Should You Build or Buy Video Observability? The TCO for Streaming Services and OEMs

Originally posted on June 19, 2025 and republished on April 7, 2026 with the addition of AI Aspects within the Observability solution.

TL;DR

• Without real-time playback data, streaming teams are left reacting to viewer complaints after the damage is done. A strong observability foundation connects QoE, monetization, and performance in one place.
• Building in-house gives you control but comes at a steep cost. Custom analytics systems require deep player expertise, are difficult to scale during peak traffic, and need constant rebuilding as playback technologies evolve.
• Commercial solutions accelerate time-to-value and reduce operational risk. Pre-built collectors, cross-device SDKs, built-in SLAs, and ready-to-use dashboards mean engineering teams spend less time maintaining infrastructure and more time acting on insights.
• Bitmovin’s Observability is purpose-built for the full streaming stack. With real-time dashboards, AI-powered session analysis, multi-tenant support, and data export to S3, Snowflake, and Pub/Sub, Bitmovin eliminates the blind spots that in-house tools typically leave behind.

Observability is one of the most essential systems for any video streaming platform. It gives engineering, product, and business teams the data they need to make smarter decisions, whether that’s improving playback, resolving viewer issues, optimizing ad delivery, or preparing for a high-profile launch. Without a strong Observability and analytics foundation, teams often end up reacting to problems only after they’ve impacted users. With access to both live and past performance data, teams can anticipate and resolve issues more effectively. This blog continues our series on the total cost of ownership for core streaming infrastructure, following our breakdowns of the Player and VOD Encoder, with a focus on how Observability, more than any other system, connects user experience, monetization, and performance.

In this blog, we’ll explore the total cost of ownership (TCO) of commercial and in-house observability solutions, with use cases tailored for OEMs, OVPs, broadcasters, SVOD platforms, and AVOD services.

Commercial Observability for video streaming: Pros & cons

Commercial Observability solutions for video offer fast integration, cross-device support, and built-in scalability. They include pre-built collectors that automatically capture player events, along with dashboards that surface playback and error data from the moment integration begins, helping teams get ahead of performance trends. While they provide strong out-of-the-box coverage, most platforms charge licensing fees based on usage and may limit how much you can customize metrics or formulas. Vendors that also offer encoding and playback tools, like Bitmovin, can connect Observability and analytics insights directly to stream optimization and delivery improvements.

Here’s a quick breakdown of the advantages and tradeoffs:

Pros:

• Pre-built collectors and SDKs reduce integration time (Collectors)
• Compatible with most commercial and open-source players
• Includes built-in SLAs that ensure performance even during high-traffic periods (Real-time Observability)
• Dashboards usable by technical and business teams
• Access to experts for data interpretation and performance tuning (Error Tracking)

Cons:

• Licensing costs based on usage
• Limited flexibility for custom metric definitions

In-house analytics: Pros & cons

Building an in-house observability and analytics solution gives you full control over how data is collected, processed, and visualized. You can define your metrics, create custom dashboards, and integrate deeply with your internal tools. However, this flexibility comes with significant engineering overhead. Mapping player events accurately requires deep technical knowledge, and maintaining consistent data quality across multiple devices is difficult, especially during high-traffic events. Supporting new playback technologies or workflows often means rebuilding major parts of the system.

Here’s how the tradeoffs compare:

Pros:

• Full control over metric definitions and data sources
• Dashboards tailored to internal workflows and reporting needs

Cons:

• Complex integrations with each video player
• Difficult to maintain when changing playback technologies
• Requires deep expertise to define meaningful metrics
• Scaling reliably during peak traffic is challenging

OVP or OEM

For OVPs and OEMs, observability and analytics often become a part of the product itself, not just an internal tool. Whether offered as a dashboard or exposed through APIs, it needs to match your platform’s user experience while keeping customer data cleanly separated. At the same time, your team still needs a unified view of playback across all customers to resolve issues and manage performance. Building and maintaining this level of flexibility, visibility, and control in-house is technically demanding and rarely scalable. Most platforms in this category turn to commercial solutions to simplify these layers without compromising integration depth.

Tailoring an in-house solution for each customer also brings additional complexity. Customers expect fast access to reliable playback metrics, but few platforms can afford to build custom observability and analytics per tenant. Commercial solutions allow you to meet those expectations while offering configurability to meet individual customer requirements. With the right APIs and exports, you still retain control over how metrics are delivered or visualized.

Key needs:

• Observability and Analytics UX that integrates with your service
• Data and authentication are separated for each customer (multi-tenant)
• Management dashboards for global usage and performance monitoring
• APIs and data exports to connect observability and analytics to your backend

Bitmovin’s value:

• Multi-tenant dashboard with separate authentication for each customer, integrated with SSO, eg, Okta
• Admin views for real-time insight into platform-wide performance
• Export options for Amazon S3, Pub/Sub, Snowflake, and other services
• Built-in observability and alerting to identify issues early

See how 24i improved their customer-facing Observability capabilities with Bitmovin

Public broadcaster or subscription-based streaming service

For public broadcasters and SVOD platforms, observability and analytics are critical to ensuring a consistently high-quality experience. When viewers are paying for access or relying on your service as a public resource, any playback issue can have immediate consequences. That might mean lost subscribers, negative feedback, or a damaged reputation that affects future programming and partnerships. These services need real-time, detailed diagnostics for individual viewer experiences to prevent widespread impact.

Observability and Analytics supports strategic planning by helping teams understand quality trends, forecast demand, and evaluate what’s driving viewer engagement across devices. A commercial solution simplifies this process and gives teams confidence that data collection and infrastructure will scale when it matters most.

Key needs:

• Accurate, real-time data across all platforms and devices
• Granular playback data to troubleshoot individual viewer experiences
• Alerts and observability to detect issues before they escalate
• Historical data to track quality trends and viewership patterns

Bitmovin’s value:

• Real-time dashboards and session-level visibility
• Full coverage across open-source and commercial video players
• AI Session Interpreter to accelerate support workflows
• AI Assistant
• Flexible retention for long-term performance tracking
• Built-in observability to monitor playback across all endpoints

Ad-supported streaming services

For AVOD platforms, observability and analytics directly impacts revenue. If an ad doesn’t play correctly, buffers mid-playback, or fails to track properly, the opportunity to generate revenue from that impression is lost. That missed impression directly affects revenue and can lead to viewer abandonment. Teams need clear visibility into ad playback at the session level and across segments like device type, ad server, or delivery method. With the right observability and analytics solution, teams can identify gaps in ad delivery and optimize their revenue pipelines more efficiently.

AVOD operations require more than just knowing whether an ad was delivered. Teams must monitor quartile completion rates, detect beacon failures, and respond to ad-specific errors in real time. A commercial observability solution made for video streaming and analytics platform enables this granularity while supporting the combination of CSAI and SSAI workflows.

Key needs:

• Real-time visibility into ad performance and errors
• Viewer-level tracking to identify ad behavior patterns and playback failures
• Support for both CSAI and SSAI workflows
• Filtering by ad server, device, region, and playback conditions

Bitmovin’s value:

• Real-time Advertising Observability delivered within seconds of playback
• Session-level insights showing when and where ad breaks occur, alongside viewer behaviour
• Support for CSAI and SSAI with detailed error tracking
• Filters to isolate issues by device, server, CDN, or version
• Metrics to identify top error codes and optimize fill rates

How AI reduces the operational cost of observability

When evaluating observability, most teams focus on the cost of collecting and visualizing data. What’s often missed is the cost of actually using it.

Even with dashboards in place, teams still spend time building queries, navigating views, and correlating playback issues across devices, sessions, and releases. This creates ongoing operational overhead that impacts engineering time and slows down decision-making.

With Bitmovin’s AI Assistant in Bitmovin’s Observability, teams can interact with playback and QoE data using natural language, reducing the effort required to investigate and understand performance.

Bitmovin’s value:

• Faster investigation cycles, less time spent navigating dashboards and building queries
• Reduced reliance on specialized roles, enabling broader team access to insights
• Quicker root cause identification, across platforms, devices, and releases
• More efficient use of data, turning telemetry into clear, actionable insights

As a result, the cost of working with observability data decreases, not just the cost of running it. For teams evaluating build vs buy, this becomes a key factor in long-term efficiency and scalability.

Final takeaway

The decision to build or buy your observability and analytics platform has long-term consequences beyond the initial investment. It influences the speed of your response, the scalability of your solution, and the resources needed to maintain reliability. In-house systems may offer control, but they are costly to build, difficult to scale, and rarely flexible enough to support multiple use cases over time. Commercial platforms simplify integration, improve operational efficiency, and reduce the risk of data blind spots across devices. Bitmovin’s Observability provides a scalable, real-time solution for OTT services, OEMs, broadcasters, and AVOD platforms that need accurate data they can act on.

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