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Category Archives for "Networking"

AI tackles data-center workload management

As data center workloads spiral upward, a growing number of enterprises are looking to artificial intelligence (AI), hoping that technology will enable them to reduce the management burden on IT teams while boosting efficiency and slashing expenses.AI promises to automate the movement of workloads to the most efficient infrastructure in real time, both inside the data center as well as in a hybrid-cloud setting comprised of on-prem, cloud, and edge environments. As AI transforms workload management, future data centers may look far different than today's facilities. One possible scenario is a collection of small, interconnected edge data centers, all managed by a remote administrator.To read this article in full, please click here

Unexpected Interactions Between OSPF and BGP

It started with an interesting question tweeted by @pilgrimdave81

I’ve seen on Cisco NX-OS that it’s preferring a (ospf->bgp) locally redistributed route over a learned EBGP route, until/unless you clear the route, then it correctly prefers the learned BGP one. Seems to be just ooo but don’t remember this being an issue?

Ignoring the “why would you get the same route over OSPF and EBGP, and why would you redistribute an alternate copy of a route you’re getting over EBGP into BGP” aspect, Peter Palúch wrote a detailed explanation of what’s going on and allowed me to copy into a blog post to make it more permanent:

Network Break 338: Breach In Progress? Gigamon Operators Are Standing By; IEEE Finalizes New Ethernet Standard

Gigamon adds a human touch to a new SaaS NDR offering, the IEEE finalizes 802.3cu for faster speeds over single-mode optical fiber, US service providers roll out managed SASE services, and more IT news in this week's Network Break podcast.

The post Network Break 338: Breach In Progress? Gigamon Operators Are Standing By; IEEE Finalizes New Ethernet Standard appeared first on Packet Pushers.

The Week in Internet News: Biden Warns Putin About Some Cyberattacks

No-go zone: U.S. President Joe Biden told Russian President Vladimir Putin that some types of cyberattacks are off-limits during a meeting at the G7 summit in Switzerland recently, Reuters reports. Destructive attacks by Russian hackers on U.S. critical infrastructure must end, Biden said. It’s unclear if the talk will have much of an effect. Banned […]

The post The Week in Internet News: Biden Warns Putin About Some Cyberattacks appeared first on Internet Society.

Network Analysis 1. Setting up and Getting Started with Batfish in Multivendor Network with Cisco, Arista, and Cumulus.

Hello my friend,

The new year we start with a new topic, which is a configuration analysis of the multivendor networks. We have a passion both to create our own open source tools and to use existing, creating by other teams and project. Today we will start dive in one of such a tool.


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Network analysis as part of automation?

In software development we have a concept called CI/CD (Continuous Integration/Continuous Delivery). In a nutshell, it’s a methodology, which incorporates mandatory testing of configuration (code, software version, etc) before bringing it to production. The main idea behind it is that automated testing and validation will make sure that code is stable and fit for purpose. Automated testing? That’s where the automation comes to the stage.

And automation is something what we are experts in. And you can benefit from that expertise as well.

In our network automation training we follow zero to hero approach, where we Continue reading

Comparing EVPN with Flood-and-Learn Fabrics

One of ipSpace.net subscribers sent me this question after watching the EVPN Technical Deep Dive webinar:

Do you have a writeup that compares and contrasts the hardware resource utilization when one uses flood-and-learn or BGP EVPN in a leaf-and-spine network?

I don’t… so let’s fix that omission. In this blog post we’ll focus on pure layer-2 forwarding (aka bridging), a follow-up blog post will describe the implications of adding EVPN IP functionality.

Observe & Troubleshoot Your Kubernetes Environments with Dynamic Service Graph

Kubernetes workloads are highly dynamic, ephemeral, and are deployed on a distributed and agile infrastructure. Application developers, DevOps teams, and site reliability engineers (SREs) often require better visibility of their different microservices, what their dependencies are, how they are interconnected, and which other clients and applications access them. This makes Kubernetes observability challenges unique. While Kubernetes helps to meet the needs of deploying and managing distributed applications, its observability challenges require a Kubernetes-native approach.

Traditional monitoring and observability solutions create data silos by collecting data at different levels (e.g. infrastructure, cluster, and application levels), or from a large number of ephemeral objects that generate data across a distributed environment. Traditional monitoring and observability solutions then stitch this data together to provide a near real-time snapshot view. This approach is not scalable given the high volume of granular data generated at each level, as well as Kubernetes’ distributed nature. It also starts to become expensive and budget unfriendly to run traditional monitoring solutions, as they require higher resource consumption (high-performance memory, more compute, and higher bandwidth).

In contrast, a Kubernetes-native observability solution can visualize all information with all relationship context intact and provide a high-fidelity view of the environment. This Continue reading

Heavy Networking 583: How Salesforce Evolved Its Branch Network With Prisma SD-WAN (Sponsored)

On today's Heavy Networking, sponsored by Palo Alto Networks, we hear from Salesforce about the evolution of its branch network to SD-WAN. Salesforce was able to trade MPLS for Internet broadband, get more bandwidth for less money, employ application-based steering and policy enforcement, and more. Our guests are Georgi Stoev, Sr. Network Architect at Salesforce; and Kumar Ramachandran, Senior Vice President at Palo Alto Networks.

Heavy Networking 583: How Salesforce Evolved Its Branch Network With Prisma SD-WAN (Sponsored)

On today's Heavy Networking, sponsored by Palo Alto Networks, we hear from Salesforce about the evolution of its branch network to SD-WAN. Salesforce was able to trade MPLS for Internet broadband, get more bandwidth for less money, employ application-based steering and policy enforcement, and more. Our guests are Georgi Stoev, Sr. Network Architect at Salesforce; and Kumar Ramachandran, Senior Vice President at Palo Alto Networks.

The post Heavy Networking 583: How Salesforce Evolved Its Branch Network With Prisma SD-WAN (Sponsored) appeared first on Packet Pushers.

Don’t OutSMART Your Goals

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I read a piece on LifeHacker yesterday that made me shake my head a bit. I’m sure the title SMART Goals Are Overrated was designed to get people to click on it, so from that perspective it succeeded. Wading into the discourse there was an outline of how SMART goals were originally designed for managers to give tasks to employees and how SMART doesn’t fit every goal you might want to set, especially personal aspirational ones. Since I have a lot of experience with using SMART goals both for myself and for others I wanted to give some perspective on why SMART may not be the best way to go for everything but you’re a fool if you don’t at least use it as a measuring tool.

SMRT, Eh?

As a recap, SMART is an acronym for the five key things you need to apply to your goal:

  • S – Specific (what are you going to do)
  • M – Measurable (how will you know when you’ve succeeded)
  • A – Attainable or Assignable (can you or the person you’ve selected do this thing)
  • R – Relevant or Relatable (is this goal appropriate for me or for the person doing it)
  • T Continue reading

Observe & Troubleshoot Your Kubernetes Environments with Dynamic Service Graph

Kubernetes workloads are highly dynamic, ephemeral, and are deployed on a distributed and agile infrastructure. Application developers, DevOps teams, and site reliability engineers (SREs) often require better visibility of their different microservices, what their dependencies are, how they are interconnected, and which other clients and applications access them. This makes Kubernetes observability challenges unique. While Kubernetes helps to meet the needs of deploying and managing distributed applications, its observability challenges require a Kubernetes-native approach.

Traditional monitoring and observability solutions create data silos by collecting data at different levels (e.g. infrastructure, cluster, and application levels), or from a large number of ephemeral objects that generate data across a distributed environment. Traditional monitoring and observability solutions then stitch this data together to provide a near real-time snapshot view. This approach is not scalable given the high volume of granular data generated at each level, as well as Kubernetes’ distributed nature. It also starts to become expensive and budget unfriendly to run traditional monitoring solutions, as they require higher resource consumption (high-performance memory, more compute, and higher bandwidth).

In contrast, a Kubernetes-native observability solution can visualize all information with all relationship context intact and provide a high-fidelity view of the environment. This Continue reading