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What is Riemann?

Riemann efficiently aggregates events generated from your servers and applications through a powerful stream processing language. It enables the automation of email alerts for every exception that arises in your application, tracks the latency distribution of your web service, and helps in pinpointing the highest resource-consuming processes on any machine based on memory and CPU metrics. Furthermore, Riemann facilitates the collection of statistics from all Riak nodes within your cluster, which can subsequently be forwarded to Graphite for further analysis. User interactions can be monitored in real-time, as Riemann provides a low-latency, transient shared state suited for systems with numerous dynamic elements. The streams in Riemann function as event-accepting algorithms, and with its configuration presented as a Clojure program, the syntax remains clear, uniform, and flexible. By adopting a configuration-as-code approach, Riemann minimizes repetitive code while offering the adaptability essential for managing complex scenarios. This system can be customized to provide varying levels of detail, making it possible to throttle or merge multiple events into a single notification as needed. You can receive timely email alerts regarding exceptions in your code, service failures, or spikes in latency, and it also integrates seamlessly with PagerDuty for immediate SMS or phone alerts. Ultimately, Riemann empowers developers to maintain effective oversight and responsiveness across their applications and infrastructure, ensuring that system health is consistently monitored and managed efficiently. The ability to tailor notifications and insights allows for a more proactive approach to application management, enhancing overall operational efficiency.

What is Prometheus?

Elevate your monitoring and alerting strategies by utilizing a leading open-source tool known as Prometheus. This powerful platform organizes its data in the form of time series, which are essentially sequences of values linked to specific timestamps, metrics, and labeled dimensions. Beyond the stored time series, Prometheus can generate temporary derived time series based on the results of queries, enhancing versatility. Its querying capabilities are powered by PromQL (Prometheus Query Language), which enables users to real-time select and aggregate data from time series. The results from these queries can be visualized as graphs, presented in a table format via Prometheus's expression browser, or retrieved by external applications through its HTTP API. To configure Prometheus, users can employ both command-line flags and a configuration file, where flags define unchangeable system parameters such as storage locations and retention thresholds for disk and memory. This combination of configuration methods offers a customized monitoring experience that can accommodate a variety of user requirements.

Media

Media

Integrations Supported

Apache SkyWalking
Bamboo
Bitbucket
CrowdSec
EMQX
Fluentd
Grafana Loki
Kamatera
MayaData
Netdata
Opservo
Ozone
StackPulse
Subnetlens
Tetragon
Vodia PBX
Worldr
Zulip
groundcover
imgproxy

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Riemann

Company Website

riemann.io

Company Facts

Organization Name

Prometheus

Date Founded

2012

Company Website

prometheus.io

Categories and Features

Container Monitoring

Not specified

Network Monitoring

Not specified

Categories and Features

Container Monitoring

Not specified

Database

Not specified

Network Monitoring

Not specified

Observability

Not specified

Server Monitoring

Not specified

Telemetry

Not specified

Time Series Databases

Not specified

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