Just as mass adoption of the public cloud ushered in an era of digital transformation for most enterprises, the ready availability of Software-as-as-Service (SaaS) applications is changing the very DNA of organisations. In this article we look at the role that connectivity can play in improving the performance of your mission critical applications. Chances are your business already uses a variety of SaaS tools in its day-to-day operations.

To work efficiently, the client and server exchange information on a regular basis. A webserver typically employs reverse proxies. A client sees a reverse proxy or gateway as if it were a regular web server, and no extra configurations are required. The client sends standard requests to the reverse proxy, which then determines where to send the data, providing the final result to the client as if it were the origin.

Every network has a specific collection of nodes and links that connect them. The arrangement of those nodes and links, or the network topology, informs performance, maintenance costs, and more. You should know the network topology models in use today when designing or managing a network, including the ring, mesh, bus, star, and tree topologies.

To realize the full potential of APM, many customers are migrating from their existing APM 10.7 clusters to DX APM. In addition, they continue to onboard new applications for monitoring. These efforts require a series of steps, including the configuration of experience views, universes, and DX Operational Intelligence services.

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?