Churning The Magic


With a fair understanding of Observability, and introduction to some of the tools/frameworks to achieve observable systems; we thought it would be a good idea to create a boilerplate to demonstrate the whole system in action. This boilerplate is a single click deployment built as a set of Docker images.

Components




The key components of this boilerplate are the docker images of the following:
  1. Application Layer: A simple web application built in Python Django with Postgres as database, and nginx running the web server
  2. Instrumentation Layer: A set of Logstash, Prometheus and Zipkin libs for Python serving as conduits to collect data (logs, metrics and traces)
  3. Stack (Data Storage) Layer: Elasticsearch, Zipkin and Prometheus storage
  4. Visualization (Analysis) Layer: Kibana, Prometheus UI, Grafana, and Zipkin UI
You can get started with this boilerplate with a single click, play around with it, and use it in your development/production environments to turn your applications into Observable systems. The boilerplate code is available on Github. Pull-requests are welcome to make it better and more useful for a varied production environments.

Features

  1. Advantages of OSS (Open Source Software): The boilerplate inherently enjoys the advantages of OSS since all the tools used in creation of this boilerplate. These include:
    • Cost effectiveness
    • Being able to be flexible in terms of changing tools
    • Ability to take the community versions and get started quickly in order to attain faster time to market
    • Visibility into the internal working of the tools, and scope of customizing them to specific needs
  2. Cloud Agnostic: With a little bit of production automation, the system is designed to fit seamlessly on to any cloud platform (AWS, Azure, Google, DigitalOcean, etc.)
  3. Containerised Solution: The system is containerised (using Docker) which enables exploiting the advantages of cloud-native development

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