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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. AWS CloudTrail vs Logmatic

AWS CloudTrail vs Logmatic

OverviewComparisonAlternatives

Overview

AWS CloudTrail
AWS CloudTrail
Stacks304
Followers280
Votes14
Logmatic
Logmatic
Stacks66
Followers77
Votes238

AWS CloudTrail vs Logmatic: What are the differences?

What is AWS CloudTrail? Record AWS API calls for your account and have log files delivered to you. 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.

What is Logmatic? Funnel all logs, metrics and machine events into a single hub. 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.

AWS CloudTrail and Logmatic can be primarily classified as "Log Management" tools.

Some of the features offered by AWS CloudTrail are:

  • 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

On the other hand, Logmatic provides the following key features:

  • Easy Set Up: Just send us any type of logs - front to back - machine events, or metrics and we will do the powerful processing. No Logmatic.io agent
  • Enrichment & Parsing: Automatic recognition, Customisable grok parsers, Integrated IP geolocation and user-agent parsing
  • Investigation: Faceted and full-text granular searches, Real-time search results

"Very easy setup" is the top reason why over 6 developers like AWS CloudTrail, while over 34 developers mention "Powerful Data Vizualization" as the leading cause for choosing Logmatic.

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Detailed Comparison

AWS CloudTrail
AWS CloudTrail
Logmatic
Logmatic

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.

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.

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.
Easy Set Up: Just send us any type of logs - front to back - machine events, or metrics and we will do the powerful processing. No Logmatic.io agent; Enrichment & Parsing: Automatic recognition, Customisable grok parsers, Integrated IP geolocation and user-agent parsing; Investigation: Faceted and full-text granular searches, Real-time search results; Monitoring: Real-time, customizable log analyses, Clickable dashboards, powerful data vizualization; Alerting: via email, Slack, pagerduty, hipchat, webhook. Create highly flexible alerts based on your logs analyses with search queries or metrics, and user-defined thresholds
Statistics
Stacks
304
Stacks
66
Followers
280
Followers
77
Votes
14
Votes
238
Pros & Cons
Pros
  • 7
    Very easy setup
  • 3
    Good integrations with 3rd party tools
  • 2
    Backup to S3
  • 2
    Very powerful
Pros
  • 35
    Powerful Data Vizualization
  • 31
    Live search
  • 30
    Super reactive interface
  • 28
    Amazing support team
  • 27
    Real-time alerts on slack
Integrations
Boundary
Boundary
Loggly
Loggly
Splunk Cloud
Splunk Cloud
Segment
Segment
PagerDuty
PagerDuty
Heroku
Heroku
Docker
Docker
Slack
Slack
Rails
Rails
Java
Java
Golang
Golang
Android SDK
Android SDK
Symfony
Symfony

What are some alternatives to AWS CloudTrail, Logmatic?

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.

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.

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.

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.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

ELK

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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