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Use of Database Monitoring Tools Rises to Record High

Over three quarters (79%) of database professionals are now using either a paid-for or in-house monitoring tool, according to a new survey from Redgate Software.

This is an increase of 10 percentage points from the same survey last year and, at the same time, the 86% satisfaction rate with paid-for monitoring tools is also an all-time high, up 18 percentage points on the previous year.

The increase is partly down to the ongoing growth and complexity of database estates, with IDC predicting the installed base of storage capacity will increase by 240% between 2021 and 2025, and virtually every business sector seeing a big shift to the cloud.

It's also, however, down to the changing demands from organizations, with the survey showing they expect the efficiency and performance of growing estates to be maintained, security and compliance concerns to be fully addressed, and the visibility of monitoring data to be widened beyond Database Administrators (DBAs) to developers and IT teams.

This in turn, increases the pressure on DBAs, with many reporting they are expected to do more with less. Hence the rise in the use of database monitoring tools, which appear to reduce frustration, save time and allow DBAs to focus their efforts on contributing value to the business elsewhere.

As Kathi Kellenberger, Microsoft Data Platform MVP and editor of the technical journal for data professionals, Simple Talk, explains: "While a DBA could be responsible for just one SQL Server instance, typically it's dozens and could be thousands too. Without a good monitoring tool in place, the DBA will constantly be putting out fires instead of learning about and taking advantage of new features, tuning poorly performing queries, planning for new systems and contributing to more worthwhile projects."

A good monitoring tool can give a DBA and the wider IT team a single pane of glass to watch for issues on all the SQL Server instances they manage, both on-premises and in the cloud, provide alerts when problems do arise, and drill down to the cause in minutes rather than the hours it would take with manual monitoring.

Methodology: The fourth global State of Database Monitoring Survey was conducted in the summer of 2021 and received responses from over 2,500 IT professionals in every business sector.

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Use of Database Monitoring Tools Rises to Record High

Over three quarters (79%) of database professionals are now using either a paid-for or in-house monitoring tool, according to a new survey from Redgate Software.

This is an increase of 10 percentage points from the same survey last year and, at the same time, the 86% satisfaction rate with paid-for monitoring tools is also an all-time high, up 18 percentage points on the previous year.

The increase is partly down to the ongoing growth and complexity of database estates, with IDC predicting the installed base of storage capacity will increase by 240% between 2021 and 2025, and virtually every business sector seeing a big shift to the cloud.

It's also, however, down to the changing demands from organizations, with the survey showing they expect the efficiency and performance of growing estates to be maintained, security and compliance concerns to be fully addressed, and the visibility of monitoring data to be widened beyond Database Administrators (DBAs) to developers and IT teams.

This in turn, increases the pressure on DBAs, with many reporting they are expected to do more with less. Hence the rise in the use of database monitoring tools, which appear to reduce frustration, save time and allow DBAs to focus their efforts on contributing value to the business elsewhere.

As Kathi Kellenberger, Microsoft Data Platform MVP and editor of the technical journal for data professionals, Simple Talk, explains: "While a DBA could be responsible for just one SQL Server instance, typically it's dozens and could be thousands too. Without a good monitoring tool in place, the DBA will constantly be putting out fires instead of learning about and taking advantage of new features, tuning poorly performing queries, planning for new systems and contributing to more worthwhile projects."

A good monitoring tool can give a DBA and the wider IT team a single pane of glass to watch for issues on all the SQL Server instances they manage, both on-premises and in the cloud, provide alerts when problems do arise, and drill down to the cause in minutes rather than the hours it would take with manual monitoring.

Methodology: The fourth global State of Database Monitoring Survey was conducted in the summer of 2021 and received responses from over 2,500 IT professionals in every business sector.

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If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...