What does unified observability mean?

[ParkerFromNOW]

In the evolving landscape of cloud operations, unified observability isn't just a buzzword—it represents our mission to streamline and enhance the user experience. 

Our Unification Strategy

At Cloud Observability, unified means simplifying complexities associated with cloud-native observability by delivering a single, user-friendly interface to extract maximum insight from metrics, logs, and traces.

Central Core Tools

At the core of our platform, a suite of essential tools paves the way for efficient data management:

• Dashboards: Tailor-made visualizations to show trends, explore historical data, and easily compare groups.
• Alerts: Proactively monitor system health, ensuring you're always a step ahead of potential issues.
• Notebooks: A dynamic, interactive space where users can annotate, analyze, and share data-driven insights from across Cloud Observability.

A Core Query Tool

Extracting and analyzing data should be a seamless process, no matter how intricate the underlying telemetry might be. Our unified query engineer is designed to facilitate this, and offers multiple interfaces:

• Unified Query Builder (UQB): A user-friendly graphical tool that's perfect for quickly crafting queries and exploring data.
  
  
• Unified Query Language (UQL): Dive deeper with a flexible query language tailored to extract granular, specific insights.

Unified Telemetry Charts

Visualize metric data, transaction SLIs, and log-derived metrics - using beautiful charts, tables, and plots.

• Use the same charts and dashboards to represent metrics, values extracted from logs, or SLIs derived from spans.
  
  
• When a specific telemetry type offers unique context or capabilities, additional chart types become available, like customizable dependency diagrams using trace data.

Telemetry Management

Managing vast quantities of data from diverse sources shouldn't be a daunting task. We offer:

• Historical billing analysis: Keep tabs on telemetry consumption over time, broken down by service and operation, and telemetry type.
  
  
• Cost controls: Filter or block specific data on ingest, ensuring cost-effectiveness without compromising on quality. Create long-term span-derived metrics to reduce traditional metric spend, while adding cross-stack performance context.