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True or False? Integration Costs are Set to Become Higher than Application Costs

Ivar Sagemo

The talk around the IT water cooler is that integration costs are on track to become higher than application costs within five years, with integration becoming more complex and burdensome. But like all predictions, what can we believe? Should we start to prepare for the worst? And, most important of all, who's the one to blame for this problem?

The experts predict that integration hassles are on the horizon. Gartner predicts that:

- By 2018, more than 50% of the cost of implementing 90% of new large systems will be spent on integration

- By 2016, midsize to large companies will spend 33% more on application integration than in 2013*

Ovum also estimates that spending on integration middleware is growing at a compound growth rate of 9.1% between 2012 and 2018, reaching $17.9 billion by the end of 2018.**

Whether you come from the business or IT side of an enterprise, nobody can deny the fact that the introduction of BYOD, the strong use of the cloud and dependency on mobile and social media have all increased the load that IT systems have to bear.

In addition, organizations are increasingly focused on integrating with customers, suppliers and partners. Integrating with external systems adds to the complexity. It's only logical that connecting these disparate systems and adding the glue to make them all integrate seamlessly has to be more complex than it used to be. But does adding in these elements really create an integration Armageddon?

Integration Glue

Ovum's Saurabh Sharma says that organizations are now realizing that cloud computing and SaaS can lead to more information silos and greater integration complexity.

"SaaS vendors claim they provide web service APIs to ease the integration between SaaS and on-premise applications but APIs alone cannot ensure seamless interaction," he says.

IBM’s Doug Clark believes that a huge amount of time is spent integrating back office applications such as ERP and finance. Maintaining and integrating these applications swallows a lot of budget and, in the future, Clark predicts that companies will eventually want to integrate ERP and finance with cloud applications.***

One thing for sure is that disparate silos of information will continue to increase, and they will become more complex and abundant with greater care needed to integrate them correctly. Added to this, mobile applications have now moved beyond handset-based systems and are now used to connect to backend databases to pull up information while a user is on the move.

Enterprises are working to integrate BYOD and cloud as well as connecting with supplier customer data. At AIMS Innovation, we've seen that they are engaging in point-to-point integration, which is quick but will only backfire on TCO, complexity and scalability. Point-to-point integration improves the speed of integration but does not provide that strong, robust information flow that's needed to keep systems connected correctly.

With applications such as Hubspot, Salesforce or Zendesk, when you grow as an organization using these products, you need to integrate these systems into your network and you want to do it fast. Many providers have out-of-the-box integrations ready. But this is a less feature-rich form of integration than ones being done by integration engines such as BizTalk, Oracle and IBM. Point-to-point integration is often a "quick-win" but the downside is that you end up with integration spaghetti. It's costly to maintain, not standardized and person dependent.

Do We Have a Solution?

Point-to-point integration will lead to integration chaos — that much is certain. Even with integration engines, the growing use of cloud, BYOD and increased data volume will also lead to integration challenges.

Microsoft and others help by introducing integration platforms as cloud services to better facilitate hybrid /cloud scenarios. They also deliver integration as a service with flexible setup and billing, reducing TCO in a pay-as-you-go model.

Solutions such as monitoring your integration platform or using smart monitoring tools will also help to alleviate this problem. Monitoring is one of the tools that can pinpoint errors and give you granular insight into how each system is functioning, how effectively applications are integrating with each other and where performance is impacted.

Whether integration will become the IT burden that exceeds application costs has yet to be seen. The reality is that it will become more complex and important to organizations and it will emerge as one of the top IT challenges along with downtime and security for enterprises going forward.

Ivar Sagemo is CEO of AIMS Innovation.

* Gartner, Predicts 2013: Application Integration

** Ovum View, Saurabh Sharma, March 1, 2013. Global integration middleware market to hit $17.9 billion by 2018

*** Information Age, December 4, 2012. Cloud brings application integration out of the shadows

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True or False? Integration Costs are Set to Become Higher than Application Costs

Ivar Sagemo

The talk around the IT water cooler is that integration costs are on track to become higher than application costs within five years, with integration becoming more complex and burdensome. But like all predictions, what can we believe? Should we start to prepare for the worst? And, most important of all, who's the one to blame for this problem?

The experts predict that integration hassles are on the horizon. Gartner predicts that:

- By 2018, more than 50% of the cost of implementing 90% of new large systems will be spent on integration

- By 2016, midsize to large companies will spend 33% more on application integration than in 2013*

Ovum also estimates that spending on integration middleware is growing at a compound growth rate of 9.1% between 2012 and 2018, reaching $17.9 billion by the end of 2018.**

Whether you come from the business or IT side of an enterprise, nobody can deny the fact that the introduction of BYOD, the strong use of the cloud and dependency on mobile and social media have all increased the load that IT systems have to bear.

In addition, organizations are increasingly focused on integrating with customers, suppliers and partners. Integrating with external systems adds to the complexity. It's only logical that connecting these disparate systems and adding the glue to make them all integrate seamlessly has to be more complex than it used to be. But does adding in these elements really create an integration Armageddon?

Integration Glue

Ovum's Saurabh Sharma says that organizations are now realizing that cloud computing and SaaS can lead to more information silos and greater integration complexity.

"SaaS vendors claim they provide web service APIs to ease the integration between SaaS and on-premise applications but APIs alone cannot ensure seamless interaction," he says.

IBM’s Doug Clark believes that a huge amount of time is spent integrating back office applications such as ERP and finance. Maintaining and integrating these applications swallows a lot of budget and, in the future, Clark predicts that companies will eventually want to integrate ERP and finance with cloud applications.***

One thing for sure is that disparate silos of information will continue to increase, and they will become more complex and abundant with greater care needed to integrate them correctly. Added to this, mobile applications have now moved beyond handset-based systems and are now used to connect to backend databases to pull up information while a user is on the move.

Enterprises are working to integrate BYOD and cloud as well as connecting with supplier customer data. At AIMS Innovation, we've seen that they are engaging in point-to-point integration, which is quick but will only backfire on TCO, complexity and scalability. Point-to-point integration improves the speed of integration but does not provide that strong, robust information flow that's needed to keep systems connected correctly.

With applications such as Hubspot, Salesforce or Zendesk, when you grow as an organization using these products, you need to integrate these systems into your network and you want to do it fast. Many providers have out-of-the-box integrations ready. But this is a less feature-rich form of integration than ones being done by integration engines such as BizTalk, Oracle and IBM. Point-to-point integration is often a "quick-win" but the downside is that you end up with integration spaghetti. It's costly to maintain, not standardized and person dependent.

Do We Have a Solution?

Point-to-point integration will lead to integration chaos — that much is certain. Even with integration engines, the growing use of cloud, BYOD and increased data volume will also lead to integration challenges.

Microsoft and others help by introducing integration platforms as cloud services to better facilitate hybrid /cloud scenarios. They also deliver integration as a service with flexible setup and billing, reducing TCO in a pay-as-you-go model.

Solutions such as monitoring your integration platform or using smart monitoring tools will also help to alleviate this problem. Monitoring is one of the tools that can pinpoint errors and give you granular insight into how each system is functioning, how effectively applications are integrating with each other and where performance is impacted.

Whether integration will become the IT burden that exceeds application costs has yet to be seen. The reality is that it will become more complex and important to organizations and it will emerge as one of the top IT challenges along with downtime and security for enterprises going forward.

Ivar Sagemo is CEO of AIMS Innovation.

* Gartner, Predicts 2013: Application Integration

** Ovum View, Saurabh Sharma, March 1, 2013. Global integration middleware market to hit $17.9 billion by 2018

*** Information Age, December 4, 2012. Cloud brings application integration out of the shadows

Hot Topics

The Latest

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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