NetFlow can give us all kinds of rich information about our network infrastructure. You’ll find standard fields with information like source and destination and routing details along with advanced fields which give you information like network communication delay, RTP metrics, or DPI application labels. Exported as a standard field from most devices, TCP Flag aggregates can provide more insight into what your flow data is telling you about network activity. Read more
When it comes to network traffic monitoring, a single and unified view of your networking infrastructure is essential in ensuring that your environment is correctly watched over. It’s common to have hundreds, if not thousands, of routing and optimizing devices in today’s global networks. This tends to make monitoring things like traffic load, application usage, host usage, and more a mission-critical feature.
In computer science, the concept of network layers is a framework that helps to understand complex network interactions. There are two models that are widely referenced today: OSI and TCP/IP. The concepts are similar, but the layers themselves differ between the two models.
Being on the pre-sales side of the house, I hear about a lot of upcoming projects for a variety of different companies and verticals. One that is really starting to get some traction is a cloud-first initiative. This guide aims to help new users deploy their Scrutinizer server into Amazon AWS as an AMI.
When it comes to filtering network traffic, a scenario that appears simple in nature can be hard to accomplish at scale. Understanding top talker information or bandwidth trends isn’t really a problem for most traffic analysis solutions—the challenges I encounter revolve around:
- Proactive network monitoring
- Sifting through large amounts of data
Simply put, network analytics is the practice of using different types of network data to identify trends and patterns. Then, that information is used to make better decisions—troubleshooting decisions, threat remediation decisions, business planning decisions, etc. But let’s take a closer look at what network analytics entails, some use cases, and what types of organization can derive the most value from it.
A few years ago, I wrote a blog that talked about how our Palo Alto NetFlow reporting allows network administrators to easily identify traffic trends occurring on the network. The application and username correlation reporting has proved to be extremely value to our customers using Palo Alto Networks as their firewall platforms.
Since then, we have added another reporting and analaysis dimension in regard to the Palo Alto NetFlow. We now use the username visibility to provide global username correlation to any IP address seen on any network device, anywhere on the network.
In today’s world of connected refrigerators, thermostats, cars, and phones, IP addresses are in high demand. IPv6 was invented to solve this problem, but the radical departure from the IPv4 standard has made it slow to adopt. This problem isn’t going away any time soon either: Cisco forecasts that by 2021, the average North American consumer will own 13 connected devices. Publicly addressing each device in North America alone would consume 3,780,000,000 of the 4,294,967,296 IPv4 addresses, or about 90% of the global total of IPv4 addresses available.
In the IT space we are not new to challenges. Some might even say we welcome them and thrive in overcoming hurdles. Each and every department in our IT infrastructure faces their own unique challenges every day. Today I wanted to explore one challenge in particular: data silos.Read more
SD-WAN is gaining tremendous traction as more and more organizations deploy it to replace traditional branch routers. The two biggest reasons for this are ease of use and cost reduction. Saving time and money is a great start, but widespread adoption first requires a solution to a broader set of real-world problems.Read more