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Prometheus

Data Science Dojo

Prometheus

Data Science Dojo

Turn your metrics into insights with real-time monitoring and alerting of your data

Prometheus: Open Source

Data Science Dojo delivers data science education, consulting, and technical services to increase the power of data.

About the offer:

Making data-driven decisions is only possible when there is a deep understanding of the data present and the event responsible for it. To gain full advantage from data, monitoring of key business metrics is vital in understanding why a service/application is behaving in a certain way. Simply visualizing your data is not enough to keep stakeholders informed. Adding careful monitoring and alerts will give your stakeholders an advantage when making a data-driven decision. This advantage comes from Prometheus, an open-source monitoring and alerting tool. Prometheus records real-time metrics in a time series database, with flexible queries and real-time alerting.

Advantage of using Prometheus:
  • Carry out machine-oriented and service-based architecture monitoring
  • Ability to view system’s statistics
  • Efficient storage and performance
  • Optimized memory usage
Who benefits from this offer:
  • Anyone who is looking for a reliable system with instant alerts during an outage. As every Prometheus server is independent from one other, it can be relied on when other parts of the infrastructure are broken
  • Anyone who wants to avoid setting up extensive infrastructure for monitoring
  • People looking to work with customized metrics, apply rich queries on their data and integrate with other members of Cloud native computing foundation
What is included in this offer:
  • Prometheus server that scrapes data and stores it as a time series
  • Support for PromQL (Prometheus Query Language) to select and aggregate time series data in real time
  • An alert manager responsible for sending alerts based on triggers to messaging platforms, email and HTTP webhooks
  • Pushgateway that offers collection of metrics from short-lived jobs that cannot be scraped
  • Functional web dashboard to visualize collected data via multiple modes of graphing
  • In-build support for data visualization dashboard through API consumers such as Grafana
  • Client libraries that allow for implementing application code
  • Numerous support tools
  • Special-purpose exporters for services like HAProxy, StatsD, Graphite, etc.
Technical Specifications:
  • Prometheus port: 9090
  • Recommended configuration:
  • Memory optimized (E-Series): High memory-to-core ratio optimized for heavy in-memory applications
  • VM Series:
  • Instance: D2ads v5
    1. Size: 2 vCPUs, 8 GB RAM
  • Instance: D2as v4
    1. Size: 2 vCPUs, 8 GB RAM
  • Instance: D2d v5
    1. Size: 2 vCPUs, 8 GB RAM
  • Instance: F4s v2
    1. Size: 2 4CPUs, 8 GB RAM
  • Users can access the VM via Remote Desktop, SSH, or browser
  • Users have full access to
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