Streaming-Scale Observability for the AI Era of Media.
Media and entertainment organizations run some of the most demanding real-time infrastructure in any industry: global streaming platforms handling millions of concurrent viewers, CDN networks serving content across hundreds of regions, gaming backends absorbing traffic spikes during launches, and now AI systems generating, personalizing, and moderating content at scale.
Apica gives M&E engineering teams the telemetry pipeline control, high-cardinality metrics infrastructure, and agentic-ready observability to keep audiences engaged and infrastructure costs under control.
Real-Time Intelligence for Every Moment That Matters to Your Audience.
Every Frame. Every Stream. Every Region. Always On.
- Real-time telemetry pipeline monitors streaming quality, playback performance, buffering events, and CDN response times continuously across all regions.
- AI-driven anomaly detection surfaces service degradation before it affects viewers, reducing subscriber churn from performance incidents.
- Apica Vanguard synthetically monitors streaming and playback workflows 24/7 from global locations, catching failures before they reach audiences.
- Never Block, Never Drop architecture with InstaStore™ infinite buffering absorbs traffic spikes during live events, major releases, and viral moments without data loss.
Petabyte-Scale Audience Intelligence. Instant Query. No Limits.
- InstaStore™’s single-tier architecture ingests and fully indexes petabyte-scale audience telemetry with consistent sub-second query performance regardless of data age.
- Apica Forge delivers real-time high-cardinality metrics at streaming scale: billions of unique metric streams from viewer sessions, devices, and regions without performance penalties or cost explosions.
- Unified metrics from APIs, CDNs, media encoders, and client applications feed live dashboards that give content, product, and engineering teams a shared view of audience experience.
- Replay any historical telemetry to any target on demand, supporting post-event analysis, capacity planning, and content performance reviews without separate data warehousing projects.
GDPR-Ready. Privacy by Design. Compliance Without Engineering Overhead.
- Automated PII detection and real-time masking at the pipeline layer prevents viewer data from reaching downstream tools, logs, or storage in non-compliant form.
- GDPR-aligned data retention and geographic routing controls ensure viewer data stays within required regional boundaries.
- Infinite, fully indexed data retention supports content licensing audit requirements, regulatory examinations, and legal hold needs without separate archival infrastructure.
- SOC 2 Type II and ISO 27001 certified operations provide enterprise-grade security assurance for M&E platforms handling sensitive viewer and rights data.
Billions of Metric Streams. No Performance Penalty. No Cost Explosion.
Streaming platforms are among the most cardinality-intensive environments in any industry: Every viewer session, every device, every CDN node, and every content asset generates unique metric streams simultaneously. Traditional time-series databases buckle under this load or impose punishing cost structures. Apica Forge was built for exactly this environment: Real-time high-cardinality metrics with SLO insights, at the scale global streaming demands.
- Apica Forge stores billions of unique metric streams from viewer sessions, devices, regions, and content assets without performance penalties or per-stream cost explosions.
- Real-time SLO insights give engineering teams immediate visibility into streaming quality thresholds, enabling proactive response before SLA breaches affect subscribers.
- A time-series database underpins Forge with unparalleled reliability and speed, addressing the core reliability needs of platforms where viewer experience is the product.
- Seamlessly integrates with Apica Observe for full-stack correlation: connect high-cardinality streaming metrics to logs and traces for complete root cause analysis during incidents.
Built for the AI Systems Powering Modern Media
AI is no longer emerging in media and entertainment, it’s running in production. Recommendation engines, AI-generated content tools, automated transcription and captioning, real-time content moderation, and personalization systems are all generating new categories of telemetry and introducing new testing requirements. Apica’s Ascent product suite provides the observability and validation infrastructure these AI workloads require.
- Apica Observe provides AI and LLM observability: Visibility into recommendation engine performance, content generation model latency, token usage, and pipeline reliability as AI systems scale across production.
- Apica Wayfinder delivers on-demand synthetic test data for pre-production AI validation, so content personalization and recommendation models can be tested against realistic audience behavior data without using real viewer PII.
- Apica Vanguard extends synthetic monitoring to AI-powered media workflows, continuously testing the API calls, content delivery handoffs, and multi-step sequences AI agents execute before failures affect the viewer experience.
- The full Ascent product suite is architected for the data volumes AI-driven media operations generate, so your telemetry infrastructure scales with your AI content strategy, not against it.