Using Monitoring to Bridge the Gap Between Process and Technology
November 14, 2013

Ivar Sagemo
AIMS Innovation

Share this

For several decades now, IT infrastructure has been the fundamental engine of business processes. Going from the abstract idea of a business process to a smoothly running technical implementation of that process ought to be straightforward, right? But as we know, such is not the case. Technology has improved by leaps and bounds, but our ability to leverage it to our best business effect isn't nearly as well optimized. Too often, IT has become its own little world, all but divorced from the business side and unable to take into account business goals and strategies in the way services are managed.

Consider, for instance, solutions such as Microsoft BizTalk and the way BizTalk-driven processes are typically implemented:

• Company requirements translate into logistic rules and requests. For retail stores for example, packages need to be shipped on time or warehouse stores supplemented adequately. Ideally at the lowest cost and the highest reliability.

• The flow of information is then determined and logical rights are assigned to make that happen. When a company specifies where shipments should go and which are rush orders, as the shipments move towards a destination, updates must be provided to a website. Business logistics such as these take on a technical slant when processes are implemented.

Instead of focusing on whether information is actually getting from one location to another in a timely and accurate manner, monitoring services generally miss the mark and revolve around issues such as the CPU utilization of underlying systems, available storage of associated databases, etc.

Also problematic is that thresholds are typically determined arbitrarily and don't always correlate to actual success or failure of the business process it was derived from. This has the effect of making it harder and slower to solve problems when they occur.

It's also an essentially reactive approach: "Wait until something goes wrong and then fix it." Much better would be: "Anticipate what is likely to go wrong, and ensure that it doesn't."

And what happens when the process changes?

Imagine, for instance, that a new business system is brought in-house such as a new sales tool, involving a whole new data source. How easy or difficult is it for a BizTalk monitoring system to adapt in parallel? Usually, a series of manual modifications are needed — possibly by outside consultants specializing in BizTalk. This is slow, cumbersome, and operationally costly. It also introduces the possibility of inadvertent mistakes that could easily compromise monitoring when the whole point was to improve it.

Building a Better Mousetrap

Instead of that all-too-familiar paradigm, let's imagine something quite different.

• Smart discovery. What if BizTalk monitoring systems, once deployed, could automatically discover the business processes that led to the IT decision such as how information flows, critical dependencies, normal performance at different times and under different conditions — and thus establish accurate thresholds needed to ensure effective performance?

• Intuitive design. What if, instead of having to call in a consultant when things go belly-up, IT people could look at a topological map and understand the issue themselves? What if they could drill down into that map, getting specific technical insight needed to fix the problem quickly?

• Out-of-box best practices. What if your BizTalk monitoring system already knew the kinds of monitoring problems other companies have faced, and the best ways to avoid those problems? What if your organization could benefit from that kind of insight without having to call in a consultant?

While, the goal of every organization is to take those great ideas developed at the process stage and carry them through to the final IT implementation, we know that solutions change after initial deployment: new processes, new partners and changing business demands mean processes shift as the journey toward final implementation moves along. We'd like to think that monitoring could help in that journey.

Ivar Sagemo is CEO of AIMS Innovation.

Share this

The Latest

March 27, 2023

To achieve maximum availability, IT leaders must employ domain-agnostic solutions that identify and escalate issues across all telemetry points. These technologies, which we refer to as Artificial Intelligence for IT Operations, create convergence — in other words, they provide IT and DevOps teams with the full picture of event management and downtime ...

March 23, 2023

APMdigest and leading IT research firm Enterprise Management Associates (EMA) are partnering to bring you the EMA-APMdigest Podcast, a new podcast focused on the latest technologies impacting IT Operations. In Episode 2 - Part 1 Pete Goldin, Editor and Publisher of APMdigest, discusses Network Observability with Shamus McGillicuddy, Vice President of Research, Network Infrastructure and Operations, at EMA ...

March 22, 2023

CIOs have stepped into the role of digital leader and strategic advisor, according to the 2023 Global CIO Survey from Logicalis ...

March 21, 2023

Synthetic monitoring is crucial to deploy code with confidence as catching bugs with E2E tests on staging is becoming increasingly difficult. It isn't trivial to provide realistic staging systems, especially because today's apps are intertwined with many third-party APIs ...

March 20, 2023

Recent EMA field research found that ServiceOps is either an active effort or a formal initiative in 78% of the organizations represented by a global panel of 400+ IT leaders. It is relatively early but gaining momentum across industries and organizations of all sizes globally ...

March 16, 2023

Managing availability and performance within SAP environments has long been a challenge for IT teams. But as IT environments grow more complex and dynamic, and the speed of innovation in almost every industry continues to accelerate, this situation is becoming a whole lot worse ...

March 15, 2023

Harnessing the power of network-derived intelligence and insights is critical in detecting today's increasingly sophisticated security threats across hybrid and multi-cloud infrastructure, according to a new research study from IDC ...

March 14, 2023

Recent research suggests that many organizations are paying for more software than they need. If organizations are looking to reduce IT spend, leaders should take a closer look at the tools being offered to employees, as not all software is essential ...

March 13, 2023

Organizations are challenged by tool sprawl and data source overload, according to the Grafana Labs Observability Survey 2023, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.

March 09, 2023

An array of tools purport to maintain availability — the trick is sorting through the noise to find the right one. Let us discuss why availability is so important and then unpack the ROI of deploying Artificial Intelligence for IT Operations (AIOps) during an economic downturn ...