This spring, Kentik employees came together for a company-wide donation drive to support Zebra Youth, an Orlando-based nonprofit that serves LGBTQ+ youth in crisis. With employee contributions matched by Kentik, we doubled our impact, donating $2,400 in essential items, all delivered to Zebra Youth in June to celebrate Pride with purpose.
What’s it like to kick off a new role at a remote company with a team trip and a week of meaningful connection? Our newest technical writer, Kendra Johng, shares how her first days on the job included bonding with her fellow Kentikians in Portland, inspiring moments at the Write the Docs convention, plenty of outings, great food and an unforgettable start.
Introducing Cause Analysis from Kentik, designed to simplify network traffic analysis and rapidly identify the root cause of issues. Learn how this exciting new feature streamlines troubleshooting, makes complex insights accessible, and boosts team efficiency for all users.
Kentik CEO and co-founder Avi Freedman explains why observability is not enough in the age of AI.
AutoCon3 in Prague offered important takeaways on network automation’s evolution, from hands-on learning and design principles to the impact of AI and the power of community. Read Justin Ryburn’s recap to learn about key insights from the event, showing why network automation is now a core competency you’ll want to understand.
The tools we use shape how we see problems. When flow and metrics are siloed, so is your visibility.
Kentik kicked off a new tradition — the Founders’ Awards — at our Level Up offsite in Orlando this March, honoring two outstanding team members who always go above and beyond. From bold ideas to big impact (and a well-earned getaway), read on to see what makes these stars shine.
In leaf-spine data center networks, traffic often becomes imbalanced, leaving some uplinks idle and resulting in wasted bandwidth. Kentik helps engineers identify underutilized paths, diagnose the causes, and take corrective action using enriched telemetry, visual topology maps, and intelligent alerts, turning hidden inefficiencies into actionable insights.
In this post, we discuss how the ongoing war in Ukraine has led to a significant decline in the amount of IPv4 address space announced by Ukrainian Autonomous Systems (ASes), and why those addresses are often now being announced by western ISPs and major public clouds.
By applying data engineering and machine learning to raw network telemetry, it’s possible to surface insights that would otherwise go unnoticed. Learn how this approach helps teams detect anomalies in real time, forecast capacity needs, and automate responses across complex, multi-domain environments.