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Businesses Struggle to Enter New Digital Era

New survey reveals only 12% of today’s enterprises have fully transitioned to modern tools

Enterprises depending exclusively on legacy monitoring tools are falling behind in business agility and operational efficiency, according to a new study, Prevalence of Legacy Tools Paralyzes Enterprises' Ability to Innovate, commissioned by Sciencelogic and conducted by Forrester Consulting.

The report says organizations with disjointed and outdated IT offerings that utilize legacy tools and strategies are trapped in a perpetual survival mode and unable to innovate.

Only 12% of respondents report having fully transitioned to modern monitoring tools, with 37% still relying exclusively on legacy tools keeping them stuck in a digital deadlock.

Respondents also revealed that legacy toolsets remain prevalent in their IT ecosystem, further relaying the negative implications of legacy IT vendors and tools that undermine service resilience, fast mean-time-to resolution, and the ability to automate to scale.

86% said they still use at least one legacy tool, which is actively exposing their business to negative impacts including high costs of IT support, service degradation, and increased security risks.

Top findings from the study include:

■ One third (33%) of companies are using 20 or more infrastructure and application monitoring tools that contribute to IT complexity

■ Legacy tools are causing long service disruptions and poor customer experience, while not supporting the shift to hybrid-cloud environments or new application architectures

■ End-to-end visibility into IT assets across hybrid architectures was named as a significant technical benefit of AIOps by 49% of respondents

■ 68% of decision-makers cite business agility as the top driver for changes in IT operations

The Opportunity Ahead

Mature enterprises are attempting to match their digital-native counterparts by adopting cloud-based architectures, but continue to fall short, as many modern tools are unable to manage outdated legacy systems.

To address IT visibility and remediation challenges, over two-thirds (68%) of companies surveyed have plans to invest in AIOps-enabled monitoring solutions over the next 12 months. These solutions apply AI/ML-driven analytics to business and operations data to make correlations and provide real-time insights that allow IT operations teams to resolve incidents faster–and avoid incidents altogether.

IT decision-makers reported that the major benefits of AIOps solutions include increased operational efficiency and business agility, as well as reduced cost of downtime.

"Enterprises that operate on dozens of legacy vendor tools are siloing the view of their IT environment, leading to prolonged service disruptions, issues with incident resolution, and ultimately, providing for a poor customer experience. These 'survival mode enterprises' have little chance of getting ahead of the agility curve and are in real danger of being left behind," said Dave Link, founder and CEO of ScienceLogic. "As the adoption of newer technologies like containers and microservices continues to rise, forward-thinking companies will drive extensive automation with artificial intelligence and machine learning algorithms. This study shows that companies will need to adopt innovations like AIOps to ensure a successful modernization and automation journey."

"These enterprises are starting to take the leap to modernize their IT environment, however, survival will require a cultural shift in how people and organizations understand the flow and impact of clean data as part of a broader strategy towards automation," Link added. "The reality is that those who have not started are already behind, but it is not too late to future-proof your IT systems and teams so they may focus on innovative advancements to propel your enterprise to market success."

Methodology: Survey respondents included IT decision makers and leaders from large organizations. Respondents have influence over or are the decision maker for their organization's infrastructure and application monitoring. The custom survey was completed in July 2019.

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Businesses Struggle to Enter New Digital Era

New survey reveals only 12% of today’s enterprises have fully transitioned to modern tools

Enterprises depending exclusively on legacy monitoring tools are falling behind in business agility and operational efficiency, according to a new study, Prevalence of Legacy Tools Paralyzes Enterprises' Ability to Innovate, commissioned by Sciencelogic and conducted by Forrester Consulting.

The report says organizations with disjointed and outdated IT offerings that utilize legacy tools and strategies are trapped in a perpetual survival mode and unable to innovate.

Only 12% of respondents report having fully transitioned to modern monitoring tools, with 37% still relying exclusively on legacy tools keeping them stuck in a digital deadlock.

Respondents also revealed that legacy toolsets remain prevalent in their IT ecosystem, further relaying the negative implications of legacy IT vendors and tools that undermine service resilience, fast mean-time-to resolution, and the ability to automate to scale.

86% said they still use at least one legacy tool, which is actively exposing their business to negative impacts including high costs of IT support, service degradation, and increased security risks.

Top findings from the study include:

■ One third (33%) of companies are using 20 or more infrastructure and application monitoring tools that contribute to IT complexity

■ Legacy tools are causing long service disruptions and poor customer experience, while not supporting the shift to hybrid-cloud environments or new application architectures

■ End-to-end visibility into IT assets across hybrid architectures was named as a significant technical benefit of AIOps by 49% of respondents

■ 68% of decision-makers cite business agility as the top driver for changes in IT operations

The Opportunity Ahead

Mature enterprises are attempting to match their digital-native counterparts by adopting cloud-based architectures, but continue to fall short, as many modern tools are unable to manage outdated legacy systems.

To address IT visibility and remediation challenges, over two-thirds (68%) of companies surveyed have plans to invest in AIOps-enabled monitoring solutions over the next 12 months. These solutions apply AI/ML-driven analytics to business and operations data to make correlations and provide real-time insights that allow IT operations teams to resolve incidents faster–and avoid incidents altogether.

IT decision-makers reported that the major benefits of AIOps solutions include increased operational efficiency and business agility, as well as reduced cost of downtime.

"Enterprises that operate on dozens of legacy vendor tools are siloing the view of their IT environment, leading to prolonged service disruptions, issues with incident resolution, and ultimately, providing for a poor customer experience. These 'survival mode enterprises' have little chance of getting ahead of the agility curve and are in real danger of being left behind," said Dave Link, founder and CEO of ScienceLogic. "As the adoption of newer technologies like containers and microservices continues to rise, forward-thinking companies will drive extensive automation with artificial intelligence and machine learning algorithms. This study shows that companies will need to adopt innovations like AIOps to ensure a successful modernization and automation journey."

"These enterprises are starting to take the leap to modernize their IT environment, however, survival will require a cultural shift in how people and organizations understand the flow and impact of clean data as part of a broader strategy towards automation," Link added. "The reality is that those who have not started are already behind, but it is not too late to future-proof your IT systems and teams so they may focus on innovative advancements to propel your enterprise to market success."

Methodology: Survey respondents included IT decision makers and leaders from large organizations. Respondents have influence over or are the decision maker for their organization's infrastructure and application monitoring. The custom survey was completed in July 2019.

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A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...