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

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

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