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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 Riak KV?

Riak is a specialist in distributed systems who collaborates with Application teams to tackle the complexities associated with these systems. Riak® is a distributed NoSQL database that provides: - Exceptional resilience that surpasses standard "high availability" solutions - Cutting-edge technology that guarantees data integrity, ensuring that no information is ever lost - Capability to scale massively on conventional hardware - A unified codebase that facilitates genuine multi-model support In addition to these features, Riak® prioritizes user-friendliness. Opt for Riak® KV for a versatile key-value data model suitable for managing web-scale profiles, session handling, real-time big data applications, catalog content management, comprehensive customer insights, digital messaging, and various other scenarios. Alternatively, select Riak® TS for applications related to IoT, time series analysis, and additional use cases, thereby enhancing your system's efficiency and performance.

Media

Media

Integrations Supported

Graphite
PagerDuty
Riak KV

Integrations Supported

Circonus IRONdb
Datadog
Happy Apps
Riemann

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0
Free open-source code, packages and documentation. Commercial support and training.
Free Version

Supported Platforms

SaaS

Supported Platforms

Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Riemann

Company Website

riemann.io

Company Facts

Organization Name

Riak

Date Founded

2008

Company Location

United States

Company Website

riak.com/index.html

Categories and Features

Container Monitoring

Not specified

Network Monitoring

Not specified

Categories and Features

Big Data

Data Mining
Data Warehousing
High Volume Processing

Database

Creation / Development
Data Replication
Data Search
Data Security
Mobile Access
Monitoring
NOSQL
Queries

Key-Value Databases

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Security Management

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