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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
In this post, we introduce mathematical optimization, explain how it fits within the broader AI landscape, and showcase real-world success stories where the Innovation Center has partnered with customers to deliver concrete results.
Building scalable data systems often feels like navigating an endless sea of shifting paradigms. Engineers and architects are constantly forced to choose between centralizing data or distributing it, processing in batches or streaming in real time, and enforcing strict compliance or enabling rapid self-service analytics. Without a structured taxonomy, engineering teams risk building fragmented pipelines that accumulate technical debt. The following comprehensive blueprint serves as a definitive
GitHub Enterprise Cloud with Enterprise Managed Users (EMUs) can now enforce GitHub’s native IP allow list configuration across user namespaces. This feature is now generally available. EMUs allow the enterprise… The post IP allow list coverage for EMU namespaces in general availability appeared first on The GitHub Blog.
Gogs has patched a critical security zero-day flaw that can allow attackers to compromise Internet-facing instances and access any repositories (including private ones). [...]
Enabling security tooling is the starting point. Making it operational—where findings drive decisions, response times are measurable, and your security posture improves week over week—is where most organizations struggle. This blog post provides a phased maturity roadmap for organizations that have already enabled AWS Security Hub and Amazon GuardDuty. These two services form the foundation […]
This blog has previously discussed FHE for ML inference in the post Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing, but this post goes a little further. That previous post showed how to implement FHE-based inference 'from scratch' by hand-crafting a linear-regression algorithm using a low-level library called SEAL. Instead, this post shows a much more flexible and higher-level approach based on concrete-ml, a high-level library built specifi
The latest attacks, which hit 37 PyPI wheels and 19 code packages, show a continued evolution of the persistent software supply chain threat.
In this post, we cover the structure of Amazon Quick ARNs and provide a practical mental model for working with them. By the end, you can look at an ARN and immediately understand what it means for your migration strategy, diagnose permission issues faster, and design multi-tenant architectures with confidence.
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