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Time-series data helps us understand not only what happened, but when it happened and what else was happening at the same time.
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An account of my journey to self-hosting this blog, running Hugo, and Caddy on a Raspberry Pi
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in this post we build upon the local AI chatbot from part 1, improving the responses by retrieving data to make it more knowledgeable.
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Imagine if we accidentally forming a new type of computer brain, which then wreaked havoc on an unsuspecting world.
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Did you know that you can run large language models (LLM) locally on your PC, free from the walled gardens of Big Tech?
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In case you missed the memo, Docker has changed Compose…
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After decades of next year being Year of Linux on the Desktop there is now a significant change is happening, as factors align to make switching from Windows to Linux easier and more beneficial.
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How to find and follow me on Mastodon, a great open decentralised alternative to commercial social media platforms.
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Microsoft released a new feature for Windows 11 called Recall.
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Public Service Announcement: Visual Studio Code can kill remote machines… Read on to find out how, and what to avoid.
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People fail to read documents, even when they know they should, and would benefit from doing so.
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The 2023 Cambridge Dictionary Word of the Year was hallucinate, chosen because of a new meaning (repurposing) in the field of Artificial Intelligence (AI).
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In this second post, we build a working NiFi demo, with a couple of simplified use cases, allowing us to see it in action and learn by experimenting
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Apache NiFi facilitates the movement of data between systems.
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When I had a need to visualise telemetry data from a home project, the ELK stack was my go-to solution.
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Beyond software architecture diagrams: using PlantUML’s diagrams-as-code approach for Gantt charts, mind maps of tasks, and free-form concept diagrams — all version-controlled and easy to update
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I hadn’t heard of C4 Model before so I decided to check it out with an example architecture.
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In IT Architecture, what is coupling, why is it important and what techniques/patterns can we use to optimise it?
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Wouldn’t it be ironic if remediating security audit items made your organisation less secure…?
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Dive into Diagrams-as-Code, the generation of visualisations from code source files that describe how to build the diagrams, with practical examples using PlantUML
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This third post in series on flows investigates flow metadata, how it adds value to flow analysis, and how to record and transport it
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Is cybersecurity doomed?
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We build a home network lab to better understand IP fragmentation behaviour
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Part 2 of the series on network traffic flows focuses on the IP layer and considerations such as IPv6 flow labels, why IP fragmentation complicates flow identification, the impact of network-layer encryption, and a brief digression into non-IP flows
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Defining what a network flow is becomes a difficult problem when you add in considerations such as directionality, protocols without port numbers and flow expiration
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A post for network experimenters who want to export flow records from an Ubuntu Linux host bridging multiple network segments.
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This blog post is for network experimenters who want to export flow records from an Ubuntu Linux host bridging multiple network segments.
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How to collect (receive) NetFlow or IPFIX flow records using the nfdump package
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This blog post is for network experimenters who want to export flow records from a small network, such as a home network using an OpenWRT router.
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One of my 2018 learning goals is to become more familiar with containers.
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Part 2 - Install # In part 2 of this blog post, we cover off how to install the necessary components to build virtual SDN labs with Vagrant.
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Part 1 - Introduction # I’ve been experimenting with Vagrant to automate the creation of virtual Software-Defined Networking (SDN) labs.
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Instructions on how to build a home SDN lab that leverages a common consumer-grade TP-Link home router repurposed as an OpenFlow switch, including Wi-Fi