Netflix FlameScope vs Thanos

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Netflix FlameScope

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Thanos

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Netflix FlameScope vs Thanos: What are the differences?

# Introduction
Netflix FlameScope and Thanos are powerful tools used for analyzing and visualizing performance data for distributed systems. They both provide different features and functionalities to help developers and system administrators understand the behavior of their systems.

1. **Scope of Visualization**: FlameScope focuses on providing visualizations for CPU flame graphs, while Thanos specializes in visualizing monitoring and observability data for distributed systems, including metrics, logs, and traces.
2. **Data Sources**: FlameScope primarily works with profiling data from individual machines, focusing on performance optimization at a low level. In contrast, Thanos consolidates and visualizes data from various sources, making it suitable for analyzing complex interactions across multiple components in a distributed system.
3. **Integrations**: Thanos offers integrations with popular monitoring systems like Prometheus, Grafana, and Cortex, allowing users to easily combine different types of data for holistic analysis. FlameScope, on the other hand, is more independent and can be used with various data sources, but may require additional setup to integrate with other systems.
4. **Scalability**: Thanos is designed to handle large amounts of monitoring data and can scale horizontally to accommodate growing system requirements. FlameScope, while efficient for individual machine profiling, may face limitations when dealing with extensive data sets from multiple sources.
5. **Query Capabilities**: Thanos provides powerful query functionalities that enable users to perform complex queries on monitoring data to extract valuable insights. FlameScope, while effective for visual representation, may lack advanced querying capabilities that are essential for in-depth analysis of distributed systems.
6. **Community and Support**: Thanos has a larger active community of users and contributors, resulting in more frequent updates, improvements, and support resources. FlameScope, being more specialized in CPU flame graph visualization, may have a smaller user base and limited community support for addressing issues and enhancing functionalities.

In Summary, Netflix FlameScope and Thanos offer distinct features for analyzing performance data, with FlameScope focusing on CPU flame graph visualization for individual machines, while Thanos specializes in monitoring and analyzing data from distributed systems with integrations, scalability, and advanced query capabilities.
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What is Netflix FlameScope?

FlameScope begins by displaying the input data as an interactive subsecond-offset heat map. This shows patterns in the data. You can then select a time range to highlight on different patterns, and a flame graph will be generated just for that time range.

What is Thanos?

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity. It can be added seamlessly on top of existing Prometheus deployments and leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.

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Jobs that mention Netflix FlameScope and Thanos as a desired skillset
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San Francisco, United States
What companies use Netflix FlameScope?
What companies use Thanos?
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    What tools integrate with Netflix FlameScope?
    What tools integrate with Thanos?
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      What are some alternatives to Netflix FlameScope and Thanos?
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      Grafana
      Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
      Sentry
      Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.
      Amazon CloudWatch
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