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features
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support

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Description

Blueflood is an advanced distributed metric processing system designed for high throughput and low latency, operating as a multi-tenant solution that supports Rackspace Metrics. It is actively utilized by both the Rackspace Monitoring team and the Rackspace public cloud team to effectively manage and store metrics produced by their infrastructure. Beyond its application within Rackspace, Blueflood also sees extensive use in large-scale deployments documented in community resources. The data collected through Blueflood is versatile, allowing users to create dashboards, generate reports, visualize data through graphs, or engage in any activities that involve analyzing time-series data. With a primary emphasis on near-real-time processing, data can be queried just milliseconds after it is ingested, ensuring timely access to information. Users send their metrics to the ingestion service and retrieve them from the Query service, while the system efficiently handles background rollups through offline batch processing, thus facilitating quick responses for queries covering extended time frames. This architecture not only enhances performance but also ensures that users can rely on rapid access to their critical metrics for effective decision-making.

Description

Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fsourceforge.net%2Fprojects%2Fprometheus.mirror%2F

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cloud Ops Group
Comet Backup
Cribl Stream
Curity
Edge Delta
Harness
Interlink Software
JHipster
Jira
KubeGrid
Lens Autopilot
MetricFire
Netdata
NeuVector
RAD Security
SolarWinds Pingdom
The Galileo Suite
Tradetron
Uptrace
openITCOCKPIT

Integrations

Cloud Ops Group
Comet Backup
Cribl Stream
Curity
Edge Delta
Harness
Interlink Software
JHipster
Jira
KubeGrid
Lens Autopilot
MetricFire
Netdata
NeuVector
RAD Security
SolarWinds Pingdom
The Galileo Suite
Tradetron
Uptrace
openITCOCKPIT

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Blueflood

Website

blueflood.io

Vendor Details

Company Name

Prometheus

Founded

2012

Website

prometheus.io

Product Features

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

IT Infrastructure Monitoring

Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring

Network Monitoring

Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting

Alternatives

Alternatives

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Segment Reviews

Segment

Twilio