What comes after observability? Going beyond the basics.

What is observability?

Observability is the ability to understand the internal state of a system by analyzing the data it produces – such as logs, metrics, and traces. It plays a crucial role in ensuring the availability, performance, and security of modern software environments (IBM).

In the context of enterprise video, observability means having visibility into how your video streams are performing – bandwidth usage, device health, latency, buffering, and delivery metrics across your network.

However, in large organizations, visibility alone isn’t enough. You need to go further – from knowing what happened to understanding why it happened, where it happened, and how to fix or prevent it.

What comes after observability?

Observability shows you what's happening – but the real value comes from going further and understanding why it's happening, how to fix it, and being able to take immediate, live action before things escalate. That’s why the next steps in going beyond observability involve leveraging solutions that provide live diagnostics, detect patterns and trends across time, and offer predictive insights and actionable recommendations.

Why are live diagnostics important in enterprise video?

Live diagnostics help you spot issues based on intelligent, real-time insights. It’s more than just collecting metrics – it’s about correlating data across your digital workplace to uncover root causes and enable faster decision-making. In the world of enterprise video communications, this means anticipating disruptions before users are impacted and providing guided solutions to support teams and IT.

Why is pattern recognition important in enterprise video?

Pattern recognition allows organizations to detect recurring issues and trends in their webcasting performance. Examples include persistent network bottlenecks in specific office locations or spotting underperforming devices and endpoints across departments. Recognizing these patterns enables strategic planning, smarter resource allocation, and informed infrastructure investments – all of which improve the long-term reliability and scalability of enterprise video delivery.

Why is Hive Streaming an excellent choice when you want more than observability?

Hive delivers a powerful suite of tools that provide capabilities that go far beyond traditional observability, such as:

• Enterprise-scale monitoring of live video events in real-time: Monitor user experience and network health in one view to detect and resolve issues instantly.
• Real-time stream control: Adjust stream quality levels during live events to reduce buffering and protect network performance without disrupting the broadcast.
• Custom alerts and thresholds: Set tailored performance benchmarks and receive alerts when issues arise, enabling faster, SLA-aligned responses.
• Actionable post-event analytics: Access detailed playback and network data to identify root causes, optimize infrastructure, and improve future events.
• AI-powered insights and anomaly detection: Automatically identify issues, predict disruptions, and surface optimization opportunities before they impact performance.

In short, Hive turns raw data into strategy – making it the ideal choice for organizations that demand more than just visibility.