Day 79  Prometheus

Day 79 Prometheus

Day 79 of #90daysofdevops

Hey Techies! Welcome to this blog

In this blog, we are going to start with Prometheus.

What is Prometheus?

Prometheus is an open source monitoring and alerting toolkit for micro services and containers that provides flexible queries and real-time notifications. Prometheus assists in IT monitoring and makes the department aware of any issues with their APIs or other connected applications and services. The software checks for irregular traffic that could be a sign of an attack or compromise. Prometheus metrics can be used to track statistics such as top selling products, top reviewed products and order to ship times.

In this blog, we’ll explore the architecture, features, components, and data retention of Prometheus, shedding light on its significance in modern monitoring practices.

Let’s start…

Tasks:

  1. What is the Architecture of Prometheus Monitoring?

Prometheus follows a robust and salable architecture that ensures effective monitoring of your services. At its core, there are three main components:

  1. Prometheus Server: This component is responsible for collecting, processing, and storing the time series data. It retrieves metrics from the configured targets, such as services, and stores them in its internal time series database.

  2. Exporters: Prometheus utilizes exporters, which are specific libraries or agents, to extract and expose metrics from various services or applications. These exporters transform the metrics into a format that Prometheus can understand and scrape.

  3. Alert manager: The Alert manager component handles the alerting process in Prometheus. It receives alerts from the Prometheus server and performs actions based on predefined alert rules, such as sending notifications or triggering automated responses.

  4. What are the Features of Prometheus?

Prometheus offers a rich set of features that make it a versatile and efficient monitoring solution:

  1. Powerful Query Language: Prometheus Query Language (PromQL) allows you to retrieve and analyze metrics, create custom queries, and build complex expressions for generating insights and visualizations.

  2. Dynamic Service Discovery: Prometheus employs service discovery mechanisms to automatically identify and monitor new instances of services as they come online or go offline. This ensures seamless monitoring in dynamic environments.

  3. High Scalability and Performance: With its scalable architecture and efficient storage mechanism, Prometheus can handle a large volume of metrics while providing real-time monitoring capabilities with minimal overhead.

  4. What are the Components of Prometheus?

Apart from the core components mentioned earlier, Prometheus consists of several other vital elements:

  1. Grafana Integration: Grafana, a popular visualization tool, can be integrated with Prometheus to create stunning dashboards and gain deeper insights into your metrics.

  2. Push gateway: The Push gateway allows you to push metrics from batch jobs or short-lived processes into Prometheus. It is especially useful when monitoring jobs that are not directly accessible by Prometheus.

  3. Federation: Prometheus Federation enables you to aggregate metrics from multiple Prometheus instances, allowing centralized monitoring across different environments or regions.

  4. What database is used by Prometheus?

Prometheus employs its own internal time series database to store metrics. It uses a compressed and optimized data format, allowing efficient storage and retrieval of time series data.

Prometheus has a sophisticated local storage subsystem. For indexes, it uses LevelDB. For the bulk sample data, it has its own custom storage layer, which organizes sample data in chunks of constant size (1024 bytes payload). These chunks are then stored on disk in one file per time series.

  1. What is the default data retention period in Prometheus?

By default, Prometheus retains data for 15 days. However, you have the flexibility to customize the retention period according to your specific needs. Adjusting the retention period allows you to balance storage requirements and historical data analysis.

Now all the tools has been covered, It's time for projects....

Next 10 Days of 90daysofdevops are of Projects.

Thank you so much for taking the time to read till the end! Hope you found this blog informative and helpful.

Feel free to explore more of my content, and don't hesitate to reach out if need any assistance from me or in case of you have any questions.

Happy Learning!

~kritika :)

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