Observability at Observe: Architecture And Monitoring Cases
Blog post from Observe
Observe provides a highly scalable and available Observability Cloud that enables global teams to monitor software at an Internet scale by consolidating siloed data into a single data lake, transforming it into a connected graph of datasets. Using its own platform, "Observe on Observe" (O2), Observe self-monitors its system to ensure quality, providing insights into infrastructure, application, and DevOps performance. The platform employs a range of technologies such as Kafka, Snowflake, and Kubernetes, and offers prebuilt applications for AWS, GCP, and Azure, among others, along with custom configuration options using Terraform. The O2 environment is not only used for real-time analytics and infrastructure monitoring but also serves as a development playground where new features are tested and validated before wider deployment. This self-observation provides valuable data that enhances both the technical and business aspects of the service, ensuring efficient resource use, optimal customer performance, and facilitating continuous improvement and innovation.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 11 | 1,444 | 278 | 85 | +25% |
| Kubernetes | 7 | 1,866 | 194 | 74 | +7% |
| OpenTelemetry | 2 | 742 | 57 | 17 | +258% |
| AI Coding Assistant | 1 | 348 | 49 | 31 | -8% |
| Real-time | 1 | 2,527 | 623 | 172 | +6% |
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