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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

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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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...