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The One Thing Destroying Office 365 Deployments - and How to Fix It - Part 2

Wilfried van Haeren

Take banking as an example — IT must design an architecture that can support the varying needs of thousands of branch locations and multiple divisions. IT may start to build an overlay network, relaying a blend of application services across the plain old data network and continuing to rely on backhauling. In these situations, when a customer wants to complete a large money transfer or open an account, the data packets of this application may cross an entire continent before going back to a cloud provisioning center that is next-door. Unnecessary travel isn’t just inefficient in cost, bandwidth, and response time — it’s where chaos is born, and impacts application performance and end-user response time through increased latency during transfer.

Start with The One Thing Destroying Office 365 Deployments - and How to Fix It - Part 1

Taming Office 365 Pandemonium with SD-WAN

Returning to the banking example, if the trading division wanted to use OneDrive for collaboration in a chaotic environment, it could travel over a separate connection at a snail’s pace as to not interfere with other traffic — rendering it frustrating and useless to employees. Without the ability to prioritize or flawlessly integrate applications into the infrastructure, it guarantees to handicap performance of any collaboration.

For competitive businesses, that solution isn’t good enough — instead, they may choose to modernize with SD-WAN and its autonomous properties.

Instead of relying on the dynamic nature of the internet, SD-WAN uses underlying intelligence to seek out the most suitable circuit to relay application data, or it determines the closest possible cloud service instance. By maximizing the knowledge of end-to-end quality of service (QoS) using virtualized network functions (VNFs), the SD-WAN (edge) gateway establishes a suitable connection with minimal latency and maximum performance so that entire organizations can make the most of the Office 365 application suite.

SD-WAN also manages chaos by:

■ Dynamically adjusting the provisioning of services.

■ Offering Dynamic Multipath Optimization for automatic link monitoring, routing and QoS settings, and auto configuration to ensure fast access to the nearest cloud services provider.

■ Reducing the Mean Time to Remediation (MTTR) by providing visibility across the infrastructure so that businesses never overprovision bandwidth to fix a slowdown that could be related to layer 3 problems.

■ Providing Mean Time to Innocence (MTTI) insights that can determine if issues are inside the data infrastructure or a deviation on a baseline at the ISP, MSP, or cloud provider.

■ Regulating the network to improve the end-user experience and productivity by using intelligence that supersedes current categorization of existing firewalls.

■ Speeding the change management process from weeks or months to on-the-fly by communicating the impending change, providing system attributes, and automatically readying/releasing resources.

■ Choosing the most appropriate connection based on application prioritization to lower overall connection costs and provide higher availability.

No matter if businesses are deploying Office 365 or another cloud-based SaaS application, to achieve success, there must be a fundamental change in infrastructure design thinking. Rather than the network dictating the rules, the network now must accommodate business rules and policies.

IT organizations that follow this “outside-of-the-box” thinking led by virtualization will be on the path to taming chaos. And now, with SD-WAN enabled technology, it’s never been easier to map business policies using VNF as the cornerstone for design — so what are you waiting for?

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The One Thing Destroying Office 365 Deployments - and How to Fix It - Part 2

Wilfried van Haeren

Take banking as an example — IT must design an architecture that can support the varying needs of thousands of branch locations and multiple divisions. IT may start to build an overlay network, relaying a blend of application services across the plain old data network and continuing to rely on backhauling. In these situations, when a customer wants to complete a large money transfer or open an account, the data packets of this application may cross an entire continent before going back to a cloud provisioning center that is next-door. Unnecessary travel isn’t just inefficient in cost, bandwidth, and response time — it’s where chaos is born, and impacts application performance and end-user response time through increased latency during transfer.

Start with The One Thing Destroying Office 365 Deployments - and How to Fix It - Part 1

Taming Office 365 Pandemonium with SD-WAN

Returning to the banking example, if the trading division wanted to use OneDrive for collaboration in a chaotic environment, it could travel over a separate connection at a snail’s pace as to not interfere with other traffic — rendering it frustrating and useless to employees. Without the ability to prioritize or flawlessly integrate applications into the infrastructure, it guarantees to handicap performance of any collaboration.

For competitive businesses, that solution isn’t good enough — instead, they may choose to modernize with SD-WAN and its autonomous properties.

Instead of relying on the dynamic nature of the internet, SD-WAN uses underlying intelligence to seek out the most suitable circuit to relay application data, or it determines the closest possible cloud service instance. By maximizing the knowledge of end-to-end quality of service (QoS) using virtualized network functions (VNFs), the SD-WAN (edge) gateway establishes a suitable connection with minimal latency and maximum performance so that entire organizations can make the most of the Office 365 application suite.

SD-WAN also manages chaos by:

■ Dynamically adjusting the provisioning of services.

■ Offering Dynamic Multipath Optimization for automatic link monitoring, routing and QoS settings, and auto configuration to ensure fast access to the nearest cloud services provider.

■ Reducing the Mean Time to Remediation (MTTR) by providing visibility across the infrastructure so that businesses never overprovision bandwidth to fix a slowdown that could be related to layer 3 problems.

■ Providing Mean Time to Innocence (MTTI) insights that can determine if issues are inside the data infrastructure or a deviation on a baseline at the ISP, MSP, or cloud provider.

■ Regulating the network to improve the end-user experience and productivity by using intelligence that supersedes current categorization of existing firewalls.

■ Speeding the change management process from weeks or months to on-the-fly by communicating the impending change, providing system attributes, and automatically readying/releasing resources.

■ Choosing the most appropriate connection based on application prioritization to lower overall connection costs and provide higher availability.

No matter if businesses are deploying Office 365 or another cloud-based SaaS application, to achieve success, there must be a fundamental change in infrastructure design thinking. Rather than the network dictating the rules, the network now must accommodate business rules and policies.

IT organizations that follow this “outside-of-the-box” thinking led by virtualization will be on the path to taming chaos. And now, with SD-WAN enabled technology, it’s never been easier to map business policies using VNF as the cornerstone for design — so what are you waiting for?

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

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 ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...