Many IT professionals, regardless of company size or role, face monitoring challenges that decrease productivity, impact service, and delay projects, according to Opsview's annual IT Monitoring Survey. We received over 400 responses from around the globe, from those employed at small start-ups to those working at major corporations.
Findings include:
Too many tools and dashboards
Over 35% of respondents strongly agreed or agreed that because their IT monitoring systems has too many tools and dashboards, they are slower at responding to critical issues and identifying the source of an issue. Of the total respondents, 52% of those at companies with greater than 1,000 employees felt similarly.
Too many alerts and tools
Respondents were asked how strongly they agreed with the following statement: ?My IT tools send too many alerts and cause us to waste too many resources trying to weed through the alerts.? Over 48% of respondents strongly agreed or agreed with this statement, 60% at companies with greater than 1,000 employees.
Inadequate reporting
Over 56% of survey participants said their IT tools do not provide adequate reporting, which makes demonstrating value to stakeholders and decision making difficult. 58% of those in management roles strongly agreed or agreed with this statement.
Can't complete IT projects as quickly as the business needs
Over 48% of general survey participants agreed or strongly agreed that completing IT projects at the speed the business needs is a challenging task. This is especially noticeable at larger companies with over 72% respondents at companies with greater than 1,000 employees agreeing.
Need to free up staff to work on important projects
More than 86% of all participants felt that with more concise and accurate IT operations, more staff would be available to work on other projects.
Eric Bernsen is a Digital Marketing Executive at Opsview.
The Latest
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...
Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic ...
Splunk's latest research reveals that companies embracing observability aren't just keeping up, they're pulling ahead. Whether it's unlocking advantages across their digital infrastructure, achieving deeper understanding of their IT environments or uncovering faster insights, organizations are slashing through resolution times like never before ...
