BSM and the Art of Discovery
Monitoring, Management and BSM: Discovery and Automation
September 22, 2011
Richard Ptak
Share this

Successfully implementing BSM in the daily operations of a data center brings into play a multitude of skills, tools, processes and personalities. Boundaries, responsibilities, authorities and accountabilities must be identified, negotiated and exercised in a complex, dynamic series of interactions. Properly done, the result will be a smooth, consistent and near problem-free operations environment where the goals of both IT and business partners are achieved with a minimum of effort.

OOPS! Someone has lost touch with the real world while chasing unicorns. The reality is that a successful implementation is merely the first step. Today’s data center and business service operations and delivery environments are, and will continue to be, highly dynamic. They require active, intelligent and increasingly automated oversight and control of available assets (including infrastructure, processes, etc.) for reliable service delivery.

Doing this requires active monitoring and management of the infrastructure, assets and processes involved in and impacting the delivery of a service. To assure reliable delivery at the level that meets business needs, services must be monitored and data made available to various business and operations staff.

The needed data includes:

- Performance and availability of the service

- The assets used by a service and their impact on service delivery

- Other assets in the environment – in-use/idle/available configurations and capabilities (bandwidth, size, speeds, etc.)

- Who/which service is using these assets

- What services assets can support

- Interdependencies between services

- The impact of re-assignment or change (priority to business, value received, cost of change, etc.)

Information based on this data must be available in a quickly comprehensible format to a wide list of consumers. This list will include operations staff, administration staff, service managers, line-of-business managers, as well as executives who want assurance that service SLAs are being met.

Getting accurate and timely data about the infrastructure and processes involved in service delivery doesn’t happen automatically. You need to assure that your monitoring solution will discover and report on process and infrastructure changes that will impact specific services. Typically, this involves building a model of the assets, infrastructure and processes used in service delivery and definition of dependencies.

Business requires change and adaptation to attract, service, and maintain customer (or user) satisfaction. New services must be developed and delivered. Infrastructure (both virtual and physical) will be altered, reassigned, and reconfigured as it adapts to evolving environmental, operational and business needs. Today’s highly dynamic data center operations will rapidly make a static model outdated and useless.

What is required is a monitoring solution with automated capabilities to build on and update the basic modeling engine. It must automatically discover and be able to integrate changes in these processes and infrastructure. It must be able to inform when such changes will affect service delivery.

Typically, infrastructure elements are part of the delivery of multiple, different services. Such elements can be manipulated by staff that are unaware of or don’t care about the impact on other services when changes are made. For example, one can imagine an infrastructure change that optimizes a delivery path for Service A under stress conditions. Service B shares infrastructure elements with Service A. The changes don’t normally affect B’s delivery, but will disrupt Service B when invoked. It is also possible to make changes that will benefit Service B (i.e. provide a redundant service path), but mask a failure in Service B primary resources. Only intelligent monitoring with an ability to create correlated service-oriented infrastructure views will provide the holistic visibility into infrastructure utilization needed to avoid such potential issues.

BSM requires dynamic, intelligent asset management able to provide a range of IT and business views that accurately represent service delivery and the operational environment (virtual and physical) that enables delivery. A critical element supporting that management is a monitoring solution that can automatically discover and dynamically adjust to changes in assets and infrastructure. And, that can detect and report on changes in shared assets that may affect service delivery.

About Rich Ptak

Rich Ptak, Managing Partner at Ptak, Noel & Associates LLC. has over 30 years experience in systems product management, working closely with Fortune 50 companies in developing product direction and strategies at a global level. Previously Ptak held positions as Senior Vice President at Hurwitz Group and D.H. Brown Associates. Earlier in his career he held engineering and marketing management positions with Western Electric’s Electronic Switch Manufacturing Division and Digital Equipment Corporation. He is frequently quoted in major business and trade press. Ptak holds a master’s in business administration from the University of Chicago and a master of science in engineering from Kansas State University.

Related Links:

Share this

The Latest

June 20, 2024

The total cost of downtime for Global 2000 companies is $400 billion annually — or 9% of profits — when digital environments fail unexpectedly, according to The Hidden Costs of Downtime, a new report from Splunk ...

June 18, 2024

With the rise of digital transformation and the increasing reliance on applications for business operations, the need for application performance management (APM) has become more critical ... This blog explains what APM is all about, its significance and key features ...

June 17, 2024

Generative AI (GenAI) has captured significant attention by redefining content creation and automation processes. Despite this surge in GenAI's popularity, it's crucial to highlight the continuous, vital role of machine learning (ML) in underpinning crucial business functions. This era is not about GenAI replacing ML; rather, it's about these technologies collaborating to supercharge intelligent automation across industries ...

June 13, 2024

As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical ... In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency ...

June 12, 2024

In May, New Relic published the State of Observability for IT and Telecommunications Report to share insights, statistics, and analysis on the adoption and business value of observability for the IT and telecommunications industries. Here are five key takeaways from the report ...

June 11, 2024
Over the past decade, the pace of technological progress has reached unprecedented levels, where fads both quickly rise and shrink in popularity. From AI and composability to augmented reality and quantum computing, the toolkit of emerging technologies is continuing to expand, creating a complex set of opportunities and challenges for businesses to address. In order to keep pace with competitors, avoiding new models and ideas is not an option. It's critical for organizations to determine whether an idea has transformative properties or is just a flash in the pan — a challenge tackled in Endava's new 2024 Emerging Tech Unpacked Report ...
June 10, 2024

The rapidly evolving nature of the industry, particularly with the recent surge in generative AI, can catch firms off-guard, leaving them scrambling to adapt to new trends without the necessary funds ... This blog will discuss effective strategies for optimizing cloud expenses to free up funds for emerging AI technologies, ensuring companies can adapt and thrive without financial strain ...

June 06, 2024

Software developers are spending more than 57% of their time being dragged into "war rooms" to solve application performance issues, rather than investing their time developing new, cutting-edge software applications as part of their organization's innovation strategy, according to a new report from Cisco ...

June 05, 2024

Generative Artificial Intelligence (GenAI) is continuing to see massive adoption and expanding use cases, despite some ongoing concerns related to bias and performance. This is clear from the results of Applause's 2024 GenAI Survey, which examined how digital quality professionals use and experience GenAI technology ... Here's what we found ...

June 04, 2024

Many times customers want to know why their measured performance doesn't match the speed advertised (by the platform vendor, software vendor, network vendor, etc). Assuming the advertised speeds are (a) within the realm of physical possibility and obeys the laws of physics, and (b) are real achievable speeds and not "click-bait," there are at least ten reasons for being unable to achieve advertised speeds. In situations where customer expectations and measured performance don't align, use the following checklist to help determine the reason(s) why ...