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2 Out of 3 IT Pros Put Systems at Risk of Downtime

Pete Goldin
APMdigest

Almost three-fourths (70%) of companies forget about documenting changes, up from 57% last year, according to Netwrix Corporation's 2015 State of IT Changes Survey, covering 700 IT professionals across over 40 industries.

In addition, the number of large enterprises that make undocumented changes has increased by 20% to 66%.

Undocumented changes pose a hidden threat to business continuity and the integrity of sensitive data. The survey shows that 67% of companies suffer from service downtime due to unauthorized or incorrect changes to system configurations, while the worst offenders are again enterprises in 73% of cases.

The report states: "Incorrect or unauthorized changes to system configurations can impact sustainability of business processes and cause IT services to stop. The majority of IT pros admit that they still are not able to control sustainable performance of their IT systems and continue to make changes that were a root cause of system downtime; the share has even increased throughout the year."

Despite the fact that companies still have shortcomings in their change management policies, the overall results of 2015 show a positive trend. More organizations have changed their approach to changes and have made some effort to establish auditing processes to achieve visibility into their IT infrastructures.

Key survey findings:

■ 80% of organizations surveyed continue to claim they document changes; however, the number of companies that make undocumented changes has grown throughout the year and reached 70%. The frequency of those changes has also increased.

■ 58% of small companies surveyed have started to track changes despite the lack of change management controls, against 30% last year.

■ Change auditing technology continues to capture the market, as 52% of organizations surveyed have established change auditing controls, compared to 38% last year. Today, 75% of enterprises surveyed (52% in 2014) have established change auditing processes to monitor their IT infrastructures.

■ Organizations opt for several methods of change auditing at once. 60% of SMBs surveyed traditionally choose manual monitoring of native logs, whereas 65% of enterprises deploy automated auditing solutions.


Pete Goldin is Editor and Publisher of APMdigest

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2 Out of 3 IT Pros Put Systems at Risk of Downtime

Pete Goldin
APMdigest

Almost three-fourths (70%) of companies forget about documenting changes, up from 57% last year, according to Netwrix Corporation's 2015 State of IT Changes Survey, covering 700 IT professionals across over 40 industries.

In addition, the number of large enterprises that make undocumented changes has increased by 20% to 66%.

Undocumented changes pose a hidden threat to business continuity and the integrity of sensitive data. The survey shows that 67% of companies suffer from service downtime due to unauthorized or incorrect changes to system configurations, while the worst offenders are again enterprises in 73% of cases.

The report states: "Incorrect or unauthorized changes to system configurations can impact sustainability of business processes and cause IT services to stop. The majority of IT pros admit that they still are not able to control sustainable performance of their IT systems and continue to make changes that were a root cause of system downtime; the share has even increased throughout the year."

Despite the fact that companies still have shortcomings in their change management policies, the overall results of 2015 show a positive trend. More organizations have changed their approach to changes and have made some effort to establish auditing processes to achieve visibility into their IT infrastructures.

Key survey findings:

■ 80% of organizations surveyed continue to claim they document changes; however, the number of companies that make undocumented changes has grown throughout the year and reached 70%. The frequency of those changes has also increased.

■ 58% of small companies surveyed have started to track changes despite the lack of change management controls, against 30% last year.

■ Change auditing technology continues to capture the market, as 52% of organizations surveyed have established change auditing controls, compared to 38% last year. Today, 75% of enterprises surveyed (52% in 2014) have established change auditing processes to monitor their IT infrastructures.

■ Organizations opt for several methods of change auditing at once. 60% of SMBs surveyed traditionally choose manual monitoring of native logs, whereas 65% of enterprises deploy automated auditing solutions.


Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...