Building and using Managed Components with WebCM

Building and using Managed Components with WebCM
Building and using Managed Components with WebCM

Managed Components are here to shake up the way third-party tools integrate with websites. Two months ago we announced that we’re open sourcing parts of the most innovative technologies behind Cloudflare Zaraz, making them accessible and usable to everyone online. Since then, we’ve been working hard to make sure that the code is well documented and all pieces are fun and easy to use. In this article, I want to show you how Managed Components can be useful for you right now, if you manage a website or if you’re building third-party tools. But before we dive in, let’s talk about the past.

Third-party scripts are a threat to your website

For decades, if you wanted to add an analytics tool to your site, a chat widget, a conversion pixel or any other kind of tool – you needed to include an external script. That usually meant adding some code like this to your website:

<script src=”https://example.com/script.js”></script>

If you think about it – it’s a pretty terrible idea. Not only that you’re now asking the browser to connect to another server, fetch and execute more JavaScript code – you’re also completely giving up the control on your Continue reading

3 places edge-computing challenges can lurk

How much computing power should we put at the edge of the network?In the past when networks weren’t supposed to be very smart, it wasn’t even a question. The answer was none. But now that it’s possible to bring often substantial amounts of computational equipment right to the very edge of the network, the right answer isn’t always so easy.The arguments in favor are simple. When packets travel shorter distances, response time is faster. With compute, storage and networking deployed at the edge, network lags and latencies don’t slow down each trip between users and resources, and users and applications get better response times.At the same time, because more work is done at the edge, the need will drop for bandwidth between remote sites back and central data centers or the cloud: Less bandwidth, lower cost.To read this article in full, please click here

3 places edge-computing challenges can lurk

How much computing power should we put at the edge of the network?In the past when networks weren’t supposed to be very smart, it wasn’t even a question. The answer was none. But now that it’s possible to bring often substantial amounts of computational equipment right to the very edge of the network, the right answer isn’t always so easy.The arguments in favor are simple. When packets travel shorter distances, response time is faster. With compute, storage and networking deployed at the edge, network lags and latencies don’t slow down each trip between users and resources, and users and applications get better response times.At the same time, because more work is done at the edge, the need will drop for bandwidth between remote sites back and central data centers or the cloud: Less bandwidth, lower cost.To read this article in full, please click here

EVPN-VXLAN: Symmetrical IRB versus Asymmetrical IRB

EVPN-VXLAN: Symmetrical IRB versus Asymmetrical IRB

Now that we've covered the two flavours of IRB in depth, I want to share more of a discussion piece. Technical details are interesting, sometimes even fun, but what about real-world operational considerations?

"Everyone has a plan..."

Viewing the intimidating assortment of pikes, swords, sharp, and bashy objects in the Tower of London armoury during a recent visit, I was reminded of that Tyson quote "Everyone has a plan until they get punched in the mouth."
My train of thought was, "being a knight riding around on horseback would be fun and all until an encounter with a big stick with a pointy metal end."
Similarly (or maybe not similar at all, but I hope you get where I'm going here), playing around with the various types of IRB for EVPN has been enlightening and, at times, fun; but what about on a real-world network with its everyday concerns and risk of outages - the pokey, hurty things in my analogy.
What works on paper might not be feasible on a live network, when the focus is primarily on reliability and deploying networks that the NetOps team can realistically support.

Symmetrical IRB - it scales, but at Continue reading

What is eBPF and what are its use cases

With the recent advancements in service delivery through containers, Linux has gained a lot of popularity in cloud computing by enabling digital businesses to expand easily regardless of their size or budget. These advancements have also brought a new wave of attack, which is challenging to address with the same tools we have been using for non cloud-native environments. eBPF offers a new way to interact with the Linux kernel, allowing us to reexamine the possibilities that once were difficult to achieve.

In this post, I will go through a brief history of the steps that eBPF had to take to become the Swiss army knife inside the Linux kernel and point out how it can be used to achieve security in a cloud-native environment. I will also share my understanding of what happens inside the kernel that prevents BPF programs from wreaking havoc on your operating system.

BPF history

In the early days of computing, Unix was a popular solution for capturing network traffic, and using CMU/Stanford packet filter (CSPF) to capture packets using 64KB PDP-11 was gaining popularity by the second. Without a doubt, this was a pioneering work and a leap forward for its time but like Continue reading

Top IT vendors report good financials, onging supply woes

While key network vendors continue to report good financial results, all of the players report continued supply-chain issues and increased order backlogs—challenges that show little sign of abating before the end 2023.Arista supply issues A good example is Arista Networks, which reported its first billion dollar quarter in its history despite the “challenges of an uncertain supply-chain environment,” Jayshree Ullal, Arista President and CEO said during the firm’s Q2 financial call this week. [ Get regularly scheduled insights by signing up for Network World newsletters. ]To read this article in full, please click here

Load Balancing with Weighted Pools

Load Balancing with Weighted Pools
Load Balancing with Weighted Pools

Anyone can take advantage of Cloudflare’s far-reaching network to protect and accelerate their online presence. Our vast number of data centers, and their proximity to Internet users around the world, enables us to secure and accelerate our customers’ Internet applications, APIs and websites. Even a simple service with a single origin server can leverage the massive scale of the Cloudflare network in 270+ cities. Using the Cloudflare cache, you can support more requests and users without purchasing new servers.

Whether it is to guarantee high availability through redundancy, or to support more dynamic content, an increasing number of services require multiple origin servers. The Cloudflare Load Balancer keeps our customer’s services highly available and makes it simple to spread out requests across multiple origin servers. Today, we’re excited to announce a frequently requested feature for our Load Balancer – Weighted Pools!

What’s a Weighted Pool?

Before we can answer that, let’s take a quick look at how our load balancer works and define a few terms:

Origin Servers - Servers which sit behind Cloudflare and are often located in a customer-owned datacenter or at a public cloud provider.

Origin Pool - A logical collection of origin servers. Most pools Continue reading

AWS — Setting up Kinesis Video Stream is extremely easy with AWS Deeplens

<MEDIUM: https://raaki-88.medium.com/aws-setting-up-kinesis-video-stream-is-extremely-easy-with-aws-deeplens-ba13263c9cda&gt;

Note : I wanted to quickly demo out Kinesis video streaming, I initially thought a local-mac was a good candidate, installation was extremely painful, then I created a ubuntu VM 22.04 had errors, then went to ubuntu 20.04, everything was fine but vmware abstraction was very poor for reason and camera was extremely slow, then finally I have decided that I will compile everything on AWS deeplens (which is inherently had ubuntu as base-os) but looks like deeplens has already covered installation of KVS module which I will write up below.

I was reading about Kinesis and power of Kinesis for huge pipelines of inbound data from various sources, what impressed me was Kinesis could be integrated into AWS Rekognition and AWS sagemaker as well to analyze various points of data streamed in real time video or saved video, apart from that AWS-IOT youtube channel is also planning out new series on integration of AWS Kinesis with S3 for image collection completely from Kinesis streaming video itself.

Related URLs

This is the URL that I have used to follow the process and it was pretty straight forward

https://docs.aws.amazon.com/deeplens/latest/dg/deeplens-kinesis-video-streams-api.html

AWS Continue reading

Arista buys software-defined networking pioneer Pluribus

Arista Networks has acquired Pluribus Networks with an eye toward bolstering its own Unified Cloud Networking service.There were no details such as cost of the acquisition nor what the deal means for the 140 Pluribus employees most based in Los Altos, Calif.  What is SDN and where it's going Pluribus is a software-defined networking pioneer, founded in 2010 and has morphed its original Netvisor One, a virtualized Linux-based NOS that provides Layer 2 and Layer 3 networking and distributed fabric intelligence into its Adaptive Cloud Fabric software-defined networking package.To read this article in full, please click here

Arista snaps-up software defined networking pioneer Pluribus

Arista Networks has acquired Pluribus Networks with an eye toward bolstering its own Unified Cloud Networking service.There were no details such as cost of the acquisition nor what the deal means for the 140 Pluribus employees most based in Los Altos, Calif.  What is SDN and where it's going Pluribus is a software-defined networking pioneer, founded in 2010 and has morphed its original Netvisor One, a virtualized Linux-based NOS that provides Layer 2 and Layer 3 networking and distributed fabric intelligence into its Adaptive Cloud Fabric software-defined networking package.To read this article in full, please click here

Learning to Ride

Have you ever taught a kid to ride a bike? Kids always begin the process by shifting their focus from the handlebars to the pedals, trying to feel out how to keep the right amount of pressure on each pedal, control the handlebars, and keep moving … so they can stay balanced. During this initial learning phase, the kid will keep their eyes down, looking at the pedals, the handlebars, and . . . the ground.

After some time of riding, though, managing the pedals and handlebars are embedded in “muscle memory,” allowing them to get their head up and focus on where they’re going rather than on the mechanical process of riding. After a lot of experience, bike riders can start doing wheelies, or jumps, or off-road riding that goes far beyond basic balance.
Network engineer—any kind of engineering, really—is the same way.

At first, you need to focus on what you are doing. How is this configured? What specific output am I looking for in this show command? What field do I need to use in this data structure to automate that? Where do I look to find out about these fields, defects, etc.?

The problem is—it is easy to get Continue reading

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