Kentik offers a Big Data, cloud-scale SaaS solution for network traffic visibility. We ingest billions of NetFlow, sFlow, IPFIX and BGP routing records, keep 90 days of raw data for you to analyze in real-time for the deepest and most comprehensive network insight available. Check out our channel to learn how you can know your network better.
Traditional network performance management (NPM) was designed in the pre-cloud days of monolithic applications running in centralized data centers. But in the cloud and digital business era, applications are more distributed, and network traffic patterns are more complex and reliant on Internet transit. Cloud-friendly NPM for digital operations requires a different approach, one that can collect pervasive performance data from cloud environments, integrate unsummarized NetFlow and Internet path data, and offer Big Data insights to assure optimal user experience. Join this webinar to learn how to get this integrated insight for cloud and Internet-facing applications.
What is the state of DDoS defense today?
Kentik CEO and networking expert Avi Freedman explains:
•The main pain points in dealing with DDoS attacks
•Why DDoS defense is evolving to utilize big data
•How SaaS helps IT managers get to better visibility faster
•What are the the key considerations for modern DDoS defense
Kentik’s Jim Frey explains:
•Why big data is changing network management
•The benefits of big data network visibility
•How to evaluate big data technologies for networking purposes
•Kentik’s take on big data network analytics
Network data is big data. Modern networks can easily generate hundreds of millions to billions of data records per day. That data is a wealth of network operations, network security and business insights. The problem has been getting the value out of the data. Traditional appliances and software have been far too shallow. Big data analytics is the way forward. However, common big data platforms don't meet the scale, speed, flexibility, ease of use and cost-efficiency requirements of the vast majority of organizations. In this webinar, Kentik solutions engineer Jim Meehan will review these issues, introduce Kentik's post-Hadoop big data network traffic analytics platform and give a demonstration of how it works using real network traffic.
DDoS detection and mitigation have traditionally been predicated exclusively on a priori definition of threats. The problem with this model is that its becoming obsolete. Attacks are morphing faster, and technology has moved beyond the compute and storage constraints of the past. This webinar will explore the changing nature of DDoS threats, the need for agile detection approaches, and how to achieve an optimal combination of predefined alert and full visibility analysis approaches to keep your network and infrastructure protected.
NetFlow analysis is in its third decade, and many of the architectures that have defined the space are looking pretty long in the tooth. As network function virtualization and DevOps leads IT organizations towards greater cloud and automation orientation, commercial NetFlow analysis tools have largely stuck to Windows software or hardware appliances. What is the next generation of NetFlow analysis? What are the options for IT and network organizations today? This webinar with Kentik VP Product Management and former EMA analyst Jim Frey will help you understand your choices.
If your business is heavily dependent on the Internet, you may be facing an unprecedented level of network traffic analytics data. How to make the most of that data is the challenge. This webinar explores the evolving need, the architecture and key use cases for BGP and NetFlow analysis based on scale-out cloud computing and Big Data technologies.