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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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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...