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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
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By targeting large numbers of users, attackers increased their chances of success.
A dashboard can look completely correct, while the reporting it shows is wrong, and that makes it one of the most difficult failures to detect in analytics engineering because nothing visibly breaks. The pipeline runs on time, the warehouse table loads without errors, the scheduled checks pass, and the dashboard opens as expected, but the metric on the screen can still be wrong enough to trigger a long investigation. In many cases, the data itself is not the problem, because the issue sits insid
Most teams running inference at scale do not fail because they cannot find a “good” model. They fail because they ship a routing policy that looks fine in a playground, but drifts the moment it sees real prompts, real latency tails, and real per-token cost. The routing policy breaks on the prompts you never tested and your users find out before you do. Now you can use Model Evaluations, available in Public Preview on the DigitalOcean Inference Engine, to evaluate models available on the platform
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Musk can't be trusted to protect X user privacy, public commenters warn FTC.
GitHub’s expanded billing APIs to programmatically manage budgets, track usage, and access cost center data are now generally available. Manage budgets via APIs You can now manage the full lifecycle… The post Budget and usage management APIs now generally available appeared first on The GitHub Blog.
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Reconstructing distributed denial of service (DDoS) attack traffic used to mean combining data from multiple sources after the fact. AWS Shield Advanced attack flow logs change that—they capture traffic metadata during attacks so you can pinpoint sources, verify mitigations, and feed your existing analysis pipelines. Shield publishes logs to Amazon Simple Storage Service (Amazon S3), […]
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