How Observe Uses Snowflake to Deliver the Observability Cloud [Part 1]

Observe built the Observability Cloud on Snowflake to leverage its ability to handle vast amounts of data with efficiency and scalability, offering resiliency and global reach. The platform ingests data from various customer applications using open endpoints and agents, storing it in a Data Lake to create a Data Graph that allows comprehensive exploration and monitoring of organizational data. Snowflake's separation of storage and compute resources enables Observe to scale efficiently, accommodating large workloads with flexible, on-demand compute resources. Observe's micro-batch ingest process smooths unpredictable data streams into manageable chunks, optimizing data transfer to Snowflake and reducing costs. The system employs Kafka for buffering, converting data into the "observation" format, and utilizing Amazon S3 for storage before loading into Snowflake. This approach enhances data load efficiency and cost-effectiveness, allowing Observe to provide savings to customers. The strong partnership with Snowflake facilitates collaborative improvements benefiting both companies and their users.

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