Pinecone

Supported OS

Pinecone Dashboard Overview
このページは日本語には対応しておりません。随時翻訳に取り組んでいます。翻訳に関してご質問やご意見ございましたら、お気軽にご連絡ください。

Overview

  • Optimize performance and control usage: Observe and track specific actions (e.g. request count) within Pinecone to identify application requests with high latency or usage. Monitor trends and gain actionable insights to improve resource utilization and reduce spend.

  • Automatically alert on metrics: Get alerted when index fullness reaches a certain threshold. You can also create your own customized monitors to alert on specific metrics and thresholds.

  • Locate and triage unexpected spikes in usage or latency: Quickly visualize anomalies in usage or latency in Pinecone’s Datadog dashboard. View metrics over time to better understand trends and determine the severity of a spike.

Setup

Installation

  1. Login to your Pinecone account .
  2. Navigate to API Keys tab.
  3. Create an API key.
  4. Copy the created API Key to your clipboard.

Configuration

  1. Navigate to the configuration tab inside Datadog Pinecone integration tile .
  2. Enter your project Id.
  3. Enter your environment, which could be found when copying your API key to clipboard.
  4. Enter your copied API key.

Data Collected

Metrics

pinecone.vector.count
(gauge)		Number of records per pod in the index.
Shown as record
pinecone.request.count.total
(count)		Number of data plane calls made by clients.
Shown as request
pinecone.request.error.count.total
(count)		Number of data plane calls made by clients that resulted in errors.
Shown as request
pinecone.request.latency.seconds.min
(gauge)		Minimum of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.max
(gauge)		Maximum of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.avg
(gauge)		Average of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.50percentile
(gauge)		p50 of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.90percentile
(gauge)		p90 of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.95percentile
(gauge)		p95 of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.99percentile
(gauge)		p99 of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.99.9percentile
(gauge)		p99.9 of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as second
pinecone.request.latency.seconds.count
(count)		Count of the distribution of server-side processing latency for Pinecone data plane calls.
Shown as request
pinecone.index.fullness
(gauge)		Fullness of the index on a scale of 0 to 1.
Shown as unit

Logs

Pinecone does not include collectings logs.

Service Checks

Pinecone does not include any service checks.

Events

Pinecone does not include any events.

Troubleshooting

Need help? Contact Datadog support .