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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Establishing a cohesive logging framework is essential for ensuring that log data is both accessible and functional. Unfortunately, many current solutions are inadequate; traditional tools do not cater to the demands of modern cloud APIs and microservices, and they are not evolving at a sufficient pace. Fluentd, developed by Treasure Data, effectively tackles the issues associated with creating a unified logging framework through its modular design, extensible plugin system, and performance-enhanced engine. Beyond these capabilities, Fluentd Enterprise also fulfills the needs of large organizations by providing features such as Trusted Packaging, robust security measures, Certified Enterprise Connectors, comprehensive management and monitoring tools, as well as SLA-based support and consulting services tailored for enterprise clients. This combination of features makes Fluentd a compelling choice for businesses looking to enhance their logging infrastructure.

Description

Kapacitor serves as a dedicated data processing engine for InfluxDB 1.x and is also a core component of the InfluxDB 2.0 ecosystem. This powerful tool is capable of handling both stream and batch data, enabling real-time responses through its unique programming language, TICKscript. In the context of contemporary applications, merely having dashboards and operator alerts is insufficient; there is a growing need for automation and action-triggering capabilities. Kapacitor employs a publish-subscribe architecture for its alerting system, where alerts are published to specific topics and handlers subscribe to these topics for updates. This flexible pub/sub framework, combined with the ability to execute User Defined Functions, empowers Kapacitor to function as a pivotal control plane within various environments, executing tasks such as auto-scaling, stock replenishment, and managing IoT devices. Additionally, Kapacitor's straightforward plugin architecture allows for seamless integration with various anomaly detection engines, further enhancing its versatility and effectiveness in data processing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Docker
Elasticsearch
MongoDB
Aerospike
Amazon CloudWatch
Amazon Elastic Container Service (Amazon ECS)
Apache Cassandra
Apache Mesos
Apache SkyWalking
Azure Storage
Couchbase
Edge Delta
GitHub
KubeSphere
Mailchimp
MaxCompute
MicroK8s
Netdata
Opsera

Integrations

Amazon Web Services (AWS)
Docker
Elasticsearch
MongoDB
Aerospike
Amazon CloudWatch
Amazon Elastic Container Service (Amazon ECS)
Apache Cassandra
Apache Mesos
Apache SkyWalking
Azure Storage
Couchbase
Edge Delta
GitHub
KubeSphere
Mailchimp
MaxCompute
MicroK8s
Netdata
Opsera

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.002 per GB per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fluentd Project

Founded

2011

Country

United States

Website

www.fluentd.org

Vendor Details

Company Name

InfluxData

Founded

2012

Country

United States

Website

www.influxdata.com/time-series-platform/kapacitor/

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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