Tech Bytes: LiveAction Integrates NDR And Network Visibility (Sponsored)

The Tech Bytes podcast welcomes sponsor LiveAction, which provides network visibility and NDR products for network engineers. We’ll get an overview of LiveAction’s portfolio and take a closer look at new security capabilities in its ThreatEye Network Detection and Response product.

The post Tech Bytes: LiveAction Integrates NDR And Network Visibility (Sponsored) appeared first on Packet Pushers.

Gartner: 10 tech trends you need to know for 2023

IT executives must look beyond cost savings to new forms of operational excellence and seek technologies that can help them optimize resilience, scale industry-specific solutions and product delivery, and pioneer new forms of engagement, according to the 10 top strategic technology trends for 2023 unveiled at Gartner’s IT Symposium/Xpo 2022.These include multiple forms of wireless, artificial intelligence, and sustainability, according to Frances Karamouzis, distinguished vice president and analyst at Gartner, and external events are making IT pros’ decisions about them even more difficult.“Depending on what region of the world you are in there are lots of looming issues such as a potential recession, supply chain concerns, the war in Ukraine and that impact, as well as energy-related issues,” Karamouzis said.To read this article in full, please click here

Network Break 403: Startup Hedgehog Fuses SONiC And Kubernetes; Google, Intel Launch Mount Evans SmartNIC

Take a Network Break! This week we cover a lot of news including a new SONiC startup, Cisco and Microsoft teaming up on collaboration, new hardware from Google and Intel, a new SOC from Palo Alto Networks, space networking, and more.

The post Network Break 403: Startup Hedgehog Fuses SONiC And Kubernetes; Google, Intel Launch Mount Evans SmartNIC appeared first on Packet Pushers.

Startup promises SD-WAN service with MPLS reliability, less complexity

Startup Graphiant emerged from stealth mode last month with what it describes as an enterprise-grade network service that provides the privacy, security, and reliability of MPLS but with the cost effectiveness, agility, and scalability of broadband internet.In addition, the service, called Graphiant Network Edge, is simpler to deploy and manage than the hybrid SD-WAN/MPLS networks that many enterprises wind up with when they adopt SD-WAN, according to Graphiant CEO Khalid Raza.To read this article in full, please click here

netlab Router-on-a-Stick Example

In early June 2022 I described a netlab topology using VLAN trunks in netlab. That topology provided pure bridging service for two IP subnets. Now let’s go a step further and add a router-on-a-stick:

  • S1 and S2 are layer-2 switches (no IP addresses on red or blue VLANs).
  • ROS is a router-on-a-stick routing between red and blue VLANs.
  • Hosts on red and blue VLANs should be able to ping each other.
Lab topology

Lab topology

Read more …

netlab Router-on-a-Stick Example

In early June 2022 I described a netlab topology using VLAN trunks in netlab. That topology provided pure bridging service for two IP subnets. Now let’s go a step further and add a router-on-a-stick:

  • S1 and S2 are layer-2 switches (no IP addresses on red or blue VLANs).
  • ROS is a router-on-a-stick routing between red and blue VLANs.
  • Hosts on red and blue VLANs should be able to ping each other.
Lab topology

Lab topology

Read more …

Linear Regression Rough Notes

Introduction

xkcd

When it comes to stats, one of the first topics we learn is linear regression. But many people don’t realize how deep the linear regression topic is. Below are my partial notes on Linear Regression for anyone who may find this helpful.

Linear Model

A basic statistical model with single explanatory variable has equation describing the relation between x and the mean $\mu$ of the conditional distribution of Y at each value of x.

$ E(Y_{i}) = \beta_{0} + \beta_{1}x_{i} $

Alternative formulation for the model expresses $Y_{i}$

$ Y_{i} = \beta_{0} + \beta_{1}x_{i} + \epsilon_{i} $

where $\epsilon_{i}$ is the deviation of $Y_{i}$ from $E(Y_{i}) = \beta_{0} + \beta_{1}x_{i} + \epsilon_{i}$ is called the error term, since it represents the error that results from using the conditional expectation of Y at $x_{i}$ to predict the individual observation.

Least Squares Method

For the linear model $E(Y_{i}) = \beta_{0} + \beta_{1}x_{i}$, with a sample of n observations the least squares method determines the value of $\hat{\beta_{0}}$ and $\hat{\beta_{1}}$ that minimize the sum of squared residuals.

$ \sum_{i=1}^{n}(y_{i}-\hat{\mu_{i}})^2 = \sum_{i=1}^{n}[y_{i}-(\hat{\beta_{0}} + \hat{\beta_{1}}x_{i})]^2 = \sum_{i=1}^{n}e^{2}_{i} $

As a function of model parameters $(\beta_{0} , \beta_{1})$, the expression is quadratic in $\beta_{0},\beta_{1}$

$ Continue reading

Linear Regression Notes

Introduction

xkcd

When it comes to stats, one of the first topics we learn is linear regression. But most people don’t realize how deep the linear regression topic is, and observing blind applications in day-to-day life makes me cringe. This post is not about virtue-signaling(as I know some areas I haven’t explored myself), but to share my notes which may be helpful to others.

Linear Model

A basic stastical model with single explanatory variable has equation describing the relation between x and the mean $\mu$ of the conditional distribution of Y at each value of x.

$ E(Y_{i}) = \beta_{0} + \beta_{1}x_{i} $

Alternative formulation for the model expresses $Y_{i}$

$ Y_{i} = \beta_{0} + \beta_{1}x_{i} + \epsilon_{i} $

where $\epsilon_{i}$ is the deviation of $Y_{i}$ from $E(Y_{i}) = \beta_{0} + \beta_{1}x_{i} + \epsilon_{i}$ is called the error term, since it represents the error that results from using the conditional expectation of Y at $x_{i}$ to predict the individual observation.

Least Squares Method

For the linear model $E(Y_{i}) = \beta_{0} + \beta_{1}x_{i}$, with a sample of n observations the least squares method determines the value of $\hat{\beta_{0}}$ and $\hat{\beta_{1}}$ that minimize the sum of squared residuals.

$ \sum_{i=1}^{n}(y_{i}-\hat{\mu_{i}})^2 = \sum_{i=1}^{n}[y_{i}-(\hat{\beta_{0}} + Continue reading

Using Wikipedia from the Linux command line

If you are sitting in front of a Linux system, you can always pop open a browser and query topics of interest on Wikipedia. On the other hand, if you’re logged on through a terminal emulator like PuTTY or you just prefer using the command line, there is another option: wikit.Wikit is a tool that queries Wikipedia from the command line and provides summaries of its content on a huge collection of topics. It's easy to use and allows you to quickly query and, if you want, save the rendered information in a file.How to use wikit One of the things Wikipedia will not, at least currently, tell you about is wikit itself. So, this post will provide information on the command and show you how you can use it.To read this article in full, please click here

Using Wikipedia from the Linux command line

If you are sitting in front of a Linux system, you can always pop open a browser and query topics of interest on Wikipedia. On the other hand, if you’re logged on through a terminal emulator like PuTTY or you just prefer using the command line, there is another option: wikit.Wikit is a tool that queries Wikipedia from the command line and provides summaries of its content on a huge collection of topics. It's easy to use and allows you to quickly query and, if you want, save the rendered information in a file.How to use wikit One of the things Wikipedia will not, at least currently, tell you about is wikit itself. So, this post will provide information on the command and show you how you can use it.To read this article in full, please click here

The state of 5G in India: 5G services begin to roll out

With the government successfully concluding the 5G spectrum auction on 1 August 2022, the fifth-generation telecom services were rolled out in India on 1 October 2022 to the first 13 cities, which include Delhi, Mumbai, Chennai, Kolkata, Bengaluru, Chandigarh, Gurugram, Hyderabad, Lucknow, Pune, Gandhinagar, Ahemdabad, and Jamnagar. 5G will eventually be available nationwide. And Apple, Google, and Samsung have promised updates soon to their more recent phones to enable 5G service on them.In the August auction, the government mopped up a total of ₹1,50,173 crore (₹1,501.7 billion) through the auction that witnessed 40 rounds of bidding by four companies—Reliance Jio, Bharti Airtel, Vodafone Idea and Adani Data Networks—spread over seven days.To read this article in full, please click here

VPP Lab – Setup

VPP

Introduction

In a previous post (VPP Linux CP - Virtual Machine Playground), I wrote a bit about building a QEMU image so that folks can play with the Vector Packet Processor and the Linux Control Plane code. Judging by our access logs, this image has definitely been downloaded a bunch, and I myself use it regularly when I want to tinker a little bit, without wanting to impact the production routers at AS8298.

The topology of my tests has become a bit more complicated over time, and often just one router would not be enough. Yet, repeatability is quite important, and I found myself constantly reinstalling / recheckpointing the vpp-proto virtual machine I was using. I got my hands on some LAB hardware, so it’s time for an upgrade!

IPng Networks LAB - Physical

Physical

First, I specc’d out a few machines that will serve as hypervisors. From top to bottom in the picture here, two FS.com S5680-20SQ switches – I reviewed these earlier [ref], and I really like these, as they come with 20x10G, 4x25G and 2x40G ports, an OOB management port and serial to configure them. Under it, is its larger brother, with 48x10G Continue reading

Heavy Networking 651: How Juniper Networks’ SMO Enables Network Slicing (Sponsored)

As carriers and service providers look to embrace disaggregated infrastructure and software, and drive new business through technologies such as network slicing, it’s critical to have management and orchestration capabilities to coordinate  hardware and software resources in the RAN, the transport layer, and the network core. On today's sponsored Heavy Networking, sponsored by Juniper, we dive into Juniper's Service Management and Orchestration (SMO) platform, which is designed to provision, manage and monetize custom network services on demand.

Heavy Networking 651: How Juniper Networks’ SMO Enables Network Slicing (Sponsored)

As carriers and service providers look to embrace disaggregated infrastructure and software, and drive new business through technologies such as network slicing, it’s critical to have management and orchestration capabilities to coordinate  hardware and software resources in the RAN, the transport layer, and the network core. On today's sponsored Heavy Networking, sponsored by Juniper, we dive into Juniper's Service Management and Orchestration (SMO) platform, which is designed to provision, manage and monetize custom network services on demand.

The post Heavy Networking 651: How Juniper Networks’ SMO Enables Network Slicing (Sponsored) appeared first on Packet Pushers.

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