Monitoring

Related

Sentry
Prometheus
AlertManager
Grafana
Sentry Error Tracking
Prometheus Monitoring
Grafana Visualization
AlertManager for Alerts
Sentry for Application Monitoring
Prometheus for Metrics Collection
Grafana Dashboards
AlertManager Notifications
Error Logging with Sentry
Prometheus and Grafana Integration
Alerting with Prometheus and AlertManager

Technology Goals

Sentry, Prometheus, Grafana, and AlertManager are essential tools for monitoring, logging, and alerting in modern software development and operations. Together, they form a powerful stack that enables teams to track application performance, monitor system metrics, visualize data, and respond to issues in real-time.

  • Sentry: Sentry is an error-tracking and performance monitoring tool designed to help developers identify, diagnose, and fix issues in real-time. It captures and reports exceptions, errors, and performance bottlenecks across web and mobile applications. Sentry provides detailed error context, including stack traces, user feedback, and logs, allowing developers to reproduce and resolve bugs quickly. Sentry integrates with various programming languages and frameworks, including Python, JavaScript, Ruby, and more.
  • Prometheus: Prometheus is an open-source monitoring and alerting toolkit that collects real-time metrics from applications and infrastructure. It uses a time-series database to store metrics, and its flexible query language (PromQL) allows developers and system administrators to analyze performance data in detail. Prometheus excels in gathering metrics from microservices-based architectures and provides robust support for monitoring applications at scale.
  • Grafana: Grafana is a data visualization tool that integrates with Prometheus and other data sources to create dynamic dashboards. It enables users to visualize system and application metrics, track key performance indicators (KPIs), and create custom dashboards that provide insights into system performance. Grafana’s flexibility allows users to create interactive visualizations, set up alerts, and generate reports for stakeholders.
  • AlertManager: AlertManager works alongside Prometheus to manage alerts based on metric thresholds. It handles deduplication, grouping, and routing of alerts to notification systems such as email, Slack, PagerDuty, and more. AlertManager ensures that critical issues are escalated to the appropriate teams, helping organizations respond to incidents quickly.

In our projects, Sentry is used to monitor and track errors in real time, Prometheus gathers metrics from applications and infrastructure, Grafana visualizes this data, and AlertManager ensures that teams are alerted to critical issues. Together, these tools form a comprehensive observability stack that enhances visibility, reliability, and performance across all levels of the system.

Strengths of Sentry, Prometheus, Grafana, and AlertManager in Our Projects

These tools offer a wide range of features that make them indispensable for monitoring, alerting, and troubleshooting in complex systems:

  • Error Tracking with Sentry: Sentry provides real-time error tracking, helping developers monitor application stability and resolve issues faster. It captures errors and exceptions across a wide range of programming languages and platforms. Sentry's detailed reports include stack traces, error logs, and user context, allowing developers to reproduce and fix issues efficiently. Additionally, Sentry’s performance monitoring features help identify performance bottlenecks and slow transactions, ensuring high application performance.
  • Metrics Collection with Prometheus: Prometheus excels at collecting and storing time-series metrics from applications, infrastructure, and services. It is highly scalable and designed for monitoring microservices-based architectures. Prometheus provides a powerful query language (PromQL) to analyze data and create custom metrics, allowing teams to gain deep insights into system performance and resource utilization.
  • Data Visualization with Grafana: Grafana integrates with Prometheus to provide a dynamic interface for visualizing metrics and creating dashboards. Users can build custom dashboards that display key performance metrics, system health indicators, and real-time alerts. Grafana’s visualization capabilities are essential for tracking system trends, identifying bottlenecks, and monitoring system health in a centralized location.
  • Alerting with Prometheus and AlertManager: Prometheus generates alerts when predefined conditions are met, such as high CPU usage or slow response times. AlertManager processes these alerts, deduplicates them, and routes them to the appropriate notification channels. This ensures that the right teams are alerted to critical issues and can respond quickly to resolve incidents, minimizing downtime.

Comparison with Other Monitoring Tools

  • Sentry vs. New Relic: New Relic is another popular tool for application performance monitoring (APM) and error tracking. While New Relic offers comprehensive APM capabilities, Sentry is more focused on error tracking and debugging. Sentry provides more detailed insights into individual errors and exceptions, making it ideal for developers who need to diagnose and fix issues quickly. New Relic, on the other hand, is better suited for overall application performance monitoring.
  • Prometheus vs. Datadog: Datadog is a full-stack monitoring service that includes metrics, traces, logs, and more. While Datadog provides a more integrated monitoring solution with out-of-the-box features, Prometheus is an open-source alternative that offers more flexibility in terms of customization and control. Prometheus is highly suited for organizations that prefer open-source solutions and need advanced metric querying with PromQL.
  • Grafana vs. Kibana: Kibana is a data visualization tool primarily used with the Elastic Stack. While Kibana excels in visualizing log data from Elasticsearch, Grafana is more versatile in terms of integrating with multiple data sources, including Prometheus, InfluxDB, MySQL, and more. Grafana is preferred for building dashboards that combine metrics from multiple systems and creating interactive, real-time visualizations.
  • AlertManager vs. PagerDuty: PagerDuty is a popular alerting tool that focuses on incident management and alert routing. While AlertManager can handle basic alerting needs by routing alerts to email or Slack, PagerDuty offers more advanced features such as on-call scheduling, escalation policies, and detailed incident reporting. However, AlertManager is ideal for teams already using Prometheus, as it integrates seamlessly with Prometheus to provide efficient alert management.

Real-world Applications in Client Projects

  • E-commerce Platform Monitoring: For a large e-commerce platform, Prometheus was used to monitor critical infrastructure metrics, such as server health, database performance, and application latency. Grafana was employed to create custom dashboards that displayed real-time performance data, while AlertManager ensured that alerts were sent to the appropriate teams when metrics exceeded predefined thresholds. Sentry was integrated to track application errors, helping the development team quickly identify and fix issues.
  • Microservices Monitoring: In a microservices-based architecture, Prometheus was used to collect metrics from individual services, including resource utilization, response times, and error rates. Grafana provided a centralized view of all services, allowing the team to monitor system health and track performance trends over time. Sentry was used to capture and track errors in individual services, while AlertManager was configured to send real-time alerts when performance thresholds were breached.
  • DevOps Monitoring for Cloud Infrastructure: For a client using cloud infrastructure, Prometheus was set up to monitor key cloud services, including storage, networking, and virtual machines. Grafana provided detailed dashboards displaying cloud resource usage and health metrics, while AlertManager sent alerts to the DevOps team when resource limits were reached. Sentry was also used to track application-level errors, ensuring that both system and application performance were monitored closely.

Client Benefits and Feedback

Clients using Sentry, Prometheus, Grafana, and AlertManager have reported improved visibility into their systems and faster incident resolution times. One client in the SaaS industry noted how Sentry helped their team track and fix application errors more efficiently, reducing downtime and improving the overall user experience. Another client praised the Prometheus and Grafana combination for its ability to provide real-time monitoring and visualization of infrastructure performance, helping them maintain system stability during peak traffic times.

Clients using AlertManager highlighted its seamless integration with Prometheus and how it helped ensure that critical alerts were sent to the right teams in a timely manner, allowing for quicker response times to incidents.

Conclusion

Sentry, Prometheus, Grafana, and AlertManager provide a comprehensive solution for monitoring, error tracking, data visualization, and alerting in modern software systems. Sentry’s error-tracking capabilities help developers quickly diagnose and resolve issues, while Prometheus and Grafana offer robust monitoring and visualization tools for tracking system performance. AlertManager ensures that critical alerts are delivered to the right teams, minimizing downtime and improving system reliability. Together, these tools form an essential observability stack for building reliable, high-performance applications.

Projects with Monitoring Technology

Bond Trading Platform Development for Mobile and Web

Development of a bond trading platform for an investment company, offering mobile and web trading capabilities, seamless integration with government services, and access to the Moscow Exchange.

Technologies:

Celery (4)
Ansible (3)
Agile (12)
Docker (9)
Git (3)
MongoDB (2)
SWIFT / iOS (2)
JavaScript / TypeScript (9)
Monitoring (1)
REST API (2)
Redis (9)
Python (1)
Project Management (4)
QA (4)
PostgreSQL (27)
Auto Testing (25)
Django (23)
Linux (23)
FastAPI (6)
HTML / CSS (4)
HighLoad (1)
DevOps (3)

Domains:

Business Solutions (12)
Finance and Cryptocurrency (7)
More