AWS CloudTrail vs Azure Search

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AWS CloudTrail

264
216
+ 1
14
Azure Search

63
178
+ 1
16
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AWS CloudTrail vs Azure Search: What are the differences?

Developers describe AWS CloudTrail as "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. On the other hand, Azure Search is detailed as "Search-as-a-service for web and mobile app development". Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

AWS CloudTrail can be classified as a tool in the "Log Management" category, while Azure Search is grouped under "Search as a Service".

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, Azure Search provides the following key features:

  • Powerful, reliable performance
  • Easily tune search indices to meet business goals
  • Scale out simply

"Very easy setup" is the top reason why over 6 developers like AWS CloudTrail, while over 3 developers mention "Easy to set up" as the leading cause for choosing Azure Search.

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Pros of AWS CloudTrail
Pros of Azure Search
  • 7
    Very easy setup
  • 3
    Good integrations with 3rd party tools
  • 2
    Very powerful
  • 2
    Backup to S3
  • 4
    Easy to set up
  • 3
    Auto-Scaling
  • 3
    Managed
  • 2
    Easy Setup
  • 2
    More languages
  • 2
    Lucene based search criteria

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What companies use AWS CloudTrail?
What companies use Azure Search?
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What tools integrate with AWS CloudTrail?
What tools integrate with Azure Search?

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What are some alternatives to AWS CloudTrail and Azure Search?
AWS Config
AWS Config is a fully managed service that provides you with an AWS resource inventory, configuration history, and configuration change notifications to enable security and governance. With AWS Config you can discover existing AWS resources, export a complete inventory of your AWS resources with all configuration details, and determine how a resource was configured at any point in time. These capabilities enable compliance auditing, security analysis, resource change tracking, and troubleshooting.
AWS X-Ray
It helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With this, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. It provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
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.
See all alternatives