Golang Weekly Newsletter, Gopa. Curated Golang news, tutorials, tools and more! 

Join thousands of other readers, 100% free, unsubscribe anytime.

This story offers a comprehensive comparison of Datadog vs Prometheus, two popular monitoring and observability tools. It explores key factors like data collection, metrics & instrumentation, visualization & alerting, ecosystem & integrations, and pricing to assist you in selecting the tool that best suits your needs.

Key takeaways:

Prometheus is open-source and leverages a pull-based model for data collection, while Datadog offers a subscription-based service with both pull and push-based models.

Both tools excel in metrics and instrumentation, with Prometheus featuring PromQL for queries and Datadog providing out-of-the-box integrations and agent collection.

Datadog outshines in visualization and alerting with its customizable dashboards and advanced features, whereas Prometheus offers a user-friendly web interface for metric visualization.

Prometheus boasts a large open-source community with extensive integrations, while Datadog provides pre-built integrations with over 600 tools and technologies.

Ultimately, the ideal choice depends on your specific requirements, budget, and existing technology stack.

This blog post compares two popular monitoring tools, Zabbix vs Prometheus. It highlights the key differences between these tools in terms of their monitoring capabilities, scalability, ease of use, community support, and pricing.

Here's a quick summary:

Prometheus: excels in collecting time-series metrics, easy to configure, strong community support, ideal for DevOps teams.

Zabbix: offers broader monitoring including logs, scales well for large setups, mature ecosystem, preferred by IT administrators.

Ultimately, the choice depends on your specific needs and preferences.

- Prometheus is a powerful open-source system for service monitoring and time series data storage.

- Thanos is a companion tool that adds high availability and long-term storage capabilities to Prometheus.

- Thanos seamlessly integrates with Prometheus and provides object storage for historical data.

- It ensures rapid query response times and offers a global query view for real-time data merging.

- Thanos enables high availability for Prometheus and allows for long-term metrics retention.

- It simplifies the backup process and facilitates cross-cluster scalability.

- Thanos provides cost-effective data access and enhances Prometheus' scalability and reliability.

- Scaling Prometheus with Thanos involves storage configuration, utilizing the Thanos Sidecar, setting up Thanos Query, and aggregating Thanos Query nodes.

- LOGIQ.AI offers a comprehensive platform, LOGIQ Stack, for scaling Prometheus using Thanos.

Learn how Prometheus Blackbox Exporter can monitor external systems with multiple protocols and custom endpoints to provide rich metrics, alerting, increased visibility, and faster issue resolution.

Need help setting up a monitoring system? Here’s a complete, easy to deploy, dockerised monitoring system for a local development environment with email alerts.

The open source software Prometheus is an effective and reliable way of monitoring a software service like a web application. It will monitor your service and notify you when it goes down. In addition Prometheus also collects numerous kinds of metric data from the target for diagnostics and display purposes. Presented below is a convenient and reliable docker compose script with a complete ensemble of components useful for running a complete Prometheus monitoring system in a local environment for evaluation and integration testing purposes. Be operational with one docker command. Included in the compose design are containers for Prometheus, Prometheus Alertmanager, Mailhog (a test SMTP server) and some Python code acting as a target to be continuously monitored. Prometheus is also able to monitor code developed in Node, Java, Ruby, Go, Rust, C++, C# and PHP to name a few [3]. Easily update the compose script to incorporate your particular service to be monitored.