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MicrocosmWorks디지털 코스모스 혁신 및 설계
소개연락처
MicrocosmWorks디지털 코스모스를 혁신하고 설계합니다

중요한 IT 솔루션을 제공합니다. 기술, 보안에 열정적이며 신뢰할 수 있는 혁신적인 IT 인프라를 통해 비즈니스 성장을 돕습니다.

[email protected]
+91 7011868196
New Delhi, India

솔루션

구축AI 제품 엔지니어링SaaS 제품 엔지니어링맞춤형 소프트웨어 개발
현대화소프트웨어 현대화AI 현대화클라우드 앱 현대화
확장백엔드 및 분산 시스템클라우드 성능 엔지니어링신뢰성 및 성능 엔지니어링AI 인프라
확대제품 엔지니어링 팀
모든 솔루션AI 에이전트 개발AI 비디오 플랫폼웰니스 및 피트니스 앱

서비스

디지털 컨설팅클라우드 인프라SaaS 개발AI 개발비디오 기술
ERP 개발Zoho 맞춤화Odoo 개발Salesforce 통합맞춤형 CRM 개발
QuickBooks 통합IoT 솔루션블록체인 개발
사이버 보안 컨설팅IT 지원 - L3

AI 성장 허브

AI 허브스타트업 혁신기업 가속기

자원

통찰력산업 가이드사용 사례 청사진아키텍처 패턴사례 연구

회사

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© 2026 MicrocosmWorks. 모든 권리 보유.

개인정보 처리방침서비스 약관
Performance & Growth

Scale With Confidence
솔루션

When your product outgrows its architecture, adding servers isn't the answer. We re-engineer backends for concurrency, implement intelligent caching, optimize database performance, and build auto-scaling infrastructure.

프로젝트 시작하기사례 연구 보기
Scale
4 솔루션
Active
Backend & Distributed Systems
AI Infrastructure
Cloud Performance Engineering

Scale 솔루션

Performance engineering for high-growth products. Backend optimization, infrastructure scaling, reliability engineering, and GPU workload management.

Distributed
High Avail.
Data Layer
Petabyte
Latency
<50ms P99

Proven Results

Case studies from our scale solutions

Enterprise Video Encoding & Multi-Channel Distribution Platform
Video Encoding

Enterprise Video Encoding & Multi-Channel Distribution Platform

A media company needed a comprehensive platform to manage their video content lifecycle from upload to encoding to multi-channel distribution, supporting different output specifications for each distribution partner.

NestJSTypeScriptMongoDB

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시작할 준비가 되셨나요?

적절한 기술과 팀으로 목표 달성을 어떻게 도울 수 있는지 논의해 봅시다.

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Reliability & Performance Engineering
Architecture
Event-Driven

Backend & Distributed Systems

Architect and build backend systems that handle millions of requests. Event-driven architectures, message queues, distributed databases, and microservices designed for horizontal scaling.

자세히 보기
GPU Clusters
200+ Jobs
Model Serving
Auto-Scale
Monitoring
Real-Time
Cost Savings
~70%

AI Infrastructure

Production-grade infrastructure for AI workloads. Model serving, GPU optimization, training pipelines, and inference scaling — built for reliability at high throughput.

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P95 Latency
<50ms
Throughput
3x Faster
Cost Reduced
40%
Infrastructure
Auto-Scale

Cloud Performance Engineering

Optimize cloud infrastructure for performance and cost efficiency. Right-sizing, auto-scaling, caching layers, CDN configuration, and observability — reducing your cloud bill while improving response times.

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Uptime SLA
99.95%
MTTR
<5 Min
SLO Design
Error Budgets
Observability
Full Stack

Reliability & Performance Engineering

Build systems that stay up when it matters most. SRE practices, incident management, chaos engineering, and performance optimization for applications that can't afford downtime.

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AWS Media Services for FAST Channel Streaming over HLS
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AWS Media Services for FAST Channel Streaming over HLS

A media company needed to launch Free Ad-Supported Streaming Television (FAST) channels — 24/7 linear streams of curated video content delivered over HLS to smart TVs, set-top boxes, and web/mobile players, monetized through programmatic ad insertion.

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AWS Media Services for FAST Channel Streaming over SRT
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AWS Media Services for FAST Channel Streaming over SRT

A media company needed to establish reliable, low-latency contribution feeds for their FAST channels using the Secure Reliable Transport (SRT) protocol — enabling high-quality content ingest from remote studios, cloud playout systems, and syndication partners over unpredictable internet connections.

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SCTE-35 Ad Marker Signaling & Media Trailer Insertion Pipeline

A streaming media company needed a robust, automated pipeline for injecting SCTE-35 ad markers into live and VOD streams, along with the ability to insert promotional trailers (pre-roll, mid-roll, and post-roll) at precisely timed positions — enabling monetization across FAST channels, live events, and on-demand content libraries.

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The surveillance platform needed a reliable, scalable system to manage hundreds of camera streams with automatic lifecycle management, ensuring streams are available on demand without wasting resources.

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Auto-Scaling RTSP Streaming Architecture with Dual Orchestrators & Zero Packet Drop
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Auto-Scaling RTSP Streaming Architecture with Dual Orchestrators & Zero Packet Drop

A surveillance platform needed to scale its video streaming infrastructure dynamically — handling anywhere from 10 to 200+ IP cameras with hundreds of concurrent viewers and AI processing workers — while guaranteeing zero packet loss during scaling operations and maintaining stable stream URLs that never change.

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An end-to-end streaming infrastructure built for Maponga Studios — spanning a React Web App for asset and channel management, a sister Encoder App with SSO, a NestJS backend, and two AWS Lambda functions orchestrating MediaLive, MediaPackage, MediaTailor, and MediaConvert for one-click FAST channel deployment with SCTE-35 ad insertion.

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