Elastic Real-Time Serverless Architecture (ERTSA)

Modern digital platforms face an increasingly difficult challenge: how to deliver compute‑intensive, real‑time experiences at scale without maintaining massive, always‑on infrastructure.

Whether it’s live streaming, time‑bounded processing workloads, bursty ETL, or dynamic event‑driven systems, the industry is shifting toward architectures that can react instantly, run efficiently, and disappear when idle.

At Naeva Tec, we’ve spent years refining a serverless-first pattern that meets these demands. It’s fast, elegant, extremely cost‑efficient, and surprisingly flexible — but also complex enough that only teams with deep cloud and systems expertise can implement it reliably.

A Smarter Compute Model for Real‑Time, Variable Workloads

The architecture is based on a simple but powerful idea:

Only run servers when you truly need them — and make them ready fast.

By combining AWS Lambda, EC2 Warm Pools, and precise orchestration, we spin up ephemeral compute nodes on demand, each dedicated to a single heavy task. This enables massive bursts of parallel workloads—running for 30 minutes to 5 hours—before everything shuts down automatically. No idle cost. No fixed clusters. No waste.

History

This architecture wasn’t designed in a vacuum—it evolved from a real production scenario where a media‑centric platform needed to process and deliver large volumes of on‑demand and real‑time content. The original system relied on large, multi‑purpose servers that handled both application logic and processing workloads, which made the environment elastic but still expensive and slow to scale.

By re‑architecting the platform so that the entire logic layer ran fully serverless, orchestration no longer depended on always‑on infrastructure. Each processing task was moved into its own lightweight, ephemeral compute node, allowing jobs to start quickly and run independently. This removed the need for big idle servers, shortened warm‑up cycles, and eliminated the requirement for a large “safety buffer” of pre‑running instances.

The result is a proven, efficient model capable of supporting sharp bursts of heavy workloads with predictable performance and minimal operational cost.

Why This Architecture Works So Well?

• We evaluate whether your workloads are a good fit.
• We design a tailored variant of the architecture.
• We orchestrate the migration with minimal disruption.
• We implement guardrails so your team never worries about spiraling costs or failures.

If you’re exploring ways to modernize your infrastructure, reduce cost, or support unpredictable workloads, we’d love to discuss how this architecture could be adapted to your specific context.