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M3

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OpenTelemetry

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M3 vs OpenTelemetry: What are the differences?

  1. Integration with APM Tools: M3 integrates natively with various application performance monitoring (APM) tools, providing out-of-the-box compatibility for metrics, traces, and logs. On the other hand, OpenTelemetry is an open-source project that aims to provide a vendor-agnostic approach to observability, allowing users to choose their preferred APM tools for instrumentation.

  2. Storage Backends: M3 comes with its own storage backend that is highly optimized for time series data processing and can handle massive scale. In contrast, OpenTelemetry does not provide a specific storage backend but offers exporters to various data stores, giving users the flexibility to choose the most suitable storage solution for their use case.

  3. Language Support: M3 provides support for multiple programming languages, including Go, Java, and Python, with client libraries for easy instrumentation. OpenTelemetry also offers multi-language support but has a broader language range, covering more languages such as JavaScript, Ruby, and PHP.

  4. Community Support: While M3 has a strong community backing with contributions from companies like Uber, OpenTelemetry is a CNCF (Cloud Native Computing Foundation) project that enjoys the support of a broader community, including major tech players like Google, Microsoft, and Red Hat.

  5. Purpose: M3 is primarily focused on monitoring and observability for large-scale distributed systems and is optimized for high performance and scalability. OpenTelemetry, on the other hand, aims to standardize observability instrumentation across different platforms and is more focused on providing a uniform approach to telemetry data collection.

  6. Deployment Flexibility: M3 is often deployed in self-managed environments or as a hosted service, offering users control over their infrastructure. OpenTelemetry can be deployed in various environments, including cloud platforms, on-premises setups, and hybrid architectures, making it adaptable to different deployment scenarios.

In Summary, M3 and OpenTelemetry differ in terms of APM tool integration, storage backends, language support, community backing, focus on observability, and deployment flexibility.

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    What is M3?

    A Prometheus and Graphite compatible metrics platform which includes a native distributed time series database, a highly dynamic and performant aggregation service, query engine and other supporting infrastructure.

    What is OpenTelemetry?

    It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

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    Jobs that mention M3 and OpenTelemetry as a desired skillset
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    What companies use M3?
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    What tools integrate with M3?
    What tools integrate with OpenTelemetry?

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    What are some alternatives to M3 and OpenTelemetry?
    New Relic
    The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
    Kibana
    Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
    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
    It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.
    See all alternatives