Amazon CloudWatch Logs Insights - Overview
Scope:
- Intro,
- Key Features and Capabilities,
- How to Get Started,
Link to official documentation,
- Data Sources,
Query Engine,
Query Workflow,
- Outputs,
- Integrations,
Performance & Cost,
Security & Access,
- Final tips.
Intro:
- Amazon CloudWatch Logs Insights is an interactive and powerful query and analysis service within Amazon CloudWatch.
- Amazon CloudWatch Logs Insights helps twtech to explore, analyze, and visualize its log data.
- Amazon CloudWatch Logs Insights enables users to quickly search through large amounts of log data to extract meaningful insights, troubleshoot operational issues, and identify patterns across multiple log groups.
Key Features and CapabilitiesPowerful Query Language:
- It uses a specialized query language (Logs Insights QL) that includes commands like
filter, fields, stats, parse, sort, limit, and display.
Automatic Field Discovery:
- For supported log types, CloudWatch Logs Insights automatically discovers fields within its log events, simplifying the querying process.
Log Data Parsing:
- For log fields that aren't automatically discovered, the
parse command allows twtech to extract data using glob or regular expressions, creating temporary fields for further analysis.
Visualization:
- Query results can be visualized in various formats such as tables, line graphs, bar charts, and pie graphs, which can then be added to a CloudWatch dashboard for continuous monitoring.
Performance and Efficiency:
- twtech can optimize query performance and reduce the volume of data scanned by selecting specific log groups, narrowing the time range, and using field indexes.
System Fields:
- CloudWatch Logs Insights automatically generates system fields for each log event, including
@timestamp, @message, @logStream, and @log.
How to Get Started
- It uses a specialized query language (Logs Insights QL) that includes commands like
filter,fields,stats,parse,sort,limit, anddisplay.
- For supported log types, CloudWatch Logs Insights automatically discovers fields within its log events, simplifying the querying process.
- For log fields that aren't automatically discovered, the
parsecommand allows twtech to extract data using glob or regular expressions, creating temporary fields for further analysis.
- Query results can be visualized in various formats such as tables, line graphs, bar charts, and pie graphs, which can then be added to a CloudWatch dashboard for continuous monitoring.
- twtech can optimize query performance and reduce the volume of data scanned by selecting specific log groups, narrowing the time range, and using field indexes.
- CloudWatch Logs Insights automatically generates system fields for each log event, including
@timestamp,@message,@logStream, and@log.
Navigate to the Console:
- In the AWS Management Console, twtech goes to the CloudWatch service and select Logs Insights from the navigation pane.
Select Log Groups:
- twtech Chooses one or more log groups that it wants to query from the dropdown menu.
Specify Time Range:
- twtech Uses the time selector to define the period it wants to analyze (e.g., last 5 minutes, last hour, or a custom range).
Write and Run a Query:
- twtech enters query in the editor box.
- A default query is provided to start;
- twtech can modify query it as needed.
Analyze Results:
- twtech Chooses Run query to execute the query and view the results in the Logs or Patterns tab.
- In the AWS Management Console, twtech goes to the CloudWatch service and select Logs Insights from the navigation pane.
- twtech Chooses one or more log groups that it wants to query from the dropdown menu.
- twtech Uses the time selector to define the period it wants to analyze (e.g., last 5 minutes, last hour, or a custom range).
- twtech enters query in the editor box.
- A default query is provided to start;
- twtech can modify query it as needed.
- twtech Chooses Run query to execute the query and view the results in the Logs or Patterns tab.
Link to official documentation
https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/AnalyzingLogData.html
1. Data Sources
Log Groups- From AWS Services (Lambda, API Gateway, ECS, VPC Flow Logs, CloudTrail, etc.)
- From EC2 and On-prem via CloudWatch Agent
- Individual sources writing log events
2. Query Engine
Purpose-Built Log Analytics Engine- Serverless, fully managed, scales automatically
- Optimized for high-volume log analysis
- SQL-like syntax
- Supports
filter,fields,sort,stats,parse - Example:
Count number of
ERRORlogs per hour
3. Query
Workflow
1. Select Log Groups (one or multiple)
2. Run Query using Logs Insights syntax
3. Results Returned in Seconds
o Filtered events
o Aggregations (e.g., counts, averages, percentiles)
- Raw Log Events (returned in the query results)
- Aggregated Metrics (counts, trends, top-N, etc.)
- Visualization
- o Built-in charts (line, bar, stacked area)
- o Time-based histograms
5. Integrations
CloudWatch Dashboardso Pin query results & visualizations to dashboards
Alarms
o Queries can feed into metric filters → CloudWatch Metrics → Alarms
Exporto Results
can be programmatically accessed via APIs
o Can
integrate with automation pipelines
6. Performance & Cost
Pay-per-Queryo Cost
based on amount of log data scanned (GBs)
o Narrow
down time range
o Select
only required fields
o Use
filter
early in query to reduce data scanned
7. Security & Access
IAM Permissionso Control who can run queries, view results, or export data
Encryptiono Logs encrypted in CloudWatch Logs (at rest with KMS, in-transit with TLS)
Final tips:
- CloudWatch Logs Insights is a serverless interactive analytics layer built directly into CloudWatch Logs.
- CloudWatch Logs Insights allows twtech to query, aggregate, and visualize log data at scale, turning raw logs into actionable insights for troubleshooting, monitoring, and security analysis.
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