NetBrain Technologies released the latest version of their flagship product – Enterprise Suite Version 5.0.
This update represents the largest release to date, providing automated network troubleshooting and map-driven network change management platforms.
With Version 5.0, NetBrain introduces Automation Procedures which can automate a wide range of network management tasks normally completed manually through the CLI.
Out of the box, version 5.0 contains hundreds of built-in automation procedures for troubleshooting, change verification and compliance.
The software also features a simple framework, empowering users to develop their own procedures to automate any network task.
Additionally, version 5.0 features a new Network Change Management module that allows users to automatically push configuration changes, analyze their impact, and document the results. This module is designed to make network changes more efficient and less risky.
Other improvements to Enterprise Suite 5.0 include:
• Expanded multivendor / Multi-Tenant support to increase the flexibility of the software across multiple hardware platforms and sizes
• Qmap enhancements that enable network diagrams to be used as a portable workspace for collaboration and sharing
• Integration with LDAP/AD authentication servers
• Workspace sync-up speed improvements for very large networks
With its newest release, NetBrain maintains its position as a leader in network mapping, network troubleshooting, and domain knowledge.
NetBrain Enterprise Suite 5.0 is available immediately for trial download and as an upgrade to existing customers.
The Latest
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
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 ...
