IPv6 Buzz 087: How Merit Network Used Carrots Over Sticks To Drive IPv6 Adoption
Merit Network is a non-profit ISP that provides network and security services for universities, K-12 schools, libraries, and other educational communities in Michigan. On today's IPv6 Buzz we speak with Lola Killey, Infrastructure and Research Support Analyst, about how Merit encouraged IPv6 adoption and what other institutions can learn from that effort.
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IPv6 Buzz 087: How Merit Network Used Carrots Over Sticks To Drive IPv6 Adoption
Merit Network is a non-profit ISP that provides network and security services for universities, K-12 schools, libraries, and other educational communities in Michigan. On today's IPv6 Buzz we speak with Lola Killey, Infrastructure and Research Support Analyst, about how Merit encouraged IPv6 adoption and what other institutions can learn from that effort.Gartner: Top Predictions for IT Organizations and Users for 2022 and Beyond
Will bosses be eliminated? Will Africa become the new India? Will enterprises stop trying to collect so much consumer information? These are among the many topics addressed by Gartner's most recent Top Predictions list.InfluxDB Cloud
InfluxDB Cloud is a cloud hosted version of InfluxDB. The free tier makes it easy to try out the service and has enough capability to satisfy simple use cases. In this article we will explore how metrics based on sFlow streaming telemetry can be pushed into InfluxDB Cloud.
The diagram shows the elements of the solution. Agents in host and network devices are configured to stream sFlow telemetry to an sFlow-RT real-time analytics engine instance. The Telegraf Agent queries sFlow-RT's REST API for metrics and pushes them to InfluxDB Cloud.
Create an InfluxDB Cloud account. Click the Data tab. Click on the Telegraf option and the InfluxDB Output Plugin button to get the URL to post data. Click the API Tokens option and generate a token.
docker run -p 8008:8008 -p 6343:6343/udp --name sflow-rt -d sflow/prometheus
Use Docker to run the pre-built sflow/prometheus image which packages sFlow-RT with the sflow-rt/prometheus application. Configure sFlow agents to stream data to this instance.
[agent]
interval = "15s"
round_interval = true
metric_batch_size = 5000
metric_buffer_limit = 10000
collection_jitter = "0s"
flush_interval = "10s"
flush_jitter = "0s"
precision = "1s"
hostname = ""
omit_hostname = true
[[outputs.influxdb_v2]]
urls = ["INFLUXDB_CLOUD_URL"]
token = Continue reading
Reimagining ‘Show IP Interface Brief’
Welcome back! In my first post here on Packet Pushers (Applying A Software Design Pattern To Network Automation – Packet Pushers) we explored the Model View Controller (MVC) software design pattern and how it can be applied to network automation. This post will go a little deeper into how this is achieved and the mix […]
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Fine tuning a T5 text-classification model on colab
One of the most interesting recent developments in natural language processing is the T5 family of language models. These are transformer based sequence-to-sequence models trained on multiple different tasks. The main insight is that different tasks provide a broader context for tokens and help the model statistically approximate the natural language context of words.
Tasks can be specified by providing an input context, often with a “command” prefix and then predicting an output sequence. This google AI blog article contains an excellent description of how multiple tasks are specified.
Naturally, these models are attractive to anyone working on NLP. The drawback, however, is that they are large and require very significant computational resources, beyond the resources of most developers desktop machines. Fortunately, google makes their Colaboratory platform free to use (with some resource limitations). It is the ideal platform to experiment with this family of models in order to see how their perform on a specific application.
As I decided to do so, for a text-classification problem, I had to pierce together information from a few different sources and try a few different approaches. I decided to put together a mini tutorial of how to fine-tune a T5 model Continue reading
Fine tuning a T5 text-classification model on colab
One of the most interesting recent developments in natural language processing is the T5 family of language models. These are transformer based sequence-to-sequence models trained on multiple different tasks. The main insight is that different tasks provide a broader context for tokens and help the model statistically approximate the natural language context of words.
Tasks can be specified by providing an input context, often with a “command” prefix and then predicting an output sequence. This google AI blog article contains an excellent description of how multiple tasks are specified.
Naturally, these models are attractive to anyone working on NLP. The drawback, however, is that they are large and require very significant computational resources, beyond the resources of most developers desktop machines. Fortunately, google makes their Colaboratory platform free to use (with some resource limitations). It is the ideal platform to experiment with this family of models in order to see how their perform on a specific application.
As I decided to do so, for a text-classification problem, I had to pierce together information from a few different sources and try a few different approaches. I decided to put together a mini tutorial of how to fine-tune a T5 model Continue reading
Circular Dependencies Considered Harmful
A while ago my friend Nicola Modena sent me another intriguing curveball:
Imagine a CTO who has invested millions in a super-secure data center and wants to consolidate all compute workloads. If you were asked to run a BGP Route Reflector as a VM in that environment, and would like to bring OSPF or ISIS to that box to enable BGP ORR, would you use a GRE tunnel to avoid a dedicated VLAN or boring other hosts with routing protocol hello messages?
While there might be good reasons for doing that, my first knee-jerk reaction was:
Circular Dependencies Considered Harmful
A while ago, my friend Nicola Modena sent me another intriguing curveball:
Imagine a CTO who has invested millions in a super-secure data center and wants to consolidate all compute workloads. If you were asked to run a BGP Route Reflector as a VM in that environment, and would like to bring OSPF or ISIS to that box to enable BGP ORR, would you use a GRE tunnel to avoid a dedicated VLAN or boring other hosts with routing protocol hello messages?
While there might be good reasons for doing that, my first knee-jerk reaction was:
Fifty Years On
What's likely to happen in computer networking in the next 50 years? Lets polish up the crystal ball and see what awaits!Hedge 105: Johan Gustawsson and Changing Provider Architectures
Many service providers have the feeling that they “didn’t do anything wrong, but somehow we still lost.” How are providers reacting to the massive changes in the networking field, and how are they trying to regain their footing so they can move into the coming decades better positioned to compete? Join Johan Gustawsson, Tom Ammon, and Russ White as we discuss the impact of merchant silicon and changing applications on the architecture of service providers.
Traffic Sequence: Which Product Runs First?
“Which came first, the chicken or the egg?” It’s one of life's great questions. There are hundreds of articles published which conclude with eggs predating chickens by millions of years. Unfortunately, Cloudflare users don't have New Scientist on hand to answer similar questions.
Which runs first, Firewall Rules or Workers? Page Rules or Transform Rules? Whilst not as philosophically challenging, the answers to these questions are key to setting up your Cloudflare zone correctly. Answering them has become increasingly difficult as more and more functionality is added, thanks to our incredible rate of shipping products. What was once a relatively easy to understand traffic flow exploded in complexity with the introduction of products such as Workers, Load Balancing Rules and Transform Rules. And this big bang of product announcements is only accelerating each year.
To begin addressing this problem, we developed Traffic Sequence. Traffic Sequence is a simple dashboard illustration which shows a default, high-level overview of how Cloudflare products interact. Think of this as your atlas, rather than your black cab driver’s “Knowledge”. This helps you understand that London is in the south east of the UK, but not that it's quicker to walk than use Continue reading
Automating Data Center VXLAN/EVPN Using CI/CD: Gluware LiveStream Video [6/8]
Chris DiPaola, Senior Systems Engineer – Network at Acuity, chats with Ethan Banks of the Packet Pushers about Acuity’s EVPN/VXLAN network. Chris & his team used the Gluware API to automate their EVPN deployments, all while tied into their company’s CI/CD pipeline. If Gluware might be a fit for your network automation needs, visit here. […]
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