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Tag: Security

  • Entities and Attributes

    Entities and Attributes

    Quadrant models are useful organizing tools. Let’s use one to look at the problem of managing the attributes of entities in systems visibility. I’m not expecting to solve the problem, just usefully describe the playing field. Horizontal axis:* persistent entities with changing attributes* ephemeral entities with static attributes Vertical axis:*…

  • Moving the transformation point of data

    Moving the transformation point of data

    There’s a pattern that has become common knowledge, perhaps on its way to received wisdom. Endpoints pass their raw data off to storage as quickly as possible. Analysts then do their work against that storage using map reduced processors, automated and/or ad hoc. This pattern has many benefits and is…

  • DURSLEy and CAPS

    DURSLEy and CAPS

    Monitoring and metrics! Theoretically any system that a human cares about could be monitored with these three patterns: I’m hardly the first to notice there’s overlap… here’s a good starting point to read from. I haven’t seen these compressed to a single metric set yet, probably from not looking hard enough.…

  • Phases of Data Modeling

    Phases of Data Modeling

    Say that you want to use some data to answer a question. You’ve got a firewall, it’s emitting logs, and you make a dashboard in your logging tool to show its status. Maybe even alert when something bad happens. You’ve worked with this firewall tech for a few years and…

  • Security Logging

    Security Logging

    Security logging is interesting. Detecting security and compliance issues means uncovering nasty little leakages of unintentional or surprising information all over. When you add a powerful security tool to the environment, it starts to shine light into dark corners. No one expects that temporary file of sensitive data or the…

  • Engines and fuel – who writes quality content?

    Engines and fuel – who writes quality content?

    In software, everyone wants to build engines, and no one wants to make fuel. A platform for executing content has high potential leverage and lots of vendors make those. The expected community of fuel makers rarely materializes. Content for software engines breaks down along two axes: simplicity versus complexity and…

  • Tools and the Analyst

    Tools and the Analyst

    Let’s say I’m responsible for a complex system. I might have a lot of titles, but for a big part of my job I’m an analyst of that system. I need tools to help me see into it and change its behavior. As an analyst with a tool, I have…

  • Dev and Test with Customer Data Samples

    Dev and Test with Customer Data Samples

    The short answer is don’t do it. Accepting customer data samples will only lead to sorrow. REDUCE THE DATA At first, you may look at a big data problem as a Volume or Velocity issue, but those are scaling issues that are easily dealt with later. Variety is the hardest…

  • GDPR is great for Facebook and Google

    GDPR is great for Facebook and Google

    GDPR is going to be great for Facebook and Google. “Over time, all data approaches deleted, or public.” — Norton’s Law. See Haunted By Data by Maciej Cegłowski and The State of Artificial Intelligence by Andrew Y Ng for more background and viewpoints. Picture two types of data store, public…

  • Where’s the Product in AI?

    Where’s the Product in AI?

    AI & ML products are harder than they look AI tech is obviously overhyped, and conflating with ideas from science fiction and religion. I prefer using terms like Machine Intelligence and Cognitive Computing, just to avoid the noise. But if we strip away the most unrealistic stuff, there’s some interesting…