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IT Faces More Hurdles with Win 10 Anniversary

Rex McMillan

Win 10 is now in official anniversary mode with its 1607 anniversary update ready to roll out to some 400 million devices. Microsoft is optimistic users will covet this update and offers suggestions on how you can fast track your update if so desired. While users may find the anniversary update features such as improved taskbar management helpful, IT pros will continue to grapple with the new way Microsoft is executing updates: these feature updates were previously called branch upgrades and quality updates, the latter also known as cumulative patches.

Feature updates' impact lies between a service pack and an operating system upgrade. They can be as large as 4GB and will typically occur every six months. They contain a combination of new features and fixes, and will cause an upgrade impact to the end user. These feature updates are going to have a much bigger impact on your network and local storage than the old service packs. They are bigger, going to be released more frequently, and will have a higher user impact during upgrades.

To add to the complexity, Win 10 is executing a number of types of servicing branches.


Even further, Microsoft has announced Win 10 Ver. 1607 is initially considered the Current Branch (CB) and will become Current Branch for Business (CBB) in four to six months.

If you're an IT pro charged with optimizing the performance of your enterprise, what do branches mean for you? Here are a few things to consider:

Choose Stability: Enterprises that must have minimal service disruptions, such as health care, may want to opt for the Long Term Servicing Branch, with updates every two to three years and a long support lifetime.

Test the Waters: IT can choose to deploy a more frequently changing branch on a subset of computers, the early adopters. This gives IT a type of beta trial, if you will, to identify potential application compatibility issues that could adversely affect performance.

Standardization: For your organization you may find that one branch will work for most machines.

Mitigate Risk: Some of the branches are supported for only months so where does this leave your network security? It means IT will have more work to do in making sure it deploys feature updates as they become available, since like it or not, Win 10 feature updates are frequent and support has an end date.

Upgrade Model

We've discussed how to parse out these branches, but let us emphasize that these branch updates are going to be constantly rolling out, and will often overlap.

Here is a four step approach that can be applied to different rollout plans:

Preview Insider Branch: Insider branch should be installed and used to preview features, perform early testing and prepare for the release of current branch. Due to release cadence, it will pay large dividends to use early branches to find and resolve issues. This enables IT to prepare for the release and piloting of CB and have time to mitigate potential issues.

Pilot on Current Branch: As branches are progressive in nature, rollouts should schedule the pilot phase to commence with the release of Current Branch. Current Branch will stabilize over time so pilot systems can detect issues that may affect production systems. This branch should be used for application compatibility testing. Leveraging CB enables the organization to test applications and be prepared to migrate to the branch when it is slated as CCB (Current Branch for Business).

Production on Current Branch for Business: When the branch is declared Current Branch for Business, it should be very stable and the pilot rollouts should have already identified branch compatibility issues that can be addressed before this phase begins. Production systems should be run on CCB.

Grace Period for Problem Upgrades: Enterprises should be done with upgrades before hitting the grace period and use this time to address problem upgrades only.

IT needs to evaluate the performance impact of these various branches, in terms of frequency, support limitations and security risks and have a plan in place to avoid disruption as these Win 10 updates start hitting your enterprise.

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IT Faces More Hurdles with Win 10 Anniversary

Rex McMillan

Win 10 is now in official anniversary mode with its 1607 anniversary update ready to roll out to some 400 million devices. Microsoft is optimistic users will covet this update and offers suggestions on how you can fast track your update if so desired. While users may find the anniversary update features such as improved taskbar management helpful, IT pros will continue to grapple with the new way Microsoft is executing updates: these feature updates were previously called branch upgrades and quality updates, the latter also known as cumulative patches.

Feature updates' impact lies between a service pack and an operating system upgrade. They can be as large as 4GB and will typically occur every six months. They contain a combination of new features and fixes, and will cause an upgrade impact to the end user. These feature updates are going to have a much bigger impact on your network and local storage than the old service packs. They are bigger, going to be released more frequently, and will have a higher user impact during upgrades.

To add to the complexity, Win 10 is executing a number of types of servicing branches.


Even further, Microsoft has announced Win 10 Ver. 1607 is initially considered the Current Branch (CB) and will become Current Branch for Business (CBB) in four to six months.

If you're an IT pro charged with optimizing the performance of your enterprise, what do branches mean for you? Here are a few things to consider:

Choose Stability: Enterprises that must have minimal service disruptions, such as health care, may want to opt for the Long Term Servicing Branch, with updates every two to three years and a long support lifetime.

Test the Waters: IT can choose to deploy a more frequently changing branch on a subset of computers, the early adopters. This gives IT a type of beta trial, if you will, to identify potential application compatibility issues that could adversely affect performance.

Standardization: For your organization you may find that one branch will work for most machines.

Mitigate Risk: Some of the branches are supported for only months so where does this leave your network security? It means IT will have more work to do in making sure it deploys feature updates as they become available, since like it or not, Win 10 feature updates are frequent and support has an end date.

Upgrade Model

We've discussed how to parse out these branches, but let us emphasize that these branch updates are going to be constantly rolling out, and will often overlap.

Here is a four step approach that can be applied to different rollout plans:

Preview Insider Branch: Insider branch should be installed and used to preview features, perform early testing and prepare for the release of current branch. Due to release cadence, it will pay large dividends to use early branches to find and resolve issues. This enables IT to prepare for the release and piloting of CB and have time to mitigate potential issues.

Pilot on Current Branch: As branches are progressive in nature, rollouts should schedule the pilot phase to commence with the release of Current Branch. Current Branch will stabilize over time so pilot systems can detect issues that may affect production systems. This branch should be used for application compatibility testing. Leveraging CB enables the organization to test applications and be prepared to migrate to the branch when it is slated as CCB (Current Branch for Business).

Production on Current Branch for Business: When the branch is declared Current Branch for Business, it should be very stable and the pilot rollouts should have already identified branch compatibility issues that can be addressed before this phase begins. Production systems should be run on CCB.

Grace Period for Problem Upgrades: Enterprises should be done with upgrades before hitting the grace period and use this time to address problem upgrades only.

IT needs to evaluate the performance impact of these various branches, in terms of frequency, support limitations and security risks and have a plan in place to avoid disruption as these Win 10 updates start hitting your enterprise.

The Latest

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 ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...