Operations | Monitoring | ITSM | DevOps | Cloud

Slow Application? Here's What to Do

Today, everything we work on relies on being connected to an app. Whether we are in a household or running a business, applications have become as accessible as air. Alright, almost like air. If your business relies on applications to survive, a Slow Application spells disaster. Getting to the bottom of the slowdown becomes a tedious exercise of pointing fingers and going down the rabbit hole. Even worse is if it affects a business’ customers.

Phil Gervasi on Network Observability and Cisco Live | Network AF Episode 20

Phil Gervasi, Kentik's Head of Technical Evangelism stops by Network AF today to speak with host Avi Freedman about all things network observability and to recap their experiences at Cisco Live. Phil was a network engineer for 15 years before switching to marketing and finding his way into technical evangelism. In this conversation the two focus on building a foundation for data mining and collecting information that could better inform network intelligence and insights from observability platforms like Kentik.

Voice Network Fraud: How to Fight Back with Automated Threat Prevention

Telecommunications fraud is estimated to be a $39 billion a year problem according to the Communications Fraud Control Association. Despite that, less than 50% of enterprises* have implemented any sort of strategy to address fraud in their voice infrastructure. Firewalls and SBCs are not enough to provide a secure voice network. Enterprises need a more complete approach to network security—one that encompasses the unique vulnerabilities of real-time communications systems—to preempt issues and protect the organization as a whole.

Logging in Python: A Developer's Guide

Have you ever had a tough time debugging your Python code? If yes, learning how to set up logging in Python can help you streamline your debugging workflow. As a beginner programmer, you’ll have likely used the print() statement—to print out certain values across runs of your program—to check if the code is working as expected. Using print() statements to debug could work fine for smaller Python programs.