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  1. Stackups
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  3. Log Management
  4. Log Management
  5. AWS CloudTrail vs Matano

AWS CloudTrail vs Matano

OverviewComparisonAlternatives

Overview

AWS CloudTrail
AWS CloudTrail
Stacks304
Followers280
Votes14
Matano
Matano
Stacks0
Followers2
Votes0
GitHub Stars1.6K
Forks116

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Detailed Comparison

AWS CloudTrail
AWS CloudTrail
Matano
Matano

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

Matano is the open source security lake platform for AWS. It lets you ingest petabytes of security and log data from various sources, store and query them in a data lake, and create Python detections as code for realtime alerting.

Increased Visibility- CloudTrail provides increased visibility into your user activity by recording AWS API calls. You can answer questions such as, what actions did a given user take over a given time period? For a given resource, which user has taken actions on it over a given time period? What is the source IP address of a given activity? Which activities failed due to inadequate permissions?;Durable and Inexpensive Log File Storage- CloudTrail uses Amazon S3 for log file storage and delivery, so log files are stored durably and inexpensively. You can use Amazon S3 lifecycle configuration rules to further reduce storage costs. For example, you can define rules to automatically delete old log files or archive them to Amazon Glacier for additional savings.;Easy Administration- CloudTrail is a fully managed service; you simply turn on CloudTrail for your account using the AWS Management Console, the Command Line Interface, or the CloudTrail SDK and start receiving CloudTrail log files in the Amazon Simple Storage Service (Amazon S3) bucket that you specify.;Reliable- CloudTrail continuously transports events from AWS services using a highly available and fault tolerant processing pipeline.;Timely Delivery- CloudTrail typically delivers events within 15 minutes of the API call.;Log File Aggregation- CloudTrail can be configured to aggregate log files across multiple accounts and regions so that log files are delivered to a single bucket. Please refer to the of the AWS CloudTrail User Guide for detailed instructions.;Notifications for Log File Delivery- CloudTrail can be configured to publish a notification for each log file delivered, thus enabling you to automatically take action upon log file delivery. CloudTrail uses the Amazon Simple Notification Service (SNS) for notifications.;Choice of Partner Solutions- Multiple partners including AlertLogic, Boundary, Loggly, Splunk and Sumologic offer integrated solutions to analyze CloudTrail log files. These solutions include features like change tracking, troubleshooting, and security analysis.
Collect data from all your sources; Ingest, transform, normalize log data; Store data in S3 object storage; Apache Iceberg Data lake; Serverless; Detections as code
Statistics
GitHub Stars
-
GitHub Stars
1.6K
GitHub Forks
-
GitHub Forks
116
Stacks
304
Stacks
0
Followers
280
Followers
2
Votes
14
Votes
0
Pros & Cons
Pros
  • 7
    Very easy setup
  • 3
    Good integrations with 3rd party tools
  • 2
    Very powerful
  • 2
    Backup to S3
No community feedback yet
Integrations
Boundary
Boundary
Loggly
Loggly
Splunk Cloud
Splunk Cloud
Amazon S3
Amazon S3
Apache Spark
Apache Spark
Python
Python
Kafka
Kafka
Amazon Athena
Amazon Athena

What are some alternatives to AWS CloudTrail, Matano?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Let's Encrypt

Let's Encrypt

It is a free, automated, and open certificate authority brought to you by the non-profit Internet Security Research Group (ISRG).

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Presto

Presto

Distributed SQL Query Engine for Big Data

Sqreen

Sqreen

Sqreen is a security platform that helps engineering team protect their web applications, API and micro-services in real-time. The solution installs with a simple application library and doesn't require engineering resources to operate. Security anomalies triggered are reported with technical context to help engineers fix the code. Ops team can assess the impact of attacks and monitor suspicious user accounts involved.

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