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

Wilfried van Haeren

Market exuberance for Office 365 has inspired business mandates to adopt the cloud-hosted collaboration and productivity suite without regards to the underlying chaos. While multi-location organizations are virtualizing, operating models haven’t necessarily changed. This partial transformation that excludes automation and simplification of the network puts Office 365 deployments (and other software-as-a-service offerings) in danger of failing.

Take banking as an example — IT must design an architecture that can support the varying needs of thousands of branch locations and multiple divisions. Where the consumers at the branches might require online banking and informational video streaming, the trading division (a much smaller subset of the organization that typically makes the bulk of the revenue) will need their applications prioritized.

To achieve this, IT may start to build an overlay network, relaying this 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.

Chaos Takes Many Forms, But Always Creates the Same Challenges

Chaos isn’t limited to backhauling or using generic devices to route traffic. Instead, it can include:

■ Stacking physical hardware appliances with different network functions in an attempt to enforce business policies at the branch edge of the network

■ Running a separate infrastructure for important business functions

■ Using connectivity that was chosen based on price, rather than performance and agility

■ A network platform lacking orchestration or automation capabilities

Regardless of the exact network configuration, chaos consistently creates the following challenges when attempting to deploy Office 365:

Poor Performance and End-User Experience - Long and inefficient traffic patterns add latency and diminish the user experience. Additionally, without any orchestration or automation there is no distinction between transactional or bulk application types for appropriate performance and availability controls.

Increased Costs - While on the surface, replacing legacy desktop applications appears to be a cost reduction, deploying Office 365 on existing architecture without fine-grained application policy and bandwidth controls leads to increasing connectivity costs to manage the application demands.

Diminished Visibility - The complexity of chaos can lead to confusion or clouding of current bandwidth usage, unimportant traffic traveling across an expensive MPLS connection, and overprovisioning to combat poor performance that is unrelated to bandwidth.

Read The One Thing Destroying Office 365 Deployments - and How to Fix It - Part 2, covering how SD-WAN tames Office 365 chaos.

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

Wilfried van Haeren

Market exuberance for Office 365 has inspired business mandates to adopt the cloud-hosted collaboration and productivity suite without regards to the underlying chaos. While multi-location organizations are virtualizing, operating models haven’t necessarily changed. This partial transformation that excludes automation and simplification of the network puts Office 365 deployments (and other software-as-a-service offerings) in danger of failing.

Take banking as an example — IT must design an architecture that can support the varying needs of thousands of branch locations and multiple divisions. Where the consumers at the branches might require online banking and informational video streaming, the trading division (a much smaller subset of the organization that typically makes the bulk of the revenue) will need their applications prioritized.

To achieve this, IT may start to build an overlay network, relaying this 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.

Chaos Takes Many Forms, But Always Creates the Same Challenges

Chaos isn’t limited to backhauling or using generic devices to route traffic. Instead, it can include:

■ Stacking physical hardware appliances with different network functions in an attempt to enforce business policies at the branch edge of the network

■ Running a separate infrastructure for important business functions

■ Using connectivity that was chosen based on price, rather than performance and agility

■ A network platform lacking orchestration or automation capabilities

Regardless of the exact network configuration, chaos consistently creates the following challenges when attempting to deploy Office 365:

Poor Performance and End-User Experience - Long and inefficient traffic patterns add latency and diminish the user experience. Additionally, without any orchestration or automation there is no distinction between transactional or bulk application types for appropriate performance and availability controls.

Increased Costs - While on the surface, replacing legacy desktop applications appears to be a cost reduction, deploying Office 365 on existing architecture without fine-grained application policy and bandwidth controls leads to increasing connectivity costs to manage the application demands.

Diminished Visibility - The complexity of chaos can lead to confusion or clouding of current bandwidth usage, unimportant traffic traveling across an expensive MPLS connection, and overprovisioning to combat poor performance that is unrelated to bandwidth.

Read The One Thing Destroying Office 365 Deployments - and How to Fix It - Part 2, covering how SD-WAN tames Office 365 chaos.

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 ...