The hardest part of managing and resolving an incident on the network is that users or customers know about incidents before they do, according to 30.1% of survey respondents participating in The 2018 State of Network Management report from Kentik.
Another 26% reported that their biggest challenge with incident response is that data exists, but they can’t access or analyze it easily. Without the ability to analyze network data in real time, network professionals cannot mitigate issues before they affect users and customers.
More study findings:
Automation is trending
35% of respondents cited automation as the most important network trend right now. Yet, only 15% of respondents said their organization is prepared for it.
AI & ML buzzword fatigue
Despite the industry buzz around artificial intelligence (AI) and machine learning (ML), less than 1% of respondents marked it as a most important trend. However, 45.2% of respondents do perceive it to be helpful for network management.
User experience network challenges
Data breach was "the biggest network worry" (33.1% of responses). However, user experience was right behind it (28.8% of responses). As more organizations conduct business online, network outages are now a direct tie to customer success for many companies across industries.
Proliferation of tools for cloud visibility
There has been a huge proliferation of tools to manage cloud and internet dependencies. As a result, many organizations are trying various combinations of tools to manage the visibility challenge. Network traffic analytics appeared as the most commonly used way network professionals (28.3%) are managing the challenge.
Shared tools challenge becomes more real
A majority of respondents (67%) agreed that using the same stack of tools to manage both network performance and security could significantly improve operational efficiencies. However, only about 40% of respondents (39.5%) said their organization is using the same stack of tools to manage both network performance and network security.
"Between multiprotocol label switching (MPLS) and software-defined networking (SDN), there were about 15 years where the networking world was pretty static. Right now we’re in a world moving as fast as the ISP world did back in the 90s. Every few weeks there’s something new," said Avi Freedman, co-founder and CEO of Kentik. "While the industry’s pace of innovation offers guaranteed excitement, our survey findings also reveal that organizations ultimately need a better understanding of their infrastructure in order for their businesses to benefit from all of the new developments."
“With increased business reliance on internet connectivity, the network world has and will continue to get increasingly complex,"he added. "We’re just in the early stages of how our industry will need to transform,” added Freedman.
Survey Methodology: Kentik’s findings are based on responses from 531 network professionals surveyed during Cisco Live 2018. The respondents spanned more than 12 industries, including education, government, healthcare, finance, retail, software, telecommunications and transportation sectors. Respondents varied in titles from C-level, to SVP/VPs, directors, and managers, to network and security engineers, architects, and associates. The majority of respondents came from organizations with 1,000 or more employees.
The Latest
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
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 ...