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What is Beats?

Beats is a free, open-source solution designed for the seamless transport of data from various devices and systems to Logstash or Elasticsearch. By installing these data shippers as agents on your servers, you can streamline the transfer of operational information directly to Elasticsearch. Elastic provides Beats to help capture diverse data streams and event logs effectively. Data can be either sent directly to Elasticsearch or processed through Logstash for further enrichment before being visualized in Kibana. If you're aiming for swift implementation of infrastructure monitoring and centralized log analytics, starting with the Metrics app and the Logs app in Kibana is highly recommended. For thorough understanding, consult the available resources on metrics analysis and log monitoring. Filebeat, in particular, simplifies the process of collecting data from security devices, cloud setups, containers, hosts, or operational technology, offering a lightweight solution for log and file centralization. This approach allows you to efficiently manage your data flow while avoiding unnecessary complexity, ultimately enhancing your operational efficiency. Additionally, utilizing Beats can lead to improved data insights and decision-making within your organization.

What is Apache Mesos?

Mesos operates on principles akin to those of the Linux kernel; however, it does so at a higher abstraction level. Its kernel spans across all machines, enabling applications like Hadoop, Spark, Kafka, and Elasticsearch by providing APIs that oversee resource management and scheduling for entire data centers and cloud systems. Moreover, Mesos possesses native functionalities for launching containers with Docker and AppC images. This capability allows both cloud-native and legacy applications to coexist within a single cluster, while also supporting customizable scheduling policies tailored to specific needs. Users gain access to HTTP APIs that facilitate the development of new distributed applications, alongside tools dedicated to cluster management and monitoring. Additionally, the platform features a built-in Web UI, which empowers users to monitor the status of the cluster and browse through container sandboxes, improving overall operability and visibility. This comprehensive framework not only enhances user experience but also positions Mesos as a highly adaptable choice for efficiently managing intricate application deployments in diverse environments. Its design fosters scalability and flexibility, making it suitable for organizations of varying sizes and requirements.

Media

Media

Integrations Supported

Apache Aurora
Docker
AWS Amplify
AWS CloudTrail
Amazon Ads
Amazon AppFlow
Amazon CloudWatch
Amazon DynamoDB
Amazon Elastic Container Service (Amazon ECS)
Amazon RDS
Apache Avro
Apache Brooklyn
Apache Cassandra
Azure Bastion
Azure DNS
Cisco ACI
Elasticsearch
HashiCorp Consul

Integrations Supported

Apache Aurora
Docker
Apache Spark
Marathon

API Availability

Has API

API Availability

Pricing Information

$16 per month

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

SaaS
Windows
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Elastic

Date Founded

2012

Company Location

United States

Company Website

www.elastic.co/beats/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

mesos.apache.org

Categories and Features

Categories and Features

Cloud Management

Not specified

Cluster Management

Not specified

Container Engines

Not specified

Container Management

Not specified

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