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Observability Platform

Observability Platform

4
posts
2023–2026

Pinecone has enhanced its observability capabilities by introducing new Prometheus endpoints and an updated Datadog integration. These features provide deeper insights into index performance and usage, including request frequency and duration, read/write unit consumption, and core latency metrics. The Datadog integration now supports both serverless and pod-based indexes with 25 new metrics, offering granular monitoring, out-of-the-box dashboards, and customizable alerts. The Prometheus endpoint now supports an open-source monitoring stack with pre-built Grafana dashboards and Prometheus metric collection for both Pinecone SaaS (Serverless) and Bring Your Own Cloud (BYOC) deployments, including Kubernetes infrastructure metrics via Node Exporter for BYOC. The stack supports Docker Compose for SaaS-only, Helm charts for BYOC, and a unified instance for mixed environments.

2026

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

6/9/2026

This post introduces an open-source monitoring stack for Pinecone, including pre-built Grafana dashboards and Prometheus metric collection. It supports both Pinecone SaaS and BYOC deployments, with specific configurations for SaaS-only (Docker Compose), BYOC-only (Helm charts), and a unified BYOC + SaaS instance. The stack addresses the unique challenges of monitoring vector databases by focusing on index health, ANNS performance, and Kubernetes infrastructure for BYOC. It enables proactive operations, root cause analysis, workload change detection, cost visibility, capacity planning, multi-project visibility, BYOC infrastructure health monitoring, and SLA documentation.

2024

Unlock enhanced performance and usage monitoring with Datadog and new Prometheus endpoints

11/6/2024

This post introduces new Prometheus endpoints and an updated Datadog integration for enhanced observability. The Prometheus endpoints allow direct access to metrics for serverless indexes, supporting HTTP service discovery. The Datadog integration has been expanded to cover both serverless and pod-based indexes, adding 25 new metrics focused on request frequency/duration, read/write unit consumption, and latency. It also includes out-of-the-box dashboards and customizable alerts for anomaly detection.

2023

Monitor Pinecone with Datadog

8/3/2023

This post announces a new Datadog integration for Pinecone, enabling users to monitor usage and performance of their AI applications. It details how the integration helps optimize performance, control usage, automatically alert on metrics, and triage spikes in usage or latency. It also mentions out-of-the-box dashboards and recommended monitors for Pinecone in Datadog.

New usage insights to plan, test, and grow with confidence

2/14/2023

Introduced new usage dashboards accessible to Organization Admins, providing visibility into team-wide usage and spend. These dashboards allow for monitoring usage over time with filters for timespan, projects, and services, enabling users to plan, test, and grow AI applications with confidence by understanding cost impact and preventing unexpected spikes. The feature is available for Standard, Enterprise, and Enterprise Dedicated accounts.