Observability Platform

4 posts · Aug 2023 – Jun 2026

What this trail covers

Pinecone has enhanced its observability capabilities by introducing an open-source monitoring stack, `pinecone-monitoring`, built on Prometheus and Grafana. This stack provides pre-built dashboards and alerting for both Pinecone SaaS and BYOC deployments, offering deeper insights into index performance, operational data, and BYOC infrastructure health. It enables proactive operations, root cause analysis, workload change detection, cost visibility, capacity planning, multi-project visibility, and now includes enhanced metrics for request frequency, duration, read/write unit consumption, and latency via Datadog integration and new Prometheus endpoints.

All Pinecone trails

Jun 2026Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOCThis post introduces the `pinecone-monitoring` open-source stack, detailing its architecture using Prometheus for metric collection and Grafana for visualization. It highlights the unique challenges of monitoring vector databases, focusing on index health metrics like record counts, upsert rates, and storage utilization, as well as approximate nearest-neighbor operation performance. The post outlines how this stack enables proactive operations, root cause analysis, workload change detection, cost visibility, capacity planning, multi-project visibility, BYOC infrastructure health monitoring, and SLA documentation. It also provides details on getting started with Docker Compose for SaaS monitoring and Helm charts for BYOC deployments.
Nov 2024Unlock enhanced performance and usage monitoring with Datadog and new Prometheus endpointsThis post introduces new Prometheus endpoints and an updated Datadog integration for Pinecone, significantly expanding observability. The new Prometheus endpoints allow direct access to metrics like request frequency, duration, and read/write unit consumption. The Datadog integration now provides 25 new metrics, including detailed request counts and durations by endpoint, serverless index size, and usage patterns over time. It also offers out-of-the-box dashboards and customizable alerts for proactive monitoring and anomaly detection, specifically highlighting alerts for write thresholds to prevent latency issues.
Aug 2023Monitor Pinecone with DatadogThis post details the integration of Pinecone with Datadog, enabling users to monitor Pinecone usage and performance metrics within the Datadog platform. Key features include optimizing performance and controlling usage by observing request counts, identifying high latency or usage, and gaining insights for resource utilization and cost reduction. It also allows for automatic alerting on metrics such as index fullness reaching a threshold and provides out-of-the-box dashboards and recommended monitors to visualize anomalies and avoid rate-limit errors or excessive latencies.
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