In this post, learn about what a UDR is, how it benefits machine learning, and what it has to do with networking. Analyzing multiple databases using multiple tools on multiple screens is error-prone, slow, and tedious at best. Yet, that’s exactly how many network operators perform analytics on the telemetry they collect from switches, routers, firewalls, and so on. A unified data repository unifies all of that data in a single database that can be organized, secured, queried, and analyzed better than when working with disparate tools.
Network telemetry and DataOps play a critical role in enhancing network visibility. By combining both, organizations can improve network visibility and gain insight to help them optimize their network performance, improve security, and enhance the overall user experience.
When coupled with a network observability platform, device telemetry provides network engineers and operators critical insight into cost, performance, reliability, and security. Learn how to create actionable results with device telemetry in our new article.
Traffic telemetry is the foundation of network observability. Learn from Phil Gervasi on how to gather, analyze, and understand the data that is key to your organization’s success.
Collecting and enriching telemetry data with DevOps observability data is key to ensuring organizational success. Read on to learn how to identify the right KPIs, collect vital data, and achieve critical goals.
Machine learning has taken the networking industry by storm, but is it just hype, or is it a valuable tool for engineers trying to solve real world problems? The reality of machine learning is that it’s simply another tool in a network engineer’s toolbox, and like any other tool, we use it when it makes sense, and we don’t use it when it doesn’t.
In order to answer any question, network observability requires a broad range of telemetry data. It takes a capable platform to make the data useful. In this blog, the fourth in the network observability series, Avi Freedman describes requirements for the data platform.
In part 3 of the network observability series, Kentik CEO Avi Freedman discusses the different categories telemetry data. Avi shows how a complete network observability solution can answer an exponentially broader range of questions.
Kentik explains the advantage that streaming telemetry (also known as streaming network telemetry) brings to network analytics and our approach to leveraging streaming telemetry for maximum value.