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Gartner: New Application Architectures Are Changing Network Traffic Patterns

Application traffic flows have become less deterministic, and infrastructure architects can no longer rely solely on centralized appliances to provide necessary application delivery and security services. New deployment models are emerging to help enterprises with this transition, and Gartner predicts that by 2018, at least three consolidated network service offerings will emerge with feature sets that span application delivery, global traffic distribution, optimization and security functions.

Joe Skorupa, VP and Distinguished Analyst at Gartner, explains how new application architectures are changing network traffic patterns:

Traditional applications supported a model that placed the data center at the center of all traffic flows. All application access was via the data center, which made it easy to insert security and application delivery capabilities between the client and their applications. However, new application architectures are changing network traffic patterns, taking application delivery controllers (ADCs), wide-area network optimization controllers (WOCs) and application security devices out of the data flow, forcing infrastructure architects to rethink their application delivery strategy to include cloud-based services.

Three new traffic patterns have emerged for application access:

■ Remote users directly accessing cloud services, thereby, bypassing the corporate WAN (including WAN optimization controller [WOCs]) and data center (including ADCs and secure Web gateways [SWGs]).

■ Mobile devices and apps directly accessing the mobile service provider's network, bypassing the corporate WAN (including WOCs) and going to the enterprise data center or external services.

■ Browser-based applications directly accessing multiple data sources within and outside the corporate data center to aggregate content. As a result, these applications bypass the corporate WAN (WOCs and ADCs) for portions of the application data/content.

The first two patterns reflect traditional application architectures modified with direct-to-Internet access from branch office/mobile devices to improve performance and offload the corporate WAN.

The third traffic pattern reflects a new style of application, whereby the browser has absorbed much of the functionality of the Web server. In this new model, the browser, through use of HTML5 and JavaScript, now aggregates content. This development disaggregates the data center functions into distributed application components/data sources. Additionally, it may bypass SWG services, as the application logic in the browser becomes the point of attach, and may have persistent, trusted, long-lived connections deep to the external services.

These developments represent a worst-case scenario for application delivery professionals who now find themselves responsible for the security and performance of applications that access data centers, services and networks that are beyond their control. The Internet of Things will only exacerbate this problem.

Application delivery professionals should move from a model of physical devices allocated to specific applications, to one that takes advantage of physical, virtual and cloud resident service elements to support the new device-/browser-/cloud-centric environment. By shifting to a service mindset, application delivery capabilities can be inserted where and when they make sense.

Driving closer integration of security and application delivery teams is also important as deployment modes converge and functional consolidation continues. It is likely that over-the-top (OTT) security providers will add application delivery capabilities, and application delivery providers will continue to enhance their security capabilities. These enhancements may come via in-house efforts, partnerships or acquisition. A single consistent approach to evaluating these offerings is required to ensure the appropriate capabilities are acquired at the best price. Making the security and application delivery teams jointly responsible for the decision increases the chances of an appropriate outcome.

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Gartner: New Application Architectures Are Changing Network Traffic Patterns

Application traffic flows have become less deterministic, and infrastructure architects can no longer rely solely on centralized appliances to provide necessary application delivery and security services. New deployment models are emerging to help enterprises with this transition, and Gartner predicts that by 2018, at least three consolidated network service offerings will emerge with feature sets that span application delivery, global traffic distribution, optimization and security functions.

Joe Skorupa, VP and Distinguished Analyst at Gartner, explains how new application architectures are changing network traffic patterns:

Traditional applications supported a model that placed the data center at the center of all traffic flows. All application access was via the data center, which made it easy to insert security and application delivery capabilities between the client and their applications. However, new application architectures are changing network traffic patterns, taking application delivery controllers (ADCs), wide-area network optimization controllers (WOCs) and application security devices out of the data flow, forcing infrastructure architects to rethink their application delivery strategy to include cloud-based services.

Three new traffic patterns have emerged for application access:

■ Remote users directly accessing cloud services, thereby, bypassing the corporate WAN (including WAN optimization controller [WOCs]) and data center (including ADCs and secure Web gateways [SWGs]).

■ Mobile devices and apps directly accessing the mobile service provider's network, bypassing the corporate WAN (including WOCs) and going to the enterprise data center or external services.

■ Browser-based applications directly accessing multiple data sources within and outside the corporate data center to aggregate content. As a result, these applications bypass the corporate WAN (WOCs and ADCs) for portions of the application data/content.

The first two patterns reflect traditional application architectures modified with direct-to-Internet access from branch office/mobile devices to improve performance and offload the corporate WAN.

The third traffic pattern reflects a new style of application, whereby the browser has absorbed much of the functionality of the Web server. In this new model, the browser, through use of HTML5 and JavaScript, now aggregates content. This development disaggregates the data center functions into distributed application components/data sources. Additionally, it may bypass SWG services, as the application logic in the browser becomes the point of attach, and may have persistent, trusted, long-lived connections deep to the external services.

These developments represent a worst-case scenario for application delivery professionals who now find themselves responsible for the security and performance of applications that access data centers, services and networks that are beyond their control. The Internet of Things will only exacerbate this problem.

Application delivery professionals should move from a model of physical devices allocated to specific applications, to one that takes advantage of physical, virtual and cloud resident service elements to support the new device-/browser-/cloud-centric environment. By shifting to a service mindset, application delivery capabilities can be inserted where and when they make sense.

Driving closer integration of security and application delivery teams is also important as deployment modes converge and functional consolidation continues. It is likely that over-the-top (OTT) security providers will add application delivery capabilities, and application delivery providers will continue to enhance their security capabilities. These enhancements may come via in-house efforts, partnerships or acquisition. A single consistent approach to evaluating these offerings is required to ensure the appropriate capabilities are acquired at the best price. Making the security and application delivery teams jointly responsible for the decision increases the chances of an appropriate outcome.

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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

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If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...