SIRAYA Blog

Check out the latest market trends and technical blog.

Map showing distinct CDN edge nodes in Jakarta, Manila, Bangkok, and Ho Chi Minh City rather than a single Singapore hub
Streaming

CDN for OTT Live Streaming in Southeast Asia: What Works

The most common mistake in choosing CDN infrastructure for OTT and live streaming in Southeast Asia is trusting a provider’s “APAC coverage” claim at face value, when that coverage is frequently a single Singapore point of presence doing the work for an entire region of distinct national networks. Indonesia, Thailand,

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Diagram of a WAAP platform showing WAF, DDoS mitigation, API protection, and bot management as four bundled modules
Security

WAF vs WAAP: Which Layer Your Web App Actually Needs

A modern web application with any meaningful API surface needs WAAP-class coverage, not because a standalone WAF is obsolete, but because APIs don’t follow the request patterns a WAF was ever built to model, and that’s not a tuning problem you can fix with better rules. What’s worth being honest

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Diagram of a converged live and VOD streaming pipeline with backup ingest, multi-CDN failover, and redundant DRM license servers
Streaming

OTT Streaming Platform Infrastructure: Surviving Live Events

OTT platforms rarely fail under steady VOD traffic. They fail during a live event or a sudden traffic spike, because that’s the one moment where three separate failure points, ingest and encoder redundancy, CDN capacity and failover, and DRM license server availability, all have to hold simultaneously under load the

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Diagram of a release pipeline showing a pinned model version passing through a statistical evaluation gate before a canary rollout
AI

LLM Version Pinning: A Release Process With Real Gates

Pin every production workload to a dated model snapshot, never a floating alias, and gate every version change behind an evaluation that measures consistency across repeated runs, not just whether the model can pass your test set once. That’s the short version. The longer reason it matters is that a

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Diagram showing a model routing layer with a monitored lifecycle status field and a pre-configured fallback model path
AI

Foundation Model Lifecycle Management: A Production Framework

Most teams manage foundation model lifecycle by reading a deprecation notice and migrating before the retirement date. That process fails in production because deprecation notices are not the only way a model changes under you, and they’re not even the most common one. Aliases get silently repointed to new checkpoints.

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