Streamfold

About Streamfold

The startup operates a telemetry pipeline platform that enables real-time sampling of events and metrics through ingestion, filtering, and transformation. It helps developers manage costs associated with logs, metrics, and traces by providing full-fidelity archives and cost-efficient cloud storage, while supporting common telemetry tools for data parsing and field extraction.

```xml <problem> Managing telemetry data (logs, metrics, and traces) can be costly and complex for developers, especially when dealing with high volumes of data and multiple destinations. Developers often struggle to optimize costs associated with data ingestion, filtering, and routing, while maintaining full-fidelity archives for compliance and post-incident analysis. </problem> <solution> Streamfold offers a telemetry pipeline platform designed to help developers manage and optimize their telemetry data. The platform allows real-time sampling of events and metrics through ingestion, filtering, and transformation. It enables users to manage costs by sending only relevant data to vendors and storing full-fidelity archives in cost-efficient cloud storage. Streamfold also provides flexible routing, allowing users to connect telemetry data to multiple destinations, empowering different teams with the data they need. </solution> <features> - Support for common telemetry tools such as OpenTelemetry, Datadog, Elastic, Splunk, and Amazon S3. - Flexible routing to connect telemetry data to multiple destinations for observability, product, data science, and customer success teams. - Data transformation capabilities to enforce taxonomies, rename fields, parse data, and extract fields using pre-built functions. - Real-time visibility into telemetry data with live sampling of events and metrics on ingestion, filtering, transformation, and deliverability. - Instant deployment of pipeline changes through API or UI with swift rollback capabilities. - Lightweight OpenTelemetry collector implemented in Rust for speed and efficiency (Rotel). - Client libraries for Python and Node.js, and an AWS Lambda extension for integration with various environments. </features> <target_audience> Streamfold is primarily targeted towards developers and engineering teams who need to manage and optimize their telemetry data pipelines for cost efficiency, compliance, and improved observability. </target_audience> ```

What does Streamfold do?

The startup operates a telemetry pipeline platform that enables real-time sampling of events and metrics through ingestion, filtering, and transformation. It helps developers manage costs associated with logs, metrics, and traces by providing full-fidelity archives and cost-efficient cloud storage, while supporting common telemetry tools for data parsing and field extraction.

Where is Streamfold located?

Streamfold is based in Blacksburg, United States.

When was Streamfold founded?

Streamfold was founded in 2022.

How much funding has Streamfold raised?

Streamfold has raised 3020000.

Who founded Streamfold?

Streamfold was founded by Mike Heffner and Ray Jenkins.

  • Mike Heffner - Founder
  • Ray Jenkins - Founder
Location
Blacksburg, United States
Founded
2022
Funding
3020000
Employees
3 employees
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Streamfold

Score: 42/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

The startup operates a telemetry pipeline platform that enables real-time sampling of events and metrics through ingestion, filtering, and transformation. It helps developers manage costs associated with logs, metrics, and traces by providing full-fidelity archives and cost-efficient cloud storage, while supporting common telemetry tools for data parsing and field extraction.

streamfold.com10+
Founded 2022Blacksburg, United States

Funding

$

Estimated Funding

$3M+

Team (<5)

Mike Heffner

Founder

Ray Jenkins

Founder

Company Description

Problem

Managing telemetry data (logs, metrics, and traces) can be costly and complex for developers, especially when dealing with high volumes of data and multiple destinations. Developers often struggle to optimize costs associated with data ingestion, filtering, and routing, while maintaining full-fidelity archives for compliance and post-incident analysis.

Solution

Streamfold offers a telemetry pipeline platform designed to help developers manage and optimize their telemetry data. The platform allows real-time sampling of events and metrics through ingestion, filtering, and transformation. It enables users to manage costs by sending only relevant data to vendors and storing full-fidelity archives in cost-efficient cloud storage. Streamfold also provides flexible routing, allowing users to connect telemetry data to multiple destinations, empowering different teams with the data they need.

Features

Support for common telemetry tools such as OpenTelemetry, Datadog, Elastic, Splunk, and Amazon S3.

Flexible routing to connect telemetry data to multiple destinations for observability, product, data science, and customer success teams.

Data transformation capabilities to enforce taxonomies, rename fields, parse data, and extract fields using pre-built functions.

Real-time visibility into telemetry data with live sampling of events and metrics on ingestion, filtering, transformation, and deliverability.

Instant deployment of pipeline changes through API or UI with swift rollback capabilities.

Lightweight OpenTelemetry collector implemented in Rust for speed and efficiency (Rotel).

Client libraries for Python and Node.js, and an AWS Lambda extension for integration with various environments.

Target Audience

Streamfold is primarily targeted towards developers and engineering teams who need to manage and optimize their telemetry data pipelines for cost efficiency, compliance, and improved observability.