Tech Bytes: Operationalizing EVPN For Data Center Networks With Nokia (Sponsored)
On today’s Tech Bytes podcast, sponsored by Nokia, we dive into data center networking and EVPN. Nokia’s SR-Linux operating system can help you build a data center fabric with EVPN, and in this episode we’re going to discuss how Nokia operationalizes that protocol.
The post Tech Bytes: Operationalizing EVPN For Data Center Networks With Nokia (Sponsored) appeared first on Packet Pushers.
Tech Bytes: Operationalizing EVPN For Data Center Networks With Nokia (Sponsored)
On today’s Tech Bytes podcast, sponsored by Nokia, we dive into data center networking and EVPN. Nokia’s SR-Linux operating system can help you build a data center fabric with EVPN, and in this episode we’re going to discuss how Nokia operationalizes that protocol.Network Break 351: Juniper’s Wired Campus Fabric Challenges Cisco; More Azure Holes Revealed
Today's Network Break podcast discusses Juniper's new wired campus effort and how it leverages Mist Cloud for to help automate its campus fabric, a new set of Azure vulnerabilities, robust SD-WAN growth with the biggest players reaping most of the rewards, free space optics for hard-to-wire regions, and more tech news.
The post Network Break 351: Juniper’s Wired Campus Fabric Challenges Cisco; More Azure Holes Revealed appeared first on Packet Pushers.
Network Break 351: Juniper’s Wired Campus Fabric Challenges Cisco; More Azure Holes Revealed
Today's Network Break podcast discusses Juniper's new wired campus effort and how it leverages Mist Cloud for to help automate its campus fabric, a new set of Azure vulnerabilities, robust SD-WAN growth with the biggest players reaping most of the rewards, free space optics for hard-to-wire regions, and more tech news.Containernet
Containernet is a fork of the Mininet network emulator that uses Docker containers as hosts in emulated network topologies.
Multipass describes how build a Mininet testbed that provides real-time traffic visbility using sFlow-RT. This article adapts the testbed for Containernet.
multipass launch --name=containernet bionic
multipass exec containernet -- sudo apt update
multipass exec containernet -- sudo apt -y install ansible git aptitude default-jre
multipass exec containernet -- git clone https://github.com/containernet/containernet.git
multipass exec containernet -- sudo ansible-playbook -i "localhost," -c local containernet/ansible/install.yml
multipass exec containernet -- sudo /bin/sh -c "cd containernet; make develop"
multipass exec containernet -- wget https://inmon.com/products/sFlow-RT/sflow-rt.tar.gz
multipass exec containernet -- tar -xzf sflow-rt.tar.gz
multipass exec containernet -- ./sflow-rt/get-app.sh sflow-rt mininet-dashboard
Run the above commands in a terminal to create the Containernet virtual machine.
multipass list
List the virtual machines
Name State IPv4 Image
primary Stopped -- Ubuntu 20.04 LTS
containernet Running 192.168.64.12 Ubuntu 18.04 LTS
172.17.0.1
Find the IP address of the mininet virtual machine we just created (192.168.64.12).
multipass exec containernet -- ./sflow-rt/start.sh
Start sFlow-RT. Use a web browser to connect to the VM and Continue reading
How to customize your HTTP DDoS protection settings
We’re excited to announce the availability of the HTTP DDoS Managed Ruleset. This new feature allows Cloudflare customers to independently tailor their HTTP DDoS protection settings. Whether you’re on the Free plan or the Enterprise plan, you can now tweak and optimize the settings directly from within the Cloudflare dashboard or via API.
We expect that in most cases, Cloudflare customers won't need to customize any settings. Our mission is to make DDoS disruptions a thing of the past, with no customer overhead. To achieve this mission we’re constantly investing in our automated detection and mitigation systems. In some rare cases, there is a need to make some configuration changes, and so now, Cloudflare customers can customize those protection mechanisms independently. The next evolutionary step is to make those settings learn and auto-tune themselves for our customers, based on their unique traffic patterns. Zero-touch DDoS protection at scale.
Unmetered DDoS Protection
Back in 2017, we announced that we will never kick a customer off of our network because they face large attacks, even if they are not paying us at all (i.e., using the Free plan). Furthermore, we committed to never charge a customer for DDoS attack traffic Continue reading
Imaging mounted disk volumes under duress
Imaging mounted disk volumes under duress
Backups are critical. If you are lucky and organised you have a set of useful backup primitives, such as Point in Time snapshots on your Infra
The Impact of Today’s Hybrid IT Environment on NetOps Pros
The shift to hybrid work environments has put a premium on network visibility, connectivity, and agility.netsim-tools: Network Topology Graphs
Someone using my netsim-tools sent me an intriguing question: “Would it be possible to get network topology graphs out of the tool?”
Please note that we’re talking about creating graphs out of network topology described as a YAML data structure, not a generic GUI or draw my network tool. If you’re a GUI person, this is not what you’re looking for.
I did something similar a long while ago for a simple network automation project (and numerous networking engineers built really interesting stuff while attending the Building Network Automation Solutions course), so it seemed like a no-brainer. As always, things aren’t as easy as they look.
AWS Networking – Part III: VPC Verification Using AWS CLI
VPC Verification Using AWS CLI
We can verify our VPC configuration by using AWS CLI. Example 1-1 shows the output for command aws ec2 describe-vpc in JSON format. This command lists all our VPC resources with their properties. The first one is the newest VPC NVKT-VPC-01, and the second one is the default VPC which I have named DFLT-VPC. The first VPC gets ordinal zero [0], and the second VPC gets number one [1]. Note that ordinal numbers are not shown in the output. VPC properties describe the VPC-specific CIDR Block, DHCP Options, VPC Identifier, Owner Id, CIDR Block Association, and Tags.
aws ec2 describe-vpcs
{
"Vpcs": [
{
"CidrBlock": "10.10.0.0/16",
"DhcpOptionsId": "dopt-09217361",
"State": "available",
"VpcId": "vpc-04ef72cc79a73f82e",
"OwnerId": "123456654321",
"InstanceTenancy": "default",
"CidrBlockAssociationSet": [
{
"AssociationId": "vpc-cidr-assoc-0379c0e3e854f43ff",
"CidrBlock": "10.10.0.0/16",
"CidrBlockState": {
"State": "associated"
}
}
],
"IsDefault": false,
"Tags": [
{
"Key": "Name",
"Value": "NVKT-VPC-01"
}
]
},
{
"CidrBlock": "172.31.0.0/16",
"DhcpOptionsId": "dopt-09217361",
"State": "available",
AWS Networking – Part II: Create VPC – AWS Console
The first thing to do when we create a VPC is to log in to the AWS console. Then we select the AWS Region where we want to launch our VPC. We are going to use VPC Region Europe (London) eu-west-2. As the last step, we give the name to VPC and associate a CIDR block 10.10.0.0/16 to it.
Figure 1-3: Virtual Private Cloud (VPC) – Example VPC.
Project Myriagon: Cloudflare Passes 10,000 Connected Networks
During Speed Week, we’ve talked a lot about the products we’ve improved and the places we’ve expanded to. Today, we have a final exciting announcement: Cloudflare now connects with more than 10,000 other networks. Put another way, over 10,000 networks have direct on-ramps to the Cloudflare network.
This is the culmination of a special project we’ve been working on for the last few months dubbed Project Myriagon, a reference to the 10,000-sided polygon of the same name. In going about this project, we have learned a lot about the performance impact of adding more direct connections to our network — in one recent case, we saw a 90% reduction in median round-trip end-user latency.
But to really explain why this is such a big milestone, we first need to explain a bit about how the Internet works.
More roads leading to Rome
The Internet that all know and rely on is, on a basic level, an interconnected series of independently run local networks. Each network is defined as its own “autonomous system.” These networks are delineated numerically with Autonomous Systems Numbers, or ASNs. An ASN is like the Internet version of a zip code, a short number directly mapping Continue reading
How to Innovate Your Online Social Network
It is true that social media platforms have grown by leaps and bounds in the past few years. Despite the growth these platforms also face continuous criticism. It can however, not be ignored that in the coming years the social media platforms are said to improve more. These platforms are extremely unified when it comes to creating an impact. I’m the times of COVID these platforms have evolved thoroughly; people have considerably been attached, hooked more like glued to them for the entire time.
Social media platforms have not only evolved the business markets but it has also created an impact on how as a whole our society moves. It has done a great job in highlighting the evils of our society while it has also created a few negative affects which can not be ignored. Following are the few ways through which one can improve their use of these platforms to support their growth.
Do Not Rely On a Single Platform
If we talk about growth one needs to understand that the trend keeps evolving when the social media marketing started the most sought after channel for promotions was Twitter, however later on Facebook also indulged in Continue reading
Epidemic Modeling(DES)
Introduction
One of the things I have been trying to play recently with is Discrete Event Simulation(DES). I think it is a powerful tool for validating ideas. In this post, we will look at a toy epidemic model to simulate SIS/SIR models.
In Epidemic modeling, there are two classic models - SIS and SIR models. The models divide the population into different categories corresponding to different stages of the epidemic.
- Susceptible(S): Susceptible individuals can contract the disease.
- Infected(I): Infected individuals have already been contracted the disease.
- Recovered(R): Recovered individuals are recovered from the disease and can not be infected again.
SIS Model
In case of SIS, the main assumption is that an infected person can get infected again after recovering. The state transition diagram looks like:
- $\beta$ is the probability of transitioning from
Susceptible(S)toInfected(I) - $\mu$ is the probability of transitioning from
Infected(I)toSusceptible(S)
SIR Model
In case of SIR, the main assumption is that an infected person can not get infected again. The state transition diagram looks like:
- $\beta$ is the probability of transitioning from
Susceptible(S)toInfected(I) - $\mu$ is the probability of transitioning from
Infected(I)toRecovered(R)
SIS Simulation
We will have a generic Simulation class Continue reading
Cloudflare Pages is Lightning Fast
When we announced Cloudflare Pages in April, our goal wasn’t to bring just any web development tool to the table. As a front-end developer, it’s your responsibility to bring the ideas of your marketing, product and engineering teams to life by crafting a beautifully engaging experience for every customer. With all the hard work that goes into the development process — turning mock-ups to code, getting input from your team, staging and testing changes — you want the best performance possible for your site to showcase your work and optimize your customers’ experience.
Cloudflare Pages is the most secure and most scalable Jamstack platform to build and deploy your sites on the edge. But how is Pages so fast?
It comes down to three key reasons:
- Pages is built on one of the fastest networks in the world, putting us within 50 ms of 95% of the world’s Internet-connected population. Delivering Pages from this network is the basis of our speed.
- Cloudflare helps define and implement next generation standards, like QUIC + HTTP/3 and Early Hints, that push Pages performance to the next level.
- Pages has a killer developer experience that makes it easy to build the fastest websites on Continue reading
Profiling Your Workers with Wrangler
In the year since Cloudflare’s launch of Workers Unbound, developers have unlocked the ability to run computationally intensive workloads on the Cloudflare edge network — like image processing, game logic, and other complex algorithms. With all that additional computing power comes a host of questions around performance. Our customers often ask us how they can profile or monitor their Workers to see where they spend the most CPU time, or to see whether their changes improve performance.
Here at Cloudflare, we not only want to build the fastest, most affordable, and most flexible compute platform at the edge; we also want to make the lives of our developers easier in building their applications. To do this, Cloudflare has begun to integrate with existing tools — places our developers feel comfortable and efficient in their day-to-day work. To help measure performance of our customers’ Workers, we’re beginning to integrate with the Chrome DevTools protocol. Just like you can use chrome://inspect to debug your Node backend, you can also use it to profile your Cloudflare Workers.
Introducing Chrome DevTools Integration (Beta)
We’re starting off this integration with beta support for local CPU profiling, using Wrangler. To show off how to use this Continue reading