Prometheus: Open Source

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

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.

• Carry out machine-oriented and service-based architecture monitoring
• Ability to view system’s statistics
• Efficient storage and performance
• Optimized memory usage

• 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

• 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.

• 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
Size: 2 vCPUs, 8 GB RAM
• Instance: D2as v4
Size: 2 vCPUs, 8 GB RAM
• Instance: D2d v5
Size: 2 vCPUs, 8 GB RAM
• Instance: F4s v2
Size: 2 4CPUs, 8 GB RAM
• Users can access the VM via Remote Desktop, SSH, or browser
• Users have full access to