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🔍nativeOpen Brings Full-Stack Observability to Telemetry

nativeOpen's Observability Tools for Telemetry

TL;DR

nativeOpen introduces full-stack observability for telemetry, using Otel and stateless design. Tools like PAI and PB CLI enable easy access to structured telemetry data.

nativeOpen, a new product, introduces full-stack observability for telemetry using a stateless design and Otel. This means users can monitor their systems comprehensively without worrying about state management. Developers and DevOps teams can leverage tools like PAI and PB CLI to automatically instrument Kubernetes workloads and query telemetry data directly from their terminal. The product's design ensures that telemetry data is parseable and accessible through structured tools, making it easier to investigate issues and improve system performance. With options like Slack Bot integration, teams can bring operational insights directly into their communication channels.

nativeOpen Brings Full-Stack Observability to Telemetry — parseable.com

Key Points

1

nativeOpen uses a columnar format for efficient data storage and retrieval.

2

The product is designed to be stateless, ensuring no data is lost during operations.

3

Full-stack observability is achieved through Otel, a native and composable design.

4

MCP allows AI agents to connect to live telemetry for real-time monitoring.

5

PB CLI enables querying and investigating Parseable telemetry without leaving the terminal.

Why It Matters

If you're managing Kubernetes workloads, nativeOpen's PAI can automatically instrument your workloads and collect every signal. With PB CLI, you can query and investigate telemetry directly from your terminal. This setup is ideal for teams looking to enhance observability and streamline operational tasks.

telemetryobservabilitykubernetesotelstateless

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