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SolarWinds Enhances SolarWinds Database Performance Analyzer (DPA)

SolarWinds announced extensive correlation and visibility into the database and the layers that support it with enhancements to SolarWinds Database Performance Analyzer (DPA), delivering database administrators – or DBAs – valuable insight into the database’s impact on other layers of an application stack and empowering them to provide their IT departments with the solution to the common concern: “Why is this app so slow?”

SolarWinds DPA, with its unique approach that includes Multi-Dimensional Performance Analysis, continuously monitors SQL Server, Oracle, Sybase and DB2 databases on physical, cloud-based and VMware servers to identify database performance issues that impact end-user response times, isolate root cause, show historical performance trends, and correlate metrics with response time and performance. In its latest version, SolarWinds DPA 9.0 adds storage resource visibility and correlation, providing database admins with unique insight into how storage I/O issues contribute to poor response time; and adds metric baselining and alerting, which enables DBAs to pinpoint the root cause of performance issues within minutes.

“Simply put, application performance is database performance, so when apps are slow, fingers often point at the database and the DBA. However, since databases are complex and full of core critical information, we need to look to the DBAs not to place blame, but to find solutions,” said Gerardo Dada, VP of Product Marketing, SolarWinds. “Now with SolarWinds DPA 9.0, DBAs have insight both into the performance of databases and how they work with other components that support an app. In this way, DBAs essentially become the performance gurus of an IT department, offering a single truth that aligns teams behind facts and empowers them to take action.”

New in SolarWinds DPA 9.0: DBAs have the power to answer, “Is the app issue in the database?”

- No, the problem is somewhere else: DBAs can eliminate the database as the source of the problem and provide context into how other components of the IT infrastructure correlate with database activities. With NEW storage I/O analysis, DBAs can see the impacts of storage on the database workload, gaining insight into how storage issues such as latency and disk performance can contribute to poor database response time and ultimately impact the end user of an application.

- Yes, the problem is in the database: Database performance is dynamic, so DBAs need the right tools to be able to compare expected performance with abnormal performance. With NEW resource metric baselining and alerting, DBAs can proactively identify resource outliers, correlating with app response time, and then drill deeper to see if the problem indeed originated in the database and, if so, how to resolve it.

SolarWinds DPA is based on a non-intrusive agentless architecture, making it safe to use in production environments with negligible performance impact. SolarWinds DPA can be used to monitor thousands of database instances running on premise, VMware or in the cloud.

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SolarWinds Enhances SolarWinds Database Performance Analyzer (DPA)

SolarWinds announced extensive correlation and visibility into the database and the layers that support it with enhancements to SolarWinds Database Performance Analyzer (DPA), delivering database administrators – or DBAs – valuable insight into the database’s impact on other layers of an application stack and empowering them to provide their IT departments with the solution to the common concern: “Why is this app so slow?”

SolarWinds DPA, with its unique approach that includes Multi-Dimensional Performance Analysis, continuously monitors SQL Server, Oracle, Sybase and DB2 databases on physical, cloud-based and VMware servers to identify database performance issues that impact end-user response times, isolate root cause, show historical performance trends, and correlate metrics with response time and performance. In its latest version, SolarWinds DPA 9.0 adds storage resource visibility and correlation, providing database admins with unique insight into how storage I/O issues contribute to poor response time; and adds metric baselining and alerting, which enables DBAs to pinpoint the root cause of performance issues within minutes.

“Simply put, application performance is database performance, so when apps are slow, fingers often point at the database and the DBA. However, since databases are complex and full of core critical information, we need to look to the DBAs not to place blame, but to find solutions,” said Gerardo Dada, VP of Product Marketing, SolarWinds. “Now with SolarWinds DPA 9.0, DBAs have insight both into the performance of databases and how they work with other components that support an app. In this way, DBAs essentially become the performance gurus of an IT department, offering a single truth that aligns teams behind facts and empowers them to take action.”

New in SolarWinds DPA 9.0: DBAs have the power to answer, “Is the app issue in the database?”

- No, the problem is somewhere else: DBAs can eliminate the database as the source of the problem and provide context into how other components of the IT infrastructure correlate with database activities. With NEW storage I/O analysis, DBAs can see the impacts of storage on the database workload, gaining insight into how storage issues such as latency and disk performance can contribute to poor database response time and ultimately impact the end user of an application.

- Yes, the problem is in the database: Database performance is dynamic, so DBAs need the right tools to be able to compare expected performance with abnormal performance. With NEW resource metric baselining and alerting, DBAs can proactively identify resource outliers, correlating with app response time, and then drill deeper to see if the problem indeed originated in the database and, if so, how to resolve it.

SolarWinds DPA is based on a non-intrusive agentless architecture, making it safe to use in production environments with negligible performance impact. SolarWinds DPA can be used to monitor thousands of database instances running on premise, VMware or in the cloud.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...