Media and entertainment on AWS
Media platforms ship under conditions every other industry calls worst-case: live-event traffic, petabyte archives, AI tagging that has to keep pace with editorial. We build petabyte-scale archive pipelines on Bedrock and Rekognition, run real-time payment platforms at 500 TPS, and modernize transcoding stacks that fail silently. AWS Premier Partner with Migration, GenAI, and AI Services competencies.
Real engagements, real numbers. Where Armakuni has already shipped in this vertical.
Manual annotation, transcoding failing silently, petabyte storage split across vendors, live-event scale with no rehearsal. We have shipped through all four.
Every clip tagged by hand against schema. Content that cannot be annotated cannot be sold. The library is constrained by editorial throughput, not market demand.
Database-polled jobs with no event-driven architecture and no signal when they fail. Operations teams find out from contributors and buyers.
Archive across on-prem TrueNAS and Azure Blob with no unified metadata layer. Cold-tier decisions made at ingest and rarely revisited. Storage cost decoupled from access pattern.
Telethons, sports finals, breaking-news traffic. The platform either holds or it does not. Engineering discipline is the only buffer.
Not every offering applies in this vertical. Here are the ones that fit, and the angle we take with each.
Media GenAI is mostly content intelligence. Bedrock for clip extraction, Rekognition for scene detection, Nova for tagging, Titan for taxonomy validation. We build agentic search that turns plain-language buyer queries into multi-criteria searches across the whole archive, no syntax required.
M&E platforms accumulate PHP CodeIgniter, WordPress, and bespoke transcoding stacks. We rebuild on ECS and Aurora, align to SOC 2 Type II from the architecture stage, and design for AWS Marketplace listing as a first-class concern.
Petabyte archive consolidation onto S3 Intelligent-Tiering. Vector embeddings in OpenSearch for semantic search. AWS DataSync, Snowball, and CLI tooling matched to the actual data volumes. So storage cost tracks access pattern, not the decision someone made at ingest.
High-volume entertainment contact centres absorb consumer demand spikes. Connect plus Lambda integrations to ticketing and loyalty. Real-time data lookups, agent-receives-context handoffs, and AI-augmented self-service for refund and showtime queries.
Live-event windows are when the platform earns its budget. 24x7 ownership through telethon, premiere, and final, with WAF, observability, and on-call discipline mapped to the broadcast schedule.
Six engagements: shipped, in flight, or scopable inside an AWS-funded discovery.
TrueNAS and Azure Blob to S3 Intelligent-Tiering. AWS MAP Lite funding secured in 8 days. Manual lifecycle management eliminated.
Rekognition scene detection plus Nova Pro summarization plus Titan IPTC taxonomy validation. Human-in-the-loop review interface.
10,000 minutes of footage processed through Bedrock Nova for species, behavior, habitat, and technical metadata. Semantic search replacing keyword.
Real-time donation processing on AWS Lambda and DynamoDB. 500 TPS sustained through televised event windows.
Stabilizing a failing Connect deployment one week before go-live. Call routing rebuilt, Lambda integrations rewritten, ServiceNow context delivered before agent pickup.
Buyer queries like "slow-motion lion stalking prey at dusk" parsed for species, behavior, and technical parameters. Semantic plus structured filter results.
Named, public references in this vertical. Open the case study for engagement scope, AWS funding, and outcome.
Most engagements open with a fixed-fee, AWS-funded discovery. These three workshops are where it usually starts.
Procurement-grade controls available on request. We run engagements under these regimes routinely.
Your first call is with a solution architect, not a sales exec. The first engagement is usually an AWS-funded assessment.