Why Observe?

The Data Lake provides a single destination for all of your observability data — no more siloed back-ends for different data types. And because all of your data is in one place, it’s easy to navigate and find relevant context during investigations.

Telegraf, Fluentbit, and other familiar open-source collectors send observability data to Observe. There’s no set schema, and there’s no vendor lock-in.

Once ingested, Observe then compresses that data 10x and stores it in Amazon S3 for 13 months — resulting in inexpensive long-term storage.

Observe accelerates data out of the Data Lake into the Data Graph to make it easier to navigate and faster to query. It also turns data into Datasets — or “things” — that you care about such as users, pods, or even customer tickets.

From there, you can link Datasets together to ask questions such as, “How were my customers affected by the latest push to production?” or “Do we need to increase our node count after deploying the latest feature?”

Data Graph is a feature unique to Observe — it makes sense of vast quantities of observability data and reduces troubleshooting time by bringing you relevant context quickly.

Apps are an easy, and self-service way to get data into Observe — but they’re more than just Integrations.

Out-of-the-box Apps contain loads of preset Integrations, Datasets, Dashboards, and Monitor templates to get you up and running in minutes with your favorite services.

Observe provides more than a dozen pre-built Apps for common environments like AWS, GCP, Azure, Kubernetes, Jenkins, and many more. In addition, you can also create custom integrations for use cases specific to your organization, like integrations for retail banking or ride-sharing mobile applications.