Mobile carriers around the globe are under continued pressure to innovate and differentiate their services to compete. Automating mobile carrier network functions based on reference architectures like ESTI-MANO, while also automating the assurance of the systems and underlying infrastructure responsible for these new virtual services, is critical for carriers to implement more agile operations and meet market demands.
Content In This Category
According to analyst research, the average large enterprise uses 6 to 10 monitoring tools, and some use as many as 25! This creates inefficiencies and redundancies that cost the business money. This whitepaper outlines the ways in which tool consolidation can improve your monitoring capability and your bottom line
To solve your toughest data collection challenge SevOne utilizes xStats adapters to import non-standard performance data. For when SNMP won’t work.
Every enterprise is constantly evolving its approach to infrastructure monitoring. In an era when many IT organizations are transforming themselves from cost centers into business enablers, the maturity of an organization’s approach to infrastructure monitoring becomes critical. The IT operations team must move beyond ad hoc monitoring and embrace an approach that actively optimizes the infrastructure for business innovation and agility. A maturity model for infrastructure monitoring offers enterprises guidance on how to achieve that goal.
SevOne is used by the world’s leading financial institutions to ensure business uptime and manage the health of their rapidly growing IT environments.
SevOne’s High-Frequency Polling engine ensures maximum data collection and accuracy even polling down to one second intervals on critical objects.
Learn how SevOne helped Financial Services replace their legacy system, and reduce time to generate reports from days to minutes or seconds.
Learn how SevOne helps Financial Services companies save millions of dollars by avoiding downtime with high-frequency polling.
Learn how SevOne helps the rapid growth of high frequency algorithmic trading across the financial markets in New York, London, Tokyo and Hong Kong.