ManageEngine announced the beta version of automated root cause analysis actions for bandwidth bottlenecks as part of the OpManager workflow engine.
The actions include retrieving the top 10 sources, applications and conversations that consume more bandwidth in the network, and operate leveraging the NFA plugin.
ManageEngine will showcase OpManager at Cisco Live 2012 Mexico, being held November 6-8, 2012, at the Moon Palace Golf and Spa Resort in Cancun, Mexico.
"With automated root cause analysis, network administrators can automate their L1 troubleshooting activities," said Dev Anand, director of product management at ManageEngine. "They can get the required hands-on information on the top bandwidth consuming users and applications automatically whenever any related alarm is raised. This helps them to troubleshoot faster and fix the issue before the end user is impacted."
When any bandwidth bottleneck alarm is raised, the workflow with the NFA root cause analysis actions is automatically executed. The result of the workflow - the list of the top 10 sources, applications and conversations that are hogging the bandwidth - is either added as notes to the alarm or sent as an email. This provides visibility into network traffic for troubleshooting and, at the same, time avoids the repetitive manual work done by the network administrators.
Pricing and Availability
Automated root cause analysis actions are immediately available in the beta release of OpManager.
OpManager users can download the beta version via the OpManager beta program.
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 ...
