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![]() cPacket Presented at Networking Field Day 35 |
This Presentation date is July 11, 2024 at 8:00-9:30.
Presenters: Mark Grodzinsky, Norm Bright, Ron Nevo
Follow on Twitter using the following hashtags or usernames: #NFD35
cPacket Company Introduction with Mark Grodzinsky
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cPacket’s evolution and journey from fabless ASIC company from Deep Packet Inspection (DPI) to a leading network observability solution based on packet-data with a product portfolio that includes packet-brokering and delivery, packet-capture, packet-analytics and AI for Network Observability, empowering the NetOps teams of the most demanding enterprises.
Personnel: Mark Grodzinsky
cPacket Company Journey with Ron Nevo
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Learn how cPacket has focused on network observability and specialized environments such as electronic trading and AI inferencing. Understand how cPacket is providing critical information about connectivity, latency, and quality to decision makers in these areas to optimize performance and reduce complexity and costs to provide better outcomes for the business.
Personnel: Ron Nevo
cPacket Electronic Trading Network and Microburst Analytics
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cPacket products inspect more than 50% of the world trading volume in equities and foreign exchange. Electronic trading systems must deliver lossless packet-data over IP multicast network with ultra low latency that is measured in nanoseconds. With these constraints the networks are sensitive to microbursts. NetOps teams count on the capabilities of cPacket’s packet-brokering and packet-delivery products to root-cause and resolve issues in their networks where nanoseconds accuracy and milliseconds resolution matters.
Personnel: Ron Nevo
cPacket Network Observability at the Enterprise Core
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cPacket provides the leading tools for the enterprise core, where every single transaction matters. The enterprise core is built on 100Gbps networks from multiple vendors, running hundreds of business applications, thousands of servers, and tens of thousands of clients, with connectivity to multiple datacenters, colos, partners, and customers, around the world. Network engineers in these environments count on cPacket to root-cause issues quickly to keep the networks resilient with minimal MTTR. To resolve problems of connectivity, latency, quality in these environments by answering the 4Ws: What, When, Where and Why, network engineers count on cPacket’s products to translate trillions of packets into metrics that can be visualized to understand the network issues.
Personnel: Ron Nevo
cPacket Network Observability at the Hybrid-Cloud Enterprise
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cPacket products operate seamlessly across the hybrid infrastructure. With enterprise workloads migrating to the cloud or repatriating from the cloud to the datacenter the NetOps team have to have a future-proof observability solution that provides the same level of network observability insights across the service chain with the same workflows.
Personnel: Norm Bright, Ron Nevo
cPacket AI for Network Observability
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cPacket is leading the way in leveraging AIML to provide meaningful actionable insights for the NetOps engineers. With the increased complexity of the networks, and the challenges to hire and train network experts, NetOps teams are looking for the “easy button” to identify, and root-cause issue before they impact their users. cPacket is using our experience in creating and interpreting packet data to create simple text based insights for network operation engineers that can point them to the problem and its root-cause, sifting through billions of sessions metrics every day.
Personnel: Norm Bright, Ron Nevo
cPacket Network Observability for AI
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cPacket started its network observability journey with electronic trading system and their unique challenges of microbursts. However today we’re seeing the same exact challenges with microbursts, and low-latency with the massive AIML clusters built around the world. cPacket is using our unique IP and working with our customers and partners to deliver the solutions that allow them to analyze
microbursts and low-latency issues at scale within the AIML clusters.
Personnel: Ron Nevo