EINBLIQ.IO for Streaming Services
360° Observability
(Client/CMCD + Server/CDN + Media Chain)
One source of truth for what viewers experience and why.
Unify player signals with origin/CDN, packaging and encoding data so ops, delivery, and product see the same picture and act faster.
Why typical observability falls short
Siloed views across the chain
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Client-only analytics tools lack delivery and packaging context.
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Service monitoring tools tools miss granual metrics on what happened for individual users.
- Metrics and logs are analyzed in isolation.
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Media-chain blind spots: encoding, packaging, manifest/DRM, and even production logs rarely show up in the same place.
Our solution: CMCD at the player plus server/CDN context (incl. CMSD response headers) and media-chain logs aligned by session/time gives real end-to-end visibility without heavy custom client SDKs.
Inconsistent and delayed signals
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Different schemas and IDs make correlation unreliable.
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Over-aggregation, probing, or batch delays hide outliers and live issues.
Our solution: Normalize on a shared schema (CMCD fields, content IDs, session keys) and add CMSD + logs so origins and intermediaries can attach standardized server data to every media object response. Correlate in near-real time so outliers and change points are visible when they matter.
How EINBLIQ.IO helps
Ingest and align
- Standards-based CMCD from the player; CMSD response headers from origin/CDN where available; plus packaging, origin, CDN and application logs.
- We normalize timestamps and keys so every session, asset, rendition and route is traceable in one timeline. (CMSD is CTA-5006; supported by multiple vendors, e.g., AWS Elemental MediaPackage.)
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Correlate and explain
Slice instantly by device model, OS, app version, codec, rendition, ISP/ASN, region, CDN path and origin.
See QoE metrics like rebuffer ratio, start-up time and distance to live edge next to delivery and packaging indicators.
The system highlights unusual patterns and attaches short root-cause hints.
With media-chain data in the mix, our pattern detection and investigation agents can also explain implicit symptoms, for example, lower viewing duration on specific titles that traces back to packaging irregularities or edge behavior rather than editorial factors.
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Share and act
Explorable views and saved lenses for ops, delivery and product. Push findings into Slack, Jira or Teams.
➔ QoE-Aware Delivery
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How EINBLIQ.IO helps
What you get
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Single source of truth: player, server/CDN and media-chain context in one place.
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Faster investigations: session-level replay and clean cohort comparisons.
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Fewer blind spots: long-tail devices, specific ISP routes, origin vs edge behavior and time-bound regressions are visible.
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Lower tool sprawl: observability that plugs into your existing stack.
Common lenses you will use on day one
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Device and app cohorts: model, OS, app version, player.
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Delivery routes: CDN provider, POP, ISP or ASN, region, origin vs edge.
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Live specifics: distance to live edge, rendition stability, skip-back patterns.
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VOD specifics: title and encode ladder quality, packaging/manifest/DRM events.
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Error taxonomy: HTTP status, segment fetch, license and token errors.
Standards and ecosystem
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CMCD (CTA-5004): Portable player telemetry that correlates cleanly with delivery data
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CMSD (CTA-5006): Standardized response headers so origins and CDNs can attach server-side status/context to each media object; helps expose origin/edge behavior
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CMAF packaging alignment: DASH-HLS interoperability guidance for consistent ladders and manifests
Innovate without risk
Own your truth
Normalized schema and definitions you can audit and export at any time.
Built for teams
Saved lenses and shared links replace screenshots. Findings flow into Slack, Jira or Teams.
Grow at your pace
Begin read-only. Add automation or QoE-aware delivery when you are ready.