How a network’s IP address space is structured, scanned, and managed differs based on the organization’s size and networking needs. The bigger your network is, the more IPs you need to manage, and the more complex your IP address hierarchy gets. As a result, issues such as IP resource overutilization and address conflicts become challenging to avoid without an IP address management (IPAM) solution in place.

On June 2, 2019, Google Cloud Platform had a major network outage that disrupted the services of Discord, Spotify, and Snapchat, among many others. The root cause was a benign misconfiguration coupled with a software bug that caused the loss of configuration data. The issue was resolved almost four hours later after the lost configuration data was rebuilt and redistributed.

Nowadays, companies are embracing flexibility. Many businesses are embracing remote offices and working from home, storing their data in the Cloud, ditching centralized data infrastructures, and moving towards networks using SaaS and SD-WAN. With distributed architectures becoming the new normal, it’s important to have a distributed monitoring solution that can keep up. In this article, we’re running you through everything you need to know about how distributed network monitoring works.

This article will dive into your questions surrounding monitoring Juniper Networks. In addition, you will be able to learn how Grafana can help you to monitor Juniper networks systems. As you read through, you will be able to get the answers for the following questions...

It’s surprisingly difficult to find information related to monitoring a distributed network. I think this is because, in part, network pros take the term for granted. We all intuitively know what a distributed network is, and the term is pretty common in conversation. But when you start to think about a precise definition, or even search for one online, things get fuzzy. What exactly makes a network distributed? Is a distributed network fundamentally different from a decentralized network?

Networks aren’t just getting bigger, they’re also becoming more congested and more complex. There are a lot of new considerations for CIOs as they attempt to build fast, secure and reliable networks that can meet all the demands of their business. In this blog, we look at some of the common challenges facing enterprises and explore how a more agile networking model can help.

Imagine this: You’re about to talk to a new prospect. You have your pitch prepared. It’s your normal pitch deck, and it covers the full gamut of managed services—you tackle every device, maintain everything, and highlight the value of your services. You have charts, facts, and figures, and you pump yourself up with your favorite music before entering the room. They politely listen to the pitch and decide they want some time to think about it.

Introducing HighPerf, our highly scalable raw storage database that facilitates smarter analytics, faster troubleshooting, and better bandwidth management.

Robocalling is no small problem. These nuisance calls are the major source of consumer complaints, with some estimates suggesting that more than 22 billion robocalls have been made in 2021 alone – and we’re only halfway through the year.

AI-based monitoring and anomaly detection is the key to ensuring that businesses can keep pace with the high level of service required for mission-critical applications. Early, contextual detection is a basic requirement for speedy resolution. AI-based monitoring creates more visibility and provides the agility needed to mitigate the outages, blackouts, glitches and issues that do and will happen.