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

AWS CloudTrail vs Kibana vs Stackdriver

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudTrail
AWS CloudTrail
Stacks304
Followers280
Votes14
Stackdriver
Stackdriver
Stacks318
Followers349
Votes67
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K

AWS CloudTrail vs Kibana vs Stackdriver: What are the differences?

## Key Differences Between AWS CloudTrail and Kibana and Stackdriver

1. **Data Collection**: AWS CloudTrail captures API calls and logs them, providing visibility into user activity within AWS. Kibana, on the other hand, is a data visualization tool that helps analyze and understand large volumes of data across various sources. Stackdriver primarily focuses on monitoring, logging, and diagnostics across Google Cloud Platform services.

2. **Integration**: AWS CloudTrail is native to AWS and seamlessly integrates with other services such as CloudWatch for monitoring. Kibana is often used in conjunction with Elasticsearch for data analysis and visualization. Stackdriver is tightly integrated with Google Cloud Platform services, providing a unified monitoring and logging solution for organizations using GCP.

3. **Alerting Capabilities**: AWS CloudTrail can send notifications via Amazon SNS when specific events occur, allowing users to take immediate action. Kibana lacks built-in alerting capabilities and often requires integration with third-party tools for alerting functionalities. Stackdriver offers advanced alerting features that can be customized based on specific metrics or events, providing proactive monitoring and incident management.

4. **Cost Structure**: AWS CloudTrail charges customers based on the number of events recorded and stored in logs, making it a cost-effective solution for tracking AWS activity. Kibana, in combination with Elasticsearch, may involve additional costs for data storage and processing. Stackdriver offers flexible pricing options based on the volume of monitoring data collected and stored, offering scalability for businesses of all sizes.

5. **User Interface and Interaction**: AWS CloudTrail provides a straightforward interface for viewing logs, searching for specific events, and analyzing historical data. Kibana offers a rich graphical user interface for building custom dashboards, visualizations, and data exploration. Stackdriver provides a user-friendly dashboard with real-time monitoring and diagnostics, enhancing user interaction and troubleshooting capabilities.

6. **Security and Compliance**: AWS CloudTrail supports features like encryption, access control, and audit trail integrity to ensure data security and compliance with industry standards. Kibana and Stackdriver also offer security measures such as role-based access control and encryption for protecting sensitive information stored and processed within their platforms.

In Summary, AWS CloudTrail, Kibana, and Stackdriver differ in data collection methods, integration capabilities, alerting functionalities, cost structures, user interfaces, and security features.

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Advice on AWS CloudTrail, Stackdriver, Kibana

matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments
abrahamfathman
abrahamfathman

Jun 26, 2019

ReviewonKibanaKibanaSplunkSplunkGrafanaGrafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

2.29M views2.29M
Comments

Detailed Comparison

AWS CloudTrail
AWS CloudTrail
Stackdriver
Stackdriver
Kibana
Kibana

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.

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

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.
Monitoring;Logging;Diagnostics;Application Tracing;Error Reporting;Alerting;Uptime Monitoring;Multi-cloud;Production Debugger;
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
20.8K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
8.5K
Stacks
304
Stacks
318
Stacks
20.6K
Followers
280
Followers
349
Followers
16.4K
Votes
14
Votes
67
Votes
262
Pros & Cons
Pros
  • 7
    Very easy setup
  • 3
    Good integrations with 3rd party tools
  • 2
    Backup to S3
  • 2
    Very powerful
Pros
  • 19
    Monitoring
  • 11
    Logging
  • 8
    Alerting
  • 7
    Tracing
  • 6
    Uptime Monitoring
Cons
  • 2
    Not free
Pros
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
Integrations
Boundary
Boundary
Loggly
Loggly
Splunk Cloud
Splunk Cloud
No integrations available
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to AWS CloudTrail, Stackdriver, Kibana?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

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.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Amazon CloudWatch

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

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