Category: Cloud

It’s so refreshing to find someone who understands the impact of latency on application performance, and develops a methodology that considers latency when migrating a workload into a public cloud: Adding latency: one step, two step, oops by Lawrence Jones.

Remember the Cloud Models, Layers and Responsibilities video by Matthias Luft? He continued his introduction of cloud services with Cloud Services Hierarchy, explained the differences between infrastructure, platform, function and software as a service, and concluded with a there’s no free lunch message.

If you find smart NICs interesting, you’ll like the latest blog post by James Hamilton explaining how AWS emulated Xen environment on Nitro hardware to keep old VM instances running on new hardware.

I don’t think I’ve ever met someone saying “I wish my web application would run slower.” Everyone wants their stuff to run faster, but most environments are not willing to pay the cost (rearchitecting the application). Welcome to the wonderful world of PowerPoint “solutions”.

The obvious answer: The Cloud. Let’s move our web servers closer to the clients – deploy them in various cloud regions around the world. Mission accomplished.

Not really; the laws of physics (latency in particular) will kill your wonderful idea. I wrote about the underlying problems years ago, wrote another blog post focused on the misconceptions of cloudbursting, but I’m still getting the questions along the same lines. Time for another blog post, this time with even more diagrams.

If you’re a regular reader of this blog, you’ve probably realized there’s still need for networking in public clouds, and mastering it requires slightly different set of skills. What could you as a networking engineer to get fluent in this different world? I collected a few hints in the last video in Introduction to Cloud Computing webinar.

Most of the public cloud training seems focused on developers. No surprise there, they are the usual beachhead public cloud services need to get into large organizations. Unfortunately, once the production applications start getting deployed into public cloud infrastructure, someone has to take over operations, and that’s where the fun starts.

For whatever reason, there aren’t that many resources helping the infrastructure operations teams understand how to deal with this weird new world, at least according to the feedback Jawed left on Azure Networking webinar:

Even though you need plenty of traditional networking constructs to deploy a complex application stack in a public cloud (packet filters, firewalls, load balancers, VPN, BGP…), once you start digging deep into the bowels of public cloud virtual networking, you’ll find out it’s significantly different from the traditional Ethernet+IP implementations common in enterprise data centers.

For an overview of the differences watch the Public Cloud Networking Is Different video (part of Introduction to Cloud Computing webinar), for more details start with AWS Networking 101 and Azure Networking 101 blog posts, and continue with corresponding cloud networking webinars.

When I started developing AWS- and Azure Networking webinars, I wondered whether they would make sense – after all, you can easily find tons of training offerings focused on public cloud services.

However, it looks like most of those materials focus on developers (no wonder – they are the most significant audience), with little thought being given to the needs of network engineers… at least according to the feedback left by one of ipSpace.net subscribers.

Whenever someone starts mansplaining that we need no networking when we move the workloads into a public cloud, please walk away – he has just proved how clueless he is.

He might be a tiny bit correct when talking about software-as-a-service (after all, it’s just someone else’s web site), but when it comes to complex infrastructure virtual networks, there’s plenty of networking involved, from packet filters and subnets to NAT, load balancers, firewalls, BGP and IPsec.

Azure and AWS have decent documentation (I always found it relatively easy to figure out what they’re doing), but what they implemented is sometimes so far away from what we’re used to that it’s hard to bridge the gap. Here’s how Olle Wilhelmsson solved that challenge:

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