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IT Pros Turn to Database Management for App Efficiency

Vicky Harp

Ensuring application availability is much more than simple up/down monitoring, as today's users have come to expect real-time responses, regardless of the device or network. While application front ends and back ends vary widely by application type, what almost all have in common is their dependency on transactional databases. To truly understand application performance, IT professionals must analyze database workloads in application context.


A recent Unisphere Research survey revealed that leading enterprises are turning to database lifecycle management (DLM) to address the complexity of modern databases. DLM involves coordinated processes, tools and people to optimize all aspects of the data lifecycle including data architecture and modeling, database design, performance monitoring, administration, security, storage and archiving.

Nearly 90 percent of survey respondents agree that the complexity of their database environment has increased over the past five years, while more than 45 percent say these environments have grown "significantly" or "extremely" more complex during this time. Getting a handle on these environments is critical to ensuring enterprise application availability and efficiency, not to mention a company's ability to conduct business and generate revenue.

Survey results indicate that nearly 80 percent of organizations now have some sort of DLM initiative underway, but most are in the early stages and 51 percent are part of existing application lifecycle management (ALM) efforts. While it's encouraging that companies understand the importance of databases to their ALM efforts, they may not be giving DLM the focus it deserves.

Close to 90 percent of companies using DLM solutions are already seeing a range of tangible business benefits as a result of their DLM efforts, including increased data systems uptime, making data more highly available to end users, increased confidence in the data, and more rapid and frequent delivery of applications.

Cloud computing represents a new way of managing data environments that may relieve enterprise data shops of some administrative burdens and provide speed and flexibility advantages for the business. For mission-critical applications, the movement to the cloud presents some sobering news. Only 19 percent of data managers surveyed indicate they intend to move a significant portion of their enterprise data to public cloud, while 26 percent intend to move to more secure private or hybrid cloud environments. These figures indicate that enterprise applications will not be able to fully leverage the benefits of data in the cloud for some time.

Aligning applications with data seems to be a key issue for many IT pros. When asked what their most pressing challenges were in managing database environments, "determining related application issues" was top of mind for 30 percent of respondents. According to one, DLM addresses this issue by enhancing the "ability to remain in step with the application."

Enterprise applications are only as effective as the databases that provide their foundation, and these survey findings make it clear that IT pros fully understand this reality. As a result, many companies are embracing DLM initiatives to ensure their mission-critical applications are deployed quickly, run with optimal efficiency and provide maximum business value.

Vicky Harp is a Corporate Strategist at IDERA.

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IT Pros Turn to Database Management for App Efficiency

Vicky Harp

Ensuring application availability is much more than simple up/down monitoring, as today's users have come to expect real-time responses, regardless of the device or network. While application front ends and back ends vary widely by application type, what almost all have in common is their dependency on transactional databases. To truly understand application performance, IT professionals must analyze database workloads in application context.


A recent Unisphere Research survey revealed that leading enterprises are turning to database lifecycle management (DLM) to address the complexity of modern databases. DLM involves coordinated processes, tools and people to optimize all aspects of the data lifecycle including data architecture and modeling, database design, performance monitoring, administration, security, storage and archiving.

Nearly 90 percent of survey respondents agree that the complexity of their database environment has increased over the past five years, while more than 45 percent say these environments have grown "significantly" or "extremely" more complex during this time. Getting a handle on these environments is critical to ensuring enterprise application availability and efficiency, not to mention a company's ability to conduct business and generate revenue.

Survey results indicate that nearly 80 percent of organizations now have some sort of DLM initiative underway, but most are in the early stages and 51 percent are part of existing application lifecycle management (ALM) efforts. While it's encouraging that companies understand the importance of databases to their ALM efforts, they may not be giving DLM the focus it deserves.

Close to 90 percent of companies using DLM solutions are already seeing a range of tangible business benefits as a result of their DLM efforts, including increased data systems uptime, making data more highly available to end users, increased confidence in the data, and more rapid and frequent delivery of applications.

Cloud computing represents a new way of managing data environments that may relieve enterprise data shops of some administrative burdens and provide speed and flexibility advantages for the business. For mission-critical applications, the movement to the cloud presents some sobering news. Only 19 percent of data managers surveyed indicate they intend to move a significant portion of their enterprise data to public cloud, while 26 percent intend to move to more secure private or hybrid cloud environments. These figures indicate that enterprise applications will not be able to fully leverage the benefits of data in the cloud for some time.

Aligning applications with data seems to be a key issue for many IT pros. When asked what their most pressing challenges were in managing database environments, "determining related application issues" was top of mind for 30 percent of respondents. According to one, DLM addresses this issue by enhancing the "ability to remain in step with the application."

Enterprise applications are only as effective as the databases that provide their foundation, and these survey findings make it clear that IT pros fully understand this reality. As a result, many companies are embracing DLM initiatives to ensure their mission-critical applications are deployed quickly, run with optimal efficiency and provide maximum business value.

Vicky Harp is a Corporate Strategist at IDERA.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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