Sumo Logic Infrequent Data Tier App

The Infrequent Data Tier app provides visibility into the On-demand Search usage and costs associated with Infrequent Data Tier by providing intuitive pre-configured dashboard and searches. Infrequent Data Tiers are an economical, fully managed log analytics solution for high volume, infrequently accessed data. With Infrequent Data Tiers, organizations have a solution that can aggregate, store and analyze verbose sources such as App Debug, CDN, Load Balancer, and other infrequently accessed logs at a dramatically lower price point.

With growing adoption of modern application stacks that leverage micro-services and distributed architectures, organizations are generating more and more machine data. A large part of this data is not required for every day mission-critical operations. However, organizations still need to retain and analyze this data, as it can provide value across multiple groups within a digital enterprise. A cost efficient solution that manages infrequently used data is currently lacking in the market place, forcing customers to either not retain the data or build home-grown solutions that are difficult to maintain, secure, and don’t provide easy access to insights when enterprise needs it.

Log types

The Search Audit Index for Infrequent Data Tier App has the following fields:

• analytics_tier
• capacity_used
• daily_capacity
• data_retrieved_bytes
• data_scanned_bytes
• execution_duration_ms
• is_aggregate
• query
• query_end_time
• query_start_time
• query_type
• remote_ip
• retrieved_message_count
• scanned_message_count
• scanned_partition_count
• session_id
• status_me

You can start using the index by using following query:

_index=sumologic_search_usage_per_query \
analytics_tier="Infrequent"

Sample queries

The following query is from the Data Scanned Over Time panel of the Infrequent Cost dashboard.

_index=sumologic_search_usage_per_query analytics_tier = "Infrequent" !(user_name=*sumologic.com) !(status_message="Query Failed")
| fields data_scanned_bytes, query, is_aggregate, query_type, remote_ip, retrieved_message_count, scanned_message_count, scanned_partition_count, session_id, status_message, user_name
|data_scanned_bytes / 1Gi as sizeInGB
| timeslice 1d
| sum (sizeInGB) as total_data_scanned_GB, count as query_count by _timeslice
| fillmissing timeslice (1d)

Prerequisites

availability

Sumo Logic Infrequent Data Tier App is only available for Enterprise Suite customers.

Account Type	Account Level
Credits	Enterprise Suite

Collecting Data for the Infrequent Data Tier App

Infrequent Data Tiers enable you to ingest log or machine data for a minimal cost per GB. Your data is then securely stored by Sumo Logic and is instantly available on-demand for interactive analysis without any additional preparation, re-ingestion, or rehydration. This service is ideal when you need to quickly and/or periodically investigate issues, troubleshoot code, configuration problems, or address customer support cases which can rely on searching high volumes of data for insights. This allows you to only pay for the specific data sets that you analyze at a given time.

Infrequent Data Tiers allow you to effectively analyze high volumes of log data that is accessed on a minimal basis. In this data tier, you pay for the amount of data scanned in each search. This on-demand payment model allows you to minimize costs by only paying the data accessed.

You can verify if you already have the Search Audit Index enabled by querying:

_index=sumologic_search_usage_per_query

If no results are returned even for longer time ranges, it means you do not have Search Audit index enabled.

Installing the Infrequent Data Tier app

To install the app:

1. From the Sumo Logic navigation, select App Catalog.
2. In the Search Apps field, search for and then select your app.
3. Optionally, you can scroll down to preview the dashboards included with the app. Then, click Install App (sometimes this button says Add Integration).
4. Click Next.
5. Look for the dialog confirming that your app was installed successfully.
   

Once an app is installed, it will appear in your Personal folder or the folder that you specified. From here, you can share it with other users in your organization. Dashboard panels will automatically start to fill with data matching the time range query received since you created the panel. Results won't be available immediately, but within about 20 minutes, you'll see completed graphs and maps.

Viewing Infrequent Data Tier dashboards

Data Scanned Overview

The Infrequent Data Tier - Data Scanned Overview dashboard provides visibility into the total amount of data scanned by infrequent queries. This allows you to monitor and control on-demand search costs for the Infrequent Tier.

Use this dashboard to:

• Monitor data scan information per day.
• Analyze monthly comparisons of scanned data.
• Understand data scanned by caller module, query type, and query status.

Data Scanned by Users

The Infrequent Data Tier - Data Scanned by Users dashboard provides insights into the amount of infrequent data scanned by specific users, user trends, and the geographic locations of users.

Use this dashboard to:

• Monitor data scan information by user.
• To analyze trends in data scanned by users over a 30 day period.
• Monitor the geographical locations for data scan information.

Query Analysis

The Infrequent Data Tier - Query Analysis dashboard provides visibility into the Infrequent Data Tier queries that are most expensive, as well as detailed information on the queries.

Use this dashboard to:

• Identify the most expensive queries on the Infrequent Tier.
• Analyze queries executed against Infrequent Tier.

Credits Consumed

The Infrequent Data Tier - Credits Consumed dashboard provides visibility into the total amount of Cloud Flex Credits your organization has consumed with infrequent queries. This allows you to monitor and control on-demand search costs for the Infrequent Tier.

Use this dashboard to:

• Monitor credits consumed per day.
• Monitor credits consumed per user.
• Monitor the geographical locations of credit consumption.
• Identify the most expensive queries on the Infrequent Tier.