At that ONUG Spring 2018 event, ACG analyst Stephen Collins moderated a panel discussion on re-tooling IT operations with machine learning and AI. The panelists provided a view “from the trenches.” In this post, Collins shares insights into how panelists’ organizations are applying ML and AI today, each in different operational domains, but with a common theme of overcoming the challenge of managing operations at scale.
Predictive analytics has improved over the past few years, benefiting from advances in AI and related fields. In this post, we look at how predictive analytics can be used to help network operations. We also dig into the limitations and how the accuracy of the predictions depends heavily on the quality the data collected.
The adoption of hyperscale principles presents data center operators with massive scale visibility challenges. Yet it’s inevitable. In this post, ACG analyst Stephen Collins discusses why operators need to prepare for the inevitable by acquiring and mastering the new tools needed to assure the performance, reliability and security of these applications.
Industry 4.0 is the next phase in the digitization of the manufacturing sector. In this post, ACG Research’s Principal Analyst Stephen Collins looks at the major implications that Industry 4.0 will create for enterprise IT systems, software and network infrastructure, and how to model, monitor and control it all.
Not long ago network flow data was a secondary source of data for IT departments trying to better understand their network status, traffic, and utilization. Today it’s become a leading focus of analysis, yielding valuable insights in areas including network security, network optimization, and business processes. In this post, senior analyst Shamus McGillicudy of EMA looks at the value and versatility of flow for network analytics.
Cisco’s late-January acquisition of AppDynamics confirms what was already evident from Kentik’s experience in 2016, which is that effective visibility is now recognized industry-wide as a critical requirement for success. AppDynamics provides APM, the full value of which can’t be realized without the modern NPM offered by Kentik Detect. In this post we look at how Kentik uniquely complements APM to provide a comprehensive visibility solution.
Earlier this year the folks over at RouterFreak did a very thorough review of Kentik Detect. We really respected their thoroughness and the fact that they are practicing network engineers, so as we’ve come up with cool new gizmos in our product, we’ve asked them to extend their review. This post highlights some excerpts from their latest review, with particular focus on Kentik NPM, our enhanced network performance monitoring solution.
Avi Freedman recently spoke with Ethan Banks and Greg Ferro of PacketPushers about Kentik’s latest updates, which focus primarily on features that enhance network performance monitoring and DDoS protection. This post includes excerpts from that conversation as well as a link to the full podcast. Avi discusses his vision of appliance-free network monitoring, explains how host monitoring expands Kentik’s functionality, and gives an overview of how we detect and respond to anomalies and attacks.
Kentik’s recent recognition as an IDC Innovator for Cloud-Based Network Monitoring was based not only on our orientation as a cloud-based SaaS but also on the deep capabilities of Kentik Detect. In this post we look at how our purpose-built distributed architecture enables us to keep up with raw network traffic data while providing a unified network intelligence solution, including traffic analysis, performance monitoring, Internet peering, and DDoS protection.
How does Kentik NPM help you track down network performance issues? In this post by Jim Meehan, Director of Solutions Engineering, we look at how we recently used our own NPM solution to determine if a spike in retransmits was due to network issues or a software update we’d made on our application servers. You’ll see how we ruled out the software update, and were then able to narrow the source of the issue to a specific route using BGP AS Path.
In this post, based on a webinar presented by Jim Frey, VP Strategic Alliances at Kentik, we look at how changes in network traffic flows — the shift to the Cloud, distributed applications, and digital business in general — has upended the traditional approach to network performance monitoring, and how NPM is evolving to handle these new realities.
Kentik recently launched Kentik NPM, a network performance monitoring solution for today’s digital business. Integrated into Kentik Detect, Kentik NPM addresses the visibility gaps left by legacy appliances, using lightweight software agents to gather performance metrics from real traffic. This podcast with Kentik CEO Avi Freedman explores Kentik NPM as a game-changer for performance monitoring.
Network performance is mission-critical for digital business, but traditional NPM tools provide only a limited, siloed view of how performance impacts application quality and user experience. Solutions Engineer Eric Graham explains how Kentik NPM uses lightweight distributed host agents to integrate performance metrics into Kentik Detect, enabling real-time performance monitoring and response without expensive centralized appliances.