Search Best Practices - Sumo Logic Customer Brown Bag - Logging - Dec 5th, 2023
Updated: November 20, 2024
Summary
The video provides valuable insights into logging best practices using Sumo Logic, showcasing features like logging levels, Field Browser, Log Reduce, partitions, Lookups, Scheduled Views, and Search Templates. It demonstrates how these tools can help streamline log analysis, data correlation, error monitoring, and query efficiency. Viewers are encouraged to engage through chat, Q&A, and hand-raising throughout the session. The upcoming sessions on AWS observability and logging are also announced, offering attendees more opportunities to delve into related topics.
TABLE OF CONTENTS
Introduction and Schedule Overview
Logging Best Practices Overview
Logging Levels and Auto Detection
Field Browser and Field Extraction
Log Reduce for Noise Reduction
Using Partitions for Data Management
Lookups for Data Correlation
Scheduled Views for Automated Queries
Search Templates for Enhanced Querying
Selecting lines on a Mac
Using the Option Key on Mac
Upcoming Sessions
Introduction and Schedule Overview
The speaker welcomes attendees to the Sumo Logic customer session, explains the purpose of the series, and provides an overview of the schedule for customer sessions.
Logging Best Practices Overview
The speaker introduces Jean, a manager of technical account managers (TAMs), who will cover logging best practices. The audience is encouraged to interact via chat, Q&A, and hand-raising during the session.
Logging Levels and Auto Detection
The speaker discusses the logging levels in Sumo Logic, demonstrating how Sumo Logic automatically detects log levels like error, warning, and info, and assigns metadata tags to messages for easier analysis.
Field Browser and Field Extraction
The speaker explains the Field Browser functionality in Sumo Logic, showcasing how to identify and extract fields for more structured and detailed log analysis.
Log Reduce for Noise Reduction
The speaker covers the Log Reduce feature in Sumo Logic, which helps reduce noise by identifying and analyzing message types within a defined scope to pinpoint and address specific errors or issues.
Using Partitions for Data Management
The speaker delves into the concept of partitions in Sumo Logic, illustrating how partitions help in organizing and managing data subsets efficiently, including setting storage tiers and retention periods for different data sets.
Lookups for Data Correlation
The speaker discusses Lookups in Sumo Logic, highlighting how Lookups aid in correlating data from different sources and demonstrating a real-world example of using Lookups for data correlation and error code monitoring.
Scheduled Views for Automated Queries
The speaker explains Scheduled Views in Sumo Logic, which automates query execution at regular intervals, providing pre-aggregated data for efficient analysis, and showcasing the benefits of Scheduled Views for timely data retrieval.
Search Templates for Enhanced Querying
The speaker introduces Search Templates in Sumo Logic, emphasizing how Search Templates streamline querying by enabling users to create predefined search queries for specific use cases, enhancing search efficiency and accuracy.
Selecting lines on a Mac
On a Mac, you can select a group of lines by holding the ALT key to move down multiple lines at once and comment out on multiple lines.
Using the Option Key on Mac
Explaining the use of the Option key on a Mac keyboard to change the cursor to a plus sign and easily drag down to comment out multiple lines at once.
Upcoming Sessions
Announcement of upcoming sessions on AWS observability and logging, providing dates for the next sessions on AWS observability and logging topics.
FAQ
Q: What is the Field Browser functionality in Sumo Logic used for?
A: The Field Browser functionality in Sumo Logic is used to identify and extract fields for more structured and detailed log analysis.
Q: How does the Log Reduce feature in Sumo Logic help in log analysis?
A: The Log Reduce feature in Sumo Logic helps reduce noise by identifying and analyzing message types within a defined scope to pinpoint and address specific errors or issues.
Q: What is the purpose of partitions in Sumo Logic?
A: Partitions in Sumo Logic help in organizing and managing data subsets efficiently, including setting storage tiers and retention periods for different data sets.
Q: How can Lookups in Sumo Logic be beneficial?
A: Lookups in Sumo Logic aid in correlating data from different sources and can be used for tasks like data correlation and error code monitoring.
Q: What is the function of Scheduled Views in Sumo Logic?
A: Scheduled Views in Sumo Logic automate query execution at regular intervals, providing pre-aggregated data for efficient analysis and timely data retrieval.
Q: How do Search Templates in Sumo Logic enhance search efficiency?
A: Search Templates in Sumo Logic streamline querying by enabling users to create predefined search queries for specific use cases, enhancing search efficiency and accuracy.
Q: Can you explain the keyboard shortcut on a Mac for selecting and commenting out multiple lines at once?
A: On a Mac, you can select a group of lines by holding the ALT key to move down multiple lines at once and comment out on multiple lines.
Q: What upcoming topics are announced for the next sessions?
A: The upcoming sessions will cover AWS observability and logging, providing dates for the next sessions on these topics.
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