• Developer guide
  • API reference

›Management

Getting started

  • Introduction to Imply Polaris
  • Quickstart
  • Navigate the console
  • Key concepts

Ingestion sources

  • Ingestion sources overview
  • Supported data formats
  • Create a connection
  • Ingest from files
  • Ingest from S3
  • Ingest from Kinesis
  • Ingest from Confluent Cloud
  • Kafka Connector for Imply Polaris
  • Push event data

Tables and data

  • Overview
  • Introduction to tables
  • Table schema
  • Create an ingestion job
  • Timestamp expressions
  • Data partitioning
  • Introduction to rollup
  • Approximation algorithms
  • Replace data

Analytics

  • Overview
  • Manage data cubes
  • Visualize data
  • Data cube dimensions
  • Data cube measures
  • Dashboards
  • Create a dashboard
  • Visualizations reference
  • Set up alerts
  • Set up reports
  • Embed visualizations
  • Query data

Monitoring

  • Overview

Management

  • Overview
  • Pause and resume a project

Billing

  • Overview
  • Polaris plans
  • Estimate project costs

Usage

  • Overview

Security

    Polaris access

    • Overview
    • Invite users to your organization
    • Permissions reference
    • Manage user groups
    • Enable SSO
    • SSO settings reference
    • Map IdP groups

    Secure networking

    • Connect to AWS

Developer guide

  • Overview
  • Authentication

    • Overview
    • Authenticate with API keys
    • Authenticate with OAuth
  • Manage users and groups
  • Migrate deprecated resources
  • Create a table
  • Define a schema
  • Upload files
  • Create an ingestion job
  • Ingestion sources

    • Ingest from files
    • Ingest from a table
    • Get ARN for AWS access
    • Ingest from Amazon S3
    • Ingest from Amazon Kinesis
    • Ingest from Confluent Cloud
    • Push event data
    • Kafka Connector for Imply Polaris
    • Kafka Connector reference
  • Filter data to ingest
  • Ingest nested data
  • Ingest and query sketches
  • Query data
  • Update a project
  • Link to BI tools
  • Connect over JDBC
  • Query parameters reference
  • API documentation

    • OpenAPI reference
    • Query API

Product info

  • Release notes
  • Known limitations
  • Druid extensions

Management overview

Imply Polaris lets you scale the data storage capacity of your project for optimal cost and performance. To view the current usage or to adjust the size of your project, go to Management > Project Size in the Polaris UI.

This topic provides an overview of the project size management capabilities included in Polaris.

Prerequisites

You need to have one of following permissions assigned to your user account to access the Project Size page:

  • AccessScaling provides read-only access to the Project Size page.
  • AdministerScaling provides read and write access to the Project Size page. A user requires this permission to change the size of a project.

Project size

The Project Size page provides a summary of your current data usage and displays available project sizes.

Project Size view

Each size is defined by the following parameters:

  • vCPU: number of virtual processors
  • Memory: amount of memory
  • Storage: maximum usable storage space

Scale a project

To scale a project vertically, select the next size up or down from the list of available options. When scaling down, if the size of your data exceeds the space available, you must reduce the amount of data to fit within the selected storage size. If you do not see the project size that meets your needs, please contact Polaris customer support.

Learn more

See the following topics for more information:

  • Billing structure overview for information about the pricing structure of Polaris.
  • Usage overview for monitoring account usage from the Polaris UI.
  • Update a project via API for information on how to scale a project and update its state using the Project v1 API.
← OverviewPause and resume a project →
  • Prerequisites
  • Project size
    • Scale a project
  • Learn more
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