SevOne unveiled the SevOne Data Platform, a new, flexible cloud-native platform that powers SevOne’s new suite of scalable network and infrastructure management solutions and seamlessly connects with industry leading business intelligence, analytics, and automation packages.
The SevOne Data Platform simplifies the extraction, enrichment and analysis of network and machine data across multivendor environments, transforming raw data into actionable, real-time insights to meet the agility and efficiency needs of complex organizations.
The SevOne Data Platform includes the first of several new modular offerings – SevOne Data Engine, SevOne Data Insight and SevOne Data Bus. With these modules, SevOne delivers a scalable cloud-native network and infrastructure management platform. It removes barriers for innovative businesses seeking to transition to today’s virtualized networks and cloud services.
- SevOne Data Engine builds on SevOne’s proven ability to collect “all the data” at carrier and web scale to meet the needs of the world’s largest networks and datacenters. It transforms multivendor machine data into actionable, real-time insights to meet the agility, reliability, and business efficiency needs of large enterprises, CSPs and MSPs.
- SevOne Data Insight transforms physical and virtual operations management environments through customizable visualizations and flexible, shareable workflows that deliver the right insight to the right person, at the right time.
- SevOne Data Bus enables customers to connect their network and infrastructure data to external data lakes, BI packages, and automation controllers through real-time streams, extending the value of their data beyond that of the traditional operational silos.
“The SevOne Data Platform is a key component in the digital transformation of the world’s leading network and datacenter operators,” said Jack Sweeney, SevOne’s CEO. “These new cloud-native platform offerings will enable users to harness the predictive power of machine data in order to deliver real-time analytics and automation at scale in alignment with their evolving business goals.”
“As today’s innovative enterprises and service providers embrace newer cloud-native and virtualized networks, the methods by which they extract and take action from network and machine data must evolve,” said Jim Duffy, Senior Analyst for the Networking Channel at 451 Research. “The SevOne Data Platform’s ability to customize and share workflows sets the direction in this evolution.”
SevOne Data Insight and SevOne Data Bus are available now, and SevOne Data Engine will ship later this year.
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
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) ...
