are designated as Metadata Repositories (MDRs) provide a lot of information to the CMDB so that it becomes the single source of truth within an organizations. So why not leverage all that hard work and precise data?

Within the CMDB and simply by taking a look at the visualizer service map of a particular service you can determine:

1. Who consumes the service>

2. What OS & Servers host the service?

3. What platform is used (eg. Java, .NET…)?

4. What datacenter?

5. Does Production deployment of this app looks like UAT or Test or QA?

And the list goes on.

Leveraging CMDB Can Help You Get Out of Reactive Mode

Historically APM and ITIL have always been a perfect match. It's not just about getting out of reactive mode anymore, but the union is so much more than just password resets or outages and application support. With the focus on continual process improvement, APM can leverage ITIL to help monitor Service Level Agreements (SLAs) metrics which works hand in hand with Service Support and Service Lifecycle. Typically, when we think of this harmonious integration we forget to include the CMDB, and just think about traditional ticket life cycles and MTTR.

When new changes happen in an organization, the first place that should know about it is the Service Desk and the CMDB updated accordingly.

Therefore, a great tool to leverage during any phase of an APM deployment would be your CMBD and its service maps. It can help determine where and what is needed to make sure you are managing your applications correctly with all its components. Whether in the beginning phases of an initial deployment of APM or expanding deployments of agents within an organization, you can use the CMDB's service views to assist. This can even help break down silos that might exist in larger organizations and get APM out of isolation.

Ramy Hassanein is Sr. Principal Consultant at CA Technologies.

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...