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Staff Engineer, Infracloud

Eliminating Observability Vendor Lock-in with OpenTelemetry: A Hands-On Demo

Docker Python Elastic Prometheus OpenTelemetry

Struggling to switch from Prometheus to Elasticsearch without rewriting your app? This hands-on guide shows how OpenTelemetry decouples your observability backend with zero app changes. Includes working Docker-based examples and step-by-step guidance.

Prometheus visualizing myapp_requests_total metric via OpenTelemetry and Docker-based Python app
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@weekyuan started using tool Prometheus , 6 months ago.
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@squadcast shared a post, 6 months ago

Prometheus vs Datadog: A Complete Comparison Guide for 2025

Datadog Prometheus

Prometheus is a free, open-source monitoring solution ideal for technical teams who prefer complete control and Kubernetes environments. It uses a pull-based model and requires more technical expertise to maintain. Datadog is a comprehensive, subscription-based platform offering 600+ integrations, advanced analytics, and minimal maintenance overhead, making it better suited for enterprise environments and multi-cloud deployments. Choose Prometheus for cost-effectiveness and customization, or Datadog for ease of use and advanced features.

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@vivek-raj started using tool Prometheus , 6 months, 1 week ago.
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@squadcast shared a post, 7 months, 2 weeks ago

InfluxDB vs Prometheus: A Definitive Guide to Time Series Databases

InfluxData Prometheus

The blog post compares InfluxDB and Prometheus, two leading time series databases, examining their data models, query languages, scalability, ecosystem, and pricing. It highlights Prometheus's multidimensional data model and PromQL, while showcasing InfluxDB's tag-based approach and InfluxQL. The comparison helps readers understand each database's strengths, ideal use cases, and how to choose between them for monitoring and data analysis needs.

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@squadcast shared a post, 8 months ago

Prometheus vs Zabbix: A Comprehensive Comparison Guide for IT Monitoring (2025)

Prometheus Zabbix

This comprehensive comparison examines Prometheus and Zabbix across five key areas:

Monitoring Capabilities

Prometheus: Focused on time-series metrics, especially strong in container environments

Zabbix: Broader monitoring scope including networks, servers, and applications

Scalability & Performance

Prometheus: Excellent for high-volume metrics collection, cloud-native scaling

Zabbix: Strong in traditional enterprise environments with distributed architecture

Configuration & Usage

Prometheus: Modern, YAML-based configuration with simpler learning curve

Zabbix: More complex but feature-rich GUI-based setup

Community & Ecosystem

Prometheus: Strong cloud-native community, extensive modern tooling

Zabbix: Established enterprise community with professional support options

Cost Structure

Prometheus: Fully open-source with optional commercial support

Zabbix: Open-source core with enterprise features available

The article concludes that Prometheus is ideal for modern cloud-native applications, while Zabbix better serves traditional IT infrastructure needs. The choice depends on specific use cases, team expertise, and existing infrastructure.

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@radra23 started using tool Prometheus , 9 months, 2 weeks ago.

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