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What is Telegraf?

Telegraf serves as an open-source server agent designed to efficiently gather metrics from various sensors, stacks, and systems. Acting as a plugin-centric agent, it not only collects but also transmits metrics and events from a diverse array of sources including systems, databases, and IoT devices. Engineered in Go, it compiles into a single binary, requiring no external dependencies and consuming minimal memory. Telegraf supports a vast range of input sources, allowing for the seamless writing of data to numerous output destinations. With its plugin architecture, it is effortlessly extendable for both data collection and output purposes. Additionally, Telegraf boasts over 300 plugins developed by community data experts, making the collection of metrics from your endpoints a straightforward task. This flexibility and community support make Telegraf an invaluable tool for monitoring and performance analysis.

What is Hawkular Metrics?

Hawkular Metrics serves as a powerful, asynchronous, and multi-tenant engine that specializes in the long-term storage of metrics, leveraging Cassandra for data management and utilizing REST as its primary interface. This section outlines some key features of Hawkular Metrics, and the following segments will explore these characteristics and other functionalities in greater detail. A notable highlight of Hawkular Metrics is its exceptional scalability; it can function effectively on a single instance with just one Cassandra node, or it can scale up to include numerous nodes to meet increasing demands. Furthermore, the server is built with a stateless architecture, which simplifies the scaling process. The accompanying diagram illustrates various deployment configurations made possible by the adaptable design of Hawkular Metrics. In the upper left corner, the simplest configuration is shown, featuring a single Cassandra node linked to one Hawkular Metrics node, while the lower right corner presents a scenario where multiple Hawkular Metrics nodes work in tandem with fewer Cassandra nodes, thus demonstrating the system's deployment flexibility. Additionally, this architecture not only promotes efficiency but also ensures that users can seamlessly adapt to their changing requirements over time. Overall, the design of Hawkular Metrics is meticulously crafted to accommodate the dynamic needs of its users effectively.

Media

Media

Integrations Supported

Apache Cassandra
Amazon Web Services (AWS)
Apache Kafka
Cisco ACI
Confluent
Cribl Stream
Elasticsearch
GitHub
Grafana Cloud
Graylog
Hosted Graphite
Microsoft 365
NetStairs
Observo AI
PubNub
RabbitMQ
SQL Server
Slack
VMware Cloud

Integrations Supported

Apache Cassandra

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free and open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

InfluxData

Date Founded

2013

Company Location

United States

Company Website

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

Company Facts

Organization Name

Hawkular Metrics

Company Website

www.hawkular.org//hawkular-metrics/docs/user-guide/

Categories and Features

Data Extraction

Disparate Data Collection

Data Management

Data Capture
Data Migration

Data Preparation

Data Cleansing
Data Transformation

IT Infrastructure Monitoring

Application Monitoring

Server Monitoring

Not specified

Time Series Databases

Not specified

Categories and Features

Time Series Databases

Not specified

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