Articles by

Dan Mangum

Dan is an experienced engineering leader, having built products and teams at both large companies and small startups. He has a history of leadership in open source communities, and has worked across many layers of the technical stack, giving him unique insight into the constraints faced by Golioth’s customers and the requirements of a platform that enables their success.

Using OpenAI Structured Outputs for IoT Data Pipelines

OpenAI's Structured Outputs allow callers to provide a JSON schema to define the structure in which responses should be formatted. When combined with Golioth Pipelines, this enables converting device data from an unknown to a known structure.

Golioth is (Not) Pivoting to AI

We’re not pivoting to be an AI company because providing access to the best tool for the job has been our mission all along.

You Might Not Need GNSS

Not every device needs GNSS support in order to obtain location data. Golioth Pipelines enable determining device position without changing hardware or firmware by leveraging location service platforms.

New Pipelines Transformer: Webhook

A new Pipelines transformer for calling an external webhook for data transformation is now generally available for Golioth users.

New Pipelines Transformer: Embed in JSON

A new Pipelines transformer for embedding data in JSON is now generally available for Golioth users.

New Pipelines Transformer: Base64

A new Pipelines transformer for Base64 encoding and decoding is now generally available for Golioth users.

New Pipelines Data Destination: Kafka

Golioth is announcing a new Pipelines data destination for Kafka. Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

New Pipelines Destination: AWS S3

Golioth is announcing a new Pipelines data destination for AWS S3. It represents the first object storage destination for Golioth Pipelines, and opens up a new set of data streaming use-cases, such as images and audio.

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